Staff Data Scientist

Job Overview:

At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.

We are looking for an experienced data scientist to spearhead insights generation and facilitate business decision-making for our Consumer product team. In this role, you will leverage your technical expertise in data science and solve some of the most complex problems in the Consumer organization. You will closely collaborate with product and marketing leadership to deliver strategic thought partnership, promote data-driven decision making, and champion data excellence. You will help develop the technical vision and define a roadmap for the Consumer data science team that best supports business strategy and goals. Our ideal candidate has a proven track record of technical expertise (product analytics, experimentation, and machine learning),  strong written and verbal communication, and a strong interest in expanding the reach and quality of online education.

Responsibilities:

• Develop measurement frameworks leveraging product analytics, experimentation and statistical analysis to shape the future direction of Consumer products and inform strategic priorities.

• Own the end to end experimentation experimentation and causal inference strategy  to improve learner experiences, inform product offering and pricing strategies and drive real impact.

• Contribute to the  technical vision for the Consumer data science team to support organizational business goals and data team priorities.

• Collaborate with the data engineering team to improve data collection processes and ensure accurate instrumentation for measurement strategies.

• Act as a technical advisor to leadership within data science and external teams through driving innovation, defining best practices, exploring novel statistical and experimentation tactics and methodologies. Drive clarity and solve ambiguous business problems using data-driven approaches.

• Coach, lead and advise other members of the Data Science teams and partners on ways to apply techniques that deliver highest accuracy and quality analyses and insights.

Basic Qualifications:

• MA or Ph.D. in  applied math, statistics, computer science, or a related technical field

• 8+ years of experience working with data in advising product or business teams

• 3+ years of applying statistical inference techniques to business questions

• Proficiency in analytical tools such as R, Python, or SQL, and experience with data visualization tools

• Hands-on experience with data management and orchestration tools (Airflow, Databricks and/or dbt)

• Excellent communication and stakeholder management skills

• Proven ability to act as a thought partner and thought leader with strong problem-solving and critical thinking skills

Preferred Qualifications:

• Experience at EdTech or online consumer product business

• Experience in causal inference methodologies

• 2+ years of experience in providing technical mentorship to data scientists

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

• Go Beyond the Numbers: Translate Data into Insights

• Applied AI with DeepLearning

• Probability & Statistics for Machine Learning & Data Science