Sr. Data Scientist (Pricing of Consumer Products)

Location: San Francisco
Job Type: Analytics

IQ Workforce provides talent services for the analytics and 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.

They are currently looking to add a Sr. Data Scientist with specific experience in pricing. This Sr. Data Scientist will be embedded within their data driven Consumer Product team to identify key metrics, conduct deep and rigorous analysis / modeling, and deliver insights to the team for product improvement. You will be a trusted partner in the team tackling the toughest and most impactful analytical problems while making the data accessible to the broader organization.

Responsibilities include:
Identify key questions, problems, and KPIs using your sharp business acumen and judgment

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

Design and analyze rigorous a/b experiments

Analyze and share the results of product features and find opportunities to improve them

Work daily with product managers, engineers, and designers to discover and guide the most impactful product investments

Provide access to data through dashboards to empower your team, and look for opportunity to automate insights through alerting and anomaly detection

Passion for, and track record of leveraging data for business impact, preferably in a consumer facing digital environment

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

Excellent communication skills with the ability to distill complex problems into digestible insights

Effective data visualization skills with analytical tools such as Tableau, Looker, D3.js or other tools

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