Freelance Data Science Engineer (Python & SQL) - Remote

Please submit your CV in English and indicate your English proficiency level. Mindrift connects experienced professionals with project-based work focused on testing, evaluating, and improving AI systems for top technology companies. This position is contract-based and not permanent. Role overview The Freelance Data Science Engineer (Python & SQL) works on a …

Please submit your CV in English and describe your English language proficiency. toloka-ai, working with Mindrift, connects experienced professionals to project-based AI work for leading technology companies. This freelance contract centers on evaluating and refining AI systems. The position is not permanent and assignments are project-based. Project Scope Each assignment brings a new data science challenge. Typical responsibilities include: Designing original data science problems that reflect real analytical workflows in sectors such as telecom, finance, government, e-commerce, and healthcare. Building problems that require Python solutions, using libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensuring tasks are computationally intensive and cannot be solved by hand in a short time. Developing complex scenarios involving data processing, statistical analysis, feature engineering, predictive modeling, and drawing insights. Creating deterministic problems with reproducible outcomes, either by avoiding randomness or setting fixed seeds. Basing problems on real business needs, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Covering the entire data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Including big data processing that requires scalable approaches. Validating solutions with Python and standard data science tools and statistical methods. Documenting each problem clearly, providing realistic business context and verified solutions. Requirements At least 5 years of hands-on data science experience with measurable business results. A portfolio of completed projects or publications showing real-world problem solving. Expertise in Python for data science (including pandas, numpy, scipy, scikit-learn, statsmodels). Deep understanding of statistical analysis and machine learning, including practical algorithms and applications. Advanced SQL skills and experience with database operations for analysis and data manipulation. Background in Generative AI technologies (such as LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment practices. Familiarity with frameworks like TensorFlow, PyTorch, or LangChain. Strong written English skills at C1 level or above. Application Process Apply Complete qualifications Join a project Perform tasks Receive payment This freelance data scientist role is remote, based in Lyon, Auvergne-Rhône-Alpes, France.

Join Toloka AI as a Freelance Data Scraping Engineer specializing in Python. In this dynamic remote role, you will be responsible for extracting and processing data from various web sources to support our innovative AI projects. Your expertise in Python and web scraping will play a crucial role in enhancing our machine learning models and ensuring data accuracy.

Join Sopra Steria as a Big Data Engineer Intern in the vibrant aerospace sector! This role is perfect for motivated individuals looking to gain hands-on experience in cutting-edge technologies such as Python, SQL, and AWS. You will be part of a dynamic team, contributing to innovative projects that shape the future of aviation.

Role overview Jobgether seeks a Senior Python Data Scraping Engineer in France for a partner company. This freelance, remote position centers on building and maintaining large-scale web data extraction systems that power both AI and human-driven workflows. The role requires a strong grasp of scalable solutions and a focus on data quality. What you will do Design and implement Python-based web scraping systems for complex, dynamic sites. Work with large datasets, delivering structured data efficiently and reliably. Adjust scraping strategies as website structures and technologies evolve. Collaborate with AI-driven agents, ensuring extracted data meets high standards for accuracy and quality. Validate and monitor collected data to support downstream AI and analytics needs. Requirements Extensive experience with Python and advanced web scraping methods. Demonstrated skill in solving complex scraping challenges, including dynamic content and large-scale extraction. Ability to work independently in a freelance, remote capacity. Strong attention to detail with a commitment to accurate, validated datasets. Flexibility to adapt to changing web environments and technical demands. Location and work arrangement This role is open to candidates based in France. The work is fully remote and freelance, requiring autonomy and advanced technical ability.

Role OverviewJoin our dynamic team at Mistral as a Data and Analytics Engineer. In this pivotal role, you will play a crucial part in designing, optimizing, and managing our data infrastructure. You will handle vast datasets, enabling our product teams to access secure and reliable data swiftly. Your expertise will be instrumental in enhancing our cutting-edge AI models and empowering business users to make data-driven decisions.Key Responsibilities• Design, construct, and maintain robust data pipelines, ETL workflows, and analytics frameworks. Implement automation for data quality assessments and validation processes.• Collaborate with cross-functional teams to identify data requirements and deliver actionable, high-quality solutions, specifically partnering with machine learning teams to facilitate model training, deployment pipelines, and feature stores.• Enhance data storage, retrieval, processing, and query performance while ensuring scalability and cost-effectiveness.• Establish and uphold data governance, metadata management, and data lineage protocols.• Safeguard data integrity, security, and compliance with prevailing industry standards.Your Profile• Master’s degree in Computer Science, Engineering, Statistics, or a related discipline.• A minimum of 3 years of experience in data engineering, analytics engineering, or a similar position.• Proficient in Python and SQL.• Familiarity with dbt.• Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Clickhouse).• Excellent analytical and problem-solving skills with a strong attention to detail.• Proven ability to communicate complex data concepts effectively to both technical and non-technical stakeholders.Preferred Qualifications• Experience with data visualization tools (e.g., Tableau, Looker) is a plus.• Familiarity with machine learning concepts and practices.

Toloka AI seeks a freelance AI Trainer with a background in civil engineering and strong Python skills. This remote contract is based in Lyon, Auvergne-Rhône-Alpes, France. Role overview This position blends technical knowledge in civil engineering and Python programming with a focus on education. Trainers guide learners in understanding how AI can address real-world engineering challenges and help expand AI skills within the field. What you will do Develop training materials centered on AI applications in civil engineering Lead sessions for those interested in AI and engineering topics Answer questions and clarify concepts for participants Work with the team to refine and broaden AI training programs

Please submit your CV in English and include your level of English proficiency.Mindrift specializes in connecting talented professionals with project-based AI opportunities for leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and not considered permanent employment.Project OverviewEach project encompasses distinct tasks, including but not limited to:Designing original computational engineering problems that replicate real-world engineering workflows;Creating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges related to system design, optimization, and analysis;Grounding problems in tangible research challenges or practical engineering applications;Verifying solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications We SeekThis opportunity is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. The preferred qualifications include:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+ proficiency);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project requirements. This estimate is not a guaranteed workload and applies solely to active project phases.CompensationContributors can earn up to $50 per hour, contingent upon their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise. Note that different projects on our platform may offer varying earning levels based on specific requirements.

We kindly request that you submit your CV in English, along with your proficiency level in the English language.Mindrift connects talented professionals with project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This engagement is project-based and does not constitute permanent employment.Key Responsibilities:Although each project presents distinct tasks, participants may:Design innovative computational engineering challenges that replicate real-world engineering workflows;Develop problems necessitating Python programming for engineering calculations and simulations;Ensure challenges are computationally intensive, requiring numerical methods or iterative solutions;Create projects involving system design, optimization, and analysis;Base challenges on real research issues or practical applications in engineering;Verify solutions using Python and established engineering libraries;Document problem statements clearly and provide verified correct solutions.Qualifications:This role is ideally suited for engineers with experience in Python who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is acceptable;A minimum of 2 years of professional experience, including applicable applied, research, or teaching experience;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or practical projects are advantageous.Process Overview:Submit application → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Project Time Commitment:For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, contingent upon project requirements. This is an estimate and not a guaranteed workload.Compensation:Contributors may earn up to $50 per hour, depending on their experience and contribution pace. Compensation varies by project based on scope, complexity, and required expertise. Please note that other projects may present different earnings based on their specific requirements.

We invite you to submit your CV in English, detailing your level of English proficiency.Mindrift is a dynamic platform that connects talented specialists with project-based AI opportunities in leading tech firms. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.Project InvolvementEach project presents unique challenges, and contributors may be engaged in tasks such as:Creating original computational physics problems that reflect authentic physics research workflows;Designing problems that necessitate Python programming to solve, utilizing libraries like Numpy, SciPy, and Sympy;Ensuring that problems are computationally intensive and cannot be resolved manually in a reasonable timeframe;Developing complex problems involving reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on genuine research challenges or practical applications derived from physics practice;Validating solutions using Python with standard physics simulation libraries;Providing clear documentation for problem statements along with verified correct answers.Ideal Candidate ProfileThis position suits optical engineers proficient in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming languages is acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;Experience with numerical simulation techniques;The ability to create problems that reflect real-world physics research workflows;Creative and analytical thinking in problem design across various physics domains;Familiarity with physics modeling and approximation strategies;Exceptional written English skills (C1+ level).Application ProcessSubmit your application → Pass required qualifications → Join a project → Complete assigned tasks → Receive compensation.Project CommitmentDuring active project phases, tasks are expected to require approximately 10–20 hours per week, contingent upon project needs. This estimation is not a guaranteed workload.Compensation DetailsContributors can earn up to $45 per hour, depending on their experience and contribution level. Please note that compensation may vary across different projects based on their specific requirements and complexity.

Join Our Innovative Team At Equativ, we are dedicated to revolutionizing advertising technology to help our clients achieve their digital business objectives. Our platform is engineered to handle over 3 million requests per second, translating to more than 250 billion requests daily. We pride ourselves on our infrastructure, which operates on 3,000 servers with an impressive response time of under 250 milliseconds. Our innovation hub, located in Paris, Nantes, Bordeaux, Limoges, Krakow, and Berlin, is home to over 150 dedicated and dynamic engineers, all committed to solving complex technical challenges in an Agile environment.

As a Python Data Scientist Developer, you will play a pivotal role in enhancing our Python platform. Your core responsibilities will include:Development and Programming: Contribute to the evolution of the architecture, develop new modules and libraries, and maintain existing software.Performance Improvement: Engage in continuous performance optimization, including prompt engineering and the development of AI processing chains.Deployment Pipelines: Master deployment pipelines to ensure seamless integration.Code Reviews: Play an active role in code reviews, fostering a culture of quality and collaboration.Collaboration: Work closely with business teams and analysts to translate business needs into innovative technical solutions.Project Leadership: Independently manage technical project oversight.Research and Innovation: Stay updated with the latest advancements in generative AI and propose innovative ideas for projects and enhancements.Documentation: Create clear and comprehensive technical documentation.

Toloka AI is looking for a freelance specialist with a strong background in biology and hands-on experience with Python programming. This position centers on supporting the development and improvement of AI models that address challenges in biological research and applications. As an AI Trainer, you will apply your subject matter knowledge to help shape advanced tools for the life sciences. The work is fully remote, connecting you with a team committed to innovation in artificial intelligence. Role overview Contribute biological expertise to projects involving AI and Python. Help refine and improve AI models for use in biological contexts. Collaborate remotely with colleagues focused on AI advancements. Requirements Strong knowledge of biology. Experience programming in Python. Interest in artificial intelligence and its applications in biology. Ability to work independently in a remote setting.

Alten offers an internship in Sèvres for students interested in data science engineering or cognitive science. This position provides practical experience on real-world projects, with guidance from seasoned professionals in the field. What you will work on Support projects that involve machine learning and artificial intelligence. Use cognitive science approaches to address technical problems. Work closely with a team of specialists on analytical assignments. Who succeeds in this role Shows a clear interest in data science, machine learning, or cognitive science. Brings a strong analytical approach to problem-solving. Is motivated to learn and contribute to new solutions. The internship takes place on site in Sèvres.

Join our dynamic Data Science team at Datadog, where we architect and implement cutting-edge algorithm-driven features within the Datadog application. Our focus spans a variety of applications, primarily emphasizing the analysis of streaming data, including anomaly detection, error outliers, and faulty deployment analysis. As a Senior Software Engineer on our team, you'll play a pivotal role in designing, constructing, and scaling the backend systems that power our expanding suite of Watchdog products. Your work will involve large-scale distributed systems, horizontally-scalable datastores, and various data-processing frameworks to enhance our next-generation Data Science platform and capabilities at Datadog.At Datadog, we cherish our office culture, valuing the relationships we build, the creativity we foster, and the collaborative spirit that thrives within our hybrid workplace, allowing employees to achieve a balanced work-life harmony.

Join fifty-five, an innovative data company that empowers brands to leverage data for enhanced marketing, media, and customer experience through a unique blend of consulting and specialized technology services.As a vital part of the Brandtech Group’s data and marketing team, we provide services that merge strategic consulting, cloud solutions, media consulting, and customer experience enhancement.At fifty-five, over 400 digital experts—including consultants, tracking specialists, media professionals, engineers, and data scientists—collaborate closely to deliver high-level marketing insights and technical support to brands across various industries worldwide.We partner with advertisers from data collection through to activation and utilization, helping organizations evolve into true omnichannel entities that effectively manage their digital ecosystems and its synergies with the physical world.Headquartered in Paris, we operate across three time zones from our 10 offices located in Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore, and New York. fifty-five places a high value on employee well-being, which earned us a spot in the Best Workplaces France ranking in 2018.Context:The engineering team develops and implements technical solutions for data pipelines and data platforms for our clients. This includes data retrieval from multiple sources (APIs, files, etc.), data cleaning, data processing, automation, and comprehensive monitoring. The team utilizes cutting-edge technologies (Docker, Terraform, notebooks, GenAI agents, etc.) and deploys projects on various cloud platforms (GCP, Azure, AWS...).The primary goal of this role is to reinforce the data infrastructure through optimal utilization of Snowflake. The main focus will be on establishing a solid technical foundation: implementing governance, structuring accounts, and applying Snowflake best practices. A secondary focus is on designing and implementing Data Clean Rooms on Snowflake, which are essential for secure and confidential data sharing with partners. This expertise is crucial for our data-driven innovation and collaboration strategy.

Toloka AI is looking for a Computer Science Specialist with advanced Python skills to join AI projects on the Mindrift platform. This role is remote and based in Lyon, Auvergne-Rhône-Alpes, France. Key responsibilities Design and maintain complex algorithms that drive artificial intelligence projects Collaborate with a team focused on creative approaches to technical challenges Use Python expertise to move project objectives forward and support technical standards Requirements Solid foundation in computer science and strong Python programming skills Interest in artificial intelligence and developing algorithms Willingness to share ideas and maintain high standards for technical quality

We invite you to submit your CV in English, along with your level of English proficiency.Mindrift is a platform that connects experts with project-based AI opportunities for leading technology companies, specifically in the realm of testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.Project Overview:Contributors will engage in unique tasks, which may include:Designing innovative computational physics problems that reflect authentic physics research workflows;Creating problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally demanding and cannot be solved manually in a reasonable timeframe (days/weeks);Formulating problems that require complex reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Developing problems based on genuine research challenges or practical applications in the field of physics;Validating solutions through Python and standard physics simulation libraries;Providing clear documentation of problem statements and ensuring that correct answers are verified.Desired Qualifications:This position suits quantum researchers experienced in Python who are open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Experience with numerical simulation methods;The capability to design problems that replicate real-world physics research workflows;Creative problem-solving skills across various physics disciplines;Familiarity with physics modeling and approximation techniques;Strong written English proficiency (C1 or higher).Application Process:Apply → Complete qualification(s) → Join a project → Execute tasks → Receive payment.Project Commitment:During active project phases, contributors should expect to dedicate approximately 10–20 hours per week, depending on specific project requirements. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $45 per hour, contingent on their level of expertise and contribution pace. Please note that compensation may vary across different projects based on their scope, complexity, and required expertise.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based remote opportunities for professionals in Lyon, Auvergne-Rhône-Alpes, France, and beyond. These freelance roles focus on testing, evaluating, and improving AI systems for leading tech companies. Participation is on a per-project basis and does not constitute permanent employment. Role overview Freelance AI Trainers specializing in Chemistry and Python contribute to a range of unique projects. Tasks vary by project and may include: Developing original computational chemistry problems that reflect real-world research workflows. Designing problems that require Python programming to solve, using libraries such as NumPy, SciPy, and chemistry-specific packages. Ensuring problems are computationally intensive and not solvable by hand within a reasonable timeframe. Creating tasks that involve complex reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling. Basing problem statements on real research questions or practical chemistry scenarios. Validating solutions with Python, following standard computational chemistry techniques. Documenting problem statements clearly and providing verified, correct solutions. Requirements Degree in Chemistry or a related field. Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or similar programming languages is also accepted. Minimum of 2 years of professional experience in application, research, or teaching. Familiarity with numerical methods in chemistry. Understanding of computational chemistry concepts and methodologies. Excellent written English skills at C1 level or above. How projects work The process is straightforward: apply, pass qualifications, join a project, complete assigned tasks, and receive compensation. Time expectations During active project phases, contributors typically commit 10–20 hours per week. Actual workload depends on project needs and is not guaranteed outside active periods. Compensation Earnings can reach up to $45 per hour, depending on expertise and pace. Compensation varies by project scope, complexity, and required skills.

We kindly request that you submit your CV in English, along with your proficiency level in the language.Mindrift is a dynamic platform that bridges talented specialists with project-oriented AI opportunities at leading technology firms, emphasizing the evaluation and enhancement of AI systems. Please note that participation is project-based and does not lead to permanent employment.Role Overview:Your contributions will involve various tasks tailored to each project, including:Designing innovative material engineering challenges that reflect true engineering workflows;Developing problems that necessitate Python programming for engineering simulations and calculations;Creating computationally intensive problems that require numerical methods or iterative solutions;Formulating challenges involving system design, optimization, and analysis;Aligning problems with real-world research issues or practical engineering applications;Validating solutions through Python using established engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications:This opportunity suits material scientists and engineers proficient in Python, open to engaging in part-time, non-permanent projects. Ideally, candidates will possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is acceptable;A minimum of 2 years of professional experience, which can include applied, research, or teaching roles;A solid understanding of practical engineering limitations and approximations;Exceptional written English skills (C1+).How the Process Works:Apply → Successfully pass qualifications → Join a project → Complete assigned tasks → Receive paymentProject Expectations:For this role, tasks are anticipated to require approximately 10–20 hours per week during active phases, contingent on project demands. This is an estimation and not a guaranteed workload while the project is ongoing.Compensation:Contributors can earn up to $45 per hour, based on their contribution level and pace. Compensation may vary across projects depending on the scope, complexity, and required expertise. Please be aware that different projects on the platform may offer varying compensation rates based on their specific requirements.