Data Scientist III | Menlo Park, CA (MPK) - Onsite | Contract

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Anagha Techno Soft, is seeking the following. Apply via Dice today! Job Title: Data Scientist III Location: Menlo Park, CA (MPK) Work Mode: Onsite 5 days/week (No Remote) Engagement: Contract Rate: Market Rate Experience Required: 5+ years Education: Bachelor s or Master s degree in a quantitative field (Required) Note: Candidates must include a portfolio or work samples with their resume. Job Summary We are seeking an experienced Data Scientist to support high-impact initiatives across the FB Social ecosystem. This role is ideal for a hands-on data scientist with strong analytical and modeling skills, experience working with large-scale datasets, and the ability to drive actionable insights that influence product and ecosystem strategy. The ideal candidate is comfortable working onsite in a fast-paced environment, collaborating closely with Product and Engineering teams, and delivering insights to both technical and non-technical stakeholders. Key Responsibilities < data-start="1273" data-end="1306">Data Analysis & Modeling • Perform deep analysis of complex, large-scale datasets to uncover trends, patterns, and actionable insights • Apply statistical and analytical techniques to evaluate product, platform, and user behavior < data-start="1517" data-end="1545">Metrics Development • Design, implement, and maintain core metrics to measure ecosystem health, growth, and engagement < data-start="1648" data-end="1683">Experimentation & Analysis • Design and execute experiments to evaluate new features, partnerships, and strategic initiatives • Apply causal inference and experimentation methodologies where applicable < data-start="1864" data-end="1898">Reporting & Visualization • Build dashboards and reports using tools such as Tableau, Unidash, or Metrics360 • Clearly communicate findings to technical and business stakeholders < data-start="2061" data-end="2100">Cross-Functional Collaboration • Partner with Product and Engineering teams to define requirements and inform decision-making • Deliver ad-hoc analysis to support urgent business questions Required Skills (Must-Have) • 5+ years of professional experience in Data Science, Analytics, or related roles • Advanced proficiency in SQL • Strong programming skills in Python or R • Experience with data visualization tools (Tableau, Unidash, Metrics360) • Strong analytical, problem-solving, and modeling skills • Excellent communication and collaboration abilities • Ability to work independently in a fast-paced, onsite environment Nice-to-Have / Preferred Skills • Experience working with large-scale data in tech or platform ecosystems • Familiarity with Meta internal tools such as Presto, Scuba, Hive • Strong background in product analytics • Knowledge of experimentation design and causal inference • Previous experience at Meta (highly preferred) • Prior consulting or contract experience Education Requirements • Bachelor s or Master s degree in: • Data Science • Statistics • Computer Science • Economics • Or a related quantitative discipline Dice Search Optimization Keywords Data Scientist, Product Analytics, SQL, Python, R, Tableau, Unidash, Metrics360, Experimentation, Causal Inference, Meta, Large-Scale Data, Platform Analytics, Onsite Important Notes • This role is 100% onsite (5 days/week) in Menlo Park, CA • Portfolio or work samples must be included with submission