Data Scientist in Cupertino, CA (Only locals) - Only W2 - Hybrid

  • Cupertino, CA
  • Posted 12 days ago | Updated 12 days ago

Overview

Hybrid
$70 - $80
Contract - W2
Contract - 12 Month(s)
75% Travel

Skills

Data Scientist
SQL
Python
Marketing
Financial
LLM

Job Details

Job Details:
Data Scientist
Cupertino, CA (Only locals)
Hybrid - 3 days/week work from office
11 - 15 Years Only
Contract (W2)

Job Description: Day-to-day activities will include but not be limited to:
Leverage SQL and Python to analyze marketing and business data to identify key insights and opportunities for the business.
Perform diagnostic analyses, including multivariate testing and causal inference analyses, to quantify marketing campaign performance and measure the lift of marketing campaigns.
Be a thought leader to marketing stakeholders and provide recommendations on marketing campaign design and scalable measurement plans.
Use Keynote and/or Tableau to visualize insights and deliver results in business presentations.
Build and maintain positive relationships with key partners across the company to successfully deliver actionable insights.

Key Qualifications
Data Science with a focus on marketing analytics and/or financial products
Solid experience in large, complex, and fragmented datasets.
Strong ability to transform data into digestible insights.
Strong proficiency with SQL and Python.
Experience with experimental design, stats significance sizing, and bivariate and multivariate analysis.
Experience with standard data science analysis, regression modeling, causal inference, clustering, and segmentation.
Strong story-telling capabilities. Have a curious business mindset that can condense complex concepts and analyses into clear and concise takeaways that drive action.
Demonstrate exceptional verbal and written communication skills. Build and maintain positive relationships with stakeholders.

Education:
Advanced degree in Marketing Science, Data Science, Statistics, Economics/Econometrics, Operations Research, Computer Science, Mathematics or Engineering

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