Sr. Manager, Data Science (Product & Engineering)

Chamberlain Group•Oak Brook, IL

About The Position

This is a role within CG's IT Advanced Analytics and Data group. A successful incumbent is expected to (i) Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals., and (ii) Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent. Requires 8+ years of relevant work experience; 2+ years directly managing data scientists and a minimum of a Bachelor's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study.

Requirements

8+ years of relevant work experience
2+ years directly managing data scientists
Bachelor's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
Expert knowledge of statistics and advanced analytical and machine learning techniques, including forecasting, predictive modeling, network and cluster analysis
Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented
Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors
Expertise directing, developing, and applying machine learning algorithms
Exceptional problem solving / analytical thinking skills
Outstanding communication skills, teamwork and collaboration, and attention to detail
Advanced expertise in Python, R, SQL
Experience working with data science tools (e.g., Databricks)
Experience with distributed compute
Experience manipulating, analyzing, and interpreting large-scale data
Experience scaling analytics in the cloud (e.g., Azure)

Nice To Haves

Master's or Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
Experience leading end-to-end data science project implementations working with Agile methodologies
Experience in analytical consulting roles

Responsibilities

Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent.
Drive development and execution of the data science methodology and practices strategy.
Lead technical engagements with business unit and function stakeholders, as well as senior leaders.
Be a catalyst for advanced analytics and data science across Chamberlain Group.
Educate business users on advanced analytical concepts.
Work with various teams to drive the adoption of insights, models, and other output and the realization of incremental impact.
Identify and apply innovative analytical techniques to achieve business objectives.
Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs, to enable business partners to make better data-driven decisions.
Identify and manage the relationship with outside data science resources and vendors.
Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
Protect Chamberlain Group’s reputation by keeping information confidential.
Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
Motivate and lead a high performance team by attracting, developing, engaging and retaining team members.
Drive the performance management and compensation processes by communicating job expectations, monitoring and evaluating performance, providing feedback and facilitating employee development per the company’s policies.
Maintain transparent communication by appropriately communicating organization information to team through department meetings, one-on-one meetings, appropriate email, IM and regular interpersonal communications.
Lead and motivate individuals and teams to create a workplace culture that is consistent with the CG mission, vision and values.