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Data Scientist V (6291)

Menlo Park

Data Scientist V

itD is seeking a Data Scientist V to drive data-driven decision-making by analyzing large-scale datasets, defining business metrics, developing predictive models, and translating complex findings into actionable recommendations. The ideal candidate will bring 10+ years of industry experience in quantitative analysis, advanced SQL, Python, statistical modeling, data visualization, and experimentation, with a proven ability to independently solve analytical problems and communicate insights to both technical and non-technical stakeholders.

Location: Onsite – Menlo Park, CA (3 days per week)
Positions: 2
Duration: 6 months, with potential for extension
Start Date: ASAP

We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.

Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Responsibilities

  • Perform exploratory data analysis to identify trends, patterns, correlations, root causes, and opportunities using quantitative and statistical techniques.
  • Define business objectives, OKRs, and success metrics in partnership with stakeholders and establish approaches for monitoring progress.
  • Analyze key metrics at scale, investigate changes and discrepancies, and translate findings into actionable business recommendations.
  • Develop predictive and forecasting models using techniques such as regression, clustering, and classification, and evaluate model performance.
  • Design high-performance dashboards and visualizations that provide clear narratives while supporting detailed data exploration.
  • Communicate complex analytical findings and recommendations through compelling data stories tailored to technical and non-technical audiences.
  • Formulate hypotheses and research plans, conduct experiments and analysis, and generate insights that support business decisions and identify new opportunities.

Internal Responsibilities

  • Attend regular internal practice community meetings.
  • Collaborate with your itD practice team on industry thought leadership.
  • Complete client case studies and learning material (blogs, media material).
  • Build out material to contribute to the Digital Transformation practice.
  • Attend internal itD networking events (in person and virtual).
  • Work with leadership on career fast-track opportunities.

Required Qualifications and Skills

  • 10+ years of industry experience solving analytical problems using quantitative approaches.
  • 10+ years of experience working with data querying and/or programming languages such as SQL and Python.
  • Advanced SQL proficiency, including data analysis, querying, joins, aggregation, filtering, and analytical functions.
  • Strong experience performing exploratory data analysis (EDA) and interpreting large-scale datasets.
  • Experience defining, monitoring, and analyzing business metrics and success measures.
  • Strong background in statistical analysis and quantitative modeling.
  • Experience using scripting or statistical programming tools such as Python or R.
  • Ability to independently identify root causes of metric changes and generate data-driven recommendations.
  • Strong communication skills with the ability to explain analytical findings to technical and non-technical audiences.

Preferred Qualifications and Skills

  • Experience developing predictive and forecasting models, including regression, clustering, and classification.
  • Strong experience developing dashboards, reports, and data visualizations.
  • Experience with data storytelling and communicating insights through compelling narratives.
  • Experience designing and conducting research, experimentation, and hypothesis-driven analysis.
  • Experience working with large-scale data environments.
  • Experience defining business OKRs and partnering directly with leadership on business outcomes.

Education

  • Bachelor's degree in a relevant field or equivalent work experience required.

Company Description
About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.

The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at recruiting@itdtech.com and let us know the nature of your request and your contact information.

Additional Info
Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!

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