Data Scientist - Marketing at Coursera

Short Description:

Coursera, a leading online learning platform, seeks a Data Scientist for marketing initiatives. The role involves guiding marketing strategies, optimizing analytical models, and collaborating with various teams to ensure content availability and enhance learner success. Responsibilities include analyzing prospect behavior, identifying growth opportunities, and advising on experimentation plans. The ideal candidate possesses a background in applied math or computer science, with experience in data analysis and statistical inference. Coursera is an Equal Employment Opportunity Employer, committed to diversity and inclusion.

Job Title: Data Scientist, Marketing
Company: Coursera
Location: India
Employment Type: Remote / Full-time

About the Company:

Coursera was founded in 2012 by Andrew Ng and Daphne Koller, two Stanford Computer Science professors, with the mission to provide universal access to world-class learning.
It's one of the largest online learning platforms globally, boasting 82 million registered learners as of March 31, 2021.
Coursera partners with over 200 leading university and industry partners to offer a wide range of content and credentials, including Guided Projects, courses, Specializations, certificates, and degrees.
More than 6,000 institutions have utilized Coursera to upskill and reskill their employees, citizens, and students, particularly in high-demand fields like data science, technology, and business.
Coursera became a B Corp in February 2021.

About the Role:

Join Coursera's mission to make education accessible worldwide.
Seeking passionate individuals to revolutionize the way people learn.
Coursera offers employment opportunities to qualified individuals worldwide.
Remote-first company with virtual interviews and onboarding.

Job Overview:

Seeking a collaborative Data Scientist to join the team.
Reporting to the Director of Data Science.
Providing technical guidance to a subset of the Analytics and Insights group.
Supporting various business lines including Industry and University Partnerships, Content/Credentials, Marketing, Finance, etc.

Responsibilities:

Guide planning, assessment, and execution of marketing initiatives.
Monitor and develop marketing KPIs, automate processes, and assist with data migration.
Provide technical feedback throughout project development stages.
Optimize analytical models, review code, create dashboards, and conduct experimentation.
Analyze the connection between consumer-focused business and learner pathways.
Collaborate with data engineering and operations teams to ensure content availability.
Analyze prospect behavior to identify global growth opportunities.
Develop and measure growth initiatives in collaboration with content, marketing, and product teams.

Detailed Responsibilities:

Plan, measure, and evaluate content, engagement, and customer success initiatives.
Identify gaps in content availability and recommend targeted content acquisition or improvement.
Define and develop KPIs, create reports to measure impact, and develop dashboards.
Run exploratory analyses, uncover new opportunities, create and test hypotheses.
Collaborate with data engineering and operations teams to support product needs.
Advise content, marketing, and product managers on experimentation and measurement plans.

Basic Qualifications:

Background in applied math, computer science, statistics, or related technical field.
3+ 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 skills.
Strong applied statistics and data visualization skills.
Proficient 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.
Experience with Airflow, Databricks, and/or Looker.
Experience with Amplitude.

Recommended Courses:

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

Equal Employment Opportunity:

Coursera is an Equal Employment Opportunity Employer.

Please click here to apply.

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