Sr. Data Scientist (Growth)
Location: San Francisco
IQ Workforce is the leading recruiting firm for the analytics & data science community.
Our client is one of the most successful technology start-ups 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).
The company has a fast growing 20+ person centralized data science team, made up of Managers and Sr. Data Scientists. The team has tripled in size in the last year and a half and they are currently looking to add additional Sr. Data Scientists to support their Fulfillment product teams.
Day to day responsibilities include:
Proactively conduct quantitative analysis of company data that results in actionable insights and recommendations
Own identifying key questions, problems, KPIs and develop analytical frameworks to monitor and improve our product and the experience of our customers and shoppers
Own the development of statistical models on large datasets to extract trends, measure results and outcomes, and to predict future performance of our product
Own the design of rigorous experiments and interpret the results to draw detailed and actionable conclusions
Present findings to stakeholders and leadership teams to influence and strengthen business decisions
Drive the collection of new data and the refinement of existing data sources
Provide access to data through dashboards and other analytical tools to empower your team through self-service. Strategize and look for opportunities to automate insights through alerting and anomaly detection
3-10 years’ work experience (depending on level) in a quantitative role at a product company
Ability to write complex, efficient, and eloquent SQL queries to extract data
Ability to write efficient and eloquent code in Python (preferred), R, or C/C++
Ability to run rigorous experiments and come up with scientifically sound recommendations
Ability to quickly understand business concepts and influence product decision making
A desire to build and improve consumer software products
Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company