Data Science Manager - Shopping Experience

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 ex…

Join info-ways as a talented AXIOM SQL Consultant in a fully remote role where you'll leverage your SQL expertise to shape data-driven solutions. We are looking for a professional who can work collaboratively with our team to optimize database performance and ensure seamless data integration. If you are passionate about SQL and thrive in a remote work environment, this is an excellent opportunity for you!

Join Tiger Analytics, a dynamic and rapidly expanding advanced analytics consulting firm recognized for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We partner with leading Fortune 100 companies to unlock the potential of their data, driving substantial business value. Acknowledged by Forrester and Gartner for our leadership in the analytics space, we are on the lookout for exceptional talent to help build the world’s premier analytics consulting team.We are currently seeking a skilled Data Engineer proficient in Dataiku to join our innovative data team. In this role, you will design, construct, and maintain data pipelines, integration processes, and infrastructure. Working closely with data scientists, analysts, and other key stakeholders, you will facilitate efficient data flow and empower data-driven decision-making throughout the organization.

Tiger Analytics is a rapidly expanding advanced analytics consulting firm renowned for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We pride ourselves on being the analytics partner of choice for multiple Fortune 100 companies, helping them derive significant business value from their data. Our leadership and business impact have been acknowledged by prominent market research entities, including Forrester and Gartner. We are on the lookout for exceptional talent to enhance our global analytics consulting team.We are currently seeking a highly skilled Data Engineer with extensive experience in Dataiku to join our dynamic data team. In this pivotal role, you will be responsible for designing, constructing, and sustaining robust data pipelines, integration processes, and infrastructure. Your collaboration with data scientists, analysts, and other key stakeholders will be essential to ensure a seamless flow of data and to facilitate data-driven decision-making throughout the organization.

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.

Welocalize, a leading global transformation partner, empowers brands and companies to successfully navigate their international business journeys. We specialize in multilingual content transformation services, offering translation, localization, and adaptation across over 250 languages, backed by a robust network of more than 400,000 in-country linguistic professionals. Our innovative approach to language services includes high-quality training data solutions for NLP-driven machine learning, combining cutting-edge technology with human expertise to meticulously collect, annotate, and assess all forms of content. With teams operating in North America, Europe, and Asia, we are dedicated to serving our global clients in the markets that matter most to them. www.welocalize.comRole OverviewWe are seeking a skilled freelance proofreader fluent in English and French Canadian, with a background in Life Sciences, for an ongoing proofreading project supporting several prominent pharmaceutical clients. The focus will be on documents intended for investigators, patients, and pharmacies.This position is fully remote and freelance, with an anticipated weekly workload of 2,000 to 5,000 words. There is no required minimum word count, as we value collaboration based on your availability.Project SpecificationsLocation: RemoteExpected Volume: 2,000 to 5,000 words per weekStart Date: ImmediateEmployment Type: Freelance/Independent ContractorTask Type: Translation, proofreading, and machine translationContent Types: Investigator-facing, patient-facing, and pharmacyCAT Tool: XTM

We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented professionals with project-based AI opportunities for leading technology firms, focusing on the evaluation, testing, and enhancement of AI systems. This is a project-based engagement, not a full-time position.Project Overview:Each project involves distinctive tasks, including:Creating innovative computational physics problems that emulate authentic physics research workflows;Developing programming challenges that necessitate Python solutions (utilizing Numpy, SciPy, Sympy);Ensuring tasks are computationally demanding and unsuitable for manual resolution within practical timeframes (days/weeks);Constructing problems that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or applications from the field of physics;Validating solutions using Python with established physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Candidate Profile:This role is ideal for physicists with Python expertise who are interested in part-time, project-based engagements. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or any programming language is equivalent;At least 2 years of relevant professional experience: applied, research, or teaching experience is applicable;Experience with numerical simulation methodologies;Ability to design problems that reflect authentic physics research workflows;Creative problem design skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ proficiency).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Project Commitment:For this project, contributors are expected to allocate approximately 10–20 hours per week during active phases, contingent on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $35 per hour, depending on their contribution level and pace. Compensation may vary across projects based on their scope, complexity, and required expertise.

Please submit your CV in English and indicate your level of English proficiency.Mindrift is dedicated to linking talented specialists with innovative project-based opportunities in AI for top-tier technology companies, emphasizing the evaluation, testing, and enhancement of AI systems. This is a project-based engagement and does not constitute permanent employment.Opportunity OverviewEach project presents a variety of unique tasks that contributors may undertake, including:Creating original materials that simulate authentic engineering workflows;Formulating engineering problems that necessitate Python programming for simulations and calculations;Ensuring that these problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges around system design, optimization, and analysis;Designing problems based on real-world research challenges or practical applications from the field;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified, accurate answers.Qualifications and Skills RequiredThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent work arrangements. The ideal 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 any comparable programming language is acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written communication skills in English (C1+ level).How the Process WorksApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationExpected Project CommitmentThis project anticipates a commitment of approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and does not guarantee a specific workload.Compensation DetailsContributors can earn up to $35 per hour, subject to their expertise and contribution pace. Please note that compensation may vary significantly across different projects based on their complexity and scope.

We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we connect talented professionals with exciting, project-based AI opportunities for prestigious technology companies. Our focus is on evaluating, testing, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the Role:Each project presents unique challenges, and as a contributor, you will:Design innovative computational physics problems that replicate authentic physics research workflows.Develop problems necessitating Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy).Ensure the problems are computationally intense, requiring extensive time to solve (days or weeks).Create problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics.Base problems on genuine research challenges or practical applications in physics.Verify solutions using Python and established physics simulation libraries.Clearly document problem statements and provide verified correct answers.Qualifications We Seek:This opportunity is ideal for physicists experienced 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 related disciplines.Proficiency in Python for numerical validation. Equivalent experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is acceptable.A minimum of 2 years of professional experience, which may include applied, research, or teaching roles.Familiarity with numerical simulation techniques.The ability to craft problems that accurately reflect real physics research workflows.Creative problem-solving skills across various physics domains.Knowledge of physics modeling and approximation methods.Excellent written English skills (C1+ level).How the Process Works:Apply → Complete qualifications → Join a project → Perform tasks → Receive payment.Project Commitment:The estimated workload for this project is approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and not a guaranteed workload.Compensation Details:Contributors may earn up to $35 per hour, contingent upon their contribution level and pace. Compensation varies by project and is influenced by the scope, complexity, and required expertise.

Role overview Numeris seeks a Senior Manager of Data Science to lead remote projects from Toronto, focusing on audience measurement. This position guides a team of data scientists as they create analytical models and shape methodologies that support Numeris services. What you will do Supervise and mentor a team of data scientists working on audience measurement projects Direct the creation of advanced analytical models to enhance Numeris products and services Develop and refine methodologies that influence how Numeris delivers value to its clients Use data insights to support strategic decisions across the organization Impact This role is central to Numeris’s ability to adapt in a changing industry. The Senior Manager of Data Science helps determine the direction of analytics, ensuring that clients benefit from approaches grounded in current thinking and innovation.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects professionals with project-based AI work for technology companies. The focus is on assessing, evaluating, and improving AI systems. All positions are project-based and do not offer permanent employment. Role overview This freelance, remote position is available to candidates based in Manitoba, Canada. Material scientists with strong Python expertise will design and validate engineering challenges for AI projects. The work centers on creating realistic problems and ensuring solutions are accurate and practical. Main responsibilities Develop materials engineering problems that reflect real-world processes Create tasks requiring Python programming for calculations and simulations Ensure problems involve computational complexity, such as numerical methods or iterative solutions Design challenges focused on system design, optimization, and analysis Base problems on authentic research or practical engineering scenarios Validate all solutions using Python and standard engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus At least 2 years of relevant experience in industry, research, or teaching Solid understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Project commitment Expect to contribute roughly 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. This estimate applies only during active phases and does not guarantee a set number of hours. Compensation Earn up to $35 per hour, depending on contribution and pace. Compensation may vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different rates depending on their needs. Application process Apply Meet qualifications Join a project Complete assigned tasks Receive compensation

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.

About the RoleAt Vantage Analytics, we are seeking a talented Senior Backend Engineer to join our dynamic team. In this pivotal role, you will be instrumental in developing features and integrating systems with our partners. As a subject matter expert in backend technologies, you will also provide mentorship to fellow engineers. Expect to engage extensively with external APIs for data retrieval and to design and implement APIs facilitating effective data exchanges. Your expertise will help us manage large datasets while ensuring our services remain reliable and performant.Your contributions will support various product teams in maintaining robust architecture, exceptional code quality, and timely project delivery. You will act as a trusted reviewer for SQL and Django ORM modifications, setting clear benchmarks for database and service performance, and aiding in design and trade-off decisions that enhance the scalability of our platform.This opening serves as a backfill for an existing vacancy, making it an exciting opportunity to step into a crucial role within our engineering department.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift connects talented specialists with exciting, project-based AI opportunities at leading technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based engagement and does not constitute permanent employment.What This Role EntailsContributors will engage in diverse tasks that may include:Designing innovative computational statistics problems that replicate authentic mathematical research workflows;Developing problems that require Python programming to solve, utilizing libraries such as Numpy, SciPy, and Sympy;Creating computationally intensive problems that cannot be manually solved within a reasonable timeframe (days or weeks);Formulating problems that necessitate non-trivial reasoning across various mathematical domains, including number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in real research challenges or practical scenarios from the field of mathematics;Validating solutions using Python and established mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Desired QualificationsThis opportunity is ideal for statistics experts with Python experience seeking part-time, non-permanent project roles. The ideal candidates will possess:A degree in Statistics or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any programming language can be considered equivalent;At least 2 years of professional experience in applied statistics, research, or teaching;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.Application ProcessTo apply, please submit your application, pass the necessary qualifications, join a project, complete the assigned tasks, and receive payment.Project Time CommitmentDuring active phases, tasks for this project are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and may vary based on the active project requirements.CompensationContributors can earn up to $38 per hour, contingent on their level of expertise and contribution pace. Compensation may differ across projects based on their scope, complexity, and required expertise. Please be aware that other projects on the platform may offer varying earning levels based on specific requirements.

About UsJoin StripeAs a leading financial infrastructure platform, Stripe empowers businesses to streamline their payment processes, boost revenue, and unlock new growth opportunities. Our mission is to enhance the global economy through the internet, and we invite you to be part of this transformative journey. With millions of users ranging from large enterprises to innovative startups, your work here will have a profound impact on the future of commerce.The Data Foundations TeamOur Data Foundations team is at the forefront of data engineering and tooling at Stripe. We enable various teams across the organization to harness the power of data for informed decision-making and user-centric product development. We are seeking passionate software engineers with a strong data focus to help us manage critical data that drives our business. If you're enthusiastic about designing robust data pipelines and creating data-driven user experiences, we would love to connect with you.Team Matching: In the final stages of the hiring process, we will match you to specific subteams based on your expertise and interests. We may also consider you for other teams based on your qualifications and location. For more details on our team matching process, please refer to this document.

Join Lyft as a Data Science Decisions Specialist within our Verticals team! In this role, you'll leverage advanced data analytics and machine learning techniques to drive strategic decisions across various business domains. Collaborate with cross-functional teams to uncover insights that enhance operational efficiency and customer satisfaction.

Please submit your CV in English, specifying your English proficiency level.At Mindrift, we specialize in connecting talented professionals with exciting project-based AI opportunities across renowned tech companies, dedicated to the testing, evaluation, and enhancement of AI systems. Note that participation is on a project basis and does not constitute permanent employment.Project Involvement Includes:Designing innovative computational physics problems that emulate authentic research workflows;Creating problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and not solvable manually within practical timeframes (days/weeks);Developing problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Rooting problems in real research challenges or practical applications from the field of physics;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Desired Qualifications:This role is ideal for quantum researchers proficient in Python, seeking part-time, non-permanent project opportunities. Preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any specific programming language may be considered equivalent;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation methodologies;Adeptness in designing problems that reflect genuine physics research workflows;Creative problem design skills spanning various physics domains;Knowledge of physics modeling and approximation techniques;Strong command of written English (C1+ level).Application Process:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive paymentProject Time Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $35 per hour, varying with their contribution level and speed. Compensation may differ across projects depending on scope, complexity, and expertise required.

About Borrowell:At Borrowell, our mission is to empower Canadians to take charge of their financial futures. We provide essential tools and insights to help individuals understand, build, and utilize their credit effectively.With the trust of 1 in 10 Canadians, Borrowell supports over 3 million members with comprehensive credit monitoring and tailored insights. Our innovative offerings, including Credit Builder and rent reporting, enable consumers to enhance their credit profiles, granting access to a broader range of financial products at more competitive rates. Furthermore, we provide personalized recommendations for financial products from Canada’s most trusted providers, aligned with each member's credit profile and financial objectives.Our diverse and inclusive team is united by a passion for making a significant impact in the lives of Canadians. We foster a collaborative culture rooted in humility and innovation. If you aspire to join a company that is reshaping the financial landscape and empowering Canadians to reach their financial goals, we encourage you to consider career opportunities at Borrowell. Together, we can help Canadians feel confident about their money.About the Role:As a Data Engineer, you will be instrumental in building and maintaining our data infrastructure while leveraging cutting-edge technologies such as Snowflake, Apache Airflow, DBT, serverless functions, and Docker. You will collaborate closely with data, engineering, and business teams to create solutions that drive impactful business analytics, insights, and data-driven applications.In your first year, you can anticipate:Creating end-to-end ELT pipelines that consolidate data from various sources to support a reliable and scalable data platform.Designing and developing high-performance, reusable data models that effectively manage large datasets and cater to analytics, marketing, and machine learning applications.Building and maintaining APIs for seamless data sharing across systems, including deployment and serving of machine learning models in production.Collaborating with engineering, data, and business teams to implement impactful data engineering initiatives.Contributing significantly to the design and execution of core data infrastructure strategies.

Join Dropbox as a Senior Data Science Manager, leading our AI Products team in the development of innovative data-driven solutions. In this pivotal role, you will leverage your expertise in data science to drive product strategy, enhance user experience, and contribute to the advancement of AI technologies. Collaborate with cross-functional teams to design and execute data-centric initiatives that align with our vision and mission.