Data scientist jobs in Santa Rosa, CaliforniaCreate job alerts

About Company :: Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many others About the Role We are looking for a Senior Manager of Data Science to lead the end-to-end design, development, and deployment of advanced machine learning solutions for supply chain demand forecasting and root cause analysis. This is a hands-on leadership role — you will architect the analytical framework, guide a cross-functional team of data scientists, and serve as the primary technical interface with senior stakeholders. Required Qualifications Experience • 12–15 years of progressive experience in data science, machine learning, or quantitative analytics — with at least 4 years in a lead or management role, • Proven track record delivering end-to-end ML pipelines in production environments — from raw data through model deployment and monitoring, • Hands-on experience with demand forecasting, supply chain analytics, or operations research in an industrial, manufacturing, or distribution context, • Demonstrated experience leading cross-functional analytics teams, including offshore or distributed team members, • Experience presenting complex analytical findings to C-level and VP-level stakeholders with measurable business impact Technical Skills • Expert-level proficiency in Python: scikit-learn, XGBoost, LightGBM, statsmodels, pandas, numpy, scipy, • Deep expertise in ensemble methods — gradient boosting (GBM, XGBoost, LightGBM) and random forest variants including quantile regression forests, • Proficiency in probabilistic forecasting: quantile regression, prediction interval construction and calibration, Winkler scoring, pinball loss, • Strong statistical foundation: hypothesis testing, KS tests, distribution shift detection, time-series analysis (ACF, PACF, change-point detection), • Experience with feature engineering for time-series and supply chain data: lag features, rolling statistics, Fourier encoding, interaction terms, • Proficiency with experiment tracking and MLOps tooling (MLflow, DVC, or equivalent); familiarity with CI/CD for ML pipelines, • Ability to write and review production-quality Python code; experience with SQL for data extraction and transformation, • Familiarity with cloud platforms (AWS, Azure, or GCP) for model training, deployment, and scheduled execution Education • Master's degree or PhD in Data Science, Statistics, Machine Learning, Operations Research, Industrial Engineering, or a related quantitative field, • Bachelor's degree in a quantitative discipline with equivalent industry experience considered Preferred Qualifications • Experience with intermittent demand modelling: Croston method, Syntetos-Boylan Approximation (SBA), ADI-CV² classification, • Familiarity with Forecast Value Add (FVA) frameworks and multi-layer forecast override governance, • Experience with inflection point detection and structural break analysis in demand time series, • Background in consulting or professional services — experience running client-facing analytical engagements with gate reviews and formal deliverables, • Familiarity with S&OP (Sales and Operations Planning) processes and integrated business planning cycles, • Experience deploying analytical tools in enterprise environments with IT security and compliance constraints, • Publications, conference presentations, or open-source contributions in ML, forecasting, or supply chain analytics People & Delivery Leadership • Lead, mentor, and develop a team of 3–6 data scientists across US and India; provide technical guidance, career development support, and performance feedback, • Define team roadmap, prioritise work streams, and ensure on-time delivery against project milestones — including intermediate client-facing outputs at each analytical phase, • Collaborate closely with the India-based Lead Data Scientist to ensure seamless coordination across time zones; act as the primary technical escalation point for the offshore team, • Conduct design validation workshops, cluster review sessions, and gate reviews with business stakeholders at each phase of the analytical cycle, • Translate complex ML findings into business-language reports and executive presentations, clearly communicating what was found, why it matters, and what action to take Privacy Notice Declarations for California based candidates/Jobs::

Lead Data Scientist San Francisco, CA (Hybrid – 3 days/week) Salary: $170-190,000 base + equity Contact: A fast-growing, tech-driven healthcare platform is seeking a Lead Data Scientist (AI/ML) to help build and scale next-generation AI products that support medical professionals at scale. The Opportunity You’ll work with massive, real-world datasets to design, optimize, and evaluate AI-driven products used by healthcare professionals nationwide. This role sits close to product and leadership, with the opportunity to influence both technical direction and product strategy. What You’ll Do • Build, train, and optimize machine learning and AI models powering core product features, • Work with large-scale datasets to generate insights and improve model performance, • Partner with product, engineering, and analytics teams to define and execute data-driven initiatives, • Design and implement experimentation frameworks to evaluate model and product performance, • Translate complex technical outputs into clear, actionable insights for stakeholders, • Contribute to the broader data and AI strategy, helping shape future product direction What We’re Looking For • Strong foundation in statistics, including experimentation, probability, and exploratory analysis, • 5+ years of experience in data science, machine learning, or related roles working with large, complex datasets, • Hands-on experience building and deploying machine learning models in production, • Experience with modern ML techniques, including deep learning and LLMs (e.g., fine-tuning, evaluation), • Proficiency in Python and SQL, with strong coding and data manipulation skills, • Experience with scalable data processing (e.g., distributed systems, large-scale pipelines), • Ability to communicate technical insights clearly to non-technical stakeholders, • Strong product mindset with a focus on driving measurable impact Why This Role? • Work on AI products with real-world healthcare impact, • Access to large-scale, proprietary datasets, • Highly collaborative, product-driven environment, • Opportunity to shape AI strategy at scale, • Competitive compensation: $170K–$248K total comp (base + equity)

Kadence is partnered with a AI first healthcare company building agentic systems for medical coding. We are looking for an Applied Scientist with strong LLM reasoning and agents background. We need a coder and platform builder, who also has strong research background. Target Compensation is between $160k-220k base (depending on experience), plus equity. Location is Bay Area, SF (hybrid ) What you’ll do • Improve LLM reasoning using post-training (SFT, RL), • Build agentic systems (multi-step, real-world tasks), • Design evaluation frameworks to measure model quality, • Optimize models for performance + cost efficiency What we’re looking for • Strong ML/NLP background with LLMs or transformers (1.5 years+ industry exp.), • Experience with RL, fine-tuning, or evaluation of models, • Solid Python + PyTorch (or similar), • Track record of turning research into real impact, • Ph.D. required in Computer Science, Mathematics, Physics background or similar Bonus • Synthetic data, retrieval systems, or long-context models, • Experience with scalable ML systems

⚡ Recruiting Partner 🌎 San Francisco Bay Area, USA (onsite) 💸 $120,000 - $180,000 salary + bonus The role Recruiting Partner with approximately 8+ years of experience in the technology ecosystem. This is not a typical "recruiter" role; it is a critical operational position that combines high-level PhD/Research Scientist sourcing with the rigorous, high-volume coordination required to scale a top-tier lab. In a high-growth environment, the "bottleneck" is often the schedule. You will be the architect of our candidate experience, ensuring that every interview loop—no matter how complex or cross-continental—runs with "white-glove" precision. Responsibilities: 1. High-Volume Coordination & Scheduling (Primary Focus) • The "Scheduling Engine": Manage the complex, multi-stage interview calendars for all regional and international roles. This includes coordinating across multiple time zones., • Panel Optimization: Work with People Operations and Team Leads to ensure interview panels are balanced, diverse, and technically aligned. -Candidate Experience: Act as the primary point of contact for candidates, ensuring they are briefed, prepared, and supported from initial outreach to offer. 2. Full-Cycle Research Recruiting • Strategic Sourcing & Market Mapping: Conduct deep-market research and mapping to identify and engage world-class PhD talent across core and emerging AI domains, including Reinforcement Learning (RL), Post-training, Vision-Language Models (VLM), Diffusion, World Models, and Infrastructure., • End-to-End Search Management: Lead the full recruiting lifecycle from initial intake sessions with hiring managers to final closing. Develop tailored hiring strategies for niche research roles., • Stakeholder Management: Partner directly with Research Leadership and Team Leads to define role requirements, refine job descriptions, and calibrate candidate profiles through regular feedback loops., • Consultative Candidate Management: Serve as a brand ambassador and consultant to candidates, articulating the lab’s unique mission and technical roadmap to convert high-passive talent. 3. Talent Operations & Infrastructure • Compliance & Audit Readiness: Ensure all recruiting processes, documentation, and data tracking are fully compliant with federal and state labor laws (e.g., EEO, CCPA, and relevant California labor codes). Maintain an "audit-ready" environment for all hiring records and candidate data., • ATS Mastery: Take full ownership of our Applicant Tracking System. Ensure 100% data integrity, manage the referral pipeline, and provide weekly "Health of the Pipeline" reports to leadership., • Process Building: Evaluate and improve our hiring workflows. You will build the templates and playbooks that allow us to scale significantly., • Brand Ambassadorship: Help represent the lab at top-tier conferences to build our local and global talent brand. Requirements: • 8+ Years of Experience: Proven track record in Talent Acquisition, specifically within high-growth AI labs or Tier-1 tech firms., • Research Literacy: You must understand the difference between a "Software Engineer" and a "Research Scientist." Familiarity with the ML research ecosystem and PhD hiring cycles is essential. • Mastery of Complexity: Exceptional organizational skills. You should thrive in the "logistical puzzle" of scheduling multiple complex interview rounds per day without errors. -Communication: Ability to communicate with high-seniority executives and elite academic researchers with professional poise. • Tools: Expert-level proficiency in modern ATS platforms (experience with Lever is a significant plus), LinkedIn Recruiter, and productivity suites. Why apply: • Opportunity to build out a new division at the forefront of AI innovation, • FAANG competitive salary & package, • Work alongside superstars from FAANG labs & leading AI companies, • Medical, Dental and Vision Insurance, • Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply’ button or alternatively email me your resume at

Our On-Demand Talent Solutions team is partnering with our trusted client to identify a Director-level Clinical Scientist. Our client is a biopharmaceutical company developing next-generation targeted therapies for cancer. This role is ideal for a drug development professional passionate about translating innovative science into meaningful clinical outcomes. Summary: The Clinical Scientist will lead aspects of protocol development, study planning, data generation, analysis, and reporting as well as work cross-functionally to deliver high-quality data and insights that move programs forward. Responsibilities: • Lead design and execute clinical deliverables to support the CDP, including INDs, protocols, IBs, and study documents (CRFs, SAPs, data listings)., • Oversee clinical data generation, validation, and review, including query resolution, patient eligibility, and protocol deviation management., • Perform study subject-level data analysis to inform clinical development strategy and reporting., • Partner with medical teams, advisors, and Health Authorities, including support for HA/IRB interactions and responses., • Contribute to therapeutic area research, KOL/investigator engagement, and development of scalable clinical processes. Qualifications: • A minimum of 8 years of relevant experience and an advanced degree (PharmD, MD, MSN, PA, MPH, etc.), • Strong background in small molecule therapies and oncology clinical development., • Experience in early phase clinical trials.

We are hiring a Senior Associate Scientist to review analytical data and electronic notebook entries for accuracy and adherence to SOPs. This is a fully remote part-time position with flexible working hours that requires strong organizational skills, clear communication, and a high level of attention to detail. This is a 12-month contract position offering 20-30 hours per week. Responsibilities • Review analytical assay data for adherence to SOPs and accuracy., • Review electronic notebook entries for completeness and accuracy., • Track shipping details for vendor-supplied samples., • Draft and update data analysis templates to reflect new and updated analytical methods and for continuous improvement., • Maintain organized records of review status of notebook entries and analytical data., • Contribute to reports, certificates, and other documentation supporting process development., • Collaborate effectively with team members and contribute to cross-functional activities. Qualifications • BS degree in Chemistry, Biochemistry, or related field with minimum 5 years of industry experience, or MS degree with minimum 3 years of industry experience., • At least 2 years of experience in an analytical development or quality control role., • Prior experience running colorimetric assays is required., • Prior experience with SEC-MALS is required., • Prior experience with SDS-PAGE is required., • Excellent attention to detail, organizational skills, and record-keeping abilities., • Ability to work both independently and collaboratively in a fast-paced environment., • Commitment to integrity, professionalism, and safety in all aspects of work. Pay • $56.00-$62.00/hr R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer.

About Company :: Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many others About the Role We are hiring a Lead Data Scientist to be the primary technical engine of our supply chain demand forecasting and root cause analysis platform. This is a hands-on senior individual contributor role with significant ownership — you will implement, validate, and maintain the full ML pipeline, working closely with the US-based Senior Manager. Required Qualifications Experience • 9–12 years of hands-on experience in data science or machine learning — with a strong emphasis on Python-based ML engineering in production environments, • 3+ years of experience with time-series forecasting or supply chain analytics in a commercial context, • Demonstrated experience building end-to-end ML pipelines from raw tabular data through model output and reporting — not just notebook prototyping, • Experience working in cross-functional teams with stakeholders across business, IT, and analytics; ideally in a consulting or professional services environment, • Track record of delivering high-quality, well-documented, reviewable code in a team setting Technical Skills • Expert-level Python: scikit-learn, pandas, numpy, scipy, joblib — able to write production-grade, optimised code for large datasets, • Deep hands-on experience with ensemble methods: gradient boosting (GBM, XGBoost, LightGBM) and Random Forest — including hyperparameter tuning and performance diagnostics, • Proficiency in quantile regression and probabilistic forecasting: building tree-level percentile prediction intervals, measuring PI coverage (Winkler score, pinball loss), and detecting quantile crossing violations, • Strong statistical skills: KS 2-sample tests, ACF/PACF analysis, change-point detection, IQR outlier detection, Pearson/Spearman correlation, • Proficiency with SQL for data extraction, transformation, and validation, • Familiarity with version control (Git), experiment reproducibility (SEED management, config-driven pipelines), and collaborative development workflows Education • Master's degree or PhD in Data Science, Statistics, Computer Science, Machine Learning, Operations Research, or a related quantitative field, • Bachelor's degree with equivalent industry experience in a quantitative discipline considered Privacy Notice Declarations for California based candidates/Jobs::

🔸 AI / ML Research Scientist | AI for Scientific Discovery (AI x Bio) 🔸 Competitive Base + Meaningful Equity 🔸 Hybrid (San Francisco) 🔸 AI-First Scientific R&D Company 👉 PLEASE FOLLOW THE KENKOTECH PAGE AND CONNECT WITH THE JOB POSTER We’re working with a well-capitalized, AI-native company building foundation models and learning systems to accelerate breakthroughs across biology and the life sciences. This team isn’t just applying AI to science - they are rethinking how science itself is done. From training models that can reason over biological systems to developing autonomous workflows that generate and test hypotheses, their work sits at the frontier of AI x Bio. They are hiring AI / ML Research Scientists to push the boundaries of what machine learning can do in real-world scientific discovery. This is a deeply technical, research-driven role with direct impact on how new therapies, insights, and technologies are created. 🔸 What You Will Work On • Develop novel machine learning approaches for modeling complex biological systems, • Train and adapt large-scale models (e.g. foundation models, multimodal systems) on scientific data, • Design systems that can reason, generalize, and generate testable scientific hypotheses, • Work closely with engineers and domain experts to bring research into real-world workflows, • Explore emerging paradigms (e.g. agentic systems, self-improving models, automated science) 🔸 What They’re Looking For • Strong background in machine learning / AI (PhD or equivalent industry experience), • Experience developing and training deep learning models from first principles, • Hands-on experience with modern architectures (transformers, diffusion, multimodal models, etc.), • Strong coding ability (Python, PyTorch and/or JAX) 🔸 Bonus Skills • Experience with biological data (genomics, proteomics, drug discovery, etc.), • Experience with large-scale model training or distributed systems, • Experience with LLMs, reasoning systems, or agentic workflows, • Background in reinforcement learning or generative modeling, • Track record of research (papers, open-source, or impactful industry work) 🔸 Location & Work Environment This is a hybrid role. While remote candidates in the Eastern Time Zone (U.S.) are welcome, there is a preference for individuals able to periodically collaborate in person with the team. Interested candidates should apply via direct message or LinkedIn application.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: • Method Development, Qualification, and Validation:, • Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines., • Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy., • Sample Analysis:, • Support drug absorption, distribution, metabolism, and excretion studies., • Perform analysis of AAVs, cells, and tissues to support various stages of research and development., • Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks., • Documentation Reporting:, • Draft and review key documents such as SOPs, method development, and sample analysis reports., • Maintain accurate and detailed records of all experiments and analyses., • Collaboration & Communication, • Collaborate with manufacturing and preclinical teams to support pipeline needs., • Communicate and present findings clearly to internal stakeholders. Qualifications: • B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field., • 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry., • Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, ddPCR, and ELISA., • Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL., • Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.)., • Background in RNA-based therapies is highly desirable., • Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.), • Knowledge of FDA and ICH guidelines for method development, qualification, and validation., • Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams., • Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: • High motivation, with a strong work ethic and dedication to generating impact., • Attention to detail, with the ability to extract deep insights from data., • Ability to go from ideation to data in an independent fashion., • Long-term personal vision with defined career goals., • Team-oriented thinking., • Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.