Responsibilities:

Mine large, complex sets of data sets for insights on customer behavior.

Work with product and sales team to design meaningful client focussed solutions.

Work with data science team to engineer feature sets.

Explore vast data sets for new device insight sources or product applications.

Discover new uses to improve key model metrics.

Optimize existing production models.

Minimum Qualifications:

Bachelor’s degree in a quantitative discipline (e.g., statistics, economics, computer science, data science, mathematics, physics, electrical engineering, etc.).

Demonstrated effective written and verbal communication skills.

Proven self starter and attention to detail.

Applied experience with SQL and languages/softwares such as (Python, R, pandas, MATLAB etc.).

Preferred Qualifications:

Experience translating data analysis into business recommendations

Experience with cloud services (e.g. AWS, Azure, Google Cloud)

Applied experience with machine learning on large datasets

Experience with data warehousing platform (e.g. Amazon Redshift, Azure Data Warehouse)

Effective problem solving and analytical skills.