Sr. Manager, Data Science (Product & Engineering)

Chamberlain Group

• $129K — $226K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in data science, statistics, mathematics, econometrics, engineering, or related field.
  • 8+ years of relevant work experience, including 2+ years managing data scientists.
  • Expert knowledge of statistics and advanced analytical techniques.
  • Proficient in programming languages such as Python, R, and SQL.
  • Experience with data science tools and cloud analytics platforms, such as Azure.

Responsibilities

  • Build strong relationships with business leaders to align analytics with strategic goals.
  • Lead and coach technical data scientists, overseeing talent recruitment and onboarding.
  • Drive the development and execution of data science methodologies.
  • Engage with stakeholders to promote advanced analytics and drive adoption of insights.
  • Educate business users on analytical concepts to improve data-driven decision-making.
  • Design and deploy advanced analytics models for predictive and prescriptive insights.
  • Identify and manage relationships with external data science resources.

Benefits

  • Comprehensive benefits package that may include health, dental, and vision insurance.
  • 401k contribution plan with eligibility requirements.
  • Participation in short-term incentive programs based on performance.
Full Job Description

Job Summary

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.


Essential Duties and 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 Groups 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
  • 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 Groups 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

Supervision Exercised

  • 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 companys 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.

Minimum Qualifications

Education/Certifications:


  • Bachelors 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)

Preferred Qualifications

Education/Certifications:


  • Masters or Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:

  • Experience leading end-to-end data science project implementations working with Agile methodologies
  • Experience in analytical consulting roles

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). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.

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