Data Scientist, Product Analytics

Burlingame, CA 94010

Posted: 09/15/2021 Employment Type: Contract Industry: Data Analyst Job Number: 31203

Job Description

Data Analyst V

Data Scientist, Product Analytics Responsibilities
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities
- Inform, influence, support, and execute our product decisions and product launches
- The Data Scientist Analytics role has work across the following four areas:

Product Operations
- Forecasting and setting product team goals
- Designing and evaluating experiments
- Monitoring key product metrics, understanding root causes of changes in metrics
- Building and analyzing dashboards and reports
- Building key data sets to empower operational and exploratory analysis
- Evaluating and defining metrics

Exploratory Analysis
- Proposing what to build in the next roadmap
- Understanding ecosystems, user behaviors, and long-term trends
- Identifying new levers to help move key metrics
- Building models of user behaviors for analysis or to power production systems

Product Leadership
- Influencing product teams through presentation of data-based recommendations
- Communicating state of business, experiment results, etc. to product teams
- Spreading best practices to analytics and product teams
- Data Infrastructure
- Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica
- Automating analyses and authoring pipelines via SQL and Python based ETL framework

Minimum Qualifications
- Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience in the following areas:
- Data or analytics work, or work similar to Facebook Analytics
- Complex quantitative analysis and working with distributed (i.e. Hive, Hadoop or similar databases) or highly complex datasets
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)
- Applied statistics or experimentation (i.e. A/B testing) in an industry setting
- 2+ years of experience communicating the results of analyses to leadership teams to influence the strategy

Preferred Qualifications
- Experience in a consumer technology company
- 3+ years of experience in all the above minimums

Meet Your Recruiter

Krista Stillmunkes

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