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Decision Scientist, AR/VR
Ref No.: 20-03882
Location: Menlo Park, California
Data Analyst/Scientist (Decision Scientist)
Tailored Management is seeking a Quantitative Data Analyst work onsite at our client's Menlo Park, CA campus on a contract basis. This is an excellent opportunity to join the world's largest social media network who enables over a billion users to openly connect with friends and family, share content, and explore the world.

Contract Length: 1 Year
Location: Menlo Park, CA
Pay: Based On Experience

  • Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of our marketing efforts on the world and on our business
  • Translate data insights into actions and recommendations that will drive user growth and engagement, and marketing effectiveness
  • Develop quantitative analysis, marketing measurement frameworks, design experiments , and build models to support marketing decision making. Analysis areas might include (but not limited to): retention, acquisition, lifetime value, messaging, promotions, usage, and engagement
  • Produce data visualization such as charts, infographic, and dashboards to communicate findings and actionable recommendations to internal stakeholders clearly and effectively
  • 4+ years of experience in data analysis, data science, decision science, or similar quantitative fields, applying experimentation methods to test various hypotheses
  • Experience finding, cleaning, and manipulating data to build data sets
  • Statistical modeling and experimental design is must (e.g. regression modeling, sampling theory)
  • Medium to advanced skills in R or Python for statistical modeling
  • 3+ years' experience with SQL, Hive, Presto, Hadoop, or other data querying languages
Bachelor's degree in computer science, mathematics, statistics, engineering, or similar field is required
Masters in above fields or data science is ideal
Interview Process:
Phone Screen 1 Hour: 45 min Problem Solving Screen | 45 min Technical Screen
On Site interview 2 hours: 30 minutes: XFN; 45 minutes: Problem Solving Screen; 30 minutes: Statistic