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As a GTM Technology & Data Analyst, you will:. Advocate for the needs and priorities of Marketing, Sales, and CX Operations in discussions with Business Technology, and Data Analytics & Science, facilitating alignment on goals and strategies. Collaborate with the Business Technology team to

As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. Work closely with Product, Engineering, and Data Science teams to align on product requirements, s

BSc/BA in Data Science, Computer Science, Engineering. You will be working alongside our Data Science consultants and our clients on Data Science topics, including data acquisition and exploration, creating relevant data models and presenting results to stakeholders. You will also contribute to inte

Princeton or Philadelphia office, will help deliver world-class data strategy solutions for Life Science clients, including operating models, data governance, data sourcing, process design, value creation, data catalogs, data compliance, and more. Data Strategy and Life Science, working with consult

Demonstrated understanding of email marketing best practices, including segmentation, personalization, accessibility, and compliance. Experience partnering with XFN teams including Product Marketing, Demand Gen, and Data Science. Experience working with international or regional marketing teams on l

Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data sources such as graph, Cosmos DB, JSON in Blob Storage, and vector databases. Bachelor's or Master's degree in Data Science, Statistics, Applied M

Critical data in modern organizations is often sprayed across a broad set of cloud data silos, and it's a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Our AI-native platform spans sensitive data protection across SaaS, email, data exf

This role sits within Finance but functions at the intersection of Finance, Data Science, Analytics Engineering, Product, and GTM. We're looking for a highly analytical, technically fluent, and business-savvy individual to be the founding member of our Finance Analytics team at Grammarly. Establish

As the Senior Manager of Data Science, Finance, you will be a key partner to our executive and C-level leadership team. This role reports into our central Data & ML team within the Engineering organization, ensuring a strong technical foundation and career path, while being dedicated to the Finance

Sehr gut bis gut abgeschlossenes Studium im Bereich Maschinenbau, Fahrzeugtechnik, Informatik, Data Science oder einer vergleichbaren Studienrichtung.

Senior Head of Data Science & Engineering, Data-as-a-Service. BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience. Advanced degree in a quantitative field (Economics, Computer Science, Physics).

This role is central to building the business requirements for our GTM technology stack, directly contributing to the effectiveness and efficiency of our GTM teams. You'll be the crucial link between Operations, Business Technology, and Data Analytics & Science ensuring seamless communication, strat

Disclaimer: Jobs listed on h1bgrader.It is up to the discretion of the company and their policy.By using our website, including jobs section, you are agreeing to our terms and conditions.Head of Brion Marketing & Business Development.Technical Lead (Identity and Biometric Solutions).Early Childhood

As an early member of the Data Science team at Render, you’ll have a critical impact on our growth by shaping product strategy and guiding investment decisions through clear, actionable insights.

Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. In this hybrid role, you will report to a Director, Product Data Science.

Join us! GoFundMe is looking for a Staff Data Scientist to strengthen our marketing data science and analytics initiatives and enhance data science operations throughout the company. Mentor and coach junior data scientists and analysts; lead code reviews, knowledge-sharing sessions, and onboarding a

As a Staff Data Scientist on the Risk & Safety sub-team, you'll be a technical leader and a go-to expert for risk & safety data science projects. On the Risk & Safety Data Science sub-team of Aurora Data Solutions (ADS), you will join a world-class group of data scientists, analysts, and engineers w

We develop highly impactful features, including Airbnb Services , Guest Favorites and Airbnb Categories , while collaborating closely with partners across design, product management, and data science to deliver experiences used by millions of people. Airbnb’s Search Feed team powers the core searc

Swish Analytics is hiring Basketball Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products.

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry's most actionable data to drive superior results for the world's largest advertisers, publishers, and media platforms. Integral Ad Science (IAS) is a leading global media measurement

Program: Apply today for The Data Incubator’s Free Data Science Fellowship Program. The Data Incubator is an intensive 8 week fellowship that prepares current and graduated masters, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. Regional Science A

Job Search Search Keyword Location Enter any keyword including company name, job title in the search box.CA, IL etc) or enter city name, state code (e.Disclaimer: Jobs listed on h1bgrader.It is up to the discretion of the company and their policy.By using our website, including jobs section, you are

This role sits within Finance but functions at the intersection of Finance, Data Science, Analytics Engineering, Product, and GTM. We're looking for a highly analytical, technically fluent, and business-savvy individual to be the founding member of our Finance Analytics team at Grammarly. Establish

As a senior, hands-on, Applied Data Scientist in our Data Science & Engineering organization, you will drive execution, provide solid technical expertise, raise the bar of the ML Engineering team, and contribute towards shaping the long-term model and system architecture of the platform. Minimum

We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions and Human-provided solutions. Data Science Manager Responsibilities. Develop and execute a comprehens

Job Requisition ___ Job Requisition Genenech, South San Francisco Executive Summary The Device Development Lab Engineer will play a crucial role in our device development lab, focusing on becoming an expert with the lab's equipment and technologies. The individual will be responsible for using lab technologies to develop, improve, and validate automated or semi-automated test methods and qualifying computerized systems. This position requires a combination of technical expertise, problem-solving skills, and a keen eye for detail. Job Responsibilities ● Equipment Expertise: Gain comprehensive knowledge of all equipment and technologies used in the device development lab. ● Test Method Development: Develop, optimize, and validate automated or semi-automated test methods for device testing and analysis. ● Computerized System Qualification: Qualify computerized systems used in the lab to ensure they meet all regulatory and operational requirements. ● Data Analysis: Perform detailed data analysis and interpretation of test results to identify trends, issues, and areas for improvement. ● Documentation: Author and/or review procedures, protocols, and reports. ● Collaboration: Work closely with cross-functional teams, including R&D, Quality Assurance, and Manufacturing, to support device development projects. ● Troubleshooting: Identify and resolve technical issues related to lab equipment and testing procedures. ● Continuous Improvement: Proactively seek and implement improvements to lab processes and methodologies. Qualifications Education and Experience ● B.S./B.A. in Engineering, Physics, Applied Science, or related discipline. Technical Knowledge: ● Proficiency with a variety of lab equipment and technologies. ● Strong understanding of automated and semi-automated test method development and validation. ● Experience with programming and automating test equipment. ● Experience with qualifying computerized systems. ● Familiarity with data analysis and statistical tools. Interpersonal Skills: ● Excellent problem-solving abilities. ● Strong attention to detail and accuracy. ● Effective communication and collaboration skills. Work Environment / Physical Demands Considerations: ● The majority of work is completed at the location of employment in a laboratory type setting. ● Ability to make repetitive motions and manual manipulations of samples. Must be able to lift 25

Title: AI / Machine Learning Engineer Location: San Francisco, CA or Houston, TX, Charlotte, NC or Malvern, PA (Hybrid 3 days a week Tues- Thurs onsite) Duration: 06+month contract Job Description: Contract Description: Notes: Details of the request include: Must-have skill requirements of the role MCP, Model Armour , GCP Google AI tech stack Vortex, cloud, Python. Contract Description: • Hands-on experience with MCP (Model Control Platform) for managing machine learning models., • Proficiency in Model Armour for model governance and compliance., • Strong knowledge of Google Cloud Platform (GCP) and Google AI technologies., • Experience with Vortex for data integration and processing in cloud environments., • Proficient in Python for developing machine learning algorithms and data manipulation. Qualifications: • Bachelor’s degree in Computer Science, Data Science, or a related field., • Minimum of 3 years of experience in AI/ML engineering or related roles., • Strong problem-solving skills and the ability to work with complex datasets., • Excellent communication skills, with the ability to collaborate effectively in a team environment., • Demonstrated ability to learn new technologies quickly and adapt to evolving project requirements.

Work closely with Product and R&D teams to identify, prototype and scale new solutions or capabilities for the broader Marketing Science team. Lead the scoping and development of custom multi-study meta analysis in partnership with Data Science and R&D to understand the relative impact of di

BA/BS degree in Computer Science, Engineering, Data Science, or a related field. You will work closely with engineering and data science teams to ensure product execution and technical alignment. Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers

SENIOR DIRECTOR OF DATA SCIENCE Hybrid: 2-3 days onsite, San Francisco $240,000-280,000 Plus Bonus About the Company: This venture-backed digital health company is transforming how the biopharmaceutical industry navigates the patient journey for complex specialty therapies. Through a proprietary platform and deep domain expertise, the company unifies commercial, clinical, and channel data to deliver real-world insights that accelerate access, improve adherence, and drive better outcomes. By unlocking clarity in the specialty drug ecosystem, the company is making a measurable difference in patient care and setting new standards in real-world evidence and healthcare analytics. About the Role: The Senior Director of Data Science will lead a growing team of data scientists and analytics engineers in developing and delivering high-impact AI solutions. This is a true player-coach position: ideal for someone who’s ready to both roll up their sleeves and shape strategic direction. You’ll collaborate closely with Product, Customer Experience, and Solution Consulting teams to embed data science into core offerings and client engagements, helping leading biopharma companies make smarter, faster decisions. Key Responsibilities • Team Leadership: Mentor and lead a high-performing data science and analytics engineering team., • AI & Analytics Strategy: Own the roadmap for machine learning and advanced analytics across the company’s SaaS platform and service offerings., • Client-Facing Delivery: Guide the creation of impactful data science solutions for top biotech and pharma clients., • Product Innovation: Work with Product Development to integrate predictive and prescriptive analytics into platform features., • Technical Oversight: Ensure scalable, efficient data pipelines and architecture to support advanced use cases across diverse biopharma datasets., • Clear Communication: Present complex analyses as clear, actionable insights to technical and non-technical audiences., • Operational Excellence: Maintain code quality, compliance, and performance in a secure, multi-tenant cloud environment., • Continuous Innovation: Stay on the leading edge of AI, regulatory frameworks, and technology to drive ongoing platform evolution. What You’ll Need to Succeed Minimum Requirements • 3+ years leading data science or analytics teams., • 7+ years working with large-scale biopharma datasets, especially Commercial or Market Access data., • Expertise in machine learning (e.g., regression, NLP, time series, classification) and statistical analysis., • Strong programming skills in Python and SQL; experience with Snowflake and Snowpark., • Solid understanding of data modeling, ETL design, and orchestration frameworks., • Experience working in Agile environments (Scrum, Kanban)., • Excellent communication and stakeholder management skills., • Advanced degree (MS or PhD) in Data Science, Computer Science, Engineering, or a related quantitative field. Preferred Qualifications • Experience in AWS cloud environments., • Familiarity with specialty pharmacy workflows or reimbursement operations., • Knowledge of data privacy and compliance (HIPAA, GDPR, SOC, HITRUST)., • Experience building agentic or autonomous AI systems. Why Consider This Role • Mission-Driven Work: Use data science to improve patient access, adherence, and outcomes., • High Visibility: Work directly with executive leadership and top-tier biopharma clients., • Career Growth: Shape the future of data science at a fast-scaling health tech company., • Collaborative Environment: Join a passionate, inclusive team of healthcare and technology innovators., • Strong Compensation: Competitive salary, performance bonuses, equity opportunities, and full benefits. If you're ready to lead transformative AI efforts in healthcare, this is your opportunity to make a difference at scale.

Build and lead the Data Science and Engineering, Data-as-a-Service organization setting a clear vision and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challen

The Senior Analyst, Marketing Data Science, SMN, is an integral part of the Marketing Effectiveness team tasked with developing insights that enable Sephora to improve how marketing investments impact business results. You will work closely with our Retail Media Network team and brand marketing to d

While the degree focuses on the molecular sciences, its content is suitable for any student pursuing software engineering or data science roles in other science-based industries, or in other areas that require advanced machine learning, complex mathematical modeling and simulations, or high-performa

Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings.Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pr

We are looking for people at the Senior Director and Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI). As one of the world's leading digital transformation service providers, we are looking

We are seeking a seasoned and strategic leader to build and guide our Finance Data Science team. Strong business acumen, with deep experience applying data science to solve complex financial problems (e. Serve as the primary data science partner to the Finance leadership team.

Define and execute the data science vision and roadmap for innovation across the Lyft Business product suite, ensuring alignment with overall business strategy. PhD (preferred) or Master’s degree in a quantitative field such as Machine Learning, Computer Science, Statistics, Engineering, or a rela

Job DescriptionJob Description.Ethos was built to make it faster and easier to get life insurance for the next million families.Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones.We leverage deep technology and data science

Sia is a next-generation, global management consulting group.Founded in 1999, we were born digital.Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility.We’re optimists for change and we help clients initiate, navigate and

Statistics, Economics, Computer Science, or Engineering. Senior Data Science Manager, Mobile Ads – Remote. Director of Data Science Analytics for Advertising.

Collaborate with the data science team in the design and deployment of platform functionality that uses complex modeling techniques (e. Partner to product, engineering, data science and analytics, can confidently provide feedback on technical specs or PRDs, ask the right questions, and navigate trad

We are seeking an experienced and strategic Senior Director of Revenue Marketing to lead worldwide revenue marketing. Deep Cross-Functional Collaboration & Revenue Alignment: Foster seamless collaboration with key cross-functional partners, including Product Marketing, Comms, Sales, Data Science, an

Bachelor's degree in Marketing, Business, Statistics, Economics, Computer Science, or a related quantitative field.

Bachelor’s or graduate degree in Computer Science, Data Science, Engineering, or a related field. Join Adobe’s Customer Solutions (ACS) organization as a Senior Data Science Engineer, where we build intelligent tools, workflows, data pipelines, and models that help our customers thrive. Design,

Critical data in modern organizations is often sprayed across a broad set of cloud data silos, and it's a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Our AI-native platform spans sensitive data protection across SaaS, email, data exfiltr

The College connects the Data Science Undergraduate Studies program, Department of Electrical Engineering & Computer Sciences, Department of Statistics, the Berkeley Institute for Data Science, Computational Precision Heath, and the Center for Computational Biology. The College brings together facul

As the Marketplace Quality lead within the Brand Data Science team, you will be responsible for improving the quality of retailers’ experiences with products and brands on Faire, particularly by reducing egregious issues, such as counterfeit products, fulfillment delays, damaged and missing items,

Data Science Manager, Ads Horizontal Lead. You'll lead a Horizontal Data Science team, acting as an internal consultancy to empower our product, engineering, and business teams with accessible, reliable data and actionable insights. Data Science Manager, Ads Horizontal Lead.