Senior Data Scientist

Job Description

Senior Data Scientist

Marketing Analytics Team Santa Clara, CA | Chegg Headquarters 

The organization: 

The Marketing Analytics group at Chegg is a key group that enables data-driven decision-making at Chegg – we use data and analyses to support every business line as well as the marketing and product organizations.  It is a team composed of analysts and data scientists.  

 
This group is part of the Marketing organization at Chegg. We use a world-class set of instrumentation, analysis, and data science technologies to transform our data into insights and then into knowledge. 
 
We heavily partner with our marketing partners & leaders to ensure insights delivered are directly usable for decision making and ultimately add value to Chegg. 
 
In short, we are a diverse team who absolutely love working with data to help Chegg deliver on our Student First mission! 

The role: Senior Data scientist 

We are looking for a Senior Data scientist to help support the overall marketing strategy at Chegg. You will partner with the marketing, product, and business teams to guide key decisions based on your analyses and insights. You will present recommendations for effective user acquisition to key marketing and other stakeholders. Key to the role is having the curiosity, domain expertise, and technical skills to understand and quantify efforts that impact user acquisition and retention. Working with other Analytics team members, you will balance multiple analytics efforts with several organizations, leveraging innovative problem-solving methods to deliver key insights that drive new user growth, longer retention, and better student experience.  
 
Responsibilities: 

·        Conduct and present deep dive analyses & ad-hoc analyses to inform roadmap decisions and investments. 

·        Collaborate closely with marketing channel managers to support optimization of marketing strategy and enhance efficiency.  

·        Partner with product and other analytics teams to ensure we have visibility into all new initiatives and their impact across multiple businesses. 

·        Design experiments and conduct A/B tests to present insights to stakeholders to drive strategic and operational changes in budgeting and marketing initiatives 

·        Leverage data to provide insights into user behavior and an extra layer of analysis on top of A/B tests. 

·        Build interactive dashboards using data pipelines and visualization tools to monitor KPIs. 

·        Create compelling presentations/analysis summaries to provide actionable recommendations with key insights. 

Requirements: 

·        4+ years of demonstrated success in product analytics and/or data science in a B2C business. 

·        Bachelor’s degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics) required. Master’s degree in a quantitative field preferred. 

·        Strong technical skills and proficiency in SQL, R, Python for data analysis, modeling, and visualization. 

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