🚀 Applied Data Scientist

Applied Data Scientist

We are looking for a meticulously detail‑obsessed Applied Data Scientist to join our growing team. The ideal candidate is passionate about ensuring data is clean, accurate, and reliable, a detective at heart who transforms messy data into assets that drive critical business decisions.

About the Opportunity

Join a profitable pre‑IPO startup with capital, traction, and runway ($240 M funded | 60X revenue growth in 5 years | $2 T market size). Work closely with leaders from Amazon, Better, LinkedIn, McKinsey, BCG, Bain to disrupt a massive market and take us to a $10B business in the next few years. Our growth is driven by forward‑thinking technology and a talent‑dense environment that will accelerate your career growth.

Responsibilities

• Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges.
• Own the data foundation: prepare, clean, transform raw, complex data into high‑quality features for modeling. Proactively identify and handle missing values, outliers, and inconsistencies.
• Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy.
• Collaborate strategically with data engineering and product teams to drive the data strategy and define the centralized feature store, ensuring a single source of truth for all ML models.
• Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions.

Who You Are

• Obsessed with details: You have an exceptional eye for detail and a low tolerance for errors.
• Strategic thinker: You can see the bigger picture and build robust systems that stand the test of time.
• Proactive & persistent: You actively seek out data quality issues and persist until resolution.
• Curious & adaptive: You enjoy understanding how things work and thrive in ambiguity.

Requirements

• Education: Bachelor’s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.).
• Programming: Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation.
• Data quality: Hands‑on experience with data cleaning techniques and data validation frameworks.
• Tooling: Familiarity with data visualization tools to identify and communicate data issues.

Compensation

The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job‑related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. In addition to base salary, compensation may include opportunities for equity grants.

Benefits

We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(k) plan with employer matching, and wellness benefits. Equity opportunities may also be part of the total rewards package. Part‑time, contract, or freelance roles may not be eligible for certain benefits.

Equal Opportunity Employer

Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at