Head of Data Operations
Miter
AI Data Scientist
T. Rowe Price
full-time
Posted on:
Location Type: Hybrid
Location: New York City • Maryland, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $95,000 - $202,000 per year
Job Level
JuniorMid-Level
Tech Stack
AWSPandasPySparkPythonScikit-LearnSparkSQLTableauUnity
About the role
- Engage in all phases of the data science lifecycle: problem framing, exploratory data analysis, feature engineering, modeling, evaluation, deployment, and monitoring, with guidance from senior team members.
- Develop robust Python notebooks, jobs, and pipelines (using pandas, scikit-learn, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).
- Implement testing and quality checks, including unit tests, data validation, and drift/bias monitoring; maintain reproducible experiments and clear documentation.
- Participate in code and design reviews, use git and CI/CD, and manage technical debt.
- Clarify requirements, propose iterative solutions, and communicate findings to both technical and non-technical stakeholders.
- Collaborate with platform and governance teams to ensure security, lineage, and auditability.
Requirements
- BS/MS in a quantitative field or equivalent experience; 2+ years in data science or machine learning.
- Solid understanding of experimental design, model validation, metrics, and foundational MLOps concepts.
- Strong collaboration and communication skills, with a question-first approach; comfortable partnering directly with business stakeholders.
- Familiarity with AWS basics and git/CI workflows.
- Preferred: Experience with AI/Generative AI (LLMs, RAG, prompt engineering/evaluation).
- Advanced Python skills for data science (pandas, scikit-learn); experience with PySpark.
- Hands-on experience with Databricks (Delta Lake, MLflow, Jobs/Workflows) or equivalent Spark platforms, with a desire to expand expertise.
- Knowledge of time-series analysis or NLP; experience with BI/analytics tools (Databricks SQL, Tableau/Power BI, dbt).
- Familiarity with financial markets and instruments.
Benefits
- Competitive compensation
- Annual bonus eligibility
- A generous retirement plan
- Hybrid work schedule
- Health and wellness benefits, including online therapy
- Paid time off for vacation, illness, medical appointments, and volunteering days
- Family care resources, including fertility and adoption benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonpandasscikit-learnPySparkdata validationunit testingexperimental designmodel validationMLOpstime-series analysis
Soft skills
collaborationcommunicationproblem framingiterative solutionsstakeholder engagementquestion-first approachdesign reviewsclarifying requirementstechnical debt managementdocumentation
Certifications
BS in quantitative fieldMS in quantitative field
