Senior Data Scientist - Product Optimization

Key Skills

Amplitude, Apache Airflow, Data science techniques, Linux Operating system, Management, Python Programming, Shell Scripting language, SQL, Tableau

Job Description

Course Hero is hiring! We are looking for an experienced Senior Data Scientist to join our Data Science and Analytics team. In this role, you will work with big data sets, using deep statistical models, to drive actionable insights and tackle high-impact business problems. You will be telling the story behind your insights -- painting a picture to our functional partners, explaining what the numbers are telling us, and recommending product changes, new features, and A/B tests for implementation.

The Senior Data Scientist on the Product Optimization team will own the analysis and measurement to provide insights and recommendations for product development from user onboarding to content quality measurement. The ideal candidate will have experience and passion for product analytics and experiment design in the user onboarding and/or content quality optimization. Additionally, you have demonstrated strong product leadership to tackle ambiguous questions and uncover the recommendations to drive the product roadmap by delivering solid analyses. We are full stack Data Scientists, problem solvers that start from DWH tables (and sometimes raw data), explore data, build models, discover insights, overcome obstacles, and tell data stories.

Responsibilities:

• Identify patterns and trends on user behaviors as well as content attributes
• Build statistical and ML models to proactively identify optimization opportunities in user onboarding and content quality management.
• Manage experiments from design, data tracking to readout to maximize user market share and Course Hero’s return on investment; propose innovative A/B testing techniques to help us learn about our millions of users.
• Propose strategic initiatives and goals to help our functional partners to achieve their goals and drive growth.

Qualifications:

• 5+ years data science experience of continually increasing complexity and impact, preferably in one or more of the following Product Data Science spaces: conversion, user onboarding, or content management.
• A degree in a scientific or quantitative field like Math, Statistics, Economics, Computer Science/Engineering, or similar
• Very good proficiency in Python and hands-on skills in SQL
• Deep understanding of statistics and probability, quantitative sciences, data analysis, predictive, statistical and ML modeling
• Strong problem solving and communication skills; a bias towards taking action quickly, making things happen, learning and correcting course as you receive feedback
• Ability to communicate with a broad set of stakeholders including executives, product leaders, and engineering, including the ability to tell stories with data
• Track record of delivering decision support models and quantitative analysis with actionable insights and high business impacts

Bonus Points:

• Pricing and economic modeling experience to help price our products, including SKU design, price-elasticity measurement, and pricing optimization across cohorts, geos, and time including discounting.
• Experience with Payment System/Infrastructure or Purchase Checkout Flow
• Knowledge and experience working with Google Analytics, Tableau, Amplitude, Airflow, and Linux/Shell scripting
• Experience working in edTech or e-commerce domain

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
• Quarterly snack boxes delivered to your door
• Cell phone allowance

We are a virtual-first company and have employees dispersed throughout the United States and Canada. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed below. You may also be eligible to participate in our bonus program and may be offered an equity award, benefits, and other types of compensation.

This role is eligible for hire in Vancouver (Canada), and Toronto (Canada).

Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience!

Canada

LI-Hybrid

Equal ​Employment Opportunity Statement ​(EEO)

We are an equal opportunity employer and value diversity and ​inclusion within our company. ​We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender ​identity, gender expression, sexual orientation, age, marital status, ​veteran status, or ​ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.