Senior Manager, Data Science & Analytics

Liberty•Londonderry, NH

1d•Hybrid

About The Position

The Data Scientist (grade 9) will lead and guide the data science capabilities. The incumbent will work with other data scientists to develop and build ML/AI models and will work with the business on complex and advanced issues to establish requirements and data requests for strategic analytical projects. They stay up-to-date as a subject matter expert (SME) in the field of Data Science. They should obtain a thorough understanding of the business needs of organizations and the ability to generate high-level actionable insights using various methods. Function as an SME for the team and business and provide guidance to peers when advanced insights are necessary.

Requirements

Bachelor's Degree in Data Science, Data Analytics, or related field (Required)
7+ years advanced experience in data science, including projects/programs, problem solving/troubleshooting skills
Quantitative analytics and structured problem solving
Data Science theory and application
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems
Knowledge and understanding of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering
Lean Agile and Project Management knowledge
Strong communication skills, both written and verbal
Ability to compile, organize, interpret, and communicate data and results concisely
Process management expertise
Microsoft Applications

Responsibilities

Develop, create and conduct analytics initiatives from ideation through production and adoption, and have a detailed and deep understanding of the life cycle of an analytics initiative and the common and complex pitfalls and how to rectify
Responsible for planning, organizing, and controlling resources/processes to achieve project/program objectives within scope, time, quality, and budget constraints. Provide in-depth guidance to others to support the understanding of the process
Prioritize business initiatives and structure projects for optimum success while taking into consideration budget, head count, and regulatory requirements. Provide advanced support to the team when necessary
Operate as the SME to support the Data Analytics/Scientist team when advanced or complex issues arise, guide others and create solutions to systematic issues, plan gaps, and production/adoption issues. Utilize advanced expertise to solve complications
Independently evaluate, select, build, train, & apply the most effective modeling approach using Data Science theory
Interact with internal and external clients to identify, research and analyze situations to resolve highly advanced problems
Create, develop and communicate data science outputs and create models and solutions that provide insights for the business to interpret and execute successfully
Other duties as assigned or may be necessary