2346 Data Science jobs in San Bruno

Our client, based in San Francisco, is seeking a Director of Data Science for an immediate opportunity! The ideal candidate will be a proven leader, with deep analysis and programming skills and have an exemplary understanding of statistics and hypothesis testing. Candidates will work with digital marketing teams for all business models, statistics, and ensure the proper information required is provided from different data sources. Job Responsibilities: Be a leader and source of knowledge for the data scientist, to support and deliver AI/ML based products. Work with clients to test optimization strategies. Work with clients to develop innovative solutions and proofs of concept. Work with R&D and Product Engineering teams to build AI/ML based products. Foster Data driven methodology and practice within the company. Integrate deeply with C-level business leadership as a trusted and influential contributor to data-driven decision making, ensuring maximum impact of Data Science outputs. AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). #J-18808-Ljbffr

About Us GridCARE is a leading venture-backed startup solving the most critical bottleneck in AI’s growth trajectory: immediate access to power. While leading tech companies invest billions in speculative long-term solutions, GridCARE’s pioneering physics-based generative AI platform and a unique go-to-market strategy in partnership with utilities enables AI data center developers to unlock and secure gigawatts of immediate power capacity from today’s grid. Founded at Stanford’s Doerr School and led by a third time-founder with successful exits, GridCARE has assembled an unmatched team of electric grid and AI experts. Work at the intersection of the world’s most important trends: AI, energy, and infrastructure. Partner with leading hyperscalers, developers, and electric utilities on mission-critical projects. Help shape a smarter, faster, and more resilient energy future for digital infrastructure. Competitive compensation, equity, and benefits in a fast-growth company. Hybrid work environment with 3 days/week in our Redwood City office. Job Description As a Data Science Engineer , you will work closely with our talented team of power system, AI, data science, and software engineers to develop and implement AI-driven solutions to improve the interconnection process. This is a unique opportunity to gain hands-on experience in applying AI to real-world energy challenges while contributing to the energy transition. Responsibilities Develop and optimize machine learning models for energy-related applications. Analyze, process, and visualize large datasets, including time series and geospatial data. Write clean, maintainable, and well-documented code, and participate in code reviews to ensure adherence to coding standards and best practices. Collaborate with backend developers to implement cloud-hosting and integrate services into applications. Qualifications Proficiency in Python and common data science libraries. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of supervised and unsupervised learning algorithms. Experience working with large datasets, including time series and structured data. Experience with RESTful APIs integrated into backend services. Familiarity with version control systems (Git). Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Preferred Qualifications: Familiarity with energy systems, electric grid data, or renewable energy technologies. Experience with geospatial data analysis (e.g., using GeoPandas or QGIS). Experience with cloud computing platforms (e.g., AWS, Azure) for model deployment. Familiarity with Agile/Scrum methodologies. #J-18808-Ljbffr

Sia Partners is a next-generation consulting firm dedicated to creating state-of-the-art narratives for transformation and innovation and deploying them at scale. Our goal is to deliver superior value and tangible results to our clients as they navigate the digital revolution and achieve transformations which generate a positive impact. Our global footprint and expertise in more than 40 sectors and services allow us to enhance our clients’ businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science. Why Join The Sia Village? Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. Your experience at Sia Partners will be enriched by a(n): Career advocacy program that supports achieving professional development goals through guidance, and real-time feedback Continuous learning & development opportunities Diversity, equity, and inclusion programs with an ever-growing list of global affinity initiatives Job Description Sia Partners is looking for a talented Data Scientist to support our activities within the Data Science Business Unit. 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 internal Data Science projects hosted on Heka, our internal accelerator for Data Science projects. As part of the global Data Science team you will contribute to the development of various solutions designed to address our clients’ needs. Key Responsibilities Partner with our client’s leadership teams, engineers, program managers and data analysts to understand data needs. Identify, acquire, process and explore relevant data sources. Analyze large amounts of structured and unstructured information to discover trends and patterns. Use your data analytics and science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms. Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more. Propose solutions and strategies to business challenges. Collaborate with engineering and product development teams. Broad range of partners equates to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools and process. Qualifications 4+ years’ experience as a Data Scientist or Data Analyst Experience with building models, machine-learning, NLP 4+ years’ experience in R, SQL and Python 4+ years’ experience with data visualization tools (e.g. Tableau, PowerBi, R Shiny) Problem-solving aptitude and business acumen Excellent communication and presentation skills BSc/BA in Data Science, Computer Science, Engineering Preferred experience: Experience with more than one coding language. Experience in data mining Good understanding of Machine Learning techniques Good understanding of statistical techniques and concepts Experience with data visualization tools Experience with Object Oriented Programming Additional Information Salary + Annual Discretionary Bonus Healthcare coverage that includes medical, dental, vision and life insurance policies Generous time off Parental leave paid at 100% of base pay for all new parents regardless of gender Building Healthy Families Program 9 Company Holidays + 1 Floating Holiday 401(k) Plan – 4% matching on day 1 College save-up plan & college loan repayment plan Monthly cell phone stipend Gym Reimbursement through firm medical plan Compensation Information California compensation for this role is between $94,000 to $122,000 per year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location. Our Commitment To Diversity Diversity, equity, inclusion, and belonging (DEIB) are part of Sia Partners’ DNA. Thanks to our expertise in several sectors and our international growth, our teams include a variety of experiences and cultures. We’re confident that promoting DEIB creates an environment in which everyone can reach their full potential. Our global network, Partners, brings together our people worldwide to facilitate local and global progress, focused on the following areas: Gender equality (global Gender Equality Index score of 91/100 for FY19-20) LGBTQ+ Working Parents Disabilities Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Work Authorization & Sponsorship At this time, Sia Partners does not intend to pursue employment with applicants who require/will require sponsorship for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Applicants for employment must have work authorization that does not now or in the future require sponsorship of a visa for work authorization. Hybrid Policy Sia Partners maintains its hybrid workplace arrangements and provides a flexible workplace environment that is driven by client and business/market needs. At this time, in person requirements are issued by departments (Business Unit/Business Line) and vary by office location. Consultants are expected to have the ability to be flexible with work location depending on business needs and live within a reasonable distance to the office. #J-18808-Ljbffr

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