Data Science Manager Jobs

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. Work closely with the legal team to handle any compliance or data privacy-related matters. Develop and deploy highly scalable distributed systems capable of handling petabytes of data. Architect and implement algorithms for data indexing and search capabilities. Build and maintain backend services for data storage, including work with key-value databases and synchronization. Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. Conduct and analyze experiments on data to provide insights into system performance. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in software development. Experience with large web crawlers a plus Strong expertise in large stateful distributed systems and data processing. Proficiency in Kubernetes, and Infrastructure-as-Code concepts. Willingness and enthusiasm for trying new approaches and technologies. Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. Optimize backend services for performance, scalability, and security in a distributed computing environment. Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in full-stack development. Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). Experience building data-intensive applications that handle large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Prior experience with web crawling and large-scale data processing is a

JOB TITLE Reference Data Engineer A Career with point72’s Cubist TEAM Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What you’ll do Develop, test, and maintain software applications using .NET Full Stack technologies. Write clean, scalable, and efficient code in Python for various applications. Collaborate with cross-functional teams to define, design, and ship new features. Implement and manage CI/CD pipelines and other DevOps practices to ensure smooth deployment and operation of software solutions. Participate in code reviews and contribute to a culture of continuous improvement. Troubleshoot and resolve software defects and issues in a timely manner. Stay up to date with emerging technologies and industry trends to enhance skills and knowledge. What’s REQUIRED We are looking for a motivated and skilled Software Engineer with experience in .NET Full Stack development, Python, and DevOps. You should also have: Bachelor’s or master’s degree in computer science, engineering, statistics or a related field. 3+ years of experience in .NET Full Stack development and Python programming. Basic understanding and practical experience with DevOps tools and methodologies. Strong problem-solving skills and attention to detail. Excellent communication skills and the ability to work collaboratively in a team environment. Eagerness to learn and adapt to new technologies and challenges. Commitment to the highest ethical standards. About point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its inves

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Summary: Build systems for collection & transformation of complex data sets for use in production systems Collaborate with engineers on building & maintaining back-end services Implement data schema and data management improvements for scale and performance Provide insights into key performance indicators for the product and customer usage Serve as team's authority on data infrastructure, privacy controls and data security Collaborate with appropriate stakeholders to understand user requirements Support efforts for continuous improvement, metrics and test automation Maintain operations of live service as issues arise on a rotational, on-call basis Verify whether data architecture meets security and compliance requirements and expectations .Should be able to fast learn and quickly adapt at rapid pace. java/scala, SQL, Minimum Qualifications: Bachelor's degree in computer science, computer engineering or a related field, or equivalent Experience 6+ years of progressive experience demonstrating strong architecture, programming and engineering skills. Firm grasp of data structures, algorithms with fluency in programming languages like Java, Python, Scala. Strong SQL language and should be able to write complex queries. Strong Airflow like orchestration tools. Demonstrated ability to lead, partner, and collaborate cross functionally across many engineering organizations Experience with streaming technologies such as Apache Spark, Kafka, Flink. Backend experience including Apache Cassandra, MongoDB and relational databases such as Oracle, PostgreSQL AWS/GCP Solid hands on with 4+ years of experience. St

Location : Come and join us in Hamburg, Berlin or Barcelona! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for a Senior Data Analyst (m/f/d) to collaborate with our operational squads. In this role you will be able to become an expert in our business and data analysis systems and environment to allow you to champion data-driven decisions as part of the Data Operations team. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate analysts who strive for excellence and like to have fun. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Focus on analysing and presenting recommendations/process changes/new initiatives to management using insights derived from data. Use your technical skills such as actively engaging in configuration and programming in the data environment, querying data via SQL from the data lake, automating data processes, deep dive analysis in Python and adjusting ETL tasks. Bringing new insights and championing them using your analyses, dashboards, and good storytelling! We value ideas over hierarchy, and there's always a new path to follow if your idea is convincing and well-backed with data. Develop monitoring tools to measure performance and help the business achieve its objectives. Create queries to answer operational and business questions across our many operational teams to support decisions. Communicate results in a clear and impactful manner. TO BE SUCCESSFUL IN THIS ROLE: Educated to Degree Level or higher in an analytical discipline such as Engineering, Computer Science or Economics 5+ years of experience in an analytical role You have curiosity in your essence, which motivates you to answer WHY things happened, not only scratching the surface, but aiming for well-founded actionable results Curiosity about AI and its practical applications in analytics, experience using LLMs or AI-powere

Location : Come and join us in Hamburg, Berlin or Barcelona! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for a Senior Data Analyst (m/f/d) to collaborate with our operational squads. In this role you will be able to become an expert in our business and data analysis systems and environment to allow you to champion data-driven decisions as part of the Data Operations team. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate analysts who strive for excellence and like to have fun. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Focus on analysing and presenting recommendations/process changes/new initiatives to management using insights derived from data. Use your technical skills such as actively engaging in configuration and programming in the data environment, querying data via SQL from the data lake, automating data processes, deep dive analysis in Python and adjusting ETL tasks. Bringing new insights and championing them using your analyses, dashboards, and good storytelling! We value ideas over hierarchy, and there's always a new path to follow if your idea is convincing and well-backed with data. Develop monitoring tools to measure performance and help the business achieve its objectives. Create queries to answer operational and business questions across our many operational teams to support decisions. Communicate results in a clear and impactful manner. TO BE SUCCESSFUL IN THIS ROLE: Educated to Degree Level or higher in an analytical discipline such as Engineering, Computer Science or Economics 5+ years of experience in an analytical role You have curiosity in your essence, which motivates you to answer WHY things happened, not only scratching the surface, but aiming for well-founded actionable results Curiosity about AI and its practical applications in analytics, experience using LLMs or AI-powere

Overview The Insights team delivers high-quality research, market intelligence, and data-driven analysis to support clients’ strategic and investment decisions. Working across industries-including healthcare and medtech-the team combines primary and secondary research with deep analytical capabilities to generate actionable insights. Team members collaborate closely with global stakeholders to translate complex information into clear, impactful outputs. The Project Manager – Insights is responsible for overseeing the end-to-end delivery of research projects, ensuring timelines, quality standards, and client expectations are consistently met. This role coordinates across internal teams and stakeholders to manage multiple concurrent projects, streamline workflows, and drive execution. The ideal candidate combines strong organizational and communication skills with an ability to translate complex project requirements into efficient delivery. This is a hybrid position out of our Mumbai OR Pune office What You’ll Do : Manage end-to-end delivery of research and insights projects, ensuring timelines and quality standards are met Coordinate across analysts, researchers, and stakeholders to execute project plans Define project scope, objectives, and deliverables in collaboration with internal teams and clients Track project progress, manage risks, and proactively address bottlenecks Oversee preparation and delivery of client-ready reports, presentations, and outputs Ensure consistency, accuracy, and quality of insights and deliverables Optimize workflows, processes, and tools to improve efficiency and scalability Support resource allocation and prioritize workload across multiple concurrent projects Maintain clear and consistent communication with stakeholders on timelines and outcomes What You Have : Bachelor’s degree from an accredited college/university (e.g., Business, Economics, Life Sciences, or related field) +4 years of experience in project management, consulting, r

ROLE SUMMARY This is a laboratory-based position within the Vaccine Research and Development, EBPD – Analytical GLP laboratory group. The individual will perform routine sample testing, assay verification and qualification studies in support of material characterization for vaccine GLP toxicology studies. Assays include but are not limited to enzyme-linked immunosorbent assays (ELISAs) and other plate-based testing, Antigenicity by MSD and Hamilton, HPLC, spectroscopic techniques (UV-Vis), Endotoxin, Bioburden, pH and Appearance. This position will require work on fast-moving high-visibility projects within regulated GLP laboratory environment. ROLE RESPONSIBILITIES Under direct supervision, perform sample testing in support of toxicology studies, including release, stability, and assay qualification. Ability to perform necessary calculations independently and discuss conclusions with their manager. Document experiments and analyze data from sample testing and method qualification experiments using an electronic laboratory notebook and LIMS with guidance. Contribute to the authoring of technical documents including assay qualification reports, analytical test methods, stability protocols/reports. Assure safety and compliance. Provide daily laboratory operations support. QUALIFICATIONS Basic Qualifications: BS or BA degree in biology or related discipline with 0- 2 years relevant experience. · Basic knowledge of bioassay analytical techniques. Strong verbal and written communication skills. Proficiency with personal computers including word processing, spreadsheets, PowerPoint and relevant scientific software is required. Preferred Qualifications: Prior experience work

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management. What you'll be doing: Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training. Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. Deploy AI models. Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns. Analyze and operationalize complex distributed systems for speed-of-light performance. What we need to see: Experience developing high-performance, scalable software systems. MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong programming skills in Python or Golang Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. Strong architectural skills with a proactive, problem-solving mentality. Experience in data mi

Work Flexibility: Hybrid The Senior Quality Management System Specialist will help design, maintain, and continuously improve a quality management system that supports regulatory approval and business growth across global markets. You’ll collaborate across functions to ensure quality processes are not only compliant, but practical, efficient, and future‑ready. Activities include Quality System documentation, Internal Quality Agreements, Supplier Quality Agreements, and general QMS activities related to Mergers and Acquisitions. This role is Hybrid in Portage, Michigan . What You Will Do Support and maintain a compliant Quality Management System aligned with global medical device regulations to enable product certification and regulatory clearances. Develop and update quality system processes, procedures, and documentation to reflect business needs and regulatory expectations. Assess and quantify quality system requirements to optimize structure, integration, and scalability. Identify and implement continuous improvement opportunities that increase efficiency and effectiveness of quality processes. Support management review, quality planning forums, and related governance activities with data-driven inputs. Partner with stakeholders to ensure quality processes reflect actual operational activities, including support for new product development. Prepare for and support internal, external, and third‑party quality system audits, including responses and follow‑up actions. Contribute to quality system training content and delivery to ensure effective adoption across the organization. What You Will Need Bachelor’s degree in science, engineering, business, or a related discipline. <

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure. Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration. Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks. Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads. Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification. What we need to see: BS in Computer Science, Information Sys

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization. We're looking for a Software Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges. This role will be based out of Washington, Oregon, or California. The ideal candidate for this role will have 2+ years of engineering experience in backend systems, distributed systems, or core platform development Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory ma

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We're hiring Software Engineers for our Data Platform team to build and evolve Snowflake's real-time stream processing and data transformation platform. If you've built or researched high-throughput streaming systems or scalable transformation engines - in industry or graduate work - we want to talk. AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL: Design and implement low-latency stream processing and in-flight data transformation systems at global scale Own correctness and performance of streaming execution (watermarks, exactly-once delivery, out-of-order handling) Build transformation primitives and operators that run reliably at cloud-scale throughput Contribute to architectural decisions for our next-generation streaming and transformation platform Write production-quality systems code and collaborate across product and engineering teams OUR IDEAL CANDIDATE WILL HAVE: BS/MS/PhD in Computer Science or related field — graduate research in streaming, distributed systems, or query/transformation engines is a strong differentiator Deep distributed systems fundamentals: fault tolerance, consistency, state management Hands-on or experience with stream processing or transformation systems (Flink, Kafka Streams, Spark Structured Streaming, or similar) Proficiency i

This position will be part of a growing team working towards building world class large scale Big Data architectures. This individual should have a sound understanding of programming principles, experience in programming in Java, Python or similar languages and can expect to spend a majority of their time coding. Location - Bengaluru Work Experience : 3 - 5 Years Responsibilities: Good development practices Hands on coder with good experience in programming languages like Java, Python, C++ or Scala. Good understanding of programming principles and development practices like checkin policy, unit testing, code deployment Self starter to be able to grasp new concepts and technology and translate them into large scale engineering developments Excellent experience in Application development and support, integration development and data management. Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid Hands on coder with good understanding on enterprise level code Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment Culture Must be a strategic thinker with the ability to think unconventional / out:of:box. Analytical and data driven orientation. Raw intellect, talent and energy are critical. Entrepreneurial and Agile : understands the demands of a private, high growth company. Ability to be both a leader and hands on "doer". Qualifications: - Years of track record of relevant work experience and a computer Science or related technical discipline is required Experience with functional and object-oriented pro

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. Technical Lead – Data Engineering As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Provide technical leadership and manage it day to day basis Guiding developers