Top Data Science Jobs

We are looking for an enthusiastic and talented AI Solution Researcher to join our team and spearhead the quest for an AI-driven solution to optimize our call center operations. Your primary responsibility will be to research and identify the most suitable AI service that aligns with our specific needs, allowing us to streamline sales and support calls. Additionally, you will play a crucial role in assisting our developers with integrating the chosen AI solution seamlessly with our Bitrix24 platform.

Responsibilities:

Conduct In-depth Research:

Thoroughly investigate and analyze the current AI technologies and service providers in the market that cater to call center operations. Explore their capabilities, features, pricing, and integration options.

Identify Business Needs:

Collaborate with the call center management team to understand the specific requirements and challenges of our sales and support calls. Identify areas where AI solutions can enhance efficiency, customer experience, and overall performance.

Bitrix24 Integration:

Work closely with our IT team to assess the compatibility and feasibility of integrating the chosen AI solution with our existing Bitrix24 platform. Ensure a seamless integration process to maximize efficiency and data synchronization.

Evaluate AI Service Providers: Assess and compare different AI service providers to determine their suitability for our call center needs. Consider factors such as scalability, customization options, compatibility with existing systems, and ease of implementation.

Requirements:

Strong Experience in Computer Science, Engineering, Data Science, or a related field.

Proven experience in researching and evaluating AI technologies and service providers.

Familiarity with call center operations and processes.

Strong analytical and problem-solving skills.

Excellent communication and presentation abilities.

Ability to work independently and as part of a team.

Demonstrated passion for staying updated with the latest AI trends and innovations.

This is an exciting opportunity to contribute to the advancement of our call center capabilities through cutting-edge AI solutions. If you are a self-driven researcher with a passion for technology and a desire to make a significant impact, we encourage you to apply. Join us on our journey to transform our call center operations and deliver exceptional customer experiences through AI-powered solutions.

We are looking for an enthusiastic and talented AI Solution Researcher to join our team and spearhead the quest for an AI-driven solution to optimize our call center operations. Your primary responsibility will be to research and identify the most suitable AI service that aligns with our specific needs, allowing us to streamline sales and support calls. Additionally, you will play a crucial role in assisting our developers with integrating the chosen AI solution seamlessly with our Bitrix24 platform.

Responsibilities:

Conduct In-depth Research:

Thoroughly investigate and analyze the current AI technologies and service providers in the market that cater to call center operations. Explore their capabilities, features, pricing, and integration options.

Identify Business Needs:

Collaborate with the call center management team to understand the specific requirements and challenges of our sales and support calls. Identify areas where AI solutions can enhance efficiency, customer experience, and overall performance.

Bitrix24 Integration:

Work closely with our IT team to assess the compatibility and feasibility of integrating the chosen AI solution with our existing Bitrix24 platform. Ensure a seamless integration process to maximize efficiency and data synchronization.

Evaluate AI Service Providers: Assess and compare different AI service providers to determine their suitability for our call center needs. Consider factors such as scalability, customization options, compatibility with existing systems, and ease of implementation.

Requirements:

Strong Experience in Computer Science, Engineering, Data Science, or a related field.

Proven experience in researching and evaluating AI technologies and service providers.

Familiarity with call center operations and processes.

Strong analytical and problem-solving skills.

Excellent communication and presentation abilities.

Ability to work independently and as part of a team.

Demonstrated passion for staying updated with the latest AI trends and innovations.

This is an exciting opportunity to contribute to the advancement of our call center capabilities through cutting-edge AI solutions. If you are a self-driven researcher with a passion for technology and a desire to make a significant impact, we encourage you to apply. Join us on our journey to transform our call center operations and deliver exceptional customer experiences through AI-powered solutions.

We are a growing e-commerce brand, seeking a talented Business Analyst / Data Scientist to join our dynamic team. Our company is dedicated to providing exceptional products and experiences to our valued customers. We are looking for an analytical-minded individual who can leverage data insights to optimize customer segmentation, develop data-driven marketing strategies, and contribute to our continuous growth.

Responsibilities:

Customer Segmentation: Utilize advanced data analysis techniques to segment our customer base based on demographics, behavior, and purchase history. Identify high-value customer segments and recommend personalized marketing strategies for each segment.

Data-Driven Marketing: Collaborate with the marketing team to develop data-driven marketing campaigns. Use customer insights to optimize ad targeting, content personalization, and campaign performance.

Data Analysis & Visualization: Analyze customer data using statistical methods, machine learning, and other data analysis techniques. Present findings and actionable insights through clear and compelling visualizations and reports.

Customer Journey Mapping: Map the customer journey, from acquisition to retention, and identify opportunities for optimization. Implement A/B testing and track key performance metrics to improve customer experiences.

Predictive Analytics: Develop predictive models to forecast customer behavior, including churn prediction, customer lifetime value, and product preferences.

Data Infrastructure: Work with the technical team to improve data collection processes, data quality, and data integration from various sources, ensuring a robust and reliable data infrastructure.

Market Research: Conduct market research and competitor analysis to identify trends and opportunities that inform our marketing and business strategies.

Collaborative Team Player: Collaborate with cross-functional teams, including marketing, product, and IT, to align data-driven strategies with business goals.

Qualifications:

Bachelor's or Master's degree in Business Analytics, Data Science, Statistics, Computer Science, or a related field.

Proven experience in data analysis, customer segmentation, and data-driven marketing strategies.

Proficiency in data manipulation, modeling, and analysis using tools such as Python, R, SQL, or other relevant languages.

Strong skills in data visualization and reporting using tools like Tableau, Power BI, or similar.

Familiarity with machine learning techniques and predictive modeling.

Experience with e-commerce data analytics and marketing platforms (e.g., Google Analytics, Facebook Business Manager) is a plus.

Excellent communication skills, with the ability to present complex data insights to both technical and non-technical stakeholders.

Strong problem-solving abilities and a proactive approach to data-driven decision-making.

Ability to work independently and as part of a collaborative team in a fast-paced, agile environment.

Join our team and be part of a company that values innovation, growth, and data-driven excellence. This is an excellent opportunity to apply your analytical skills and drive our business success forward.

To apply, please submit your resume, along with a cover letter outlining your relevant experience and how you plan to contribute to our data-driven approach in the E-commerce space.

We are a growing e-commerce brand, seeking a talented Business Analyst / Data Scientist to join our dynamic team. Our company is dedicated to providing exceptional products and experiences to our valued customers. We are looking for an analytical-minded individual who can leverage data insights to optimize customer segmentation, develop data-driven marketing strategies, and contribute to our continuous growth.

Responsibilities:

Customer Segmentation: Utilize advanced data analysis techniques to segment our customer base based on demographics, behavior, and purchase history. Identify high-value customer segments and recommend personalized marketing strategies for each segment.

Data-Driven Marketing: Collaborate with the marketing team to develop data-driven marketing campaigns. Use customer insights to optimize ad targeting, content personalization, and campaign performance.

Data Analysis & Visualization: Analyze customer data using statistical methods, machine learning, and other data analysis techniques. Present findings and actionable insights through clear and compelling visualizations and reports.

Customer Journey Mapping: Map the customer journey, from acquisition to retention, and identify opportunities for optimization. Implement A/B testing and track key performance metrics to improve customer experiences.

Predictive Analytics: Develop predictive models to forecast customer behavior, including churn prediction, customer lifetime value, and product preferences.

Data Infrastructure: Work with the technical team to improve data collection processes, data quality, and data integration from various sources, ensuring a robust and reliable data infrastructure.

Market Research: Conduct market research and competitor analysis to identify trends and opportunities that inform our marketing and business strategies.

Collaborative Team Player: Collaborate with cross-functional teams, including marketing, product, and IT, to align data-driven strategies with business goals.

Qualifications:

Bachelor's or Master's degree in Business Analytics, Data Science, Statistics, Computer Science, or a related field.

Proven experience in data analysis, customer segmentation, and data-driven marketing strategies.

Proficiency in data manipulation, modeling, and analysis using tools such as Python, R, SQL, or other relevant languages.

Strong skills in data visualization and reporting using tools like Tableau, Power BI, or similar.

Familiarity with machine learning techniques and predictive modeling.

Experience with e-commerce data analytics and marketing platforms (e.g., Google Analytics, Facebook Business Manager) is a plus.

Excellent communication skills, with the ability to present complex data insights to both technical and non-technical stakeholders.

Strong problem-solving abilities and a proactive approach to data-driven decision-making.

Ability to work independently and as part of a collaborative team in a fast-paced, agile environment.

Join our team and be part of a company that values innovation, growth, and data-driven excellence. This is an excellent opportunity to apply your analytical skills and drive our business success forward.

To apply, please submit your resume, along with a cover letter outlining your relevant experience and how you plan to contribute to our data-driven approach in the E-commerce space.

About the Role:

We are currently seeking a highly skilled Freelance Machine Learning Engineer to join our growing team. You will be responsible for designing and implementing machine learning models, conducting data analysis, and creating predictive models. You will be working closely with our product development team, and your work will significantly contribute to the innovative products we deliver to our customers.

Responsibilities:

Design, develop, and implement machine learning models that drive our product features.

Conduct data analysis to draw insights and identify potential areas for the application of machine learning models.

Work with large, complex data sets to extract valuable business insights.

Use machine learning and statistical methods, data mining, predictive modeling, and AI to create solutions.

Collaborate with cross-functional teams to define, design, and ship new features.

Implement robust machine learning production pipelines.

Stay up-to-date with the latest machine learning developments and best practices.

Required Qualifications:

Proven experience as a Machine Learning Engineer or similar role.

Knowledge of machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).

Strong statistical and mathematical knowledge, with the ability to create predictive models.

Experience with data science toolkits, such as Python, R, or SAS.

Proficiency with a database querying language such as SQL.

Excellent skills in data pre-processing, data wrangling and feature engineering.

Understanding of data structures, data modeling, and software architecture.

Excellent problem-solving skills and ability to communicate complex concepts to technical and non-technical stakeholders.

Desirable Qualifications:

Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

Experience in Deep Learning, Text Mining, or Natural Language Processing.

Familiarity with cloud services (AWS, Google Cloud, or Azure) and understanding of distributed systems.

Experience in building 'end-to-end' machine learning models, from the extraction of data to the deployment of the models.

If you are a passionate, dedicated, and skilled Machine Learning Engineer, we would love to hear from you. This role provides the opportunity to work on innovative projects with a dynamic team. Apply today to join us.

Location: Remote

If you believe that your skills and expertise align with the requirements of this position, please send us your CV for review. Additionally, if you have a portfolio or examples of previous work, we would be interested in seeing them. We are eager to assess your qualifications and establish a cooperative relationship as soon as possible.

We look forward to hearing from you.

Job Title: Web Developer - Chatbot and AI Specialist

We are seeking an experienced Web Developer with expertise in Chatbot and Artificial Intelligence (AI) technologies. The ideal candidate will have a strong background in data processing, user experience enhancement, website design, and mobile app development. As a Chatbot and AI Specialist, you will be responsible for developing customizable options, both on the back-end and front-end, as well as integrating APIs.

Key Responsibilities:

- Develop and maintain chatbot functionalities using Python, JavaScript, and other programming languages.

- Design and implement database structures to support data analysis and machine learning algorithms.

- Enhance user experience through the application of neural networks, deep learning, and natural language processing (NLP) techniques.

- Utilize recurrent neural networks (RNN) to improve chatbot performance and accuracy.

- Experience working with popular chatbot frameworks such as Dialogflow, Rasa, etc. is highly desirable.

- Familiarity with AI technologies like TensorFlow or PyTorch is a plus.

- Experience working with cloud computing services such as AWS, Azure, or Google Cloud is preferred.

- Proficiency in mobile app development for iOS and/or Android platforms.

- Ensure responsiveness and full-time availability to address any technical issues or improvements.

Qualifications:

- Bachelor's degree in Computer Science or a related field.

- Proven experience in web development, particularly in chatbot and AI-related projects.

- Strong programming skills in Python, JavaScript, and other relevant languages.

- Excellent understanding of database design and data processing.

- Familiarity with machine learning algorithms and application development.

- Adept at working with neural networks, deep learning, and NLP techniques.

- Previous experience with chatbot frameworks and AI technologies is highly desirable.

- Familiarity with cloud computing services is preferred.

- Proficiency in mobile app development for iOS and/or Android platforms.

- Strong problem-solving skills and ability to work independently.

- Excellent communication and collaboration skills.

If you are passionate about web development and have a strong interest in chatbot and AI technologies, we want to hear from you. Join our team and contribute to the exciting world of intelligent web solutions.

Description:

We are looking for an experienced Azure OpenAI expert to join our team. The ideal candidate will have a strong understanding of the Azure OpenAI Service and be able to use it to create and fine-tune language models. They will also be able to add our own data to the models and query tables to get relevant data for questions.

Responsibilities:

Create and fine-tune Azure OpenAI models

Add our own data to the models

Query tables to get relevant data for questions

Work with other engineers to integrate the models into our products

Stay up-to-date on the latest Azure OpenAI Service features and capabilities

Qualifications:

Strong understanding of natural language processing

Experience with data science and machine learning

Excellent problem-solving and analytical skills

Ability to work independently and as part of a team

Description:

We are looking for an experienced Azure OpenAI expert to join our team. The ideal candidate will have a strong understanding of the Azure OpenAI Service and be able to use it to create and fine-tune language models. They will also be able to add our own data to the models and query tables to get relevant data for questions.

Responsibilities:

Create and fine-tune Azure OpenAI models

Add our own data to the models

Query tables to get relevant data for questions

Work with other engineers to integrate the models into our products

Stay up-to-date on the latest Azure OpenAI Service features and capabilities

Qualifications:

Strong understanding of natural language processing

Experience with data science and machine learning

Excellent problem-solving and analytical skills

Ability to work independently and as part of a team

Job Title: Remote Data Solutions Engineer

Job Description:

We are seeking a talented and highly motivated Remote Data Solutions Engineer to design and implement data solutions that align with business, technical, and user requirements. As a Data Solutions Engineer, you will be responsible for building modern data pipelines, preprocessing data using languages like SQL and Python, and analyzing raw data from various sources to develop and maintain high-quality datasets. This role requires a deep understanding of data modeling for relational databases, NoSQL databases, and data warehouses, as well as experience with big data tools like Hadoop, Spark, Kafka, and more.

Responsibilities:

Design data solutions to meet business, technical, and user requirements, including building end-to-end data pipelines.

Preprocess data using SQL, Python, or other relevant languages.

Analyze raw data from multiple sources, develop and maintain data sets, and improve data quality and efficiency.

Conduct complex data analysis and report on results.

Create pipelines on Azure Synapse or similar platforms for data processing.

Possess good knowledge of Azure data processing tools.

Identify, design, and implement process improvements, including automating manual processes and optimizing data delivery.

Implement ETL pipelines using Azure Synapse or other similar resources.

Provide datasets tailored to the needs of Data Analysts and Data Scientists.

Improve the utilization of data resources and processes for enhanced performance and cost reduction.

Support compliance with data, information, and security management requirements (GDPR, LGPD, etc.).

Master data lifecycle, standards, and technologies used by the team and the company.

Deliver projects on time and with high quality.

Perform technical documentation of resources, pipelines, data sources, and datasets.

Possess troubleshooting and debugging skills for faster data defect fixing.

Must-Have Requirements:

Strong background in data modeling for relational databases, NoSQL databases, and data warehouses.

Experience with big data tools such as Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend, etc.

Bachelor's degree in computer science or related IT courses.

Technical expertise in data models, data mining, and segmentation techniques.

Solid knowledge of relational and NoSQL databases (SQL Server, Snowflake, Cosmos DB).

Proficiency in programming languages like Java and Python.

Hands-on experience in building pipelines and ETL with Azure Synapse, DBT, Stitch, or similar tools.

Analytical, problem-solving, and decision-making skills.

Strong knowledge of working on and managing big data environments.

Excellent analytical, technical, interpersonal, and organizational skills, with the ability to work well in a team.

Experience working in an agile environment.

Excellent communication skills with sponsors, CSM teams, and clients.

We Value:

Good working knowledge of Continuous Delivery Practices with Azure DevOps or similar frameworks.

Experience with data quality assurance.

Ability to work collaboratively within a team, with strong analytical, problem-solving, and communication skills.

Flexibility and adaptability to work in ambiguous situations.

Previous experience working within an Agile team.

Understanding of Agile practices and proficiency in using tools like Azure DevOps to enable the delivery of high-quality data resources.

Employment Type:

This is a full-time remote position with availability required between 10 am to 8 pm. The job is a contract-based role and has no association with any other companies.

I am looking for an intelligent, organized, and task-oriented person to be my new full-time Executive Assistant.

- We are at the forefront of the Machine Learning craze, so a hunger for learning about and keeping up with the latest technologies is an awesome plus

- We offer unlimited vacation time - take it when you need it (yes, we’re that cool, as long as you’re making waves and getting your work done)

- Ideally, you will come with a bit of knowledge of the software world (even better if you know something about machine learning)

- Since we do a lot of exciting customer-facing work, some experience in CRM platforms would be great

About Jaxon:

Jaxon is an AI Builder Agent that guides developers through the design and implementation of complex AI systems. Our proprietary reasoning engine ensures best practices are employed and pitfalls are avoided. By capturing company-specific knowledge, it becomes a trusted resource for current and future data science team members. We implement a custom large language model like ChatGPT on our customers' infrastructure, keeping their data secure and serving as a foundation for company knowledge that will continually improve with use and feedback.

I am looking for an intelligent, organized, and task-oriented person to be my new full-time Executive Assistant.

- We are at the forefront of the Machine Learning craze, so a hunger for learning about and keeping up with the latest technologies is an awesome plus

- We offer unlimited vacation time - take it when you need it (yes, we’re that cool, as long as you’re making waves and getting your work done)

- Ideally, you will come with a bit of knowledge of the software world (even better if you know something about machine learning)

- Since we do a lot of exciting customer-facing work, some experience in CRM platforms would be great

About Jaxon:

Jaxon is an AI Builder Agent that guides developers through the design and implementation of complex AI systems. Our proprietary reasoning engine ensures best practices are employed and pitfalls are avoided. By capturing company-specific knowledge, it becomes a trusted resource for current and future data science team members. We implement a custom large language model like ChatGPT on our customers' infrastructure, keeping their data secure and serving as a foundation for company knowledge that will continually improve with use and feedback.

We are searching for a highly motivated and analytically minded individual to join our digital marketing company as a Marketing Data Analyst. As an entry-level member of the team, you will play a critical role in supporting our marketing initiatives by gathering, analyzing, and interpreting data from diverse sources to enhance campaign success and drive data-driven decision-making.

Responsibilities:

● Gather, sanitize, and organize marketing data from a variety of sources such as website analytics, social media platforms, email campaigns, and advertising channels.

● Assist with the development and upkeep of marketing databases to ensure data correctness and completeness.

Conduct data analysis to find trends, patterns in customer behavior, and critical performance measures for marketing efforts.

● Work with senior data analysts and marketing teams to develop reports, presentations, and data visualizations that effectively communicate insights and discoveries.

● To increase campaign performance and conversion rates, assist in the execution of A/B testing and provide analysis of test outcomes.

● To discover opportunities and industry trends, conduct market research and competition analysis.

● Assist with the development and execution of data tracking and tagging strategies in order to accurately capture important marketing data.

● To continuously improve data analysis processes, stay up to date on the newest data analysis methodologies, tools, and best practices.

Requirements:

● A bachelor's degree in Data Science, Marketing, Statistics, Business, or a closely related discipline is required.

● Data analysis tools such as Excel, Google Sheets, or other spreadsheet software are required.

● A basic familiarity of data visualization tools (such as Tableau and Power BI) is advantageous.

● Strong analytical and problem-solving abilities, as well as a desire to work with data.

● It is beneficial to be familiar with digital marketing principles and platforms (for example, Google Analytics and Facebook Ads).

● Knowledge of programming languages such as Python or R is advantageous but not required.

● Excellent attention to detail and the capacity to work efficiently with enormous datasets.

● Strong communication skills and the ability to collaborate in a team atmosphere are required.

[Company Description]: We are a leading B2B business operating in the field of marketing. Our company aims to leverage cutting-edge AI technologies to enhance our products and services, and we are committed to staying up-to-date with the latest developments in the AI world. To achieve this, we are seeking a highly motivated and knowledgeable AI researcher to join our team.

[Job Overview]:

As an AI researcher specializing in the B2B sector, you will be responsible for generating weekly reports on the latest advancements, breakthroughs, and trends in the field of artificial intelligence. Your reports will be utilized to keep our company informed about emerging technologies, industry trends, and potential applications of AI within our business operations.

[Responsibilities]:

Research and Analysis: Stay up-to-date with the latest news, research papers, and developments in the AI industry, particularly focusing on areas relevant to the B2B sector (we specialize in Linkedin, Emails and cold calls)

Curate Information: Identify and curate the most relevant and impactful news, articles, publications, and case studies that have direct or potential applications for our B2B business.

Weekly Reports: Compile comprehensive yet concise weekly reports summarizing the key insights, developments, and opportunities related to AI in the B2B space.

Industry Trends: Monitor AI-related trends in the B2B industry, including the adoption of AI technologies by competitors, partners, and relevant stakeholders.

Recommendations: Provide actionable recommendations based on your research findings, highlighting potential AI strategies and applications that can benefit our B2B business.

Collaboration: Work closely with cross-functional teams to gather requirements, understand business objectives, and align the AI research reports with our company's strategic goals.

Data Visualization: Present the weekly reports in a visually appealing and easily understandable manner, utilizing charts, graphs, and other data visualization techniques.

Continuous Learning: Continuously expand your knowledge in AI, machine learning, natural language processing, computer vision, and related fields to maintain expertise and provide valuable insights.

[Qualifications]:

Knowledge in Computer Science, Artificial Intelligence, Data Science, or a related field.

Strong knowledge and understanding of AI technologies, including machine learning, deep learning, and natural language processing.

Proven experience in researching, analyzing, and summarizing technical information related to AI.

Proficiency in data visualization tools and techniques to effectively communicate insights.

Excellent written and verbal communication skills.

Ability to work independently and efficiently manage time to meet weekly reporting deadlines.

[How to Apply]: Please submit your application to miruna@horizonb2b.com with the subject line "AI Researcher Application - B2B Weekly Reports."

[Company Description]: We are a leading B2B business operating in the field of marketing. Our company aims to leverage cutting-edge AI technologies to enhance our products and services, and we are committed to staying up-to-date with the latest developments in the AI world. To achieve this, we are seeking a highly motivated and knowledgeable AI researcher to join our team.

[Job Overview]:

As an AI researcher specializing in the B2B sector, you will be responsible for generating weekly reports on the latest advancements, breakthroughs, and trends in the field of artificial intelligence. Your reports will be utilized to keep our company informed about emerging technologies, industry trends, and potential applications of AI within our business operations.

[Responsibilities]:

Research and Analysis: Stay up-to-date with the latest news, research papers, and developments in the AI industry, particularly focusing on areas relevant to the B2B sector (we specialize in Linkedin, Emails and cold calls)

Curate Information: Identify and curate the most relevant and impactful news, articles, publications, and case studies that have direct or potential applications for our B2B business.

Weekly Reports: Compile comprehensive yet concise weekly reports summarizing the key insights, developments, and opportunities related to AI in the B2B space.

Industry Trends: Monitor AI-related trends in the B2B industry, including the adoption of AI technologies by competitors, partners, and relevant stakeholders.

Recommendations: Provide actionable recommendations based on your research findings, highlighting potential AI strategies and applications that can benefit our B2B business.

Collaboration: Work closely with cross-functional teams to gather requirements, understand business objectives, and align the AI research reports with our company's strategic goals.

Data Visualization: Present the weekly reports in a visually appealing and easily understandable manner, utilizing charts, graphs, and other data visualization techniques.

Continuous Learning: Continuously expand your knowledge in AI, machine learning, natural language processing, computer vision, and related fields to maintain expertise and provide valuable insights.

[Qualifications]:

Knowledge in Computer Science, Artificial Intelligence, Data Science, or a related field.

Strong knowledge and understanding of AI technologies, including machine learning, deep learning, and natural language processing.

Proven experience in researching, analyzing, and summarizing technical information related to AI.

Proficiency in data visualization tools and techniques to effectively communicate insights.

Excellent written and verbal communication skills.

Ability to work independently and efficiently manage time to meet weekly reporting deadlines.

[How to Apply]: Please submit your application to miruna@horizonb2b.com with the subject line "AI Researcher Application - B2B Weekly Reports."

Our company provides labor-only moving services. We are currently seeking a data science contractor with specific expertise in predictive analytics and machine learning to help us enhance our marketing efforts.

Project Goal: To develop predictive models that can identify trends and predict future customer behavior based on our existing data. We hope to leverage these insights to better personalize our marketing strategy, increase customer engagement, and ultimately grow our business.

Tasks:

- Analyze our existing customer and marketing data to identify trends and patterns.

- Develop and implement predictive models to forecast customer behavior.

- Work closely with our team to translate the data into actionable marketing strategies.

- Provide ongoing monitoring and adjustment of the models as necessary.

- Prepare clear reports and visualizations to explain your findings to our team.

Skills and Qualifications:

- Proven experience in data science, with a focus on predictive analytics and machine learning.

- Proficiency in relevant data analysis and machine learning tools (e.g., R, Python, SPSS, RapidMiner, Google Cloud's AutoML, Azure Machine Learning).

- Experience with data visualization tools (e.g., Tableau, PowerBI).

- Excellent communication skills, with the ability to translate complex data into easy-to-understand insights.

- Prior experience in the moving industry or a similar field is a plus.

Our company provides labor-only moving services. We are currently seeking a data science contractor with specific expertise in predictive analytics and machine learning to help us enhance our marketing efforts.

Project Goal: To develop predictive models that can identify trends and predict future customer behavior based on our existing data. We hope to leverage these insights to better personalize our marketing strategy, increase customer engagement, and ultimately grow our business.

Tasks:

- Analyze our existing customer and marketing data to identify trends and patterns.

- Develop and implement predictive models to forecast customer behavior.

- Work closely with our team to translate the data into actionable marketing strategies.

- Provide ongoing monitoring and adjustment of the models as necessary.

- Prepare clear reports and visualizations to explain your findings to our team.

Skills and Qualifications:

- Proven experience in data science, with a focus on predictive analytics and machine learning.

- Proficiency in relevant data analysis and machine learning tools (e.g., R, Python, SPSS, RapidMiner, Google Cloud's AutoML, Azure Machine Learning).

- Experience with data visualization tools (e.g., Tableau, PowerBI).

- Excellent communication skills, with the ability to translate complex data into easy-to-understand insights.

- Prior experience in the moving industry or a similar field is a plus.

We are seeking a talented and experienced Remote Lead AI Data Scientist to join our team on a part-time basis. Our company provides custom AI development services, and we need someone who is strong in Python and has experience working in a senior role at custom development agencies.

As a Lead AI Data Scientist, you will be responsible for developing and implementing custom AI solutions for our clients. This role requires someone with extensive experience in Python, and who has a solid background in custom development agencies. You will also be expected to work in a senior role and contribute to the overall success of the company.

Requirements:

2 years of machine learning engineering experience

3 years of AI data science experience

At least 1 year of management experience

Ability to work independently and meet deadlines

Strong communication and problem-solving skills

Additionally, you must be available for at least 10 hours per week with the possibility of more hours as projects come in.

Compensation: We offer a very high hourly compensation rate of $50/hour on a part-time basis.

If you meet these requirements and are interested in joining our team, please apply with your resume and relevant experience. Also, please include this phrase to your cover letter in order to be considered: "I meet your criteria". We look forward to hearing from you!

We are seeking a talented and experienced Remote Lead AI Data Scientist to join our team on a part-time basis. Our company provides custom AI development services, and we need someone who is strong in Python and has experience working in a senior role at custom development agencies.

As a Lead AI Data Scientist, you will be responsible for developing and implementing custom AI solutions for our clients. This role requires someone with extensive experience in Python, and who has a solid background in custom development agencies. You will also be expected to work in a senior role and contribute to the overall success of the company.

Requirements:

2 years of machine learning engineering experience

3 years of AI data science experience

At least 1 year of management experience

Ability to work independently and meet deadlines

Strong communication and problem-solving skills

Additionally, you must be available for at least 10 hours per week with the possibility of more hours as projects come in.

Compensation: We offer a very high hourly compensation rate of $50/hour on a part-time basis.

If you meet these requirements and are interested in joining our team, please apply with your resume and relevant experience. Also, please include this phrase to your cover letter in order to be considered: "I meet your criteria". We look forward to hearing from you!

We are seeking a talented and experienced Remote AI Data Scientist to join our team on a part-time basis. Our company provides custom AI development services, and we need someone who is strong in Python and has experience working in a senior role at custom development agencies.

As an AI Data Scientist, you will be responsible for developing and implementing custom AI solutions for our clients. This role requires someone with extensive experience in Python, and who has a solid background in custom development agencies. You will also be expected to work in a senior role and contribute to the overall success of the company.

Requirements:

2 years of machine learning engineering experience

3 years of AI data science experience

At least 1 year of management experience

Ability to work independently and meet deadlines

Strong communication and problem-solving skills

Additionally, you must be available for at least 10 hours per week with the possibility of more hours as projects come in.

Compensation: We offer a very high hourly compensation rate of $44/hour on a part-time basis.

If you meet these requirements and are interested in joining our team, please apply with your resume and relevant experience. Also, please include this phrase to your cover letter in order to be considered: "I meet your criteria". We look forward to hearing from you!

Creative, strategic, and witty social media content writers are needed for agency. Client topics include venture capital, technology startups, business operations, marketing operations, finance, law, fintech, data science, and personal branding.

The right person for the job will be able to do the research necessary to understand a topic and write about it as if they are an expert.

If this sounds like you, please send social media post samples that you have written and the content topics you feel most comfortable writing about.

We are a generative AI marketing startup that is looking for a developer to help us build our platform. The ideal candidate will have experience with generative AI, natural language processing, and machine learning. They will also be able to work independently and as part of a team.

Responsibilities:

Develop and maintain our generative AI platform

Work with our marketing team to create and deploy marketing campaigns

Analyze data and optimize our campaigns

Stay up-to-date on the latest trends in generative AI

Qualifications:

Bachelor's degree in computer science or a related field

3+ years of experience with generative AI

Experience with natural language processing and machine learning

Strong programming skills in Python or R

Excellent problem-solving and analytical skills

Ability to work independently and as part of a team

We are a generative AI marketing startup that is looking for a developer to help us build our platform. The ideal candidate will have experience with generative AI, natural language processing, and machine learning. They will also be able to work independently and as part of a team.

Responsibilities:

Develop and maintain our generative AI platform

Work with our marketing team to create and deploy marketing campaigns

Analyze data and optimize our campaigns

Stay up-to-date on the latest trends in generative AI

Qualifications:

Bachelor's degree in computer science or a related field

3+ years of experience with generative AI

Experience with natural language processing and machine learning

Strong programming skills in Python or R

Excellent problem-solving and analytical skills

Ability to work independently and as part of a team

We are seeking experienced consultants capable of spearheading a team of data science engineers for the following critical initiatives:

Driver Behaviour Improvement:

Led the development of advanced data-driven solutions to enhance driver behavior, analyzing factors such as harsh acceleration, harsh braking, idling, and coasting to optimize fuel mileage. Your expertise will enable us to provide real-time advisories to drivers and foster more fuel-efficient practices.

Route Optimization:

Take charge of our route optimization efforts by leveraging data science techniques. Lead the team in developing algorithms that optimize both short and long-haul routes, providing real-time guidance to drivers for fuel savings, and ensuring efficient use of resources.

Load Prediction based on OBD Data:

Guide the team in building sophisticated models that predict vehicle load using On-Board Diagnostics (OBD) data. Your leadership will enable us to make data-driven decisions for load management, contributing to improved overall efficiency.

We are looking for individuals with a proven track record in data science and a passion for utilizing analytics to drive tangible improvements in driver behavior, route planning, and load management. As a consultant, you will play a pivotal role in shaping and implementing data-driven strategies that have a significant impact on our operations and sustainability goals.

We are seeking a dedicated professional who can wear the dual hats of Data Scientist and Data Engineer. This individual will have a specialty in the real estate industry and a keen interest in leveraging data to drive strategic decisions. Our ideal candidate is adept at implementing machine learning models, managing big data, building data infrastructure, and providing valuable business insights through data analytics.

Responsibilities:

1. Develop, implement, and evaluate advanced statistical models and approaches for application in the real estate industry.

2. Design, build, test, and maintain robust data architectures, including databases and large-scale data processing systems.

3. Manage and analyze big data, construct data models, and perform predictive and prescriptive data analyses.

4. Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions.

5. Transform complex data into a more usable state using appropriate methods.

6. Communicate complex quantitative analysis in a clear, precise, and actionable manner.

7. Ensure systems meet business requirements and industry best practices.

Qualifications:

1. Master's degree or Ph.D. in Computer Science, Statistics, Applied Math, or a related field.

2. Minimum of 5 years of experience in data science and data engineering roles, specifically in the real estate sector.

3. Proficiency in Python, R, SQL, or similar tools.

4. Experience with machine learning algorithms, statistical modeling techniques, and A/B testing.

5. Familiarity with big data tools: Hadoop, Spark, Kafka, etc.

6. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

7. Proficiency in using business intelligence tools (e.g., Tableau) and data frameworks.

8. Excellent problem-solving, communication, and presentation skills.