Principal Data Scientist

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 team, made up of Managers and Sr. Data Scientists.  They are currently looking to add their first Principal Data Scientist.

This will be a chance to make a substantial impact. As a Principal Data Scientist, you will be a data-driven partner to the strategic leadership at the company. You will proactively identify the most prominent issues facing the company and help shape company goals and initiatives at the highest level.

Responsibilities include:

Conduct quantitative research and analysis of company data requiring complex data retrieval that results in actionable insights and recommendations

Identify key questions, problems, and KPIs to improve our business 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


A passion for and track record of leveraging data to drive strategic company decisions and support key projects and initiatives

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