Senior Data Scientist

Coursera; United States; Remote; USD 51,000 - 64,000; Full time

Benefits offered by this job

Health benefits

RSU equity

Global perks

Job summary

Coursera in Mexico City is seeking a Senior Data Scientist to shape data-driven strategies across marketing and product. You will work with cross-functional teams to define KPIs, build data pipelines, and create dashboards that inform decisions and drive engagement at scale.

You will apply advanced analytics, A/B testing, and predictive modeling, turning insights into action. Collaboration with marketing managers, product managers, designers, and engineers will be key, with GenAI tooling as a

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical field.
• 6 - 9 years of experience using data to generate insights and recommendations for product or business teams.
• Strong SQL skills and advanced proficiency in Python with Pandas/NumPy.
• Knowledge of data pipeline development and best practices in data management.

Responsibilities

• Collaborate with marketing and product teams to define KPIs and assess impact on goals.
• Design and implement instrumentation for accurate tracking of user interactions.
• Develop and maintain data pipelines for analysis.
• Analyze user behavior to provide actionable insights for product enhancements.
• Create and automate relevant KPIs to monitor performance.
• Conduct A/B testing and experimentation to optimize features.
• Perform advanced analytics to uncover trends and guide decisions.
• Analyze feedback and survey data for improvements.
• Create dashboards and reports to visualize data for stakeholders.
• Leverage statistical analysis and predictive modeling to inform roadmap.

Skills

SQL

Python

Pandas

NumPy

A/B testing

Predictive modeling

Data visualization

GenAI tools

Business intuition

Education

Bachelor's or Master's in CS/Engineering/Statistics

Tools

Tableau

Power BI

Looker

Airflow

Databricks

Amplitude

Job description

At Coursera, we aim to allow employees to develop their skills and grow their careers. One way we do this is with internal transfers. In order to support open and fair transfers, we practice transparency and have set guidelines for who is eligible to request a transfer.

Anyone who has been in their role for more than 6 months and in good standing may apply for a new position at Coursera. For consideration outside this timeframe, individuals should talk to their manager and People Business Partner. Please be sure to read the our Internal Mobility Program Policy here.

We're a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones - creating opportunities for teams to do their best work together. Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere. If you're ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.

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 to help Coursera deliver effective content discovery and personalized learning at scale. 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 seeking a highly skilled and collaborative Senior Data Scientist to join our Data Science team. In this role, you will report directly to the Director of Data Science and play a pivotal role in shaping both our marketing and product strategies through data-driven insights and analytics. You will leverage your expertise in user behavior tracking, user segmentation, marketing performance measurement, instrumentation, A/B testing, and advanced analytics techniques to gain a deep understanding of user interactions and marketing effectiveness. Your insights will directly inform product development, enhance user experience, optimize campaign performance, and drive engagement across various segments.

Our ideal candidate possesses strong analytical skills, business acumen, and a deep understanding of marketing and product principles, along with the ability to translate analysis into actionable recommendations. You should have excellent written and verbal communication skills and excel in collaboration, working closely with cross-functional teams—including marketing managers, product managers, designers, and engineers—to ensure that data informs decision-making across both product and marketing.

Responsibilities:

• Collaborate with marketing and product teams to define KPIs and assess the impact of marketing efforts and product changes on business goals.
• Design and implement instrumentation strategies for accurate tracking of user interactions and data collection.
• Develop and maintain data pipelines to ensure seamless data flow and accessibility for analysis.
• Analyze user behavior to provide actionable insights that inform product enhancements and drive user engagement.
• Build and automate relevant KPIs to monitor business performance.
• Conduct A/B testing and experimentation to evaluate the impact of product features and optimize user experience.
• Perform advanced analytics to uncover trends and patterns in user data, guiding product development decisions.
• Analyze user feedback and survey data to gain insights into user satisfaction and identify areas for improvement.
• Create interactive dashboards and reports to visualize data and communicate findings effectively to stakeholders.
• Leverage statistical analysis and predictive modeling to inform product roadmap and strategic decisions.

Basic Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical field.
• 6 - 9 years of experience using data to generate insights and recommendations for product or business teams.
• Strong SQL skills and advanced proficiency in statistical programming languages such as Python, along with experience using data manipulation libraries (e.g., Pandas, NumPy).
• Knowledge of data pipeline development and best practices in data management.
• Strong applied statistics skills, including experience with statistical inference techniques, predictive modeling and A/B testing methodologies.
• Intermediate proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and a willingness to learn new tools as needed.
• Ability to quickly learn and leverage GenAI tools to design and implement custom automation agents.
• Excellent business intuition and project management abilities.
• Effective communication and presentation skills, with experience presenting to diverse teams and stakeholders, from individual contributors to executives.

Preferred Qualifications:

• Familiarity with the educational technology sector, specifically with platforms like Coursera
• Experience with Airflow, Databricks and/or Looker
• Experience with Amplitude

Compensation

At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.

This role is only available for hire in Mexico City.

Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring annual base salary range for this role in Mexico City is MXN 960,000 - MXN 1,200,000. Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits.

Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at [e-mail].