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Experience Level
Experience
Qualifications
We are looking for candidates with:Proficiency in Python and Spark. Experience with data modeling, ETL processes, and data warehousing. Strong understanding of database technologies such as SQL and NoSQL. Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. Excellent problem-solving skills and a passion for data.
About the job
Take-Two Interactive Software, Inc. is looking for a Data Engineer with hands-on experience in Python and Spark. This position is based in Toronto, Ontario, and centers on building and improving data pipelines that support business analytics and decision-making.
Key responsibilities
Design and develop scalable data pipelines using Python and Spark
Optimize data workflows to improve efficiency and reliability
Work closely with teams across the company to transform raw data into actionable insights
Contribute to data-driven projects and help support informed decision-making across the organization
Location
This role is based in Toronto, Ontario, Canada.
About Take-Two Interactive Software, Inc.
Take-Two Interactive is a global leader in the interactive entertainment industry, known for delivering innovative and engaging gaming experiences. With a diverse portfolio of critically acclaimed titles, we are committed to pushing the boundaries of creativity and technology.
Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based assignments that help advance AI systems for major technology companies. This freelance position is project-based and not a permanent role. Role overview The Freelance Data Science Engineer works on complex projects in s…
Please submit your CV in English and specify your English proficiency level.At Mindrift, we bridge the gap between talented specialists and exciting project-based AI opportunities with leading technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Note: Participation is project-based and not a permanent employment position.Role OverviewAs a freelance Data Science Engineer, you will tackle a variety of unique projects. Your responsibilities may include:Designing original computational data science challenges that replicate real-world analytical processes across various sectors such as telecommunications, finance, government, e-commerce, and healthcare.Formulating problems that necessitate Python programming for resolution, utilizing libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensuring tasks are computationally demanding, with solutions that cannot be feasibly achieved manually within a short timeframe (days/weeks).Creating problems that involve complex reasoning chains in data manipulation, statistical analysis, feature engineering, predictive modeling, and deriving insights.Developing deterministic problems with reproducible outcomes, minimizing stochastic elements or requiring fixed random seeds for exact results.Crafting scenarios based on actual business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and improving operational efficiency.Designing comprehensive problems that encompass the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Addressing big data processing challenges that necessitate scalable computational strategies.Validating solutions using Python and standard data science libraries along with statistical techniques.Clearly documenting problem statements in a business context and providing verified correct answers.Candidate ProfileThis role is ideal for Data Science professionals with extensive experience in Python, seeking part-time, non-permanent project work. The ideal candidates should possess:A minimum of 5 years of practical data science experience demonstrating measurable business impact.A portfolio showcasing completed projects and publications that highlight real-world problem-solving capabilities.Proficient Python programming skills for data science (including pandas, numpy, scipy, scikit-learn, and statsmodels).Expertise in statistical analysis and machine learning, with a deep understanding of algorithms, methods, and their practical applications.Command of SQL and database operations for effective data manipulation and analysis.Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases.Insight into MLOps practices and model deployment workflows.Knowledge of modern frameworks, such as TensorFlow, PyTorch, and LangChain.Strong written English communication skills (C1+ level).Application ProcessApply → Complete qualifications → Join a project → Undertake tasks → Receive payment
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects experienced data scientists with contract-based AI projects for major tech companies. Work centers on testing, evaluating, and improving AI systems across a range of industries. This is a project-based contract, not a permanent role. Role overview The Freelance Data Scientist (Python & SQL) will design and validate complex computational problems that reflect real analytical workflows. Projects may involve sectors like telecom, finance, government, e-commerce, and healthcare. Assignments focus on creating and documenting original data science problems that mirror practical business challenges. What you will do Create computational data science problems based on real business scenarios. Develop tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally demanding and cannot be solved manually in a short time. Design scenarios involving complex reasoning: data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Write deterministic problems with reproducible results, using fixed random seeds as needed. Align problem statements with business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Address the full data science pipeline: ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data processing elements that require scalable solutions. Validate solutions using Python and standard statistical methods. Document problems clearly in realistic business contexts and provide verified solutions. Requirements At least 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications demonstrating real-world problem-solving. Advanced Python programming for data science (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels). Strong knowledge of statistical analysis and machine learning, including algorithms and practical applications. Strong SQL skills for data manipulation and analysis. Experience with GenAI tools (LLMs, RAG, prompt engineering, vector databases). Familiarity with MLOps and model deployment workflows. Knowledge of frameworks such as TensorFlow, PyTorch, or LangChain. Exceptional written English (C1 level or higher). Application process Apply with an English CV and indicate your English proficiency. Complete qualification steps. Join a project when matched. Complete assigned tasks. Receive compensation for your contributions. Location: Remote , Manitoba, Canada Note: This is a part-time, project-based contract and does not constitute permanent employment.
Please submit your CV in English, specifying your English proficiency level.At Mindrift, we link talented specialists with project-based AI opportunities within renowned tech companies, concentrating on the assessment, testing, and enhancement of AI systems. This role is project-based rather than a permanent position.Opportunity Overview:Each project presents unique challenges, but contributors may be tasked with:Crafting original computational data science challenges that mimic real-world analytical workflows across various domains including telecom, finance, government, e-commerce, and healthcare.Implementing Python programming solutions for these challenges (utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn).Ensuring tasks are computationally demanding and not solvable manually within typical timeframes (days/weeks).Developing challenges that necessitate complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and deriving insights.Creating deterministic problems with consistent outputs: avoiding stochastic elements or mandating fixed random seeds for exact reproducibility.Grounding problems in authentic business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Designing comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Incorporating big data challenges that necessitate scalable computational strategies.Validating solutions through Python and standard data science libraries along with statistical techniques.Clearly documenting problem statements with realistic business contexts and providing verified correct answers.
Join Mindrift as a Freelance Python Data Scraping Engineer!We are seeking talented and experienced professionals to become a part of our innovative Tendem project, where you will lead specialized data scraping workflows within our hybrid AI and human collaboration system. In the role of AI Pilot—our unique title for this position—you will work alongside Tendem Agents who handle routine tasks, while you contribute your critical thinking skills, domain expertise, and quality assurance to ensure the delivery of precise and actionable insights.This part-time remote opportunity is perfect for individuals with proven experience in web scraping, data extraction, and processing.About MindriftAt Mindrift, we connect specialists with cutting-edge AI projects from leading tech innovators. Our mission is to harness the power of Generative AI by leveraging real-world expertise from around the globe.Role OverviewAs a Freelance Python Data Scraping Engineer, you will manage data scraping assignments that demand technical accuracy for web extraction and processing. You will utilize various tools, including Apify and OpenRouter, as well as your own creative methods to accomplish tasks effectively.Key ResponsibilitiesOversee comprehensive data extraction workflows across complex web environments, guaranteeing thorough coverage, precision, and dependable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) alongside customized workflows to expedite data collection, validation, and task execution while adhering to established specifications.Ensure consistent extraction from dynamic and interactive web sources, adapting methodologies to accommodate JavaScript-rendered content and evolving site behaviors.Uphold data quality standards through validation checks, cross-source consistency controls, and adherence to formatting guidelines, conducting systematic verifications prior to delivery.Scale scraping operations for extensive datasets using efficient batching or parallelization techniques, monitor failures, and maintain stability against minor site structure changes.CompensationContributors can earn up to $32 per hour, based on their expertise and contribution pace. Compensation may vary across projects depending on their scope, complexity, and required skill sets.How to ApplyTo get started, simply apply to this post, qualify, and seize the opportunity to contribute to projects that align with your technical skills, on your own schedule. From coding and automation to enhancing AI outputs, you will play a vital role in advancing AI capabilities and practical applications.QualificationsMinimum of 3 years of relevant experience in data engineering, web scraping, automation, or related fields.Strong proficiency in Python and experience with web scraping frameworks.Ability to work independently and manage multiple tasks efficiently.Excellent problem-solving skills and attention to detail.
As a Data Analyst, you will be instrumental in converting operational and strategic data into clear, actionable business insights. This role supports data-driven decision-making by developing comprehensive reporting solutions, optimizing data flows within a Power BI and Microsoft Azure (Fabric) environment, and automating data cleaning and validation processes using Python.Key Responsibilities:Design and maintain dashboards and reports using Power BI (Desktop and Fabric) and Zoho CRMExtract, analyze, and process data from SQL databases (PostgreSQL)Automate data cleaning and validation tasks using Python notebooks and PySparkEnsure accuracy, consistency, and integrity of data across all reporting processesDocument data cleaning methodologies and workflowsIdentify trends and critical insights to guide operational and strategic decisionsCollaborate with business stakeholders to translate analytical needs into reporting solutions
We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for top technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the OpportunityEach project presents unique challenges, and contributors may be tasked with:Designing original computational engineering problems that reflect real-world engineering workflows;Creating problems that necessitate Python programming to perform engineering calculations and simulations;Ensuring the problems are computationally intensive and require numerical methods or iterative solutions;Developing problems centered on system design, optimization, and analysis;Creating challenges based on authentic research issues or practical applications from the engineering field;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis role is well-suited for engineers proficient in Python who are open to part-time, non-permanent projects. Ideally, candidates should possess:A degree in Mechanical 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 also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessTo apply, follow these steps: Apply → Pass qualification checks → Join a project → Complete tasks → Get compensated.Project Time CommitmentDuring active phases, tasks are anticipated to require approximately 10-20 hours per week, depending on project needs. This estimate is not a guaranteed workload and is applicable only while the project is ongoing.CompensationContributors can earn up to $39 per hour, contingent on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Other projects on the platform may offer different earning opportunities based on their specific requirements.
We invite you to submit your resume in English and specify your proficiency level in the English language.At Mindrift, we specialize in connecting talented professionals with project-based opportunities in the AI sector, collaborating with leading technology companies to test, evaluate, and enhance AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewAs a contributor, you will engage in various unique projects that may involve:Designing original computational engineering problems that accurately simulate real-world engineering workflows;Creating Python-based problems for solving engineering calculations and simulations;Ensuring problems are computationally intensive, necessitating numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Utilizing real research challenges or practical applications from engineering practice as the basis for problems;Verifying solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified answers.Qualifications We SeekThis role is ideal for engineers with Python expertise who are interested in part-time, non-permanent project work. We ideally seek candidates with:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation, with experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or equivalent programming languages;At least 2 years of professional experience in applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.Process OverviewApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationProject Time CommitmentDuring active phases of the project, contributors can expect to commit approximately 10–20 hours per week based on project requirements. This is an estimate and not a guaranteed workload.Compensation DetailsContributors to this project have the potential to earn up to $39 per hour, contingent on their contribution level and pace. Please be aware that compensation may differ across different projects based on their scope, complexity, and required expertise.
Please submit your CV in English and indicate your level of English proficiency.Mindrift empowers professionals by connecting them with exciting, project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This engagement is strictly project-based and does not constitute permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may:Design innovative computational physics problems that replicate real-world physics research processes;Develop problems necessitating Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensure that problems are computationally intensive and cannot be resolved manually within a practical timeframe (days/weeks);Create challenges that demand complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research obstacles or practical applications within the field of physics;Validate solutions using Python alongside standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis role is ideally suited for optical engineers with Python expertise who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Familiarity with numerical simulation methods;The capacity to design problems that align with real physics research workflows;Creative problem-solving skills across various areas of physics;Knowledge of physics modeling and approximation techniques;Strong written English skills (C1+).How to Get InvolvedApply → Pass qualification(s) → Join a project → Complete tasks → Get compensatedProject CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, contingent upon project needs. This estimate is not a guaranteed workload and only applies while the project is active.Compensation DetailsContributors can earn up to $35 per hour, based on their expertise and contribution pace. Compensation may vary across projects depending on their scope, complexity, and required skills. Note that other projects on the platform may offer varying earning potentials based on distinct requirements.
Full-time|On-site|Vancouver, British Columbia, Canada
Data Engineer (Azure / Databricks / Python)About UsAt Two Circles, we are a leading Sports & Entertainment Marketing firm dedicated to enhancing audience engagement and driving revenue growth. By leveraging deep insights into fan behavior, we empower our clients to effectively connect with their audiences, amplifying both consumer and B2B revenues. Our trusted platforms and services cater to an impressive roster of over 900 clients worldwide, including renowned names like the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike, and Amazon. With a workforce nearing 1000 and 14 global offices, we are committed to delivering innovative solutions to sports and entertainment entities of all sizes.Your RoleWe are seeking a passionate Data Engineer to join our dynamic team of over 100 Data & BI Engineers, contributing to our Audience Intelligence Platform. In this pivotal role, you will play a key part in developing a cutting-edge data management and analytics platform tailored for the sports industry. You will harness the latest technologies to design, build, and optimize scalable data solutions, helping teams, leagues, and organizations unlock the full value of their data. If you thrive in a fast-paced environment and are eager to make a significant impact in the sports sector, we want to hear from you!Key ResponsibilitiesDesign, develop, and test scalable data platform solutions in Azure, utilizing tools such as ADF, Databricks, and Function Apps, with a focus on Python.Create high-quality data products, ensuring efficiency, reliability, and performance across our data pipelines.Collaborate closely with product and marketing teams to deliver data-driven insights and impactful solutions that drive business success.Write clean, maintainable code adhering to best practices and development frameworks, upholding robust data engineering standards.Continuously enhance and optimize data workflows, monitoring performance and implementing advancements to foster innovation.
Role overview Jobgether is hiring a Senior Python Data Scraping Engineer for a partner company. This freelance position is fully remote and open to candidates based in Canada. The main responsibility is building and maintaining scalable systems for web data extraction, supporting both AI-driven and human validation workflows. What you will do Design and improve Python-based scraping tools for dynamic, frequently changing websites Manage large volumes of data to ensure structured, reliable delivery at scale Adapt scraping strategies to new site architectures and anti-bot protections Collaborate with AI agents, maintaining strong standards for accuracy and quality control Help create datasets that support advanced analytics and AI projects Requirements Advanced Python skills, with a focus on web scraping and automation Experience running complex scraping projects and handling large datasets Ability to adapt quickly to changing web technologies and environments Keen attention to detail, especially regarding data accuracy and validation Comfort working independently as a remote freelancer Location and work arrangement This freelance role is open to candidates residing in Canada. The position values autonomy, technical expertise, and a reliable work ethic.
Toloka AI seeks a civil engineer with strong Python programming skills to join as a freelance AI trainer. This contract position is fully remote and open to candidates based in Manitoba, Canada. Role overview This role combines civil engineering expertise with Python development to support projects focused on training artificial intelligence systems. The position involves collaborating with team members and contributing technical insights that influence project direction. What you will do Apply civil engineering knowledge and Python programming to AI training projects Work with team members to refine and improve AI models Offer technical insights that help shape project outcomes Location This is a remote role for candidates located in Manitoba, Canada.
As a Data Analyst, you will play a pivotal role in converting operational and strategic data into insightful business intelligence. Your expertise will enhance data-driven decision-making by crafting sophisticated reporting solutions, optimizing data workflows within a Power BI and Microsoft Azure (Fabric) environment, and streamlining data cleaning and validation processes using Python.Your Key Responsibilities:Design and maintain engaging dashboards and reports in Power BI (Desktop & Fabric) and Zoho CRM.Extract, parse, and analyze data from SQL databases, particularly PostgreSQL.Automate data cleaning and validation workflows utilizing Python and PySpark notebooks.Guarantee data accuracy, consistency, and integrity throughout the reporting process.Document methodologies and workflows for data cleaning procedures.Identify trends and generate insights to aid operational and strategic decision-making.Collaborate with business stakeholders to translate analytical requirements into effective reporting solutions.
Take-Two Interactive Software, Inc. is looking for a Data Engineer with hands-on experience in Python and Spark. This position is based in Toronto, Ontario, and centers on building and improving data pipelines that support business analytics and decision-making. Key responsibilities Design and develop scalable data pipelines using Python and Spark Optimize data workflows to improve efficiency and reliability Work closely with teams across the company to transform raw data into actionable insights Contribute to data-driven projects and help support informed decision-making across the organization Location This role is based in Toronto, Ontario, Canada.
Full-time|On-site|Vancouver, British Columbia, Canada
Lead Data Engineer - Azure, Databricks, PythonAbout UsAt Two Circles, we are pioneers in the Sports & Entertainment Marketing industry, dedicated to amplifying audiences and enhancing revenue streams. Our deep understanding of fan behavior allows us to empower our clients to connect with their audiences more effectively. We collaborate with renowned organizations such as the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike, and Amazon, providing insights that drive growth in both direct-to-consumer and B2B sectors. With a global presence encompassing nearly 1,000 professionals across 14 offices, we are committed to delivering innovative solutions to sports and entertainment businesses worldwide. Your RoleWe are seeking an exceptional Data Engineer to join our dynamic team of over 100 Data & BI Engineers, focusing on our Audience Intelligence Platform. In this position, you will be instrumental in developing a cutting-edge data management and analytics platform tailored for the sports industry. You will leverage advanced technologies to design, create, and optimize scalable data solutions that enable teams and organizations to harness the full potential of their data. If you are passionate about data engineering and thrive in a collaborative and fast-paced environment, we encourage you to apply! Your responsibilities will evolve as you grow, starting with:Designing, building, and testing scalable data platform solutions within Azure, utilizing tools such as ADF, Databricks, and Function Apps, with expertise in Python.Creating high-quality data products that ensure efficiency, reliability, and performance across our data pipelines.Collaborating closely with product and marketing teams to deliver actionable data-driven insights and solutions that are of significant business value.Writing clean, maintainable code in accordance with industry best practices and development frameworks, upholding robust data engineering standards.Continuously enhancing and optimizing data workflows, monitoring performance metrics, and implementing innovations to drive progress.
About ClickHouseListed among the 2025 Forbes Cloud 100, ClickHouse is recognized as a leader in innovation within the private cloud sector. Serving over 3,000 clients and experiencing an astounding 250% year-over-year growth in ARR, ClickHouse excels in real-time analytics, data warehousing, observability, and AI-driven workloads.The company’s remarkable growth has been bolstered by a recent $400M Series D funding round. In the last quarter, major clients such as Capital One, Lovable, Decagon, Polymarket, and Airwallex have either adopted our platform or expanded their existing use. They join a prestigious roster of AI pioneers and global brands, including Meta, Cursor, Sony, and Tesla.Join us on our mission to revolutionize the way organizations leverage data.The Connectors team plays a crucial role in linking ClickHouse with the wider data ecosystem. We design and maintain integrations that empower millions of developers, data experts, and AI agents worldwide, ranging from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tools.Our contributions significantly influence how organizations manage extensive datasets: we support real-time analytics platforms processing millions of events per second, observability systems tracking global infrastructures, and increasingly, AI-powered data applications that redefine data interactions. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set benchmarks for performance, reliability, and user experience.About the RoleAs a Senior Software Engineer focused on Python and the Data Ecosystem, you will be a key contributor responsible for the evolution of essential components within ClickHouse’s data engineering ecosystem. This position lies at the crossroads of high-performance database engineering and enhancing developer experience. You will develop tools that empower Data Engineers and Data Scientists to leverage ClickHouse’s speed and scalability within their existing frameworks.We seek an individual who has firsthand experience as a Data Engineer or Data Scientist. The landscape for data practitioners is rapidly changing: databases are no longer mere query targets; they are becoming vital components of AI-driven workflows, serving as vector stores for RAG pipelines, backends for LLM-driven agents, and real-time feature stores for ML inference. Your understanding of these workflows comes from direct involvement, enabling you to provide product-level insights as you create integrations.
This freelance, project-based role at Toloka AI (in partnership with Mindrift) focuses on developing and validating advanced mathematics problems for AI education. Work is remote from Manitoba, Canada, and all applications must include a resume in English along with your English proficiency level. Role overview Contributors design computational mathematics challenges that mirror real research workflows. Each project brings unique tasks, such as: Creating original mathematics problems that require significant computational effort (not solvable manually in a reasonable timeframe) Developing Python-based solutions using libraries like Numpy, SciPy, or Sympy Focusing on areas such as number theory, combinatorics, graph theory, and numerical analysis Basing problems on genuine research questions or real-world mathematical applications Validating solutions programmatically and documenting both problems and solutions clearly Requirements Degree in Mathematics (Pure or Applied) or a related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar is also accepted At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems based on authentic mathematical research Understanding of computational complexity theory Excellent written English (C1 level or higher) Project commitment Projects typically require an estimated 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Contributors can earn up to $35 per hour, depending on the project’s complexity, scope, and your contribution. Rates may differ for other projects on the platform. Application process Apply with your resume and English proficiency Pass qualification steps Join a project Complete assigned tasks Receive payment This is a non-permanent, part-time opportunity for mathematicians with Python expertise interested in project-based AI education work.
Join Lyft as a Data Science Manager focusing on our Rider App. In this pivotal role, you will lead a team of talented data scientists to enhance the rider experience through data-driven insights and innovative solutions. You will collaborate closely with product managers and engineers to drive strategic initiatives, leveraging analytics to inform decision-making and optimize product performance.Your expertise in data analysis and leadership will empower your team to tackle complex challenges and deliver actionable insights that enhance our rider services. This is an exciting opportunity to make a significant impact in a fast-paced environment.
At Kunai, we are at the forefront of transforming the financial services landscape. We develop comprehensive full-stack technology solutions tailored for banks, credit and payment networks, and infrastructure providers, empowering them to enhance their customer relationships and modernize their operations. Our mission is to facilitate our clients' adaptation to emerging trends and to future-proof their businesses by maintaining a tech-agnostic and human-centered approach.Join us in Montreal (on-site) to help shape the future of financial technology.
Join Us in Revolutionizing Grocery Shopping!At Instacart, we believe in the power of food to bring people together. Our mission is to ensure that everyone has access to the food they love, while also making it easier for them to spend more time enjoying it with their families and friends. We see grocery delivery not just as a service, but as a complex and exciting opportunity to meet the diverse needs of our community. Our platform provides essential grocery and household goods, while also offering flexible earning opportunities for our Instacart Personal Shoppers.Instacart has become a vital resource for millions, and we are expanding our team to continue driving our mission forward. If you’re ready to take on the challenge and make an impact, we’d love to have you at our table.Flexibility at InstacartWe understand that there isn’t a one-size-fits-all approach to productivity. Our employees enjoy the freedom to choose their work environment—be it from home, at an office, or your favorite café—while staying connected through regular in-person events. Discover more about our flexible work approach.OverviewAs part of the Shopping Experience team within our Core Experience group, you will lead the end-to-end consumer journey with a single retailer, from the storefront and browsing experience, through search and item discovery, all the way to cart and checkout. Our goal is to create intuitive, data-driven experiences that help customers find what they love quickly and efficiently.We are seeking a Data Science Manager to lead a team of talented data scientists and define the analytics and experimentation strategy across critical shopper interfaces, including storefront, browsing, search, cart, checkout, OSP, Family, Lists, and Meals/Health. In this dynamic, cross-functional role, you will collaborate closely with Product, Engineering, Design, and Operations teams to establish key metrics, enhance experiment design and outcomes, and provide insights that drive conversion, retention, and customer satisfaction, ultimately benefiting both our customers and retailer partners.This is a fast-paced, evolving environment where priorities shift and complex trade-offs are made across various initiatives, including Enterprise, Lifecycle, Category Growth, and Foundations work. If you thrive in a hands-on role and are motivated by clarity and purpose, you will excel here.
