Sr. Data Scientist (Logistics)

Location: San Francisco
Job Type: Analytics

IQ Workforce provides talent services for the analytics community.

Our client is one of the most successful technology start-ups in the last 5 years.  They have grown to 300+ employees, their service area is over 60% of homes in the US and are valued at 4.2 Billion dollars (Feb 2018).

This client has a fast growing 25+person centralized data analytics team, made up of Sr. Data Engineers and Sr. Data Scientists.  2018 will be a high growth year, with plans to double the size of the team.

They are currently looking to add a Sr. Data Scientist in their Shopping Logistics team.  You will be embedded in the team and tackle ambitious projects with a team of experienced OR Scientists, Product Managers and ML Engineers. The team’s goal is to continuously improve the company’s marketplace and shopping efficiencies.

Some of the teams’ projects include:

  • Design experiments to help with cutting edge technology such as augmented reality or indoor GPS
  • Design and rigorously test new features in our app that improve quality of service for our customers
  • Identify the optimal product strategy for different marketplaces
  • Define and measure metrics that quantify the tradeoffs between different fulfillment models
  • Distill complex datasets into actionable KPIs; build and automate reporting to empower data driven decision making across the company

3+ years of experience or equivalent in conducting quantitative research, analysis and modeling, preferably at a start-up

Experience  supporting Data Scientists in model validation and algorithm / model optimization

Expertise in wrangling large datasets (SQL, Hive, or Spark)

Effective data visualization skills (Tableau, Looker, or D3.js)

Solid programming skills for statistical analysis (Python or R)

A passion for leveraging data for business impact

A high sense of urgency and ownership

Growth mindset; the ability to thrive in a dynamic and collaborative environment

Prior experience in logistics and marketplace systems preferred