Senior Data Scientist at Coursera

Short Description:

Coursera, a leading online learning platform, is seeking a Senior Data Scientist for their remote team in India. Reporting to the Director of Data Science, the role involves influencing strategies and roadmaps for various business units, with a focus on content performance forecasting, A/B testing, and actionable insights. The candidate will guide other Data Scientists, optimize analytical models, and collaborate with cross-functional teams to ensure optimal learner success. Key responsibilities include content strategy planning, prospect behavior analysis, and experimentation for growth initiatives. Basic qualifications include a background in applied math or related fields, 4+ years of data advisory experience, and proficiency in statistical tools and scripting languages. Coursera is an Equal Employment Opportunity Employer.

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Senior Data Scientist, Reporting

Coursera · India
Remote Full-time

About the Job

Coursera, founded in 2012 by Stanford Computer Science professors Andrew Ng and Daphne Koller, aims to provide universal access to world-class learning. With 136 million registered learners as of September 30, 2023, Coursera has become one of the largest online learning platforms globally. Partnering with over 300 leading institutions, Coursera offers a diverse catalog of content, including courses, Specializations, Professional Certificates, Guided Projects, and degrees. Coursera is a B Corp since February 2021, committed to creating a world where education transforms lives.

Join our mission and be part of a globally diverse team. We extend employment opportunities to individuals in any country where we have a legal entity, provided they possess eligible working rights and have a compatible timezone overlap for seamless collaboration. As a remote-first company, our interviews and onboarding are entirely virtual, ensuring a smooth experience for candidates.

Job Overview

We are looking for a highly skilled and collaborative Senior Data Scientist to join our team. Reporting to the Director of Data Science, you will work with the Analytics and Insights group, providing support to business lines such as Industry and University Partnerships, and Content/Credentials for Product, Marketing, Content, Finance, and Services.

As a Senior Data Scientist, you will influence strategies and roadmaps for business units, providing actionable insights. Your responsibilities include forecasting content performance, informing content acquisition, addressing A/B testing setups, defining metrics, building dashboards, causal inference and ML modeling, and supporting business event tracking.

The ideal candidate is a creative and collaborative Data Scientist capable of proactively driving results and providing guidance on statistical modeling, experimentation, data analysis, and data quality best practices.

Responsibilities

1. Content Strategy:

   • Guide planning, assessment, and execution of content initiatives.
   • Identify gaps in content and propose ways to acquire new, targeted content.
   • Create and leverage forecasts of content pre and post-launch.
   • Define KPIs and create reports for diverse tests, product improvements, and content releases.

2. Leadership and Collaboration:

   • Provide technical feedback to guide other Data Scientists throughout project development.
   • Optimize analytical models, review code, create dashboards, and conduct experimentation.
   • Examine and prioritize projects, offering insightful feedback to leadership.

3. Learner Success:

   • Analyze the connection between consumer-focused business and learner pathways to optimize systems for learner success.
   • Collaborate with data engineering and operations teams to ensure the right content at the right time for learners.

4. Prospect Behavior Analysis:

   • Analyze prospect behavior to identify content acquisition and optimization opportunities.
   • Assist content, marketing, and product managers in developing and measuring growth initiatives.

5. Experimentation and Measurement:

   • Proactively identify gaps in content availability and recommend targeted content acquisition or improvement.
   • Define and develop KPIs, create reports, and advise on experimentation and measurement plans for growth initiatives.

Basic Qualifications:

• Background in applied math, computer science, statistics, or a related technical field.
• 4+ years of experience using data to advise product or business teams.
• 2+ years of experience applying statistical inference techniques to business questions.
• Excellent business intuition, cross-functional communication, and project management.
• Strong applied statistics and data visualization skills.
• Proficiency in at least one scripting language (e.g., Python), one statistical software package (e.g., R, NumPy/SciPy/Pandas), and SQL.

Preferred Qualifications:

• Experience in EdTech or Content Subscription business.
• Experience partnering with SaaS sales and/or marketing organizations.
• Experience working with Salesforce and/or Marketo data.
• Familiarity with Airflow, Databricks, and/or Looker.
• Experience with Amplitude.

If this opportunity interests you, you might like these courses on Coursera:

• Go Beyond the Numbers: Translate Data into Insights.
• Applied AI with Deep Learning.
• Probability & Statistics for Machine Learning & Data Science.

Coursera is an Equal Employment Opportunity Employer.

Please click here to apply.

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