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Data Scientist, Analytics
Coursera
posted 1d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
As a Data Scientist, you will assume responsibility for guiding the planning, assessment, and execution of our content initiatives and the subsequent engagement and learner and student success. You will play a key role in identifying gaps in content and proposing ways to acquire new, targeted content or enhance existing content, in addition to creating and leveraging forecasts of content pre and post launch, defining KPIs and creating reports for measuring the impact of diverse tests, product improvements, and content releases.
In this position, you will guide other Data Scientists and provide technical feedback throughout various stages of project development, including optimizing analytical models, reviewing code, creating dashboards, and conducting experimentation. You will examine and prioritize projects and provide leadership with insightful feedback on results.
Your role will require that you analyze the connection between our consumer-focused business and our learner s pathway to a degree, and optimize systems to effectively lead to the optimal outcome for our learners. In this position, you will collaborate closely with the data engineering and operations teams to ensure that we have the right content at the right time for our learners.
You will also analyze prospect behavior to identify content acquisition and optimization opportunities that promote global growth in the Consumer and Degrees business, and assist content, marketing, and product managers in developing and measuring growth initiatives; resulting in more lives changed through learning.
- In this role, you ll be directly involved in the planning, measurement, and evaluation of content , engagement, and customer success initiatives and experiments.
- Proactively identify gaps in content availability and recommend targeted content acquisition or improvement to existing content.
- Define and develop KPIs and create reports to measure impact of various tests, content releases, product improvements, etc.
- Mentor Data Scientists and offer technical guidance on projects; dashboard creation, troubleshooting code, statistical modeling, experimentation, and general analysis optimization.
- Run exploratory analyses, uncover new areas of opportunity, create and test hypotheses, develop dashboards, and assess the potential upside of a given opportunity.
- Work closely with our data engineering and operations teams to ensure that content funnel tracking supports product needs and maintain self-serve reporting tools.
- Advise content, marketing, and product managers on experimentation and measurement plans for key growth initiatives
Basic Qualifications:
- Background in applied math, computer science, statistics, or a 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
- Strong applied statistics and data visualization skills
- Proficient with at least one scripting language (e.g. Python), one statistical software package (e.g. R, NumPy/SciPy/Pandas), and SQL
Preferred Qualifications:
- Experience at 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 LookerExperience with Amplitude
Employment Type: Full Time, Permanent
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What people at Coursera are saying
Data Scientist salary at Coursera
reported by
2
employees
₹23.4
L/yr - ₹29.9
L/yr
87%
more
than the average Data Scientist Salary in India
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What Coursera employees are saying about work life
based on 29 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Coursera Benefits
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