Top Data Science Jobs

Job description: an expert teacher in data science who is capable of teaching my brother the theoretical and practical parts of the field. I would like the teaching to be more of a practical based by guiding me through every step of a real world data science project from a to z, such as data collection, data clustering Machine learning, visualization, and statistics, Bassein statistics and more.

My objective: I want to be capable of solving any data science project by using both statistics and machine learning approach’s.

Looking to hire an experienced python developer for various data science projects.

The candidate should be familiar with Python/Django/Flask, Selenium OpenAI ChatGPT, and other Python data science technologies.

I will share the details of the first project with the right candidate and start the contract immediately.

Please apply with your past experience. Thanks

Company Overview: We are a leading technology company specializing in developing advanced chatbot solutions for the dating industry. Our innovative chatbot platforms have transformed the way people connect and find meaningful relationships online. As we continue to revolutionize the dating landscape, we are seeking a talented and creative Dating Chatbot Engineer to join our dynamic team.

Job Description: As a Dating Chatbot Engineer, you will be responsible for designing, developing, and maintaining a realistic and engaging chatbot engine specifically tailored for the dating industry. You will collaborate with a multidisciplinary team of software engineers, data scientists, and UX/UI designers to create a chatbot that simulates human-like conversations and provides personalized dating advice. Your expertise in natural language processing (NLP), machine learning, and conversational AI will be instrumental in creating an exceptional user experience.

Responsibilities:

Design and develop a sophisticated chatbot engine that can engage users in realistic and meaningful conversations related to dating and relationships.

Implement advanced natural language processing (NLP) techniques to enable the chatbot to understand and respond to user queries with empathy and relevance.

Collaborate with data scientists to develop machine learning models that enhance the chatbot's ability to provide personalized dating advice and recommendations.

Integrate the chatbot engine with existing dating platforms and applications, ensuring seamless functionality and compatibility.

Conduct extensive testing and debugging to identify and resolve any issues or inconsistencies in the chatbot's responses.

Stay up-to-date with the latest advancements in NLP, machine learning, and conversational AI to continuously improve the chatbot's capabilities.

Collaborate with UX/UI designers to create an intuitive and visually appealing chatbot interface that enhances the user experience.

Document the chatbot development process, including system architecture, algorithms, and APIs.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Proven experience as a Chatbot Engineer or similar role, with a strong portfolio of successful chatbot projects in the dating or conversational AI domain.

Proficiency in programming languages such as Python, Java, or C++, and experience with chatbot development frameworks.

In-depth knowledge of natural language processing (NLP) techniques, sentiment analysis, and machine learning algorithms.

Familiarity with chatbot development platforms, such as Dialogflow, IBM Watson, or Microsoft Bot Framework.

Strong problem-solving skills and the ability to analyze complex requirements to develop innovative chatbot solutions.

Excellent communication and collaboration skills to work effectively with cross-functional teams.

Attention to detail and a passion for delivering high-quality, user-centric chatbot experiences.

Experience with cloud platforms, such as AWS or Azure, is a plus.

Understanding of the dating industry and user behavior in online dating platforms is highly desirable.

Benefits:

Competitive salary and comprehensive benefits package.

Opportunity to work with cutting-edge technologies and shape the future of the dating industry.

Collaborative and inclusive work environment that encourages innovation and professional growth.

Flexible work hours and the option for remote work.

Ongoing training and development opportunities to enhance your skills and knowledge.

If you are passionate about creating realistic and engaging chatbot experiences in the dating industry, possess a strong technical background, and thrive in a fast-paced, innovative environment, we would love to hear from you. Join our team and revolutionize the way people connect and find love online!

Company Overview: We are a leading technology company specializing in developing advanced chatbot solutions for the dating industry. Our innovative chatbot platforms have transformed the way people connect and find meaningful relationships online. As we continue to revolutionize the dating landscape, we are seeking a talented and creative Dating Chatbot Engineer to join our dynamic team.

Job Description: As a Dating Chatbot Engineer, you will be responsible for designing, developing, and maintaining a realistic and engaging chatbot engine specifically tailored for the dating industry. You will collaborate with a multidisciplinary team of software engineers, data scientists, and UX/UI designers to create a chatbot that simulates human-like conversations and provides personalized dating advice. Your expertise in natural language processing (NLP), machine learning, and conversational AI will be instrumental in creating an exceptional user experience.

Responsibilities:

Design and develop a sophisticated chatbot engine that can engage users in realistic and meaningful conversations related to dating and relationships.

Implement advanced natural language processing (NLP) techniques to enable the chatbot to understand and respond to user queries with empathy and relevance.

Collaborate with data scientists to develop machine learning models that enhance the chatbot's ability to provide personalized dating advice and recommendations.

Integrate the chatbot engine with existing dating platforms and applications, ensuring seamless functionality and compatibility.

Conduct extensive testing and debugging to identify and resolve any issues or inconsistencies in the chatbot's responses.

Stay up-to-date with the latest advancements in NLP, machine learning, and conversational AI to continuously improve the chatbot's capabilities.

Collaborate with UX/UI designers to create an intuitive and visually appealing chatbot interface that enhances the user experience.

Document the chatbot development process, including system architecture, algorithms, and APIs.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Proven experience as a Chatbot Engineer or similar role, with a strong portfolio of successful chatbot projects in the dating or conversational AI domain.

Proficiency in programming languages such as Python, Java, or C++, and experience with chatbot development frameworks.

In-depth knowledge of natural language processing (NLP) techniques, sentiment analysis, and machine learning algorithms.

Familiarity with chatbot development platforms, such as Dialogflow, IBM Watson, or Microsoft Bot Framework.

Strong problem-solving skills and the ability to analyze complex requirements to develop innovative chatbot solutions.

Excellent communication and collaboration skills to work effectively with cross-functional teams.

Attention to detail and a passion for delivering high-quality, user-centric chatbot experiences.

Experience with cloud platforms, such as AWS or Azure, is a plus.

Understanding of the dating industry and user behavior in online dating platforms is highly desirable.

Benefits:

Competitive salary and comprehensive benefits package.

Opportunity to work with cutting-edge technologies and shape the future of the dating industry.

Collaborative and inclusive work environment that encourages innovation and professional growth.

Flexible work hours and the option for remote work.

Ongoing training and development opportunities to enhance your skills and knowledge.

If you are passionate about creating realistic and engaging chatbot experiences in the dating industry, possess a strong technical background, and thrive in a fast-paced, innovative environment, we would love to hear from you. Join our team and revolutionize the way people connect and find love online!

Our team is seeking a highly skilled and experienced Data Scientist with a strong background in AutoML, Machine Learning, Artificial Intelligence, Performance Marketing, and Marketing Mix Modeling. This is an exciting long-term contract opportunity to become a key driver in our team and contribute significantly to the development of our decision intelligence platform.

As our Data Scientist, you will collaborate closely with our software development team, stakeholders, and external partners. You will be responsible for leveraging your expertise to analyze and interpret complex digital data, devise data-driven solutions, and inform decision-making processes. Your input will be instrumental in shaping our platform's features and functionalities.

To ensure we find the perfect fit for our team, we kindly ask all candidates to participate in a 30-45 minute consultation call (free of charge) with our team. During this call, we'll get to know each other better and discuss the specifics of the project and your potential role within our team.

Furthermore, as a part of the selection process, we will provide a scenario for you to complete with data. This test will allow us to assess your skills and ability to contribute to our project. Please note that this will be a paid test, and you will be compensated for your findings.

Responsibilities:

Collaborate with the software development team and stakeholders to drive the decision intelligence platform.

Develop and implement machine learning models, including automated machine learning (AutoML) models.

Contribute to Performance Marketing and Marketing Mix Modeling.

Leverage large datasets to discover patterns and derive insights that will inform business decisions.

Present and explain complex concepts to non-technical team members and stakeholders.

Qualifications:

Advanced degree in Data Science, Computer Science, Statistics, or a related field.

Proven experience in AutoML, Machine Learning, AI, Performance Marketing, and Marketing Mix Modeling.

Strong coding skills, particularly in Python and R.

Excellent communication and presentation skills.

Must be open and available for a long-term contract.

We look forward to reviewing your application!

Our team is seeking a highly skilled and experienced Data Scientist with a strong background in AutoML, Machine Learning, Artificial Intelligence, Performance Marketing, and Marketing Mix Modeling. This is an exciting long-term contract opportunity to become a key driver in our team and contribute significantly to the development of our decision intelligence platform.

As our Data Scientist, you will collaborate closely with our software development team, stakeholders, and external partners. You will be responsible for leveraging your expertise to analyze and interpret complex digital data, devise data-driven solutions, and inform decision-making processes. Your input will be instrumental in shaping our platform's features and functionalities.

To ensure we find the perfect fit for our team, we kindly ask all candidates to participate in a 30-45 minute consultation call (free of charge) with our team. During this call, we'll get to know each other better and discuss the specifics of the project and your potential role within our team.

Furthermore, as a part of the selection process, we will provide a scenario for you to complete with data. This test will allow us to assess your skills and ability to contribute to our project. Please note that this will be a paid test, and you will be compensated for your findings.

Responsibilities:

Collaborate with the software development team and stakeholders to drive the decision intelligence platform.

Develop and implement machine learning models, including automated machine learning (AutoML) models.

Contribute to Performance Marketing and Marketing Mix Modeling.

Leverage large datasets to discover patterns and derive insights that will inform business decisions.

Present and explain complex concepts to non-technical team members and stakeholders.

Qualifications:

Advanced degree in Data Science, Computer Science, Statistics, or a related field.

Proven experience in AutoML, Machine Learning, AI, Performance Marketing, and Marketing Mix Modeling.

Strong coding skills, particularly in Python and R.

Excellent communication and presentation skills.

Must be open and available for a long-term contract.

We look forward to reviewing your application!

Job Title: Data Analyst - State Department

Clearance Required: TS/SCI

Location: Washington, D.C.

Job Summary:

As a Data Analyst at the State Department, you will play a crucial role in leveraging data-driven insights to support strategic decision-making and enhance the department's operations. You will be responsible for analyzing complex datasets, developing statistical models, and providing actionable recommendations to address critical challenges faced by the State Department. Your work will contribute to shaping foreign policy, improving diplomatic efforts, and advancing global security.

Key Responsibilities:

1. Data Analysis: Utilize advanced analytics techniques to extract meaningful insights from diverse and complex datasets, including structured and unstructured data sources.

2. Statistical Modeling: Develop and apply statistical models, machine learning algorithms, and predictive analytics to solve complex problems and support evidence-based decision-making.

3. Data Visualization: Create visually compelling and intuitive dashboards, reports, and data visualizations to effectively communicate complex findings to stakeholders and senior leadership.

4. Policy Support: Collaborate with policy experts and stakeholders to identify data-driven solutions, provide analytical support, and inform policy development and implementation.

5. Data Mining and Cleaning: Identify relevant data sources, collect and preprocess data, perform data wrangling, and ensure data quality and integrity.

6. Collaborative Projects: Work closely with interdisciplinary teams, including diplomats, analysts, and subject matter experts, to address specific challenges and provide data-driven insights.

7. Research and Innovation: Stay up to date with the latest advancements in data science, emerging technologies, and best practices to enhance analytical capabilities within the State Department.

8. Ethical and Legal Compliance: Adhere to data privacy regulations, ensure data security, and maintain confidentiality in handling sensitive information.

Qualifications and Skills:

- A degree in Data Analytics/Science, Computer Science, Statistics, Applied Mathematics, or a related field.

- Proven experience as a Data Analyst, preferably in a government or international affairs setting.

- Proficiency in statistical analysis, machine learning techniques, and data visualization tools (e.g., Python, R, SQL, Tableau, Power BI, or similar).

- Strong problem-solving skills and the ability to translate complex data into actionable insights.

- Proficient in data manipulation, cleaning, and preprocessing techniques.

- Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

- Strong collaboration skills and the ability to work in a fast-paced, multidisciplinary environment.

- Understanding of international relations, foreign policy, or related fields is desirable.

Pangea Group International offers competitive compensation and benefits packages, including opportunities for professional growth and development. As a Data Analyst, you will have the chance to make a meaningful impact on U.S. foreign policy and contribute to global diplomacy.

Note: This job description is intended to provide a general overview of the position and may be subject to change based on the evolving needs of the State Department.

Job Title: Data Analyst - State Department

Clearance Required: TS/SCI

Location: Washington, D.C.

Job Summary:

As a Data Analyst at the State Department, you will play a crucial role in leveraging data-driven insights to support strategic decision-making and enhance the department's operations. You will be responsible for analyzing complex datasets, developing statistical models, and providing actionable recommendations to address critical challenges faced by the State Department. Your work will contribute to shaping foreign policy, improving diplomatic efforts, and advancing global security.

Key Responsibilities:

1. Data Analysis: Utilize advanced analytics techniques to extract meaningful insights from diverse and complex datasets, including structured and unstructured data sources.

2. Statistical Modeling: Develop and apply statistical models, machine learning algorithms, and predictive analytics to solve complex problems and support evidence-based decision-making.

3. Data Visualization: Create visually compelling and intuitive dashboards, reports, and data visualizations to effectively communicate complex findings to stakeholders and senior leadership.

4. Policy Support: Collaborate with policy experts and stakeholders to identify data-driven solutions, provide analytical support, and inform policy development and implementation.

5. Data Mining and Cleaning: Identify relevant data sources, collect and preprocess data, perform data wrangling, and ensure data quality and integrity.

6. Collaborative Projects: Work closely with interdisciplinary teams, including diplomats, analysts, and subject matter experts, to address specific challenges and provide data-driven insights.

7. Research and Innovation: Stay up to date with the latest advancements in data science, emerging technologies, and best practices to enhance analytical capabilities within the State Department.

8. Ethical and Legal Compliance: Adhere to data privacy regulations, ensure data security, and maintain confidentiality in handling sensitive information.

Qualifications and Skills:

- A degree in Data Analytics/Science, Computer Science, Statistics, Applied Mathematics, or a related field.

- Proven experience as a Data Analyst, preferably in a government or international affairs setting.

- Proficiency in statistical analysis, machine learning techniques, and data visualization tools (e.g., Python, R, SQL, Tableau, Power BI, or similar).

- Strong problem-solving skills and the ability to translate complex data into actionable insights.

- Proficient in data manipulation, cleaning, and preprocessing techniques.

- Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

- Strong collaboration skills and the ability to work in a fast-paced, multidisciplinary environment.

- Understanding of international relations, foreign policy, or related fields is desirable.

Pangea Group International offers competitive compensation and benefits packages, including opportunities for professional growth and development. As a Data Analyst, you will have the chance to make a meaningful impact on U.S. foreign policy and contribute to global diplomacy.

Note: This job description is intended to provide a general overview of the position and may be subject to change based on the evolving needs of the State Department.

We are seeking a talented and experienced ML/AI Developer specializing in video analysis to join our dynamic team. As an ML/AI Developer, you will be responsible for developing and implementing cutting-edge machine learning and artificial intelligence algorithms for video analysis applications. Your work will directly contribute to enhancing our video analysis capabilities, enabling us to extract meaningful insights and drive actionable outcomes.

Requirements:

1. Strong background in ML/AI: Solid understanding of machine learning and deep learning algorithms, frameworks, and techniques. Experience with natural language processing and video analysis is highly desirable.

2. Programming proficiency: Proficiency in programming languages such as Python, C++, or Java. Experience with ML/AI frameworks like TensorFlow, PyTorch, or Keras is essential.

3. Data handling and preprocessing: Experience with handling and preprocessing video data, including techniques such as data augmentation, normalization, and feature extraction.

4. Model development and evaluation: Proven experience in developing and training ML/AI models, evaluating their performance, and fine-tuning them for optimal results. Knowledge of evaluation metrics and techniques for video analysis tasks is a plus.

5. Software engineering skills: Familiarity with software engineering best practices, version control systems (e.g., Git), and agile development methodologies. Experience with deploying ML/AI models in production systems is beneficial.

6. Strong problem-solving skills: Ability to analyze complex problems, propose innovative solutions, and implement them effectively. Strong analytical and critical thinking abilities are essential.

7. Communication and teamwork: Excellent verbal and written communication skills. Ability to collaborate effectively with cross-functional teams and explain complex concepts to both technical and non-technical stakeholders.

8. Education and experience: Bachelor's or master's degree in computer science, machine learning, artificial intelligence, or a related field. Proven experience in ML/AI development, preferably with a focus on video analysis, is highly desirable.

Note: Must be available to start immediately.

We are seeking a talented and experienced ML/AI Developer specializing in video analysis to join our dynamic team. As an ML/AI Developer, you will be responsible for developing and implementing cutting-edge machine learning and artificial intelligence algorithms for video analysis applications. Your work will directly contribute to enhancing our video analysis capabilities, enabling us to extract meaningful insights and drive actionable outcomes.

Requirements:

1. Strong background in ML/AI: Solid understanding of machine learning and deep learning algorithms, frameworks, and techniques. Experience with natural language processing and video analysis is highly desirable.

2. Programming proficiency: Proficiency in programming languages such as Python, C++, or Java. Experience with ML/AI frameworks like TensorFlow, PyTorch, or Keras is essential.

3. Data handling and preprocessing: Experience with handling and preprocessing video data, including techniques such as data augmentation, normalization, and feature extraction.

4. Model development and evaluation: Proven experience in developing and training ML/AI models, evaluating their performance, and fine-tuning them for optimal results. Knowledge of evaluation metrics and techniques for video analysis tasks is a plus.

5. Software engineering skills: Familiarity with software engineering best practices, version control systems (e.g., Git), and agile development methodologies. Experience with deploying ML/AI models in production systems is beneficial.

6. Strong problem-solving skills: Ability to analyze complex problems, propose innovative solutions, and implement them effectively. Strong analytical and critical thinking abilities are essential.

7. Communication and teamwork: Excellent verbal and written communication skills. Ability to collaborate effectively with cross-functional teams and explain complex concepts to both technical and non-technical stakeholders.

8. Education and experience: Bachelor's or master's degree in computer science, machine learning, artificial intelligence, or a related field. Proven experience in ML/AI development, preferably with a focus on video analysis, is highly desirable.

Note: Must be available to start immediately.

Hypergrowth is a dynamic and innovative technology company specializing in AI-powered solutions. We are on a mission to revolutionize customer interactions through cutting-edge chatbot development using Rasa X. As a team, we value creativity, collaboration, and continuous learning. Join us to be a part of a forward-thinking organization that's shaping the future of conversational AI.

Job Description:

We are seeking a skilled Rasa X Chatbot Developer to join our talented team and contribute to the design, development, and deployment of advanced chatbot applications. The ideal candidate should have a strong background in natural language processing, machine learning, and hands-on experience with Rasa X.

Responsibilities:

Collaborate with cross-functional teams to understand business requirements and design chatbot solutions that meet client needs.

Develop, train, and fine-tune chatbots using Rasa X framework.

Implement natural language understanding and processing components to improve chatbot accuracy and user experience.

Integrate chatbots with various platforms and channels, such as websites, social media, and messaging apps.

Analyze chatbot performance data, gather insights, and iterate on improvements to enhance conversational interactions.

Stay up-to-date with the latest advancements in AI, NLP, and chatbot development to apply best practices in the field.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Proven experience in developing and deploying chatbots using Rasa X or similar conversational AI frameworks.

Strong programming skills in Python and experience with relevant libraries for NLP and machine learning, such as NLTK, spaCy, scikit-learn, etc.

Solid understanding of natural language processing techniques, intent recognition, entity extraction, and dialogue management.

Familiarity with version control systems (e.g., Git) and CI/CD pipelines for seamless chatbot deployment.

Excellent problem-solving skills and the ability to debug and troubleshoot technical issues.

Strong communication skills and the ability to work effectively in a team environment.

Preferred Qualifications:

Experience with cloud-based services and deployment platforms (e.g., AWS, Azure, Google Cloud).

Knowledge of Docker and containerization for scalable and portable deployments.

Prior experience with chatbot analytics and user behavior analysis.

Understanding of UX/UI design principles for chatbot interfaces.

How to Apply:

If you are passionate about the potential of conversational AI and have the skills to build intelligent chatbots using Rasa X, we'd love to hear from you!

Alchemy Docs is a SAAS company that offers scribing services for physical therapy and healthcare providers. Our core aim is to reduce the clinicians' documentation burden using Large Language Models (LLMs). We're currently developing a Progressive Web App (PWA) and are in search of an exceptional product manager to lead this development.

Job Description:

Alchemy Docs is seeking a detail-oriented, tech-savvy, and strategic Product Manager for our innovative Progressive Web App. This is a unique opportunity to spearhead the development of a chatbot designed to help clinicians input data into electronic medical record systems. You will be integral in crafting our Android application and subsequently expanding it into a web-compatible platform.

Key Responsibilities:

Manage the full product lifecycle, from strategic planning to tactical execution, including creating product specifications and driving project execution.

Work closely with cross-functional teams (Engineering, UX/UI, Data Science) to define and deliver high-quality features that leverage large language models.

Lead the development and integration of a voice-enabled chatbot to facilitate clinicians' data input into our system.

Drive the automation feature to automatically input data into an Android app or website.

Identify market trends, opportunities, and threats, defining corresponding product actions.

Be the product advocate within the company, ensuring the user-centricity of design and engineering decisions.

Effectively communicate and manage stakeholders' expectations throughout the product development lifecycle.

Required Skills and Experience:

Proven experience as a Product Manager, ideally in healthcare or AI-related fields.

Experience in managing end-to-end product lifecycle for Android applications and web platforms.

Familiarity with AI and large language models, and their practical applications.

Deep understanding of Progressive Web Apps and their underlying technologies.

Excellent problem-solving, strategic thinking, and project management skills.

Strong leadership, communication, and collaboration skills.

Previous experience with Electronic Medical Record systems is a plus.

Alchemy Docs is a SAAS company that offers scribing services for physical therapy and healthcare providers. Our core aim is to reduce the clinicians' documentation burden using Large Language Models (LLMs). We're currently developing a Progressive Web App (PWA) and are in search of an exceptional product manager to lead this development.

Job Description:

Alchemy Docs is seeking a detail-oriented, tech-savvy, and strategic Product Manager for our innovative Progressive Web App. This is a unique opportunity to spearhead the development of a chatbot designed to help clinicians input data into electronic medical record systems. You will be integral in crafting our Android application and subsequently expanding it into a web-compatible platform.

Key Responsibilities:

Manage the full product lifecycle, from strategic planning to tactical execution, including creating product specifications and driving project execution.

Work closely with cross-functional teams (Engineering, UX/UI, Data Science) to define and deliver high-quality features that leverage large language models.

Lead the development and integration of a voice-enabled chatbot to facilitate clinicians' data input into our system.

Drive the automation feature to automatically input data into an Android app or website.

Identify market trends, opportunities, and threats, defining corresponding product actions.

Be the product advocate within the company, ensuring the user-centricity of design and engineering decisions.

Effectively communicate and manage stakeholders' expectations throughout the product development lifecycle.

Required Skills and Experience:

Proven experience as a Product Manager, ideally in healthcare or AI-related fields.

Experience in managing end-to-end product lifecycle for Android applications and web platforms.

Familiarity with AI and large language models, and their practical applications.

Deep understanding of Progressive Web Apps and their underlying technologies.

Excellent problem-solving, strategic thinking, and project management skills.

Strong leadership, communication, and collaboration skills.

Previous experience with Electronic Medical Record systems is a plus.

pricesmith.com is a software and consulting firm focused on delivering solutions in the B2B revenue management space, with an initial focus on distribution (high SKU count, high customer count). We have need to expand our data science capabilities with regard to pricing optimization, cross-sell/up-sell (marketbasket), recommendation engines, and churn prediction.

pricesmith.com is a startup company founded by a Ph.D. level researcher and pricing practitioner, a mechanical engineer turned data engineering and product management guru, a software engineer with an eye on improving analytical capabilities, and a pricing practitioner with experience across B2B and B2C spaces.

We have immediate needs to use live client data to help solve problems, and also help us build the algorithms that help drive the pricing and marketing solutions that will empower a currently underserved business segment.

We have some clear projects on our roadmap: the primary one is building a recommendation engine that classifies customers churn status based on available data. We also need a pair of hands to help model current problems: price optimization, market-basket style analysis, and other prediction models.

This position will work directly under the Ph.D. level founder and CEO, supporting the development of our core businesses. We work best in a collaborative environment with multiple touchpoints during the week. We are also very conservative with time, meaning we run and execute lean.

We also love independent thought. A perfect fit for someone who wants to build something world-class to disrupt a field full of incumbents with older, non-agile solutions focused on a different market segment.

**Job Title: Technology and Data Manager (Remote Contract Position)**

**Job Overview:**

We are seeking a highly skilled and motivated Technology and Data Manager to join our team on a remote contract basis. As the Technology and Data Manager, you will play a crucial role in customizing our processes using CRM and other SAAS products, developing custom scripts and integrations, provisioning new user accounts, building informative dashboards, and conducting data analysis to identify valuable business opportunities. Your expertise will drive operational efficiency, enhance data-driven decision-making, and contribute to the overall growth of the company.

**Responsibilities:**

- Customize and optimize existing business processes using our CRM system and various SAAS products to streamline operations and improve productivity.

- Develop and implement custom scripts and integrations to automate repetitive tasks, enhance system functionalities, and ensure seamless data flow across different platforms.

- Manage the provisioning of new user accounts, access permissions, and user roles to ensure proper security and data integrity.

- Collaborate with cross-functional teams to identify key performance indicators (KPIs) and design informative dashboards that provide real-time insights into business performance and trends.

- Conduct data analysis and create actionable reports to uncover business opportunities, identify bottlenecks, and make data-driven recommendations to stakeholders.

- Continuously monitor data quality and integrity, proactively resolving data discrepancies and inconsistencies.

- Stay up-to-date with emerging technologies, tools, and best practices in data management, analytics, and automation, applying them effectively to enhance the company's technological capabilities.

- Provide technical guidance and support to team members, fostering a culture of knowledge-sharing and innovation.

**Requirements:**

- Proven work experience as a Software Developer, Data Analyst, or in a similar role, with a focus on technology management, data analysis, and process optimization.

- Strong proficiency in using CRM systems and various SAAS products, with the ability to customize and integrate them to meet specific business needs.

- Proficiency in programming languages such as Python, JavaScript, or others for developing custom scripts and automation tools.

- Experience with data warehousing, data visualization, and dashboard creation using tools like Power BI, Tableau, or similar platforms.

- Solid understanding of data analysis techniques, statistical methods, and data-driven decision-making.

- Familiarity with cloud-based technologies, APIs, and web services to facilitate seamless integrations.

- Excellent problem-solving skills and the ability to think analytically to address complex technical challenges.

- Strong organizational and project management abilities, with the capacity to handle multiple tasks and prioritize effectively in a dynamic environment.

- Excellent communication and interpersonal skills to collaborate with diverse teams and stakeholders effectively.

**Preferred Qualifications:**

- Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.

- Previous experience in a remote work environment and a self-motivated, proactive attitude.

- Familiarity with business processes and workflows in construction or home improvement industries.

*Note: This is a remote contract position, and the candidate must have access to reliable internet connectivity and communication tools for seamless collaboration with the team.*

Join our dynamic team as a Technology and Data Manager, and together, we will drive technological advancements, data insights, and business growth. If you're ready to make an impact, apply now and embark on an exciting journey with us!

Are you passionate about cutting-edge machine learning and artificial intelligence technologies? Do you have a deep understanding of TensorFlow and its applications in real-world scenarios? We are seeking a highly skilled and motivated TensorFlow Expert to join our dynamic and innovative team.

Job Overview:

As a TensorFlow Expert, you will play a pivotal role in advancing our organization's machine learning capabilities. Your primary responsibility will be to design, develop, and optimize TensorFlow-based models and algorithms to solve complex business problems. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to build scalable and efficient machine learning solutions.

Key Responsibilities:

Model Development: Design, implement, and fine-tune deep learning models using TensorFlow to address specific business challenges. These models may include various architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer models, etc.

Data Preprocessing: Clean, preprocess, and transform data to ensure its suitability for training machine learning models. This step may involve handling missing data, feature engineering, and data augmentation techniques.

Hyperparameter Tuning: Optimize model performance by fine-tuning hyperparameters, conducting experiments, and employing techniques like grid search or Bayesian optimization.

Model Deployment: Integrate TensorFlow models into production environments, ensuring scalability, reliability, and real-time performance. Collaborate with DevOps and software engineering teams to deploy models efficiently.

Model Evaluation: Implement and execute rigorous evaluation strategies to assess the performance of machine learning models. Analyze and interpret results to make data-driven decisions.

Research and Innovation: Stay up-to-date with the latest advancements in machine learning, deep learning, and TensorFlow-related technologies. Propose and explore new approaches to solve business challenges effectively.

Documentation: Create clear and comprehensive documentation for models, algorithms, and workflows, making it accessible to both technical and non-technical stakeholders.

Mentoring and Knowledge Sharing: Mentor junior members of the team, sharing your expertise in TensorFlow and best practices for machine learning development.

Requirements:

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or related fields.

Proven hands-on experience with TensorFlow, building and deploying deep learning models for real-world applications.

Solid understanding of machine learning principles, neural networks, and various architectures.

Proficiency in programming languages such as Python and libraries commonly used in the machine learning ecosystem (NumPy, Pandas, etc.).

Familiarity with GPU acceleration and distributed computing for training large-scale models.

Experience with cloud platforms (AWS, GCP, or Azure) for model deployment and management is a plus.

Strong problem-solving skills, analytical thinking, and attention to detail.

Excellent communication and teamwork abilities, with a passion for collaborating with cross-functional teams.

Join us in shaping the future of AI and machine learning with TensorFlow!

Are you passionate about cutting-edge machine learning and artificial intelligence technologies? Do you have a deep understanding of TensorFlow and its applications in real-world scenarios? We are seeking a highly skilled and motivated TensorFlow Expert to join our dynamic and innovative team.

Job Overview:

As a TensorFlow Expert, you will play a pivotal role in advancing our organization's machine learning capabilities. Your primary responsibility will be to design, develop, and optimize TensorFlow-based models and algorithms to solve complex business problems. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to build scalable and efficient machine learning solutions.

Key Responsibilities:

Model Development: Design, implement, and fine-tune deep learning models using TensorFlow to address specific business challenges. These models may include various architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer models, etc.

Data Preprocessing: Clean, preprocess, and transform data to ensure its suitability for training machine learning models. This step may involve handling missing data, feature engineering, and data augmentation techniques.

Hyperparameter Tuning: Optimize model performance by fine-tuning hyperparameters, conducting experiments, and employing techniques like grid search or Bayesian optimization.

Model Deployment: Integrate TensorFlow models into production environments, ensuring scalability, reliability, and real-time performance. Collaborate with DevOps and software engineering teams to deploy models efficiently.

Model Evaluation: Implement and execute rigorous evaluation strategies to assess the performance of machine learning models. Analyze and interpret results to make data-driven decisions.

Research and Innovation: Stay up-to-date with the latest advancements in machine learning, deep learning, and TensorFlow-related technologies. Propose and explore new approaches to solve business challenges effectively.

Documentation: Create clear and comprehensive documentation for models, algorithms, and workflows, making it accessible to both technical and non-technical stakeholders.

Mentoring and Knowledge Sharing: Mentor junior members of the team, sharing your expertise in TensorFlow and best practices for machine learning development.

Requirements:

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or related fields.

Proven hands-on experience with TensorFlow, building and deploying deep learning models for real-world applications.

Solid understanding of machine learning principles, neural networks, and various architectures.

Proficiency in programming languages such as Python and libraries commonly used in the machine learning ecosystem (NumPy, Pandas, etc.).

Familiarity with GPU acceleration and distributed computing for training large-scale models.

Experience with cloud platforms (AWS, GCP, or Azure) for model deployment and management is a plus.

Strong problem-solving skills, analytical thinking, and attention to detail.

Excellent communication and teamwork abilities, with a passion for collaborating with cross-functional teams.

Join us in shaping the future of AI and machine learning with TensorFlow!

Our Business and Summary of Role

At D-STAX, we are looking to revolutionise the real estate industry by building a platform that facilitates tokenisation of real estate assets and hence allowing individuals to invest in fractions of properties, addressing the issue of ever increasing property prices and our generation being “a generation of renters”. Our platform will be a 24/7 global live exchange, trading tokens across all jurisdictions worldwide, and fundamentally becoming one of the world’s first digital tokenised asset exchanges.

One of our main visions for the platform is the ability to completely digitise the previously manual and bureaucratic end-to-end process of selling a property via traditional means. Property owners will be able to upload their documents, images, and property details in a matter of minutes, and the tokenisation of their asset(s) will be orchestrated via smart contracts using a custom Blockchain architecture instantly. Adhering to this theme, we will also be implementing an automated valuation model, based on comparison to large datasets of properties sourced via APIs and public sources, to further reduce the time required to list a property and to address the time lag and subjectivity issues associated with dealing with real estate agents via traditional means. We will also endeavour to provide class-leading market insights to prospective investors during several stages of the user journey, such as forecasting of ROI for properties that they are interested in, advisory services based on performance, and recommendations engine to enhance personalisation and hence maximise engagement on the platform.

We are seeking data scientists to join our data team to drive these valuation and market insights capabilities, which will be crucial to improving the user journey, maximising engagement and hence investments on the platform, and fundamentally driving us to make better decisions at all echelons of the business backed by objective data-driven findings.

The ideal candidate will be an expert in web scraping in Python to source public data, machine learning and artificial intelligence-based statistical modelling to transform data into interpretable findings in the form of valuations and aggregate insights to be displayed on our platform, will be familiar in graph databases such as Neo4J, and will have experience in productionising workflows using Amazon Web Services (AWS).

Your primary responsibilities will include finding and scraping relevant property-related data, sorting the data in a usable format for modelling, running machine learning models on this data, and productionising the findings using workflows on AWS Step Functions and Neo4J to maximise efficiency.

Responsibilities

-Work with Chief Data Officer to identify key metrics, opportunities, and data sources to build, improve, and iterate upon valuation model and market insights

- Build, deploy, and maintain data extraction and modelling workflows, and back-end infrastructure for the product development pipeline

- Perform data extraction, exploration, and analysis

- Create data visualisations and reports to update the executive team at regular intervals to assess progress and discuss further developments

- Design, train, and implement machine learning algorithms to drive the valuation model and market insights products

- Hybridise and aggregate results from multiple algorithms to account for data variety

Job Qualifications and Skill Sets

- Quantitative background in data science, statistics, computer science, mathematics, engineering etc.:

o Ideally a degree in any of the above however extensive experience in professional services will be considered in lieu of and/or in addition to this.

- Proficiency in the following:

o Python

 Web scraping (BeautifulSoup and Selenium)

 Statistical modelling packages such as scikit, keras, etc.

o Amazon Web Services (AWS) – specifically Lambda, Step Functions, API Gateway, and Sagemaker

o Graph databases such as Neo4J (ability to store, pull/push, and utilise data from)

- Expertise in machine learning and artificial intelligence:

o Complex regression and classification algorithms

o Natural Language Processing (NLP)

- Familiarity with cloud-based infrastructure

Expectations + Working Style

- Full time commitment

- Flexible working hours, however may need to be required to attend calls at particular times to present to executive/advisory board.

- Regular updates and catch-ups with CDO r/e progress

Our Business and Summary of Role

At D-STAX, we are looking to revolutionise the real estate industry by building a platform that facilitates tokenisation of real estate assets and hence allowing individuals to invest in fractions of properties, addressing the issue of ever increasing property prices and our generation being “a generation of renters”. Our platform will be a 24/7 global live exchange, trading tokens across all jurisdictions worldwide, and fundamentally becoming one of the world’s first digital tokenised asset exchanges.

One of our main visions for the platform is the ability to completely digitise the previously manual and bureaucratic end-to-end process of selling a property via traditional means. Property owners will be able to upload their documents, images, and property details in a matter of minutes, and the tokenisation of their asset(s) will be orchestrated via smart contracts using a custom Blockchain architecture instantly. Adhering to this theme, we will also be implementing an automated valuation model, based on comparison to large datasets of properties sourced via APIs and public sources, to further reduce the time required to list a property and to address the time lag and subjectivity issues associated with dealing with real estate agents via traditional means. We will also endeavour to provide class-leading market insights to prospective investors during several stages of the user journey, such as forecasting of ROI for properties that they are interested in, advisory services based on performance, and recommendations engine to enhance personalisation and hence maximise engagement on the platform.

We are seeking data scientists to join our data team to drive these valuation and market insights capabilities, which will be crucial to improving the user journey, maximising engagement and hence investments on the platform, and fundamentally driving us to make better decisions at all echelons of the business backed by objective data-driven findings.

The ideal candidate will be an expert in web scraping in Python to source public data, machine learning and artificial intelligence-based statistical modelling to transform data into interpretable findings in the form of valuations and aggregate insights to be displayed on our platform, will be familiar in graph databases such as Neo4J, and will have experience in productionising workflows using Amazon Web Services (AWS).

Your primary responsibilities will include finding and scraping relevant property-related data, sorting the data in a usable format for modelling, running machine learning models on this data, and productionising the findings using workflows on AWS Step Functions and Neo4J to maximise efficiency.

Responsibilities

-Work with Chief Data Officer to identify key metrics, opportunities, and data sources to build, improve, and iterate upon valuation model and market insights

- Build, deploy, and maintain data extraction and modelling workflows, and back-end infrastructure for the product development pipeline

- Perform data extraction, exploration, and analysis

- Create data visualisations and reports to update the executive team at regular intervals to assess progress and discuss further developments

- Design, train, and implement machine learning algorithms to drive the valuation model and market insights products

- Hybridise and aggregate results from multiple algorithms to account for data variety

Job Qualifications and Skill Sets

- Quantitative background in data science, statistics, computer science, mathematics, engineering etc.:

o Ideally a degree in any of the above however extensive experience in professional services will be considered in lieu of and/or in addition to this.

- Proficiency in the following:

o Python

 Web scraping (BeautifulSoup and Selenium)

 Statistical modelling packages such as scikit, keras, etc.

o Amazon Web Services (AWS) – specifically Lambda, Step Functions, API Gateway, and Sagemaker

o Graph databases such as Neo4J (ability to store, pull/push, and utilise data from)

- Expertise in machine learning and artificial intelligence:

o Complex regression and classification algorithms

o Natural Language Processing (NLP)

- Familiarity with cloud-based infrastructure

Expectations + Working Style

- Full time commitment

- Flexible working hours, however may need to be required to attend calls at particular times to present to executive/advisory board.

- Regular updates and catch-ups with CDO r/e progress

Work with financial data from across planning, accounting, invoicing, and payments, and build models to analyze them and drive business decision-making. Bachelor's or Master's degree in Analytics, BI, Finance, Statistics, Computer Science, or related..

Work with financial data from across planning, accounting, invoicing, and payments, and build models to analyze them and drive business decision-making. Bachelor's or Master's degree in Analytics, BI, Finance, Statistics, Computer Science, or related..

We are seeking a highly skilled Python Developer, with proven expertise in API development using Flask, the use of data science libraries, and LLMs. Experience in machine learning is a significant plus. Join our fully remote team, where you'll be responsible for designing, developing, implementing, and maintaining our applications and systems. You'll play a key role in strengthening our technological infrastructure while propelling our capacity to innovate. Fluent proficiency in both French and English, in writing and speaking, is a prerequisite for this role.

Responsibilities

- Maintain and enhance existing applications and systems.

- Efficiently resolve technical issues.

- Collaborate with other developers and team members.

Requirements

- 3 to 10 years of professional experience in Python development.

- Experience in API development with Flask.

- Familiarity with data science libraries and LLMs.

- Experience in machine learning is a plus.

- Profound knowledge of web technologies and databases.

- Familiarity with development tools and methodologies.

- Excellent communication and problem-solving skills.

- Bachelor’s, Master’s degree or equivalent in Computer Science, Engineering or a related field.

Benefits

- We offer a highly competitive salary.

- Excellent career opportunity in a rapidly growing company.

- The flexibility to work from anywhere.

Description

We are seeking a highly skilled Python Developer, with proven expertise in API development using Flask, the use of data science libraries, and LLMs. Experience in machine learning is a significant plus. Join our fully remote team, where you'll be responsible for designing, developing, implementing, and maintaining our applications and systems. You'll play a key role in strengthening our technological infrastructure while propelling our capacity to innovate. Fluent proficiency in both French and English, in writing and speaking, is a prerequisite for this role.

Responsibilities

- Design, develop, and implement software applications and systems.

- Develop and maintain APIs using Flask.

- Utilize data science libraries and LLMs in system development.

- Test and debug applications and systems.

- Maintain and enhance existing applications and systems.

- Efficiently resolve technical issues.

- Collaborate with other developers and team members.

Requirements

- 3 to 10 years of professional experience in Python development.

- Experience in API development with Flask.

- Familiarity with data science libraries and LLMs.

- Experience in machine learning is a plus.

- Profound knowledge of web technologies and databases.

- Familiarity with development tools and methodologies.

- Excellent communication and problem-solving skills.

- Bachelor’s, Master’s degree or equivalent in Computer Science, Engineering or a related field.

Benefits

- We offer a highly competitive salary.

- Excellent career opportunity in a rapidly growing company.

- The flexibility to work from anywhere.

Description

We are seeking a highly skilled Python Developer, with proven expertise in API development using Flask, the use of data science libraries, and LLMs. Experience in machine learning is a significant plus. Join our fully remote team, where you'll be responsible for designing, developing, implementing, and maintaining our applications and systems. You'll play a key role in strengthening our technological infrastructure while propelling our capacity to innovate. Fluent proficiency in both French and English, in writing and speaking, is a prerequisite for this role.

Responsibilities

- Design, develop, and implement software applications and systems.

- Develop and maintain APIs using Flask.

- Utilize data science libraries and LLMs in system development.

- Test and debug applications and systems.

- Maintain and enhance existing applications and systems.

- Efficiently resolve technical issues.

- Collaborate with other developers and team members.

Requirements

- 3 to 10 years of professional experience in Python development.

- Experience in API development with Flask.

- Familiarity with data science libraries and LLMs.

- Experience in machine learning is a plus.

- Profound knowledge of web technologies and databases.

- Familiarity with development tools and methodologies.

- Excellent communication and problem-solving skills.

- Bachelor’s, Master’s degree or equivalent in Computer Science, Engineering or a related field.

Benefits

- We offer a highly competitive salary.

- Excellent career opportunity in a rapidly growing company.

- The flexibility to work from anywhere.