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Senior Data Scientist – Reinforcement Learning
WMSenior Data Scientist at Waste Management focused on reinforcement learning initiatives. Leading projects from problem framing to modeling and deployment in environmental services sector.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own reinforcement learning and agentic AI initiatives end to end, from problem framing and data exploration through modeling, validation, deployment, and measurement.
- Partner directly with business and senior leaders to clarify objectives, constraints, and success criteria.
- Prepare and deliver executive-ready presentations that explain methodologies and recommendations.
- Independently manage priorities, scope, timelines, risks, and stakeholder expectations.
- Design, build, and evaluate reinforcement learning models and agent-based systems.
- Apply advanced techniques including policy optimization, actor-critic methods, offline RL, and preference learning.
- Perform advanced data mining, simulation, feature engineering, and analysis on large datasets.
- Collaborate with engineering and platform teams to integrate models into production workflows.
- Produce clear, well-structured documentation covering problem definitions, methodologies, assumptions, results, and recommendations.
Requirements
What you’ll need- Bachelor's degree (accredited) in Economics, Applied Mathematics, Computer Science, or similar area of study, or in lieu of degree, High School Diploma or GED and 4 years of relative work experience.
- Five years of relevant work experience (in addition to education requirement).
- Master’s degree or higher in Statistics, Applied Mathematics, Operations Research, Computer Science, or related fields (preferred).
- 5+ years of experience applying advanced analytics or data science in a business environment (preferred).
- Strong programming skills in Python.
- Advanced SQL and experience with large-scale data platforms such as Snowflake.
- Knowledge and working experience in SAS toolsets (SAS training preferred).
- Programming experience (preferably in C or C#).
Benefits
Comp & perks- Medical
- Dental
- Vision
- Life Insurance
- Short Term Disability
- Stock Purchase Plan
- Company match on 401K
- Paid Vacation
- Holidays
- Personal Days
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
reinforcement learningagent-based systemspolicy optimizationactor-critic methodsoffline RLpreference learningdata miningfeature engineeringadvanced analyticsprogramming in Python
Soft Skills
problem framingdata explorationexecutive presentationspriority managementscope managementtimeline managementrisk managementstakeholder managementcollaborationdocumentation