Sr. Data Scientist, People Analytics
Location: San Francisco
Job Type: Analytics
IQ Workforce provides talent services for the analytics community.
Our client is one of the most successful technology startups in the last 10 years. They have grown to 300+ employees and service 15,000 stores across 4,000 cities. They just closed a $600 million round of funding, bringing their valuation to $7.6 billion (Oct 2018).
This client has a fast growing 20+person centralized data science & analytics team, made up of Managers and Sr. Data Scientists. They are currently looking to add their first Sr. Data Scientist with specific domain experience in People Analytics.
The Sr. Data Scientist will partner directly with their recruiting and human resources team to understand and improve their people related processes. You will be a trusted partner in the team tackling the toughest and most impactful analytical problems and perform research and analyses on a broad spectrum of people issues: to optimize employee attraction and selection, performance, growth, engagement, diversity, compensation, and retention. You will also help develop and refine people processes to make an exceptional workplace even better.
Conduct quantitative research and analysis of the company’s data requiring complex data retrieval that results in actionable insights and recommendations
Identify key questions, problems, and KPIs to improve the experience of our customers using your sharp business acumen and judgment
Help develop effective and scalable data models in our production environment and develop, build, and maintain a user friendly version our production data in our data warehouse
Work daily with product managers and engineers to discover and guide the most impactful product investments
Design and analyze rigorous A/B experiments
Provide access to data through dashboards and other analytical tools to empower your team through self service. Look for opportunity to automate insights through alerting and anomaly detection
2+ years of experience conducting quantitative people research including working with key stakeholders to understand pressing recruiting, retention, culture data and communicating actionable insights to improve the overall health of the company
Ability to write complex and performant queries in your dialect of SQL to extract data from our Redshift cluster
Experience building tools and automated processes to extract, clean, and distill data in a procedural language of your choice such as Python, Julia or R
Understanding of A/B testing and other forms of statistical analysis using statistical packages similar to R, SAS, or Pandas
Experience with analytical visualization tools such as Tableau, Looker, D3.js or similar tools
Excellent communication skills with the ability to distill complex problems into meaningful and digestible insights