• 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:

• Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets

• Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed

• Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis

• Conducts exploratory data analysis from complex data sources and builds key data sets

• Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities

• Translates complex business requirements and technical designs into data science solutions aligned to business goals that deliver measurable value to the organization

• Designs and develops data science solutions that provide new ways of thinking about business problems in alignment with enterprise architecture direction and design standards

• Designs data science models to predict outcomes or impact of key decisions

• Manages the development of portfolio of reports, designs and creates reporting and visualization for communicating data models.

• Applies latest cutting-edge research on data science and model development; analyzes and develops recommendations for senior data scientists

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

• Applies machine learning models to solve business problems with multiple stakeholders

• Develops tests for evaluating algorithms and machine learning system

• Understands the Digital organization’s objectives, and the impact on own projects; contributes to development of new data science strategies

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

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

• Demonstrates strong working knowledge of agile software development processes and the development lifecycle; liaises with scrum masters and coaches to move projects forward

• Manages delivery of projects in partnership with business stakeholders by demonstrating a deep understanding of business needs and how technical analysis can produce solutions

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

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

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

• 5+ years of relevant experience

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

• Experience using predictive analytics in a business setting preferred

Qualifications - Lead Data Scientist

• 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

• Databricks experience preferred

• Effectively manage very large datasets

• Advanced ability to work with machine learning data sets

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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