Data scientist jobs in Hayward, CACreate job alerts

Query and analyze large datasets to uncover business insights and support decision-making. Master’s or PhD in Computer Science, Statistics, Data Science, or related field (or equivalent experience). We are committed to protecting your data.

Our client develops, manufactures and supplies a wide array of innovative medical diagnostic products, services, tests, platforms and technologies. Summary: Seeking a qualified and highly motivated individual for the role of Scientist II in BioSpecimen Acquisition and Management to support Culture Collection and Panel production activities. The BioSpecimen Acquisition and Management function is a centralized service function which supports the acquisition, characterization, and management of biological materials, as well as build of select panels for clinical research and cultivation and characterization of various Microorganisms and Mammalian cell lines. The Scientist II position will facilitate the daily operations associated with fulfilling service requests for Culture Collection and panel activities, while providing best-in-class simple biological solutions to our customers to drive innovation. Specific Responsibilities: • Under minimal supervision, executes assigned project activities using established procedures and applying scientific knowledge and accumulated experience to complete projects involving manipulating human cell lines, microorganism and/or other biological material., • Perform standard recombinant DNA techniques including cloning, restriction digestion, ligation, and transformation of bacteria., • Grow bacterial cultures under sterile conditions to ensure successful transformation and plasmid propagation., • Analyze plasmid DNA and RNA transcripts for purity, concentration, and quality., • Makes recommendations to resolve problems encountered while performing procedures., • Receives general direction; plans and executes own work. May act as a project lead., • Maintains an effective scientific knowledge base and effectively uses broad scientific concepts to resolve problems of moderate scope and complexity., • Analyzes alternative approaches to solve problems or develop new perspectives on existing solutions., • Responsible for the accuracy, quality, and timeliness of all assigned projects, tasks and related activities. Summarizes experimental results, and reviews conclusions with supervisor/project leader. May communicate the results of experiments in the form of reports and presentations., • Accountable for electronic records management and use of validated systems ensuring information is recorded in a timely manner, accurately and consistently., • Performs work according to established internal safety guidelines and procedures, and as specified by appropriate external regulatory agencies (e.g., OSHA)., • Participates in routine lab maintenance, lab safety, ISO, and QSR implementation. Position Requirements & Experience: • Bachelors degree in Molecular Biology, Cellular Biology, or Microbiology or related field and 4+ years of relevant experience., • Masters Degree in Molecular Biology, Cellular Biology, or Microbiology or related field and 2+ years of relevant experience., • Experience with aseptic techniques and bacterial culture or cell culture., • Must be able to manually manipulate samples (plating, pipetting, labeling and vialing) on a routine basis., • Experience with cloning techniques including plasmid design and preparation, restriction enzyme digestion, ligation and bacterial transformation and processing., • Experience in performing nucleic acid extractions (DNA/RNA), quantification, amplification and characterization using Qubit, Nanodrop, Gel electrophoresis, PCR machines etc., • Must be able to work in a laboratory environment on a daily basis under BSL-2 laboratory conditions. May work a variety of infectious human material (HxV, pathogenic bacteria, or engineered material, etc) and sample types (blood, serum, urine, stool etc)., • Must be able to work in a dynamic and collaborative team environment with multiple stakeholders across the organization., • Understanding of good laboratory, data and documentation practices., • Ability to plan work and determine next steps within the context of an overall project., • Competent with Microsoft Office and Google applications, • Experience with LIMS software, eLN and JMP (Preferred)., • Client facing experience is a plus. Personal Characteristics & Cultural Fit: • Must be well organized and meticulous., • Flexibility with respect to projects, unique biological material handling requirements, and meeting client/organizational goals and expectations., • Good written and verbal communication skills. Able to follow written and verbal instructions., • Truly passionate about the importance of biorepository management, as well as the ability to work in a global, matrix environment., • Demonstrated aptitude in cross-functional collaboration., • Results and goals oriented.

Lead Data Scientist - Personalization & Recommendation Engines Location: SF Bay Area - Hybrid (3 days/week onsite) Salary: $200-260k base + Equity A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You'll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale. What You’ll Do • Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement., • Own the ML development process—from data exploration and feature engineering to model training, deployment, and post-launch optimization., • Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives., • Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform., • Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion. What You Bring • 7–10 years of experience building, deploying, and maintaining ML models at scale., • Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow., • Proven track record in consumer tech or large-scale marketplaces companies., • Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms., • Background in user behavior modeling, search relevance, or real-time data systems., • Strong foundation in experimentation (A/B testing), statistics, and applied ML., • Exceptional communication skills and the ability to translate technical insights into business value., • Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

Staff Machine Learning Scientist Location: SF Bay Area - Hybrid (3 days/week onsite) Salary: $275-325k base + Equity A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You'll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale. What You’ll Do • Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement., • Own the ML development process—from data exploration and feature engineering to model training, deployment, and post-launch optimization., • Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives., • Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform., • Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion. What You Bring • 7–10 years of experience building, deploying, and maintaining ML models at scale., • Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow., • Proven track record in consumer tech or large-scale marketplaces companies., • Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms., • Background in user behavior modeling, search relevance, or real-time data systems., • Strong foundation in experimentation (A/B testing), statistics, and applied ML., • Exceptional communication skills and the ability to translate technical insights into business value., • Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

Job Description Title: Scientist Location: Hayward, CA Reports To: Group Leader Company Frontage Laboratories Inc. is an award winning, publicly listed, full-service CRO/Contract Research Organization operating over 25 state-of-the-art laboratories across the US, Canada, and China, growing significant growth. Our core competencies include pre-clinical, drug metabolism, pharmacokinetics/ pharmacodynamics (PK/PD), safety and toxicology, bioanalytical services, chemistry and manufacturing controls for drug development, and core laboratory services for clinical trials. Position/Job Summary We are seeking a highly motivated and experienced Scientist specializing in LC-MS/MS to join our dynamic team. This individual will play a pivotal role in quantitative bioanalysis and the characterization and identification of drug metabolites, contributing to our understanding of DMPK (Drug Metabolism and Pharmacokinetics) and its impact on drug safety and efficacy. Roles & Responsibilities • Develop and optimize sample preparation and analytical methodology for quantitative measurement of drugs in a variety of modalities and metabolite profiling/identification using state-of-the-art LC-MS/MS and high-resolution mass spectrometry (HRMS)., • Lead and execute LC-MS/MS-based projects in a timely and high-quality manner.Interact with clients to provide actionable insights on method development and sample analysis-related challenges., • Operate, maintain, and troubleshooting LC-MS/MS instruments; serve as instrument lead as needed., • Prepare and review scientific reports, presentations, and regulatory documents to ensure accuracy and compliance with industry standards., • Stay updated on advancements in LC-MS/MS technologies and methodologies., • Collaborate with cross-functional teams and provide technical guidance when needed., • Mentor and train junior lab staff. Education, Experience & Skills Required • Ph.D. in Chemistry, Biochemistry, Pharmaceutical Sciences, or a related field., • Solid hands-on experience with LC-MS/MS-based bioanalytical method development including sample preparation, instrument operation and data processing., • Proven track record operating LC-MS/MS systems in a bioanalytical lab, • Strong expertise in drug metabolism and biotransformation, with hands-on experience in metabolite identification using LC-MS/MS and HRMS., • Demonstrated ability to analyze and interpret complex mass spectrometry data and provide detailed reports., • Excellent communication skills and ability to work both independently and collaboratively in a cross-functional team environment. Frontage Laboratories offers a competitive compensation and generous benefits package including health and dental insurance, a 401(k) plan, health insurance, short and long-term disability insurance, life insurance etc Frontage Laboratories Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Job Description Title: Senior Scientist, Bioanalytical Services Location: Hayward, CA Reports To: Senior Director, Bioanalytical Services Company Frontage Laboratories Inc. is an award winning, publicly listed, full-service CRO/Contract Research Organization operating over 25 state-of-the-art laboratories across the US, Canada, and China, growing significant growth. Our core competencies include pre-clinical, drug metabolism, pharmacokinetics/ pharmacodynamics (PK/PD), safety and toxicology, bioanalytical services, chemistry and manufacturing controls for drug development, and core laboratory services for clinical trials. Position Summary: We are seeking a detail-oriented and highly collaborative Senior Scientist to support client-driven projects using advanced bioanalytical techniques. The successful candidate will manage diverse bioanalytical tasks, ensure project timelines are met, and effectively communicate with project managers, clients, and internal teams. Responsibilities: • Validate unique scientific methods, assays, techniques, reports, etc. Run sensitive, reliable and efficient LC-MS/MS bioanalytical assays for nonclinical/clinical TK/PK assessment, • Perform high-volume sample analysis and/or data analysis, data QC, and data interpretation, • Maintain schedule of projects and timelines, • Communicate project timelines, status, and data to Principle Investigator effectively addressing any issues that may arise, • Simultaneously handle method development routine sample analysis projects as required. Coordinate study activities with Principal Investigator to ensure efficiency and quality, • Ability to work on multiple projects at the same time, • Coordinate with Project Management and QC for timely sample analysis and results assessment Aid in the preparation of study summaries and/or reports, • Maintain the proper level of regulatory compliance for each study, helping to address QA audit findings, • Maintain tools, computer programs, and SOPs required for studies. Research literature and external sources and identify new techniques and procedures that strengthen Frontage’s capabilities, • Help with training and/or mentoring of junior scientific staff. Ensure that GLP regulations and SOPs are followed in all bioanalytical service activities, • Set-up, utilize, and maintain complex instrumentation Follow safety precautions, • Responsible for overall bioanalytical study conduct, timeline, and communications., • Acts as a primary point of study contact, • Responsible for the scientific and compliance conduct of the study from sample receipt through analysis and reporting including archiving and sample disposition and revenue recognition., • Responsible for all technical related discussion and method development, validation and sample analysis., • Direct, schedule, and mentor lab scientists on projects assigned, and results, • Understanding of experimental design and planning, data collection, and analysis software, • Experience using Sciex Analyst software, and Watson LIMS, a plus, • Proven ability to successfully work in a team environment. Excellent oral and written communication skills Frontage Laboratories offers a competitive compensation and generous benefits package including health and dental insurance, a 401(k) plan, health insurance, short and long-term disability insurance, life insurance etc. Frontage Laboratories Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Job DescriptionSalary: Data Scientist (Dublin, CA) SavvyMoney is a leading San Francisco East Bay fintech company. We provide integrated credit score and personal finance solutions to 1,500 + bank and credit union partners nationally. The SavvyMoney solutions integrate with more than 43 digital banking platforms. SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company. Were headquartered in Dublin, CA, and offer a flexible hybrid work environment that blends in-office collaboration with the freedom of remote work. We are seeking a seasoned Data Scientist to join our team and lead initiatives in predictive modeling, personalization, and AI-driven financial recommendations. This individual will play a key role in building models that power personalized marketing, loan offers, credit improvement strategies, and next-best-action recommendations. The role requires expertise in data analysis to uncover business opportunities, traditional machine learning methods (tree-based models, neural networks) and emerging techniques, including Large Language Models (LLMs). You will collaborate closely with engineering to deploy models into scalable, low-latency production environments, as well as work with business and product stakeholders to generate ad-hoc analytics and actionable insights. Responsibilities • Perform exploratory and statistical data analysis to identify opportunities for model development and business optimization, • Design, build, and optimize machine learning models for:, • Marketing propensity modeling, • Personalized loan offers and recommendations, • Next-best-action predictions for improving credit scores, • Prototype solutions using advanced AI techniques to accelerate experimentation, • Partner with engineering teams to productionize models in a scalable and latency-conscious environment, • Query and analyze large datasets to uncover business insights and support decision-making, • Collaborate with business and product stakeholders to define problems, scope analyses, and deliver ad-hoc reports and dashboards, • Develop reusable frameworks, pipelines, and tools to accelerate model development and deployment, • Document methodologies, models, and assumptions to ensure clarity, reproducibility, and knowledge sharing, • Follow ethical AI principles and established guardrails to ensure fairness, transparency, and unbiased predictions. Experience • Masters or PhD in Computer Science, Statistics, Data Science, or related field (or equivalent experience), • 6+ years of professional experience in data science or machine learning, ideally in fintech, financial services, or a B2B2C environment, • Strong proficiency in SQL and Python (pandas, scikit-learn, PyTorch, TensorFlow, XGBoost, etc.), • Hands-on experience with tree-based models (XGBoost, LightGBM, CatBoost) and neural networks, • Proficiency in notebooks (Jupyter, Colab, etc.) and deep learning frameworks such as TensorFlow and PyTorch for model development, • Familiarity with LLMs and generative AI frameworks (HuggingFace, LangChain, OpenAI APIs, etc.), • Experience deploying machine learning models into production environments with considerations for scalability and latency, • Strong business acumen with the ability to translate complex analytical outputs into actionable recommendations, • Excellent communication skills to collaborate with both technical and non-technical stakeholders Preferred Experience • Experience with cloud-based platforms (AWS, GCP, or Azure) for model training and deployment, • Knowledge of MLOps tools and practices (MLflow, Airflow, Kubeflow, Docker, etc.), • Understanding of credit risk modeling, financial products, or consumer lending., • Experience working with APIs, real-time scoring, and event-driven architectures. Why Join Us? • High Impact: Your models will directly shape how people access loans, improve credit scores, and receive personalized financial recommendations, • Innovation-First Culture: From tree-based models to neural networks and LLMs, youll have the freedom to prototype with state-of-the-art techniques and put them in action, • Cross-Functional Collaboration: Work closely with product, engineering, and business leaders to take ideas from prototype to production., • Mission-Driven: Help democratize financial wellness and unlock opportunities for millions. Base Salary The annual base salary for this position is between $160,000 to $185,000 depending upon experience. Additionally we provide • Annual Bonus potential, • Equity compensation package, • Flexible Time Off Policy (Take time as you need it), • 401(k) with Employer contribution, • Medical, Dental, Vision 100% premium paid for employee, • Opportunity for career growth and challenge, • Beautiful California East Bay offices in Dublin, CA SavvyMoneys EEO Statement SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer. We are committed to protecting your data. To learn more, please review the SavvyMoney Employee Privacy Policy Notice here

• Position: Engagement Manager Credit Modeling, • Experience: 8+ years of Modeling experience within the Banking or FinTech industry, • Team Management: Ability to lead a team of approximately 4 offshore members, • Location: San Francisco (2-3 days/week in-office), • Salary: Base + 15% variable bonus Role and Responsibilities: We are seeking a highly skilled and experienced Machine Learning Modeling Lead to join our ML Model Innovation team within the banking domain (digital lending). The ideal candidate will be responsible for leading the development and deployment of machine learning models that power key business decisions such as collections models, credit risk scoring, fraud detection, customer segmentation, and personalized financial services. The Individual needs to have strong knowledge of banking business, data and domain across the customer lifecycle as well as bureau data. They will collaborate with cross-functional teams and provide technical leadership to junior ML modelers and data scientists. Key Roles and Responsibilities - • Lead end-to-end ML solution development & innovation from data exploration, feature engineering, model development, validation, deployment, and monitoring., • Develop robust models which can drive business benefits. Support and review junior scientist submissions and share enhancement suggestions, • Responsible for documentation/documentation reviews, model reviews and submission, • Responsible for managing queries raised by Validation teams for the model, • Collaborate with implementation teams to deploy models into production environments (cloud or on-premises)., • Work closely with business stakeholders to translate banking domain challenges into data-driven solutions., • Guide junior data scientists and engineers on best practices in model development and MLOps, • Continuously evaluate new tools, technologies, and frameworks relevant to ML in finance., • Publish internal research and promote a culture of innovation and experimentation. Candidate Profile: • Strong business knowledge of banking analytics across the retail banking customer lifecycle., • 8+ years of experience in applied machine learning model development in the banking or financial services domain., • Hands-on experience leading ML projects and teams., • Strong experience with model development, deployment and monitoring in production environments., • Familiarity with collections, underwriting, fraud and ethical considerations in banking ML models., • Demonstrable leadership ability, superior problem solving and people management skills, • Masters or Similar in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field Skills: • Expert in Python, SQL, ML libraries (Numpy, Pandas, Scikit-learn, TensorFlow, PyTorch) and techniques (Regression, Decision Trees, Ensembles: XGBoost, GBM, Random Forest, Unsupervised Learning, etc.)., • Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, Docker, Kubernetes) is added benefit., • Strong grasp of statistical modeling, optimization, and deep learning techniques., • Excellent communication skills and ability to explain complex concepts to non-technical stakeholders.

Job DescriptionTitle: Research Assistant Location: Hayward, CA Reports To: Group Leader Status: Full- Time Company Frontage Laboratories Inc. is an award winning, publicly listed, full-service CRO/Contract Research Organization operating over 25 state-of-the-art laboratories across the US, Canada, and China, growing significant growth. Our core competencies include pre-clinical, drug metabolism, pharmacokinetics/ pharmacodynamics (PK/PD), safety and toxicology, bioanalytical services, chemistry and manufacturing controls for drug development, and core laboratory services for clinical trials. Position/Job Summary: This position will support experiment design, data collection, analysis, troubleshooting, and data reporting within the DMPK department. This includes gathering data on pre-clinical compound parameters using a variety of techniques, organizing and processing the data using statistical and analytical methods to reach meaningful conclusions, and reporting observations to clients and other decision-makers. Roles & Responsibilities: • Report to the senior team leader., • Work and collaborate daily with a group of scientist and associates within the DMPK department., • Maintain a detailed laboratory notebook., • Develop compound methods and collect data using LC-MS/MS and other instrumentations (HPLC, spectrophotometry, etc.), • Conduct day-to-day testing of compounds in biological matrices and/or other solvent systems in a team-oriented environment., • Analyze and interpret data using different software programs (Sciex Analyst, DiscoveryQuant, GraphPad prism, MS Excel, etc.), • Prepare reports and communicate with collaborators and clients., • Multitask, recognize problems, provide input to solutions, draft reports, and communicate results proficiently with clients and in lab meetings., • Contribute to basic lab maintenance such as preparing buffers, cleaning, ordering, stocking, and follow-up., • Communicate and work closely with other groups to finish collaboration projects in a timely manner., • BS or MS in biology, chemistry, or related area., • 0-2 years of related experience in the biotech, pharma or preclinical CRO industry. Working experience with LC-MS/MS, HPLC, bioanalytical studies preferred., • Strong problem solving and troubleshooting skills with demonstrated ability to resolve complex situations that require a logical, analytical and methodical approach., • Self-motivated to multitask, initiate projects, and work both independently and in a team environment to meet deadlines, • Excellent organization and planning skills with attention to detail., • Committed to customer satisfaction and focused on the importance of quality., • Excellent interpersonal and communication skills., • Hands-on exposure to general biotech laboratory equipment. A preferred candidate will have a good understanding and knowledge of laboratory tools, techniques, methods, and underlying principles, • May work with potentially infectious samples of human and/or animal origin (i.e. blood, tissues, etc.). Frontage Laboratories offers a competitive compensation and generous benefits package including health and dental insurance, a 401(k) plan, health insurance, short and long-term disability insurance, life insurance etc Frontage Laboratories Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Our ads business is entering an exciting growth phase, and we need a Senior Data Scientist who's passionate about building advertising technology that respects our users while delivering real value to brands. Background mentoring junior data scientists or leading technical initiatives. We're looking

Anthro Energy is seeking an Electrolyte Data Scientist to drive data- and model-based innovation in electrolyte formulation for next-generation batteries. Communicate findings through technical presentations and data reports, driving decision-making in R&D and product. Chemistry, Chemical Engineerin

The Data Scientist is responsible for identifying data science needs and developing and documenting solutions, reports, dashboards, and performing data governance tasks in support of DNWest business intelligence strategies for all business units across DNWest. The Data Scientist will also be involve

Anthro Energy is seeking an Electrolyte Data Scientist to drive data- and model-based innovation in electrolyte formulation for next-generation batteries. Proficient in Python (pandas, NumPy, scikit-learn, Tensorflow, PyTorch, Bayesian Optimization) and SQL for data manipulation and analysis. This r

BLEND360 is an award-winning, new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500 clients. We are a fast-growing company—born at the intersection of advanced analytics, data and technology. Demonstrated ability to align product, engineering, data sci

Seeking Founding Data Scientists and Machine Learning Engineers. You've unlocked major wins in your career - you've shipped models, moved key metrics, and proved what great data science and machine learning can do. Palladio AI is the intelligence layer between raw data and decisive action, surfacing

Analytics Data Scientists leverage their deep analytical skills and product intuition to solve a wide array of complex problems — from strategic analysis to dashboard creation and experimentation design and analysis. Collaborate with data and engineering teams to design scalable and future-proof i

As a Data Scientist on Liftoff’s Product Analytics team, you’ll transform complex data into rigorous analysis that directly shapes product strategy and machine learning development. This role is ideal for someone who thrives in a fast-moving, data-rich environment, enjoys both building data appl

Headquartered in New York City, Take-Two Interactive Software, Inc.We develop and publish products principally through Rockstar Games, 2K, and Zynga.Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business model

We are looking for a seasoned data scientist who excels at data analysis, statistics, data-centric research, reporting, and problem solving with data. Systematize the use of data everywhere by working on things problem-by-problem and putting in place the metrics, dashboards, and data interrogation f

Lead Data Scientist - Personalization & Recommendation Engines. A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. Own the ML development p

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Lead Data Scientist - Personalization & Recommendation Engines. A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. Own the ML development p

As they expand their product offerings and real-time capabilities, they're looking to bring on a skilled Data Scientist to help power their next generation of predictive systems. In this role, you'll be working with a cross-functional team to build and deploy data models that influence key product a

Lead Data Scientist - Personalization & Recommendation Engines. A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. Own the ML development proce

As they expand their product offerings and real-time capabilities, they're looking to bring on a skilled Data Scientist to help power their next generation of predictive systems. Data Science, ML, or similar technical role. Strong understanding of time-sensitive or high-frequency data environments.

Lead Data Scientist - Personalization & Recommendation Engines. A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. Own the ML development proce

Compare source document data with database reports to detect errors and ensure completeness and conformity with established policies and procedures. This position is responsible for reviewing insurance policy documents for accuracy, completeness, and adherence to established standards and entering

Lead Data Scientist - Personalization & Recommendation Engines. A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. Own the ML development proce

Own the end-to-end data pipeline — from game client ingestion to data lake storage and visualization tools. Proven experience creating and maintaining data pipelines, data lakes, and integrating visualization tools (e. Azra Games is looking for a Senior Backend (Data) Engineer who will play a key

Lead Data Scientist - Personalization & Recommendation Engines. A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. Own the ML development proce

To make that magic happen, we rely on a robust and flexible data infrastructure—especially when data lives outside traditional warehouses. Build and maintain scalable data pipelines that ingest data from backend systems and services, including Kafka-based event streams. Collaborate on data modelin

The Data Engineer will collaborate with data content experts, analysts, epidemiologists, data scientists, data modelers, warehouse architects, IT staff and other organization staff to design and implement proposed solutions and architectures that meet the needs of the public health agency. Collabora

Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way. Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership. Ident

Knowledge of data management, data validation, and data privacy. Manage test data, including data collection, preparation, and validation, to ensure data quality and relevance for testing. Collaborate with data scientists and AI developers to validate AI models against benchmarks and industry standa

This is a strategic role for an experienced data engineering professional who will design and optimize enterprise-scale data pipelines, supporting cross-functional teams and business-critical systems. We are currently looking for a Staff Data Engineer in California (USA). Experience with relational

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams.By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the

Design, develop, and support ETL pipelines, operational data stores, data lakes, and data marts using Azure and related tools. Familiarity with data governance, data quality, and master data management practices is a plus. Minimum of 5 years of IT experience with at least 3 years working with Azure

Experience building and architecting large-scale, production quality backend systems, especially in applied machine learning or data pipeline. Provide tooling to help ML practitioners evaluate, debug, and improve ML algorithms, data and hyperparameters. Collaborate with and support other teams, incl

In this role, you’ll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to bot

Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals. Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks,

Transform unstructured data sets provided by clients into structured data which can be ingested into our products data processing pipeline to calculate carbon emissions. Provide guidance on what additional data is required to enrich raw data sets for footprint measurement. Skills in writing SQL quer

Join our growing HRIS team as a Data Analyst I, where you'll play a crucial role in maintaining and organizing our compensation data systems. Position Code Management: Create and maintain unique position codes for all employee roles, ensuring accurate identification for compensation adjustments an

The Strategic Data Analyst supports data-driven decision-making across the organization by extracting, analyzing, and interpreting complex datasets to inform high-impact business strategies. Demonstrated experience working with large datasets, performing data modeling, and developing analytical solu

Analyze compensation data and support the rollout of market-based pay adjustments. Pull market data and collaborate with third-party vendors for benchmarking and compensation studies. Provided compensation data is subject to change based on location and work status.

As a Data Engineer, you will directly enable efficiency, scalability, and data-driven decision-making by designing, building, and maintaining reliable data pipelines and centralized reporting systems. Exposure to data governance, MDM (master data management), or data cataloging. As a Data Engineer a

Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks.

Join our growing HRIS team as a Data Analyst I, where you'll play a crucial role in maintaining and organizing our compensation data systems. Position Code Management: Create and maintain unique position codes for all employee roles, ensuring accurate identification for compensation adjustments an

Experience in at least one of: robotics research in motion planning, trajectory optimization, planning under uncertainty, probabilistic robotics, data analysis at scale, machine learning at scale.