Top Data Science Jobs

Seeking Loan Portfolio Analyst and Dashboard Developer, who will be responsible for evaluating our loan portfolio's performance and creating a dynamic and user-friendly dashboard using the Periscope web app.

Key Responsibilities:

Loan Portfolio Analysis:

Perform in-depth analysis of our loan portfolio, including historical performance, default rates, and other key metrics.

Identify trends and potential areas for improvement in loan origination, underwriting, and servicing.

Data Collection and Management:

Gather, clean, and maintain data from various sources, including internal databases and external data providers.

Ensure data accuracy and completeness for reliable analysis.

Dashboard Development:

Develop a user-friendly, interactive dashboard on the Periscope web app to visualize loan portfolio performance.

Customize the dashboard to display key performance indicators and metrics in a visually appealing manner.

Implement drill-down and filtering options for dynamic data exploration.

Data Visualization:

Create compelling data visualizations, including charts, graphs, and tables, to effectively communicate loan portfolio insights.

Ensure the dashboard is accessible and understandable for non-technical stakeholders.

Reporting and Documentation:

Generate regular reports and presentations summarizing findings and recommendations.

Document the data analysis process and dashboard design for reference and knowledge sharing.

Collaboration:

Collaborate with cross-functional teams, including the credit, risk management, and IT departments, to align data analysis with business objectives.

Qualifications:

Bachelor's degree in a related field, such as Data Science, Computer Science, or Finance.

Proven experience in data analysis, particularly related to financial data and loan portfolios.

Proficiency in data visualization tools, with expertise in Periscope or similar web-based dashboard development platforms.

Strong programming skills in languages like SQL, Python, or R.

Knowledge of database management and data integration.

Excellent communication and presentation skills.

Ability to work independently and as part of a team.

Attention to detail and a commitment to data accuracy.

We are looking for a highly skilled freelancer with expertise in API integration and real-time data retrieval to help us connect with a data provider for downloading real-time information on all publicly traded stocks. This role is critical for our ongoing projects in predictive modeling and financial analytics.

Responsibilities:

Evaluate and select an appropriate data provider offering real-time stock data via API.

Implement API connections to download real-time data on all publicly traded stocks.

Ensure data integrity, quality, and latency meet project requirements.

Collaborate with our data science team to integrate the data into our existing infrastructure, likely built on AWS or GCP.

Provide documentation and code comments for maintainability and future scalability.

Skills Required:

Proficient in Python, with experience in libraries such as Requests or FastAPI for API integration.

Strong understanding of RESTful APIs and WebSockets for real-time data retrieval.

Familiarity with financial market data and trading concepts.

Experience with cloud platforms like AWS or GCP.

Strong problem-solving skills and attention to detail.

Nice-to-Have:

Experience with time-series databases like InfluxDB or TimescaleDB.

Familiarity with data science libraries like Pandas and NumPy.

Previous work on financial data projects or trading platforms.

Deliverables:

A fully functional API connection to a selected data provider, capable of downloading real-time data on all publicly traded stocks.

Well-documented code hosted on a GitHub repository.

A brief report summarizing the implementation, challenges faced, and recommendations for future improvements.

Compensation:

Competitive hourly rate or fixed project fee, negotiable based on experience and skill set.

How to Apply:

Please submit your proposal outlining your relevant experience, along with code samples or GitHub repositories showcasing your expertise in API integration and real-time data retrieval. Proposals that include a brief plan of action for the project will be given priority.

Given your interest in predictive modeling and the application of transformer models in finance, this project could be an exciting opportunity to gather real-time data for your research and models. Feel free to reach out if you have any questions or need further clarifications.

Looking for an agency with specialization in data science and Machine Learning.

We have public data and public ML models. We need to:

- Analyze and understand the public data

- Analyze and understand the public code that is already written to train an ML model (on the public data)

- Tweak the code to:

○ Continue training on additional data that we have

○ Have additional parameters as input

○ Be used in production

Hiring Rules:

- More details will be provided when shortlisted

- You will need to provide a breakdown and time estimate based on the given details

- Milestone-based contract will be used upon hiring

We are seeking the hands-on and dedicated support of a very experienced Geospatial Data Scientist who is familiar with satellite image analytics platforms plus computer vision, especially Planet.com or other free platforms like Google Earth to address some of the issues mentioned below:

1.Satellite image time series - dynamic analysis of the way a community has evolved over time- through a usable, interactive and engaging interface ). E.g https://hal.science/hal-01931475/file/pub00059028.pdf and https://www.sciencedirect.com/science/article/abs/pii/S0303243418304781

2. Simplified geospatial data and insight visualisation on Google Map e.g., crime reporting in a location. Example at https://www.essex.police.uk/area/your-area/essex/colchester/colchester-town-east/social-media/crime-map

3. Understanding patterns of degradation and vegetative evolution at settlement levels using satellite images and basic computer vision algorithms.

4. Automated individual human dwelling detection/ extraction based on object morphology, template matching, and machine learning. Example at https://www.blog-datalab.com/home/detecting-human-settlements-from-satellite-images-using-computer-vision/

5. Geo-informed social risk indicators e.g. Flooding – Example at https://www.unglobalpulse.org/microsite/pulsesatellite/

6. Ability to generate automated individual dwelling extraction based on object morphology, template matching and machine learning.

7. Ability to overlay satellite images with pre-labelled coordinate-based point of interest and mobility datasets for richer insight.

Looking for someone to help tutor me (live, one on one) in Python forecasting. Preference to use Prophet, XGBoost, Keras, Tensorflow, but open to all libaries.

Key skills:

1. Excellent pandas knowledge

2. Data science skill especially in forecasting and trend analysis

3. Experience with some of the libraries listed above

4. Happy to teach

Xpanse Data is a startup that builds data science tools for investors. We are looking for individuals with experience building forecasting models, particularly for time-series datasets. We are seeking a long-term partnership, and successful collaboration on this project could lead to more projects in the future. Please note that the developed model will be our company's Intellectual Property and cannot be shared publicly.

This project entails developing a Python script to predict quarterly revenue growth for a variety of stocks using a dataset compiled from the FRED database. You'll receive a pre-configured Jupyter Notebook to load all the necessary data for this project. We are setting a time cap for this project at 8 hours.

Applicants should have 3+ years of experience building ML models in python. Applicants should expect to do a virtual interview.

Position Summary:

As a Property Researcher specializing in finding owner contact information, your primary responsibility will be to gather accurate and up-to-date contact details for property owners. This critical role is essential for real estate agencies, property management companies, and various stakeholders in the real estate industry. You will be responsible for conducting thorough research to identify and verify property ownership information, facilitating communication between property owners and relevant parties.

Key Responsibilities:

Research and Identify Ownership Information:

Utilize various online databases, public records, and proprietary resources to identify property owners and their contact information.

Investigate and cross-reference data to ensure accuracy and reliability.

Contact Verification:

Contact property owners via phone calls, emails, or postal mail to verify and update their contact details.

Maintain clear and respectful communication with property owners while adhering to legal and ethical guidelines.

Data Compilation and Reporting:

Organize and maintain a comprehensive database of property owner contact information.

Generate reports detailing the results of contact verification efforts.

Document and Record Keeping:

Maintain accurate records of all research findings, conversations with property owners, and any data updates.

Collaboration:

Collaborate with colleagues and real estate professionals to provide the necessary contact information for various purposes, such as property management, marketing, or sales.

Compliance and Ethical Standards:

Ensure compliance with all relevant laws and regulations related to privacy and data protection.

Handle property owner information with confidentiality and integrity.

Qualifications:

Bachelor's degree in a relevant field, such as real estate, data science, or information management, is preferred.

Prior experience in property research, real estate, or related fields is advantageous but not mandatory.

Strong research and investigative skills.

Excellent communication skills for interacting with property owners.

Attention to detail and accuracy in data collection and reporting.

Proficiency in using online databases, public records, and data verification tools.

Knowledge of real estate terminology and property ownership documentation.

Familiarity with legal and ethical considerations related to data privacy and contact verification.

This job description provides a general overview of the responsibilities and qualifications for a Property Researcher specializing in finding owner contact information. The specific duties may vary depending on the employer and the scope of the job.

We are looking for a skilled animator to assist in creating captivating animations to visualize our science research project. The animations should effectively communicate complex scientific concepts and findings in a visually appealing and engaging manner. The main objective is to enhance the understanding and impact of the research among a wide audience. The ideal candidate should have experience in science or educational animations and possess strong creative and technical skills in animation software. Key skills include:

- Proficiency in animation software (e.g., Adobe After Effects, Maya, Blender)

- Strong understanding of scientific concepts

- Ability to create visually appealing and engaging animations

- Attention to detail and ability to accurately represent scientific data

**Objective:**

The AI Knowledge Engineer is responsible for designing, building, and optimizing the knowledge base and algorithms that power artificial intelligence systems. This role plays a crucial part in shaping AI's ability to understand, reason, and interact with data and users effectively.

**Responsibilities:**

1. **Knowledge Acquisition and Structuring:**

- Collaborate with domain experts to collect and structure domain-specific knowledge.

- Develop ontologies and knowledge graphs to represent knowledge hierarchies and relationships.

2. **Data Collection and Annotation:**

- Curate and preprocess data for training AI models, including text, images, and other data types.

- Annotate data to create labeled datasets for machine learning.

3. **Algorithm Development:**

- Design and implement AI algorithms and models for tasks such as natural language processing, image recognition, and data analysis.

- Choose appropriate machine learning or deep learning techniques.

4. **Knowledge Representation and Integration:**

- Develop representations for AI to understand and reason about structured and unstructured data.

- Integrate knowledge representations with AI models.

5. **Natural Language Processing (NLP):**

- Apply NLP techniques to extract insights and meaning from textual data.

- Develop conversational agents, chatbots, or question-answering systems.

6. **Knowledge Base Development:**

- Build and maintain knowledge bases that AI systems can access for information.

- Implement structured data storage and retrieval mechanisms.

7. **AI Training and Testing:**

- Train AI models using labeled datasets and fine-tune models for specific tasks.

- Test and evaluate AI system performance and address any issues or inaccuracies.

8. **Collaboration with AI Developers:**

- Collaborate with AI developers and data scientists to integrate knowledge into AI applications.

- Assist in the deployment and testing of AI solutions.

9. **Knowledge Maintenance:**

- Regularly update and expand knowledge bases to ensure data accuracy and relevance.

- Identify and address knowledge gaps and inconsistencies.

10. **Ethical AI and Bias Mitigation:**

- Ensure AI systems adhere to ethical guidelines and address bias in data and algorithms.

- Implement fairness and transparency in AI decision-making.

**Qualifications:**

- Bachelor's or Master's degree in computer science, artificial intelligence, or a related field.

- Proven experience in AI knowledge engineering, natural language processing, and machine learning.

- Proficiency in AI development tools, frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python).

- Strong problem-solving and analytical skills.

**Reporting:**

The AI Knowledge Engineer may report to an AI Development Manager, Chief AI Officer, or relevant department head and collaborate closely with AI development teams.

**Duration:**

This scope of work outlines the ongoing responsibilities of the AI Knowledge Engineer as a key role within the AI development practice.

**Evaluation:**

Performance will be evaluated based on the successful structuring and management of knowledge for AI systems, improvements in AI system accuracy and performance, and contributions to ethical and unbiased AI development.

Job Description:

Are you a talented writer with a strong command of the German language? Does your background match with any of the following fields? If so, we have an exciting opportunity for you! These will be used to train and fine-tune our language models, ensuring they provide accurate and high-quality responses across different domains.

- Law

- Automotive Engineering

- ESG Reporting

- Accounting

- Data Science

- Creative Writing

Job Overview:

We are seeking proficient LLM (Large Language Model) prompt and response writers to create engaging and informative prompts and responses for a variety of topics and fields.

1. Work on various writing projects to train generative AI models, through generating prompts and responses for various projects based on the instructions and guidelines.

2. Generate similar questions and responses to improve the AI's understanding of the German language.

3. Complete a ranking for a series of responses to improve the model performance.

Qualifications:

- A bachelor's degree in German Language and Linguistics and Communication or similar programs.

- Exceptional proficiency in written German.

- Strong understanding of the fundamentals of the German language, including grammar, syntax, semantics, and pragmatics.

- Strong online research skills.

- Attention to detail, accuracy, and a commitment to delivering high-quality work.

- Ability to work independently and as part of a team to meet the commitments of the project.

- Language Proficiency Level:

- Must be fluent in German Language (C1 - C2)

- Advanced English (B2 - C1)

How to Apply:

If you are interested in this exciting opportunity, please apply immediately.

In the application, please specify your areas of expertise, and briefly describe your relevant experience. Additionally, be prepared to submit a sample prompt related to your chosen field.

We look forward to receiving your application and potentially welcoming you to our team of skilled LLM prompt writers!

We are seeking a highly motivated and independent Research Assistant with expertise in digital marketing and qualitative research to contribute to a research project. The ideal candidate should be capable of taking ownership of the research process upto journal article writing. This role will require exceptional attention to detail, a strong command of the English language, and a commitment to on-time submissions. Failure to meet these expectations may result in the immediate termination of the contract.

Key Responsibilities:

1.Research Questions:

Collaborate with the research team to refine and develop research questions based on the project's objectives.

Independently propose and articulate research questions to contribute to the project's conceptualization.

2.Literature Review:

Conduct an extensive literature review related to digital marketing and qualitative research, identifying gaps and trends in the field.

Summarize and synthesize existing research to inform the project's theoretical framework.

3.Data Collection:

Design and execute data collection methods, including surveys, interviews, or content analysis, depending on the project's requirements.

Ensure data collection is conducted ethically and in compliance with relevant guidelines and regulations.

4.Data Analysis and Interpretation:

Employ qualitative research methodologies to analyze collected data, identifying patterns, themes, and insights.

Independently interpret findings and provide meaningful insights to contribute to the project's objectives.

5.Journal Article Writing:

Draft, revise, and finalize journal articles for publication, adhering to the standards and guidelines of academic journals.

Collaborate with the research team to ensure the article aligns with the project's objectives and research findings.

Qualifications:

A bachelor's degree in a relevant field (e.g., marketing, communication, social sciences) is required. A master's degree is preferred.

Proven experience in qualitative research methods, including data collection and analysis.

Sound knowledge of digital marketing concepts and practices.

Exceptional written and verbal communication skills in English.

Demonstrated ability to work independently, meet deadlines, and manage tasks efficiently.

Strong attention to detail and the ability to maintain accurate records.

Proficiency in using research software and tools (e.g., NVivo, EndNote) is a plus.

Ethical conduct in research and adherence to all relevant research regulations and standards.

We are seeking a talented and experienced Remote Lead AI Data Scientist to join our team on a full-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.

Why this is an amazing opportunity:

- Opportunity to grow. Joining our team offers the opportunity to be part of a rapidly growing business department. With a total of 15 employees, we have established a dynamic and thriving work environment. Moreover, our experience of successfully running this business model for over 6 years ensures stability and a proven track record of success.

- Freedom. The position is fully remote (work from home, a co-working space, a café, etc.).

- Autonomy. As long as you’re executing our processes properly, you won’t be micromanaged.

- Fairness. We value open communication, directness, and transparency. We want the collaboration with our full-time freelancers to be a win-win for both sides.

- Passion and purpose. Work with a passionate team that really cares about doing quality work and helping clients to make their businesses grow.

- Quality. We place a big emphasis on providing high-quality service and actually getting people results. Before taking on new clients, we set realistic expectations and make sure that they understand the relationship they’re going into.

- A winning culture. We focus on sustainable, optimal growth instead of just growing as fast as possible.

- You will face a rational, honest, and friendly culture with a high focus on achievement. This is not for everyone. We’ve found that a lot of people do not like direct feedback about improvement areas or to have pressure to achieve specific things. However, some people understand the long-term benefits of this and value it accordingly.

- We want you to perform your best and will be completely transparent with all information.

- Competitive salary (depending on your level of experience).

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

- This is a full-time job opportunity with 40 hours/week workload

- Compensation: We offer a very high compensation based on your experience

We are searching for an experience Upwork freelancer with many jobs completed to coach and mentor me how to be more successful on Upwork.

Job Title: Research Assistant

Company: Cultural Connections by Design, LLC

Location: Virtual

Cultural Connections by Design (CCBD) is a dynamic and innovative diversity, equity, and inclusion (DEI) consulting company dedicated to fostering inclusive environments for colleges and universities of all sizes. We provide customized solutions to help our clients embrace diversity, promote equity, and create inclusive workplaces where every individual can thrive through a variety of research and assessment services. We are looking for a passionate Research Assistant to join our team and contribute to our mission of driving positive change in higher education.

Job Description:

We are seeking a Research Assistant who is enthusiastic about promoting diversity, equity, and inclusion within colleges and universities. The ideal candidate will assist our team in conducting research, collecting data, and analyzing information to support our consulting initiatives. This is a great opportunity for someone who is committed to making a difference in the world of DEI and wants to contribute to meaningful transformative projects.

Responsibilities:

•Assist in the design and implementation of research projects related to diversity, equity, and inclusion.

• Collect and analyze data from various sources, including surveys, interviews, and literature reviews.

• Collaborate with the team to develop reports, presentations, and recommendations based on research findings.

• Stay up to date with relevant DEI trends, best practices, and academic literature.

• Support the creation of educational materials and resources for our clients.

• Assist in the development and delivery of training programs and workshops.

• Perform administrative tasks related to research projects, such as organizing data, maintaining databases, and scheduling meetings.

Qualifications:

• Bachelor's degree in a related field (e.g., sociology, psychology, diversity studies, social sciences).

• Strong passion for diversity, equity, and inclusion issues.

• Excellent research (QUANT and QUAL) and analytical skills.

• Proficiency in data collection and analysis tools.

• Effective communication skills, both written and verbal.

• Ability to work independently and as part of a team.

• Attention to detail and strong organizational skills.

• Familiarity with DEI concepts and trends is a plus.

Why CCBD?

• Opportunity to work on impactful projects that contribute to positive change.

• Collaborative and inclusive work environment.

• Professional development and growth opportunities.

If you are passionate about diversity, equity, and inclusion and want to be part of a dedicated team committed to making a difference, we encourage you to apply for the Research Assistant position at Cultural Connections by Design. Join us in creating a more inclusive world.

Cultural Connections by Design is an equal opportunity employer. We welcome and encourage applications from candidates of all backgrounds and experiences. We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected.

I am looking to fing best small size data science, engineering consultancies in India that can partner with my uk company.

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!

Eu tenho planilha com a base de dados que já foi tratada limpa no caso são palavras chaves e termo de busca do próprio Google são dados confiáveis consigo treinar um modelo que ele possa me recomenda mais termos com base nos que já estão na planilha, ela contém o padrão de busca , volume de pesquisa, quantidade e cpc queria usar esses dados junto com data science pra ajudar no meu mercado que e marketing

Job Description:

We are seeking a highly skilled and experienced AI developer to join our team and lead the development of a cutting-edge platform. The platform will focus on extracting information from documents and automating proposal writing processes. As the ideal candidate, you should possess a strong background in AI Content Creation, Image Analysis, AI-Generated Code, Artificial Intelligence, Data Scraping, and Machine Learning.

This is a project-based position with an estimated duration of 3 to 6 months. As the selected candidate, you will be responsible for designing and implementing the platform, ensuring its efficiency, accuracy, and scalability. You will collaborate closely with cross-functional teams to gather requirements, understand business needs, and deliver solutions that align with our objectives.

Key Responsibilities:

- Develop and implement a robust platform for document information extraction and proposal automation.

- Utilize AI techniques, including machine learning and data scraping, to extract relevant information from various types of documents.

- Design and implement algorithms for proposal generation, leveraging AI content creation and AI-generated code.

- Collaborate with stakeholders to understand requirements and translate them into technical specifications.

- Ensure the platform's performance, scalability, and security through rigorous testing and optimization.

- Stay up to date with the latest advancements in AI technologies, identifying opportunities to enhance the platform's capabilities.

- Document the development process, including architecture, algorithms, and technical specifications.

Qualifications:

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

- Proven experience in developing AI-powered applications, specifically in the areas of content creation, image analysis, data scraping, and machine learning.

- Proficiency in programming languages such as Python, Java, or C++.

- Strong knowledge of AI frameworks and libraries, including TensorFlow, PyTorch, or Keras.

- Familiarity with data processing and analysis techniques, including natural language processing and computer vision.

- Excellent problem-solving skills and the ability to work independently or collaboratively in a team environment.

- Strong communication skills with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

To apply:

If you are excited about pushing the boundaries of AI development and have the required skills and experience, please submit a detailed proposal outlining your relevant experience and how you can contribute to this project. Additionally, provide links to past completed projects that showcase your expertise in AI and machine learning.

We are eagerly awaiting your proposal and look forward to collaborating with you on this exciting project.

Overview

We are building an AI chatbot focused on assisting users in finding restaurants based on specific dietary needs. Your role is specifically focused on the data aspect: obtaining, cleaning, normalizing, and classifying restaurant information, menus, and reviews from multiple sources.

/UPDATE

Please reach out if you have strong expertise in these areas and the project sounds straightforward. Please answer the three screening questions and do not send us ChatGPT, or recycled cover letters. We immediately decline those. Thank you 🙏🏻

/Data Collection

Scraping: Use Python libraries like BeautifulSoup or Scrapy for web scraping for restaurant information, menus, and reviews (Open to any other solution for obtaining the data needed)

Normalization: Normalize restaurant names, addresses, and other meta-data.

/Data Cleansing

De-duplication: Implement a de-duplication algorithm to identify and merge duplicates.

Menu Item Unification: Standardize dish names using fuzzy matching algorithms to group similarly named dishes.

/Ingredient Identification

NLP for Ingredient Extraction: Use Named Entity Recognition (NER) to extract ingredient names. Training might be needed if pre-existing models are not sufficient.

Fallback to a Keyword Database: When descriptions are missing or insufficient, use a keyword-based system to identify potential ingredients.

/Categorization

Develop a hybrid model for categorizing menu items into Starters, Mains, and Desserts.

Implement a weighted scoring system for each category.

- Keyword-based identification for speed.

- Rule-based methods for contextual cues.

- NLP-based categorization for complex descriptions.

/Recommendation Engine

Content-Based Filtering: Use menu details, categories, and other meta-data to make content-based recommendations.

Speed Optimization: For low latency, pre-compute as many features as possible and use caching mechanisms like Redis.

/Performance Monitoring

Dashboard: Implement a real-time dashboard for monitoring system performance metrics like speed, accuracy, etc.

User Feedback Integration: Allow for real-time user feedback to manually correct inaccuracies, which can be used to train our models further.

/Technologies/Skills

- Python

- Web scraping (BeautifulSoup, Scrapy)

- Data Science and Machine Learning (Scikit-learn, TensorFlow)

- Natural Language Processing (spaCy, NLTK)

- Fuzzy matching algorithms

- Named Entity Recognition (NER)

- Database Management (PostgreSQL)

- Caching Mechanisms (Redis)

Cloud Computing (AWS Lambda)

We will prioritize the use of pre-existing or ready-made solutions where applicable to expedite the project timeline and control costs.

/Timeline

2-4 weeks — Available to start by Oct 16

/Budget

We have some flexibility depending on experience, location, and proposed timeline.

I want to be tutored or mentored on how to pick up data science skills using Kaggle.

- coach me on how to learn

- show me how Kaggle works, how a sample project is done, how competitions are done

- coach me also on how to host a community competition

- finally coach me how to keep learning and doing and climbing the leaderboard on Kaggle

We are looking for someone that would be able to consult us on the best way to gather data for a complex mobile app. The business is in the creation stage, putting the complex idea behind a design. Our next step is to be able to make the idea into a reality. However, we need expertise on how to do this and full guidance on how to find the data for our idea, as well as what API to use, and database to host it in.

We have someone that can build the database but isn't able to consult. The ideal candidate would be able to consult and direct us on recommendations to gather data based on their expertise. If so, an NDA would need to be signed before sharing the content we need consultation on.

We are looking for either data scientist with knowledge of data engineering or a data engineer with knowledge of data science. If we have time within the scope, we could also discuss how to clean the data.

Company Overview: Purecontent] is at the forefront of innovative AI solutions. We're pioneering an AI-driven content generation system that crafts high-quality content based on customer data, and we're looking for a talented developer to join our team. If you're passionate about the intersection of AI, content, and data, and you're eager to make a significant impact in a fast-growing field, we'd love to hear from you!

Position Overview: As an AI Developer for our Content Generation System, you'll be responsible for developing, training, and optimizing models that produce high-quality content from customer data. You will work closely with data scientists, machine learning experts, and content strategists to ensure our AI-driven content meets the highest standards of accuracy, relevance, and readability.

Key Responsibilities:

Design, implement, and train machine learning models, particularly in natural language processing (NLP) and generation (NLG).

Collaborate with data scientists to preprocess, clean, and analyze vast amounts of customer data.

Develop APIs and integrate AI models with our existing platforms and systems.

Conduct A/B tests and continually refine the model to improve content quality and accuracy.

Stay updated with the latest AI and NLP trends and research, implementing best practices and innovative solutions.

Required Skills & Qualifications:

Programming: Proficiency in Python and familiarity with its machine learning libraries like TensorFlow, PyTorch, and scikit-learn.

Deep Learning and NLP: Strong understanding of deep learning architectures like RNNs, LSTMs, Transformers, BERT, GPT, etc., and experience with natural language processing and generation.

Data Manipulation: Proficiency with data manipulation libraries like Pandas and NumPy.

Database Knowledge: Experience with SQL and NoSQL databases.

API Development: Familiarity with building and integrating APIs using frameworks like Flask, FastAPI, or Django.

Version Control: Experience with version control systems like Git.

Cloud Platforms: Hands-on experience with cloud platforms like AWS, GCP, or Azure, particularly with services related to AI and ML deployment.

Continuous Integration and Continuous Deployment (CI/CD): Experience with CI/CD tools like Jenkins, Travis CI, or CircleCI.

Preferred (but not mandatory) Qualifications:

Advanced degree in Computer Science, Machine Learning, AI, or a related field.

Previous experience in content generation or AI-driven content platforms.

Familiarity with advanced NLP techniques such as attention mechanisms, transfer learning, and zero-shot learning.

Knowledge of data privacy regulations and best practices for handling customer data.

What We Offer:

Opportunity to work on cutting-edge AI solutions

Collaborative and innovative work environment

Continuous learning and growth opportunities

To apply, please submit your resume, a cover letter detailing your relevant experience, and any project portfolios or GitHub repositories that showcase your work.

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!

The project aim to develop a payment scoring module, the module is a component that is integrated to a large system consists of multiple modules to provide an end to end solution for a certain use case.

The scoring module intended, will be based on an uploaded data of the accounts receivable records for the whole sellers.

The scoring must analyze those accounts receivable, segment & classify sub merchants, and provide a scoring for each sub merchant based on their payment history and risk and create a credit allowance profile.

In addition, the scoring must monitor the behavior of the sub merchant and modify the scoring profile accordingly.

For the above, we need a skill set that can;

1- design, develop, and tune a mathematical and machine learning model that will be implemented by the development team.

2- testing and development during system UAT.