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 science and analytics team, made up of 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 with specific eCommerce domain experience.

This Sr. Data Scientist will be embedded within their data driven business development team to identify key metrics, conduct deep and rigorous analysis and predictive modeling, and deliver insights to the team to drive productive partnerships with retailers.

Responsibilities include:
Conduct quantitative research and analysis of our partnerships requiring complex data retrieval that results in actionable insights and recommendations

Identify key questions, problems, and KPIs using your sharp business acumen and judgment to enable stickier relationships with our existing partners and the acquisition of new partners

Provide access to data through dashboards and other analytical tools to empower your team and our partners, and look for opportunity to automate insights through alerting and anomaly detection

Analyze and share the results of our partner campaigns on and find opportunities to improve them

Qualifications:
Passion for, and a track record of leveraging data for business impact, preferably in an external client facing environment

Ability to write complex and performant SQL queries to extract data from our Redshift cluster

Experience building tools and automated processes to extract, clean, and distill data in Python

Understanding 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

The ability to thrive in a dynamic and collaborative environment

Desirable:

Advanced degree in statistics or other quantitative field

ETL and data pipeline development experience