Applied Data Scientist
About The Position
We are looking for a detail-obsessed Applied Data Scientist to join our growing team. The ideal candidate is passionate about the foundational layer of all data analysis: ensuring our data is clean, accurate, and reliable. You are a detective at heart, driven by a deep curiosity to understand complex data systems, and someone who finds immense satisfaction in transforming messy, ambiguous datasets into pristine assets that drive critical business decisions. This role is perfect for a scientist who wants to own the entire journey: from taking raw application data to generating clean inputs, to building models and delivering tangible value in real-world applications. You will be a central point of contact, communicating with engineers, product managers, and business analysts to ensure data integrity from collection to analysis.
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 help identify and communicate data issues
Responsibilities
- Model Ownership: 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
- Data Quality: Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling. Proactively identify and handle missing values, outliers, and inconsistencies
- Problem Investigation: Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy
- Cross-Functional Collaboration: Act as a strategic liaison, collaborating 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
Benefits
- health, dental, and vision coverage
- paid time off
- paid parental leave
- 401(K) plan with employer matching
- wellness benefits
- Equity opportunities
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Telecommunications
