Manager, Data Science/ML/AI

Kansas City/St. Louis/Seattle Digital Insights - Insights Full Time

The Manager, Data Science/Machine Learning/AI will lead a team of consultants through the design, development and enhancement of data and Advanced Analytics solutions, both as independent projects and as part of cross functional teams. As part of the Digital Insights service line, the Manager will collaborate with Architects, Project Managers and other team Managers to ensure optimized delivery of solutions. The Digital Insights Manager will have a strong technical background as well as extensive experience leading large and highly technical projects. As a technical leader, the Digital Insights Manager will set strategic direction for the team in alignment with industry trends.  

General Description & Responsibilities

  • Lead a core Digital Insights team, acting as a mentor, lead and coordinator
  • Provide direct performance management of team members through 1:1 meetings, regular communication with project teams and formal performance reviews
  • Be responsible for new talent evaluation, acquisition and onboarding
  • Guide and oversee the professional development of team members through coaching and training
  • Maintain the applicable Microsoft Competency designations for the team as part of individual and group training plans
  • Coordinate with the Architecture and other technical teams to define and implement the latest software technologies within the team
  • Manage the technical assets for multiple projects as a cross functional technical lead
  • Assist in new business development and presales through the development of proposals, SOW’s and RFP’s.
  • Ability and experience with interfacing directly with client stakeholders 
  • Ability to analyze large, complex, multi-dimensional datasets with a variety of tools 
  • Ability to immerse yourself into a business, gain context, identify value, and set direction for how data is aggregated, consumed, and visualized 
  • Strong collaboration skills, works well with ambiguity, works well across roles and groups 
  • Experience with several statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and estimation and regression methods 
  • Ability to engage directly with the customer and end users  
  • Ability to perform ad-hoc analysis on structured and unstructured datasets 
  • Ability to translate difficult, technical concepts into business jargon  
  • Ability to prioritize and manage time effectively  
  • Ability to collaborate with other members of the Engineering department, including Project Managers, Software Engineers and Business Analysts 
  • Placement Criteria & Requirements

  • 5+ years in SQL Server and Tools - SQL Server Database Engine. 2008 R2 or higher; SQL Server Integration Services (SSIS). 2008 R2 or higher; SQL Server Reporting Services (SSRS). 2008 R2 or higher; SQL Server Analysis Services (SSAS). 2008 R2 or higher (Tabular & Multidimensional); T-SQL, MDX, DAX  
  • 5+ years of database design and development (2-5 years) - Procedures, Functions, Tables and Views; Normalized and Dimensional data modeling; Data Visualization (Excel, PowerPivot, PowerView, Performance Point); OLAP Cube design, multidimensional and tabular   
  • 3-5 years of experience in statistical modeling and/or data mining (SSAS, R, Python – clustering, regression, estimation, correlation 
  • 3+ years of experience in a consulting or professional servicees environment 
  • 1+ year of experience in Power BI 
  • Proficient using Big Data querying languages (Hive, Pig, SCOPE, etc) 
  • Experience with NoSQL Databases, such as MongoDB, HBase, etc 
  • Strong technical ability with Tabular and Multidimensional cubes 
  • Strong technical ability with Cortana Analytics – Power BI, Azure SQL DW, HDInsight, Azure Data Factory, Azure Machine Learning, Stream Analytics 
  • Preferred Education - Master’s Degree or Ph.D in Computer Science, Artificial Intelligence, Data Mining, Operations Research, Applied Statistics, or a related field; Microsoft Certification; MCSA SQL Server 2012; MCSE Data Platform, MCSE Business Intelligence 
  • Kansas City/St. Louis/Seattle

    Manager, Data Science/ML/AI