Senior Manager, Data Science

About the role

This hands-on role is responsible for working closely with business partners to identify opportunities where the application of innovative data science techniques and methods can dramatically advance Chamberlain Group’s business objectives. You will transform these priority opportunities into incremental business value by leading, managing, and coaching data scientists in the design, development, and deployment of solutions to support Chamberlain Group’s transformation and rapid growth.

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.
• 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.

Requirements

• Education/Certifications: Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study.
• Experience: 8+ years of relevant work experience; 2+ years directly managing data scientists.
• Knowledge, Skills, and Abilities: 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); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure).

Qualifications

• Education/Certifications: Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study (preferred).
• Experience: Experience leading end-to-end data science project implementations working with Agile methodologies; experience in analytical consulting roles (preferred).

Skills

• 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); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure).

Benefits

The pay range for this position is $129,700.00 - $226,900.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements).

Pay

The pay range for this position is $129,700.00 - $226,900.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience.

Schedule

N/A