Data Scientist

About the Role

Key Responsibilities

• Build machine learning models on internal data to address business issues and improve KPIs like retention.
• Deploy models and continuously maintain and enhance production pipelines to facilitate their use by internal stakeholders.
• Partner with Marketing, Customer Success, Sales, and Product Teams to drive customer retention.
• Present technical findings to non-technical audiences and translate complex quantitative data into succinct actionable insights.
• Work with members of multiple departments to understand processes, data, and reporting requirements.

Requirements

• Bachelor's degree (Master's preferred) in a quantitative field such as Statistics, Computer Science, Math, Physics, etc.
• At least 2 years of experience in an analytical and/or data science role within a business environment, or a similar duration of experience from a PhD research program.
• Fundamentals of statistics with a working understanding of machine learning algorithms and their applications.
• Experience in SQL, Python, and PySpark is strongly preferred.
• Experience working in Big Data and Cloud systems (e.g., AWS, Databricks, S3, EMR, Hive, Presto) is strongly preferred.
• Experience using collaborative tools like Git for version control and code management.
• Excellent communication skills, with the ability to convey complex data insights to non-technical audiences.
• Demonstrated intellectual curiosity with a desire to learn and grow, including seeking and valuing technical feedback.

Nice to Have

• Experience working in Big Data and Cloud systems (e.g., AWS, Databricks, S3, EMR, Hive, Presto).
• Experience in collaborative tools like Git.

Qualifications

• Bachelor's degree (Master's preferred) in a quantitative field such as Statistics, Computer Science, Math, Physics, etc.
• At least 2 years of experience in a relevant analytical or data science role or equivalent experience from a PhD research program.

Benefits & Perks

• Comprehensive health benefits, life and disability insurance, and fertility and family-forming support programs.
• Generous paid time off, paid holidays, volunteer time off, and quarterly self-care days and no meeting days.
• Tuition and reading reimbursement programs to support your continuous learning and professional growth.
• Thrive Global Wellness Program, confidential Employee Assistance Program (EAP), as well as One to One Wellness Coaching.
• Employee programs—including Employee Resource Groups (ERGs), GoTo Gives, and charitable matching programs.