POSITION SUMMARY: Data Scientist III specializing in Generative AI and agentic architectures, with proven experience building and scaling end-to-end RAG solutions and autonomous AI agents, while embedding Responsible AI practices across model development, deployment, and governance.
The Data Scientist III drives internal data analytics projects. Projects will vary from short explorations of our data to longer-term implementations of advanced predictive and machine learning models. The Data Scientist III constantly explores our existing data while seeking out new data to consume. They apply analytical and data science methods to real world datasets to solve ongoing business problems. The Data Scientist III effectively communicates both technical and analytical concepts across all levels of the organization, and they influence the roadmap and decision-making through presentation of data-based recommendations .
PRINCIPAL RESPONSIBILITIES:- Builds robust Agentic AI and RAG applications using Responsible AI practices across model development, deployment and governance.
- Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas.
- Researches and resolves data inquiries and requests.
- Provides insights and serves as a subject matter expert for department data.
- Documents requirements for data science and reporting projects.
- Supports the development of standard data analyses, reports, and dashboards.
- Collaborates with other teams to gather data and build relationships.
- Transforms data into actionable insights and recommendations.
- Designs experiments and interprets the results to draw detailed and actionable conclusions.
- Builds statistical models to enhance understanding of trends and predicts future performance.
- Finds new opportunities and novel applications for our core internal data.
- Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences.
- Participates in end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking.
- Designs, validates, and evaluates solutions using Python, SQL and other programming tools.
- Educates and mentors team members on best practices for data analytics including data science techniques, statistical programming languages and packages, and data preparation.
- Performs other job-related duties as assigned or apparent.
KNOWLEDGE / SKILLS / ABILITIES: - Proficiency with programming in Python in data science and/or statistical analytics settings.
- Proficiency with relational databases and the ability to write SQL queries.
- Proficiency with Excel and PowerBI.
- Proficiency with cloud computing environments (e.g. AWS).
- Proficiency with Snowflake
QUALIFICATIONS: - Master's degree preferred.
- 5 years of demonstrated experience working with large databases to perform complex analysis.
- 5 years of demonstrated experience with statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees.
- Demonstrated expertise building and deploying machine learning/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment.
- Demonstrated expertise with common commercial analytics topics (e.g., pricing optimization, customer segmentation, customer churn/lifetime value, etc.) or operational analytics topics (e.g., logistics analytics, route optimization, maintenance optimization, etc.).
MINIMUM QUALIFICATIONS: - Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).
- 5 years of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms with large databases in cloud computing environments.
Rewarding Compensation and BenefitsEligible employees can elect to participate in:
• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts.
• Short- and long-term disability.
• Life insurance and accidental death & dismemberment insurance.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Employee Stock Purchase Plan (ESPP).
• Paid Time Off (PTO)
• Benefits: https://jobs.republicservices.com/us/en/about-us/benefits
The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position, and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumbent so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.
