Data analyst

94199 San Francisco, California Igotanoffer

Posted 12 days ago

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Position: Data Analyst, Data Science Manager, Data Scientist Company: Meta Client Information: 12 clients (16% rebook rate) Rating: 5.0 (5 reviews) Refund Policy: Free refunds for 30 days Discount: Save up to 20% on multiple sessions About Experience: 2022-23: Meta, Data Science Manager, San Francisco 2017-22: Poshmark, Senior Analytics Manager, Product Analytics 2015-17: Storm8, Business Analyst, San Francisco 2014-15: Western Union, Data Scientist, San Francisco Interview Coaching: Audrey has interviewed 100+ candidates over her career in startups and at Meta. She has experience interviewing data scientists from L4 to L6 levels and data science managers. She can help you practice the following types of interviews: phone screen, technical, reasoning, execution, and behavioral interviews. She simulates real interviews and provides constructive feedback to help you ace your Meta interviews. Resume Coaching: As a hiring manager, Audrey has screened 100s of resumes and has a keen eye for which resumes stand out. She can help you translate your strengths and quantifiable achievements into a resume that gets interviews at top companies. In the past, Audrey has helped 20+ job seekers improve their resumes and get interviews at FAANG companies. Services Offers: Career coaching, Interview coaching, Resume review Availability Times are shown in your local timezone: May 12, 2025 Monday: 11:00pm - 12:00am 11:30pm - 12:30am May 13, 2025 Tuesday: 12:00am - 1:00am 12:30am - 1:30am 1:00am - 2:00am 1:30am - 2:30am 2:00am - 3:00am 2:30am - 3:30am 3:00am - 4:00am Your Timezone: Reviews Search: Service: All Sort by: Best first Mar 20, 2025: Rainy Data scientist Interview coaching Statistics and probability mock interview Great to work with; responsive. Feb 20, 2025: Sam Data scientist Interview coaching SQL mock interview Great feedback! Enjoyed having plenty of questions as well! Feb 18, 2025: Paridhi Data scientist Interview coaching Product sense mock interview Aubrey is very supportive and provides detailed feedback. I would definitely like to set up another session with her! Note: Purchase sessions first to schedule time with Audrey Z. or other coaches. #J-18808-Ljbffr

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Data Science

94199 San Francisco, California Automation Technologies

Posted 8 days ago

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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

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Data Science Engineer

94061 Redwood City, California GridCARE

Posted 4 days ago

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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

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Data Science Consultant

94199 San Francisco, California Sia Partners

Posted 14 days ago

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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

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Data Science Manager

94103, California Meta

Posted 1 day ago

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**Summary:**
We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You'll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.
**Required Skills:**
Data Science Manager Responsibilities:
1. Labeling spend management: Inform and drive multi-billion spend management and optimizations
2. develop and execute a comprehensive data science strategy that aligns with the organization's overall goals and objectives
3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
**Minimum Qualifications:**
Minimum Qualifications:
8. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
9. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
10. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
11. Experience communicating both in low-level technical details as well as high-level strategies
12. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
13. Experience with driving product roadmap and execution
**Preferred Qualifications:**
Preferred Qualifications:
14. Expertise in AI Agentic solutions, LLM performance and evals
15. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
16. Communication skills in VP-level leadership forums
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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Data Science Director

94103, California Meta

Posted 1 day ago

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**Summary:**
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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Technical Lead, Data Science

94709 Berkeley, California The Voleon Group

Posted 5 days ago

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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

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Data Science Product Owner

94199 San Francisco, California Jacobs

Posted 8 days ago

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Join to apply for the Data Science Product Owner role at Jacobs Continue with Google Continue with Google Join to apply for the Data Science Product Owner role at Jacobs This range is provided by Jacobs. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $130,000.00/yr - $60,000.00/yr At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact StreetLight Data , the pioneer in Big Data for mobility, is revolutionizing transportation and urban planning to help the world better deploy infrastructure and adapt to new forms of mobility. From legacy systems to ride sharing and bike sharing to autonomous vehicles, our platform powers 6,000+ mobility projects every month for government and private clients, and we are just getting started. At StreetLight , you will work in a collaborative, team-oriented environment alongside people who are passionate about making a positive impact on the future of transportation. Your Impact StreetLight Data is seeking a dedicated Product Owner to drive the development of our data and metrics products. You will play a crucial role in defining the product vision, strategy and roadmap, working closely with Product Managers and collaborating with cross-functional teams , including Data Science/Data Engineering, Engineering, Marketing, and Sales. This role offers a unique opportunity to contribute to solving complex real-world problems in the transportation sector. Among other responsibilities, you will lead a technical team to build robust, complex infrastructure to reliably and efficiently deliver high-quality data, especially our mapping solutions. Location Remote within the US Responsibilities Contribute to the product vision, strategy, and roadmap for data products, aligning with overall company objectives. Translate customer needs into clear and actionable technical requirements for the Data Science team. Manage product development, working collaboratively with the Data Science/Data Engineering team to ensure consistent, timely delivery of high-quality data products. Plan and manage data science sprints, using Agile methodologies, including maintaining and prioritizing the product backlog. Identify metrics dependencies, blockers, and product risks. Act as a primary point of contact between technical teams and stakeholders, ensuring clear communication and alignment. Work closely with customer-facing teams, including marketing, sales, and support, to facilitate product communication and ensure customer satisfaction. Here's what you'll need 3+ years of experience in transportation, data science or data engineering Bachelor's degree in a technical major Exceptional project management skills and ability to align multiple stakeholders Proven ability to translate ambiguous customer needs to technical requirements Familiarity with basic data science and statistical concepts such as distributions, sample bias, and machine learning Excellent attention to detail Demonstrated clear and proactive communication, especially ability to explain complex technical concepts to less technical audiences Ability to balance multiple projects with competing demands in a fast-paced environment Preferred Expertise in geospatial data, mapping platforms or GIS software is a strong plus 3+ years of experience in a product management, technical product management, or technical program/project management role Experience working with big data using tools such as Google Cloud AK1 Posted Salary Range Minimum 130,000.00 Posted Salary Range Upper 160,000.00 Jacobs’ health and welfare benefits are designed to invest in you and in the things you care about. Your health. Your well-being. Your security. Your future. Eligible employees and their dependents may elect medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, and, if eligible, a deferred compensation plan and Executive Deferral Plan. Employees will also receive 17 days of vacation per year, seven paid holidays, plus floating holidays and caregiver leave. Hired applicants will be able to purchase company stock and have the opportunity to receive a performance discretionary bonus. The base salary range for this position is $130 000.00 to 160,000.00. This range reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Product Management and Marketing Industries Civil Engineering, Design Services, and IT Services and IT Consulting Referrals increase your chances of interviewing at Jacobs by 2x Get notified about new Product Owner jobs in San Francisco, CA . San Francisco, CA 116,662 - 155,550 3 weeks ago VP or Sr Director of Digital Product Management Corte Madera, CA 200,000 - 340,000 6 days ago VP/Director of Product Management, Bridge San Francisco, CA 180,000 - 240,000 4 days ago Director/Senior Director, Product Management Director - Product Management, Private Dining Sr. Director of Product Management, Growth San Francisco, CA 200,000.00 - 325,000.00 2 weeks ago San Francisco, CA 200,000.00 - 275,000.00 1 month ago San Francisco, CA 260,000.00 - 320,000.00 6 days ago San Francisco, CA 160,000.00 - 220,000.00 4 months ago Senior Director of Product, GoFundMe Pro San Francisco, CA 300,000.00 - 410,000.00 2 days ago San Francisco, CA 300,000.00 - 340,000.00 4 days ago San Francisco, CA 210,000.00 - 275,000.00 1 month ago Director of Product Management, AI Applications San Francisco, CA 150,000.00 - 250,000.00 2 weeks ago San Francisco, CA 50,000.00 - 200,000.00 1 month ago Redwood City, CA 270,000.00 - 290,000.00 3 weeks ago San Francisco, CA 249,000.00 - 323,000.00 1 day ago Head of Product - Productivity (role based in Australia, relocation provided) Director of Product Management, Workplace Founding Product Manager - VC Backed Startups San Francisco, CA 120,000 - 220,000 4 months ago Director of Product, Growth & Site Experience San Francisco, CA 250,000 - 275,000 2 weeks ago San Francisco, CA 260,000 - 320,000 1 month ago Senior Director, Product Management Operations San Francisco, CA 218,300 - 300,100 2 months ago Senior Director Product Platform (AI/ML) San Francisco, CA 275,000 - 325,000 2 weeks ago San Francisco, CA 150,000 - 180,000 1 month ago Vice President of Product Management & Design San Francisco, CA 320,000 - 380,000 3 weeks ago Director of Product Management, Platform We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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Data Science & Analytics Lead

94199 San Francisco, California HCLTech

Posted 11 days ago

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Get AI-powered advice on this job and more exclusive features.This range is provided by HCLTech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$96,000.00/yr - $98,000.00/yrDirect message the job poster from HCLTechHCLTech is looking for a highly talented and self-motivated Data Science & Analytics Lead to join it in advancing the technological world through innovation and creativity.Job Title: Data Science & Analytics LeadJob ID: 2657866Position Type: Full-timeLocation: San Francisco, CA (Remote not allowed,Onsite from day 1)Role/Responsibilities:Lead data science and analytics initiatives across core retail functions like merchandising, pricing, supply chain, customer behavior, marketing, and omnichannel operations.Collaborate with business leaders to define analytics use cases and translate them into high-impact solutions.Build, deploy, and manage machine learning models and statistical algorithms for forecasting, segmentation, recommendations, and optimization.Interpret and present analytical findings in business-friendly terms, driving adoption of insights and models.Work closely with data engineering teams to ensure data availability, quality, and proper pipeline design.Lead and mentor junior data scientists and analysts, fostering a culture of experimentation and innovation.Drive adoption of analytics tools and platforms across the organization (e.g., dashboards, self-service BI, ML platforms).Qualifications & Experience:Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or a related field.Certifications in data science, cloud platforms, or analytics tools are a plus.12 years of experience in analytics or data science, preferably in the retail domainExperience working in Agile/SAFe environments and collaborating with cross-functional teams.Proficiency in tools and languages such as Python, R, SQL, Spark, and Databricks.Hands-on experience with data visualization tools like Power BI, Tableau, or Looker.Pay and BenefitsPay Range Minimum: $96, 00 per yearPay Range Maximum: 198,000 per yearHCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.Compensation and BenefitsA candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.How You’ll GrowAt HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionInformation TechnologyIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at HCLTech by 2xSign in to set job alerts for “Analytics Specialist” roles.Principal Insights Analyst, LMS Customer InsightsOakland, CA $124,000 00- 135,000.00 1 week agoSan Francisco, CA 112,000.00- 180,000.00 3 days agoSenior Manager, Quantitative Analytics & ForecastingBusiness Intelligence Analyst, Growth Marketing, ConversionSan Francisco, CA 105,000.00- 156,000.00 15 hours agoSan Mateo, CA 161,154.00- 241,700.00 1 week agoSan Francisco, CA 135,000.00- 180,000.00 3 days agoSan Francisco, CA 116,480.00- 149,760.00 1 month agoData Analyst, New Verticals Business OperationsFBI Special Agent: Advanced Data & Intelligence ExpertiseSan Francisco, CA 99,461.00- 128,329.00 1 day agoAssociate Director, Data Strategy & Business IntelligenceFoster City, CA 109,650.00- 141,900.00 1 week agoData Analyst - People Analytics (Short-Term Employment)San Francisco, CA 124,000.00- 176,000.00 1 day agoSan Francisco, CA 133,000.00- 185,000.00 16 hours agoFinancial Insights & data analysis expertData Analyst | Research Data Analyst II, JC-479429Richmond, CA 5,652.00- 7,290.00 3 days agoWe’re unlocking community knowledge in a new way. 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Senior Data Science Consultant

94199 San Francisco, California Sia Partners

Posted 13 days ago

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Job Description

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Sia Partners is looking for a talented Senior Data Scientist to support our activities within the 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 Master's 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 Why Join Sia? Support with achieving professional development goals through guidance and real-time feedback Continuous learning & development opportunities Salary + Annual Discretionary Bonus Healthcare coverage that includes 3 medical plan options: Anthem – EPO HSA, EPO HSA MERP, and PPO; dental and vision through MetLife; and life insurance policies through Mutual of Omaha Flexible Spending Account (FSA) Paid Time Off Parental leave paid at 100% of base pay for all new parents 9 Company Holidays + 1 Floating Holiday 401(k) Plan - 4% matching and vested on day 1 College save-up plan & college loan repayment plan Monthly cell phone stipend Pre-tax account for Parking and Mass Transit Sia provides several wellness and incentive programs free of charge through the firm medical plan – Anthem - such as: Gym Reimbursement LiveHealth Online Well-being Coach Building Healthy Families Program And much more California Salary Information: California compensation for this role is between $128,100 to $135,450 per year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location. Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging . We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia 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. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). #J-18808-Ljbffr

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