Junior Applied Data Scientist

Junior Applied Data Scientist at Jerry.ai

Jerry.ai is a profitable pre-IPO startup experiencing significant growth ($240M funded, 60X revenue growth in 5 years) and is poised to disrupt a massive $2T market. We leverage cutting-edge GenAI technology, as highlighted in Forbes, and offer an environment for accelerated career growth. Join us to impact millions of users' car maintenance and auto insurance experiences.

About The Opportunity

We are seeking a detail-obsessed Applied Data Scientist to enhance our data analysis foundation. You will be responsible for ensuring data is clean, accurate, and reliable, acting as a detective to transform complex datasets into valuable assets for critical business decisions. This role offers end-to-end ownership, from raw data processing and model building to delivering tangible value in real-world applications. You will collaborate with engineers, product managers, and business analysts to maintain data integrity.

How you will make an impact

• Model Ownership: Participate in the full modeling lifecycle, including statistical analysis, experimentation, and building, validating, and iterating on machine learning models.
• Data Quality: Own the data foundation by preparing, cleaning, and transforming raw data into high-quality features. Proactively identify and handle missing values, outliers, and inconsistencies.
• Problem Investigation: Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks for data accuracy.
• Cross-Functional Collaboration: Act as a strategic liaison with data Engineering and product teams to drive the data strategy and definition of our centralized feature store, ensuring it becomes the 'single source of truth' for all ML models.
• Documentation: Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions.

Who You Are

• Obsessed with Details: Possess an exceptional eye for detail and a low tolerance for errors, believing accuracy and precision are paramount.
• A Strategic Thinker: Capable of seeing the bigger picture and passionate about building robust, long-lasting systems and processes.
• Proactive & Persistent: Actively seek out data quality issues and are persistent in resolving them from investigation to completion.
• Curious & Adaptive: Inherently curious, with a strong desire to understand how things work, comfortable with ambiguity, and skilled at breaking down complex problems.

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 for identifying and communicating data issues.

Jerry.ai is an Equal Employment Opportunity employer committed to diversity and inclusion. We offer a comprehensive benefits package including health, dental, vision, PTO, parental leave, 401(K) with match, and wellness benefits. Equity opportunities may be included. Accommodations are available for individuals with disabilities; please contact recruiting@jerry.ai.

Key skills/competency

• Data Scientist
• Data Quality
• Machine Learning
• Python
• SQL
• Data Cleaning
• Data Transformation
• Statistical Analysis
• Data Visualization
• Feature Store