Data Science Engineer

• Own the data collection, analysis, and delivery of critical metrics for an enterprise SaaS product team.
• Collaborate with a digital marketing business’ technical team to understand where data is stored and how it can be extracted.
• Analyze customer usage data and derive insights for product, customer success, and marketing teams.
• Standardize insight generation and help build automated self-service tools for the same.
• Own and lead relationships with partners across digital marketing businesses.

• SQL, R (dplyr, ggplot2) /Python (pandas, scikit learn), Spark or similar languages are required.
• Experience in statistics, hypothesis testing and manipulating big data is required.
• Experience in version control systems such as GIT required.
• Experience in a DevOps role, configuring and launching Docker containers, Jenkins for CI/CD, airflow for scheduling and orchestration preferred.
• Ability and preference to work in a constantly evolving and less defined business environment.
• The ability to work with disparate teams, often in different geos, prioritize tasks and follow up on them is crucial for success in this role.
• Knowledge of the digital marketing industry preferred but not required.

Education & Experience:

• 2- 3 years proven experience working in data science, product analytics, or other related field.
• Degree in engineering, statistics, mathematics or related fields are strongly preferred.