Partner with product and engineering teams to understand existing product instrumentation and help bridge gaps in data streams to assist data science initiatives.
Analyze product usage patterns to better understand customer behavior including acquisition, engagement, conversion, and retention.
Proactively identify user trends and communicate relevant insights to assist product decision-making.
Automate and optimize data pipelines using SQL and/or Python-based ETL Frameworks.
Build and maintain various dashboards to inform the team about the state of the business, as well as to alert business partners when issues occur.
Architect and implement models to recommend personalized in-app content.
Drive A/B and multivariate tests and build feature-level experiments to validate hypotheses and influence product development decisions.

Requirements

MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics, or equivalent experience.
3 - 5+ years of relevant data science experience.
Experience translating business questions into data analytics approaches.
Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.).
Experience developing and operationalizing consistent approaches to experimentation, using appropriate statistical techniques to reduce bias and interpret statistical significance.
Proficiency with descriptive and inferential statistics (i.e., t-test, chi-square, ANOVA, correlation, regression, etc.) to understand customer engagement and generate hypotheses.
Experience crafting data visualizations and storytelling to efficiently communicate analysis results to both technical and non-technical audiences.
Knowledge of relevant tools in this field such as Hadoop, Hive, Splunk, Spark, Tableau, Excel (Charting and Pivot-Tables), and Power BI.
Experience in product instrumentation is a plus.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceSQLPythonETL frameworksA/B testingstatistical techniquesdescriptive statisticsinferential statisticsdata visualizationdata analysis

Soft Skills

communicationproblem-solvingcollaborationanalytical thinkingstorytelling

Certifications

MS in data sciencePh.D. in data scienceequivalent experience