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Data Science Translator

About The Position

The Data Science Translator is responsible for contributing, both individually and as a part of a team, to design and implement processes related to predictive/analytical modeling, data mining and research on large scale, complex data sets. This position uses statistical analysis, graph modeling, text mining and other analytical techniques from initial data collection and conditioning to draw conclusions and results. This Data Science Translator position requires direct interaction with senior executives and directors to help identify important business problems and then plans, leads and collaborates with various internal and vendor teams, manages the lifecycle of analysis projects, and then communicates successful problem resolution through presentations and prototype demonstrations. 

Key responsibilities include:

  • Create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data
  • Continually explore innovative analytical techniques, processes, tools, etc., to bring the latest and greatest to the organization and to be a thought leader in the industry
  • Recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organizations operations and/or markets, evaluates the potential impact of changes, and reports on economic forecasts that affect the industry
  • Develop reports for management on the overall performance of business segments and develops metrics to measure various characteristics of the business
  • Collaborate with unit managers, end users, development staff, and other stakeholders to enhance operations by supplying data analytics insights into business processes
  • Collaborate and leverage the skills within the Data Analytics team to achieve desired results and increase adoption of analytics across the enterprise
  • Collaborate with others to define problems, collect data, apply advanced economic and mathematical concepts, establish facts and draw vivid conclusions
  • Partner with co-workers to recommend solutions to new and complex problems, develop innovative strategies, quantify the competitive performance of the organization's operations and/or markets, evaluate the potential impact of changes, and report on economic forecasts that affect the industry
  • Collaborate with unit managers, end users, development staff, and other stakeholders to enhance operations by supplying data analytics insights into business processes
  • Collaborate and leverage the skills within the Data Analytics Team to achieve desired results and increase adoption of analytics across the enterprise 

Qualifications

Bachelor's Degree in a technical discipline (e.g., computer science, engineering, mathematics, statistics or related field) required. MBA or advanced degree in Computer Science, Engineering, or Applied Math preferred.  Three or more years developing expertise or demonstrable knowledge in Big Data / Machine Learning / Data Science / IOT required. 

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

Proven experience with diagnosing data to develop successful business strategies or drive business value, preferably as an internal business leader; Competency and skill as a programmer with R, Python or related platform; Proven comfort and intellectual curiosity for working with very large sets of data, pulling in relevant team members to address identified – and sometimes undiscovered – business unit needs; Good communication skills; Understanding of utility industry with knowledge of how the business works; and the following Ameren competencies: Think Customer, Inspire and Engage, Foster Innovation, Drive Results, Champion Learning, Build Trust, and Be Strategic. 

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.

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