Course Hero is looking for an experienced Staff Data Scientist for Strategic Analytics to join our Data Science and Analytics team. In this role, you will work with big data sets to build forecasts, attribution models, content and engagement value models, user journeys, retention/churn models, and more.  The Strategic Science team is a centralized platform team that builds and productionalizes the models and insights that orient our product pods and corporate strategy. This is a technically-engaged, high-visibility position breaking new trail for the company.  We are full stack Data Scientists.  Problem solvers that start from DWH tables (and sometimes raw data), explore data, build models, and productionalize into our common Data Eng and ML Eng framework.

Here are some ways you’ll make an impact::

• Build the North Star metrics and models that orient the overall business and our product pods
• Build and maintain automated forecasting models from the bottom up, including diff to actuals and explanatory models
• Build anomaly detection routines that detect risks to growth at all margins
• Build internal content-type based attribution models, and external marketing impact attribution models
• Build content upload (User Generated Content) and engagement value models to measure trade-off between immediate revenue and UGC/engagement
• Identify the “Golden Path” of user value
• Data mine heterogeneous datasets and develop a deep understanding of user journey, customer attributes, engagement with the products, and high-value growth opportunities for scaling our business across key product metrics
• Come up with quick hypotheses to diagnose and explain trends in our growth
• Propose strategic initiatives and goals, and perform ad-hoc analysis, to help our functional partners to achieve their goals and drive growth
• Effectively communicate with people in all disciplines and levels, including the C-suite

Are you our Staff Data Scientist?

• Senior or staff title will be depending on experience and qualifications
• 6+ years data science experience of continually increasing complexity and impact
• Deep understanding of time series, predictive / statistical modeling, ML, and probabilistic models
• 2+ years experience building forecasting models (more for Staff)
• Minimum Bachelor degree (MS or PhD degree preferred) in a scientific or quantitative field like Math, Engineering, Economics, Science, or similar.  Finance can be a good fit as well for this role. 
• Sound economics and finance intuition, training, and experience
• High proficiency in Python (or R) and hands-on skills in SQL, Airflow, Tableau, and Linux/Shell scripting
• Strong problem solving and communication skills, including the ability to tell stories with data and help other stakeholders of all kinds understand the opportunity and proposed solutions
• Track record of delivering decision support models and quantitative analysis with actionable insights and high business impacts

Bonus Points:

• Past work experience in e-commerce or education domain
• Experience with big data platforms and cloud computing such as AWS, Athena, BigQuery, and S3; big data tools such as Spark, Hive, or Pig is a plus
• Knowledge of Google Analytics or Tableau

This role is based in the San Francisco Bay Area or Vancouver or Toronto.

Benefits & Perks!

• Competitive salary, annual bonus, and RSUs
• Medical coverage, including full dental and vision
• Life and disability benefits
• 401(k) program (US)  / retirement savings plan (Canada) with company match
• One month paid sabbatical after 5 years at the company
• Education reimbursement
• Professional development workshops & industry conferences
• Paid parental leave
• Flexible work schedule
• Social responsibility program (volunteer time off and donation matching)
• Annual wellness stipend
• Monthly tech stipend
• Annual family planning stipend
• Monthly snack boxes delivered to your door
• Cell phone allowance