987 Data Science jobs in San Ramon

Data Science Lead

Description -

Job Summary
•This role is responsible for overseeing a team of machine learning engineers and data scientists, guiding the development of machine learning models, and aligning them with business goals. The Data Science Lead designs and builds robust models to support business decisions and strategies. The role triages new AI/ML use cases and formulates a plan for delivery. The role communicates technical development progress, challenges, and outcomes to stakeholders and senior management. The role provides technical guidance and mentorship to team members and fosters a culture of continuous professional growth.

Responsibilities

•Provides direct and ongoing leadership for a team of individual contributors that design, deploy, maintain and monitor machine learning models, pipelines, and systems.
•Collaborates with business stakeholders to understand use cases, user experience requirements, and goals. Then establishes development plans commensurate with these requirements.
•Oversees end-to-end machine learning model lifecycle, from data collection and preprocessing to model selection and optimization, to deployment and ongoing maintenance.
•Drives the selection and application of appropriate machine learning algorithms, techniques, tools, and CI/CD pipelines.
•Manages headcount, deliverables, schedules, and costs for multiple ongoing products, ensuring that resources are appropriately allocated, and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps.
•Communicates technical development status and escalates issues to direct managers, program managers, and internal and external development partners.
•Manages relationships with internal and external partners, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating.
•Regularly evaluates and considers new applications, use cases, and proofs of concept to keep the organization at the forefront of AI and ML technology.
•Provides people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development.
•Ensures that proper knowledge and career development tools are in place to support ongoing team member and process development.

Education & Experience Recommended
•Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
•Typically has 7-10 years of job-related experience or 5-7 years of management experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.

Preferred Experience
•Developing Generative AI solutions

•Experience deploying Deep Learning Neural Network Models

Knowledge & Skills
•Agile Methodology
•Algorithms
•Generative Pretrained Transformers
•Apache Spark
•Artificial Intelligence
•Automation
•Reinforcement Learning
•Computer Science
•Data Science
•Deep Learning
•Machine Learning
•Microsoft Azure
•Natural Language Processing
•Python (Programming Language)
•PyTorch (Machine Learning Library)
•Scikit-learn (Machine Learning Library)
•Software Engineering
•TensorFlow

Cross-Org Skills
•Customer Centricity
•Prioritization
•Resilience
•Team Management
•Strategic Thinking

Impact & Scope
•Impacts function and leads projects requiring understanding of multiple disciplines or areas of HP.

Complexity
•Uses managerial concepts and company objectives to resolve issues in creative and effective ways.

Disclaimer
•This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -
Software

Schedule -
Full time

Shift -
Shift 1, 0% premium (United States of America)

Travel -
25%

Relocation -
No

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement

• Manage and lead a cross-functional team of data scientists, computational biologists, and bioinformatics engineers
• Oversee the development and delivery of cutting-edge machine learning algorithms to detect cancer from blood samples
• Collaborate with peers leading assay design & development, laboratory operations, and clinical development to substantively advance DELFIs R&D objectives
• Partner with IT & cybersecurity team lead to develop a 2-3 year technology roadmap, including in-house tooling for GenAI and ML infrastructure
• Represent DELFI externally at national and international conferences, and in strategic meetings with academic partners and governmental / regulatory bodies

• Required
• PhD (or MS and equivalent experience) in Computer Science, Computational Biology / Bioinformatics, Applied Mathematics, Statistics, Physics, or EE
• 10-15 years' experience with a wide variety of classical and modern methods used in machine learning and AI (unsupervised, semi-supervised, or supervised learning) as evidenced by strong publication record and/or algorithms released into production
• 3+ years expertise in developing transformer models, neural networks, and/or representation learning as applied to biological problems
• 5+ years expertise programming in Python/R including modern ML frameworks (Tensorflow, Pytorch, or Jax), production compute environments (AWS/Nvidia), and versioning principles for reproducible model-building and evaluation
• 10+ years of experience leading and managing teams exemplifying best practice in recruiting, team-building, employee performance management and career development, goal-setting, and cross-functional collaboration
• Superb written, verbal communication, and influencing and presentation skills, including the ability to communicate complex concepts succinctly to a variety of audiences
• Decisive, intellectually curious, proactive, and composed with a balance of high IQ and EQ
• Preferred
• 3+ years of experience working in biotech/pharma/diagnostics
• Expertise in explainable models, interpretability/white-box models, and federated learning
• Background or interest in cancer genomics, molecular biology, and the latest genotyping and phenotyping techniques

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking aTechnical Lead in Data Scienceto guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead – Data Science, you will provide technical direction and management fora team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice. Responsibilities Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders. Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies. Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects. Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility. Lead the design, development, and deployment ofanalytical pipelines to monitor and interpretproduction behavioracross trading and research systems, ensuring its correctness. Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews). Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. Requirements Master’s degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training. 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution. Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery. Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas. Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow, Git), with enough fluency to review and support technical contributors effectively. Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations. Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. Preferred Experience building or growing high-performing data science teams in production-aware or high-stakes settings. Exposure to financial markets, trading systems, or quantitative research environments. Familiarity with production monitoring systems, data quality pipelines, or analytics platform development. 7+ years of experience managing data scientists. Experience managing a large team or multiple teams. $195,000 - $25,000 a year Compensation The base salary range for this position is 195,000 to 225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15, 00 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program . Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. Vaccination Requirement The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated against COVID-19. This policy also applies to remote employees, who may be required to visit our offices periodically. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and the community, and to support public health initiatives. #J-18808-Ljbffr

About Us DELFI Diagnostics, Inc. (DELFI Diagnostics) is developing next-generation, blood-based tests that are reliable, accessible and deliver a new way to help detect cancer. Employing advanced machine-learning methods to whole-genome sequencing data, the DELFI ("DNA EvaLuation of Fragments for early Interception") platform is built to address the highest-burden health challenges. DELFI Diagnostics prioritizes solutions that have the potential to save lives on a global scale, including for historically underserved populations. DELFI Diagnostics’ platform relies on fragmentomics – the discovery that cancer cells are more chaotic than normal cells and, when they die, leave behind tell-tale patterns and characteristics of cell-free DNA (cfDNA) fragments. FirstLook Lung, for individuals eligible for lung cancer screening, is DELFI Diagnostics’ first laboratory-developed screening test and can be part of routine blood work. FirstLook Lung uses millions of data points to reliably identify individuals who may have cancer detected through low-dose CT, including early stage disease with a negative predictive value of 99.8 percent. This test has not been cleared or approved by the FDA. In our passionate pursuit to radically improve health outcomes, we serve humanity when we: Lead with Science, Anchor in Pragmatism : We pioneer life-changing science by ensuring quality, transparency, and rigor at all times. We explore thoughtfully, experiment smartly, and deliver impact with conviction. Build With & For All : We embrace diverse backgrounds to innovate and achieve together. We are not just building a product - we aim to disrupt the path of cancer for all - no matter geography or socioeconomic class Put We over I : We are a home for high-performing people. Through teamwork, we build collective intelligence. Each of us wins when those we serve and those who serve with us--win. We show up with empathy, humility, and integrity at every step of the journey. DELFI has 1-2 designated in-office working days each week for employees who live within within 50 miles of Palo Alto CA or Baltimore MD offices The head of Data Science is an accomplished computational biologist who works at the interface of cancer biology, genetics, genomics, and machine learning, and manages a team of data scientists, computational biologists, and ML scientists. This role will collaborate closely with teams in bioinformatics/software pipeline development, assay, and biostatistics to develop cutting-edge algorithms to detect cancer from blood samples. Reporting to the CTO, you will work closely with commercial, clinical and laboratory leadership to understand the indications and requirements of diagnostic algorithms, and to deliver these. You will also continue to develop the state of the art in machine learning, as described below. This position requires expertise in computational science, cancer biology, team leadership, and strong communication skills. This role is an excellent fit for those who are decisive, proactive and bring a balance of high IQ and EQ. What You'll Do Manage and lead a cross-functional team of data scientists, computational biologists, and bioinformatics engineers Oversee the development and delivery of cutting-edge machine learning algorithms to detect cancer from blood samples Collaborate with peers leading assay design & development, laboratory operations, and clinical development to substantively advance DELFIs R&D objectives Partner with IT & cybersecurity team lead to develop a 2-3 year technology roadmap, including in-house tooling for GenAI and ML infrastructure Represent DELFI externally at national and international conferences, and in strategic meetings with academic partners and governmental / regulatory bodies What You'll Bring to DELFI Required PhD (or MS and equivalent experience) in Computer Science, Computational Biology / Bioinformatics, Applied Mathematics, Statistics, Physics, or EE 10-15 years’ experience with a wide variety of classical and modern methods used in machine learning and AI (unsupervised, semi-supervised, or supervised learning) as evidenced by strong publication record and/or algorithms released into production 3+ years expertise in developing transformer models, neural networks, and/or representation learning as applied to biological problems 5+ years expertise programming in Python/R including modern ML frameworks (Tensorflow, Pytorch, or Jax), production compute environments (AWS/Nvidia), and versioning principles for reproducible model-building and evaluation 10+ years of experience leading and managing teams exemplifying best practice in recruiting, team-building, employee performance management and career development, goal-setting, and cross-functional collaboration Superb written, verbal communication, and influencing and presentation skills, including the ability to communicate complex concepts succinctly to a variety of audiences Decisive, intellectually curious, proactive, and composed with a balance of high IQ and EQ Preferred 3+ years of experience working in biotech/pharma/diagnostics Expertise in explainable models, interpretability/white-box models, and federated learning Background or interest in cancer genomics, molecular biology, and the latest genotyping and phenotyping techniques We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This position is not eligible for agency partnership. Resumes and outreach from staffing representatives will be declined. #J-18808-Ljbffr