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Ameren Senior Data Scientist in St. Louis, Missouri

If end date is listed, the posting will come down at 12:00 am on that date:

About The Position

  • Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts. May create specifications for reports based on business requests.

  • Designs, develops and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources to generate actionable insights and solutions for client services and product enhancement. Analyzes and models data to understand complex business issues and provide insight to decision makers. Integrates data from multiple sources to produce requested or required data elements. Programs and maintains reports, information dashboards, data generators, canned reports and other end-user information portals or resources.

  • Uses advanced mathematical and statistical concepts and theories to analyze and collect data; identifies and interprets trends and patterns in datasets

  • Supports complex business problems and issues using unstructured data from internal and external sources to provide insight to decision-makers

  • Builds or defines machine learning solutions that create value for the business

Key responsibilities include:

  • Coaches junior co-workers to apply advanced analytics techniques through broad parameters on big, unstructured data sets; works with most complex big data sets

  • Provides guidance on design of databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed

  • Directs exploratory data analysis from complex data sources and builds complex data sets

  • Collaborates with Data Engineers to identify relevant data sets; engages with Data Engineers to review and provide feedback on data pipelines, and optimization opportunities

  • Takes an active role in determining overall data science strategies, and helps define and direct the continuing evolution of the data science discipline to meet the changing business needs of the enterprise

  • Communicates with various business areas to gather and prioritize their business requirements

  • Monitors the effectiveness and performance of data science solutions and services to the business and directs efforts to continually improve the business value of these services

  • Designs complex data science models to predict outcomes or impact of key decisions; contributes to development of critical, transformative business strategy

  • Manages the development of portfolio of reports and visualization for communicating data models

  • Reviews and applies latest cutting-edge research on data science and model development; develops

  • technical recommendations for senior data scientists

  • Brings external machine learning point of view and best practices to the organization

  • Oversees the design of automated, operational analytics processes to achieve scale and durability of analysis processes using Python, R, SAS, or other leading open source statistical tools

  • Designs testing strategy for evaluating algorithms and machine learning system

  • Socializes machine learning design and outcomes with business leaders

  • Leads the development and enhancement of enterprise-wide data science solutions in support of the Digital organization’s objectives

  • Leads development of proof-of-concept prototypes to prove out hypotheses

  • Manages stakeholders across multiple functions to implement the models into production and monitors their performance

  • Acts as data science lead on agile teams; leads and guides team members on development practices in agile environments; collaborates with scrum masters and coaches to move projects forward

  • Partners with senior management across the organization to develop data infrastructure methodology for Ameren

  • Coaches co-workers and provides feedback to enhance skills and knowledge


  • Bachelor’s degree required, preferably in mathematics, statistics, computer science or business

  • 7+ years of relevant experience

  • Consideration will be given to candidates with Advanced Degree and five or more years of relevant experience

  • Experience using predictive analytics in a business setting preferred

In addition to the above qualifications, the successful candidate will demonstrate:

  • Deep knowledge of a scripting or statistical programming language such as Python, R, SAS, or other leading statistical tools with a preference for Python or R

  • Advanced SQL

  • Effectively manage very large datasets

  • Advanced ability to work with machine learning data sets

Additional Information

Ameren’s selection process includes a series of interviews and may include a leadership assessment process. Specific details will be provided to qualified candidates.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, disability, genetic information, military service or status, pregnancy, marital status, sexual orientation, gender identity or expression, or any other class, trait, or status protected by law.