Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

We’re looking for a Data Science analytics team member to collaborate with Product Management, Marketing, and Engineering as we work toward optimizing our web and mobile experiences. As a Data Scientist I, you will refine and maintain our instrumentation platform, analyze member behavior to guide product decisions, and create a more valuable, delightful and intuitive experience for our Members. In addition to technical data science skills, core competencies such as collaboration, decision-making, communication and flexibility will be key to your success.

This role offers the challenge and excitement of converting data analysis into real-life benefits. Come help us break new ground, while measurably improving lives and saving millions in healthcare costs.

Responsibilities

• Collaborate with Product Managers, Marketing, and Engineering to optimize our web and mobile analyticsand support new instrumentation, tagging, analytics, and reporting requirements
• MaintainPiwik instrumentation and tag manager 
• Test and optimize key metrics to ensure proper configuration and tagging
• Createscheduled and ad-hoc reports and dashboard 
• Maintaindocumentation of tagging and analytics framework 
• Supportexperimentation tracking and sampling techniques
• Onboard new users and oversee training
• Handle user permissions once users obtain OneLogin access from IT

Candidate Profile

• Data science experience (SQL, Python, R) and familiarity with managing large data sets
• Basic understanding of front-end engineering using Object-Oriented JavaScript, JavaScript libraries and micro frameworks such as jQuery, HTML5 and CSS
• Experience building insightful dashboards with visualization tools like Tableau is a plus
• Ability to collaborate and communicate with non-technical stakeholdersand help them craft hypotheses, and define and measure KPIs
• History of managing native and API integrations of analytics, marketing, and experimentation (A/B testing) tag implementations
• A self-starter approach, with strong motivation and drive for excellence 
• BS degree in Engineering, Computer Science or a related field is required. Master’s Degree is preferred.

Location: We are moving to a hybrid work environment (2 days onsite/3 days remote). Locations across the USA.