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Cullerton Group
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https://www.cullertongroup.com/
https://www.cullertongroup.com/
USD
23400018000030
YEAR
true
Manager of Data Science
Posted: 01/05/2025
2025-01-05
2025-02-14
Job Number: 1467
Pay Rate: $234K ($180K + 30% bonus)
Work Location: Hybrid
: IT
Job Description
Cullerton Group has a new opportunity for a Manager of Data Science in Chicago, IL. The work will be done onsite three days a week. The rest will be work-from-home. This is a permanent job. Compensation is $234K total compensation ($180K + 30% bonus) including full benefits, vision, dental, health insurance, and 401K.
Manager of Data Science Job Description
The Manager of Data Science will lead and oversee the data science team, drive data-focused initiatives, and contribute to the development and execution of an overarching data strategy. This role involves close collaboration with enterprise analytics and business teams to identify challenges, design innovative data science solutions, and deliver actionable insights. The position is central to advancing data science capabilities and ensuring the successful delivery of analytics projects.
ESSENTIAL DUTIES AND RESPONSIBILITIES
· Lead and mentor a team of data scientists, providing technical guidance, expertise, and support to foster a collaborative and innovative environment while ensuring project success.
· Manage data science projects from start to finish, in coordination with Product Owners, covering problem definition, data exploration, model development, validation, and deployment.
· Apply advanced machine learning and statistical techniques to analyze complex data, uncover meaningful patterns, and build predictive and prescriptive models.
· Identify opportunities to enhance business operations, improve processes, and drive revenue growth by leveraging data science as part of a comprehensive data strategy.
· Work with stakeholders across various departments to understand data needs and deliver solutions aligned with business objectives.
· Stay informed about advancements in AI, machine learning, and data science by evaluating and adopting new tools, algorithms, and frameworks to enhance team capabilities.
· Ensure the creation and maintenance of documentation, including narrative wikis and version-controlled repositories for technical information.
· Operate within an agile framework to support iterative development and continuous delivery.
· Communicate effectively on technical and non-technical topics using various platforms, including email, chat, video, and voice calls.
QUALIFICATIONS AND SKILLS
· 8+ years of data science experience, with at least 3 years in a leadership or managerial role and a proven record of successful project delivery.
· Extensive experience with SQL for extracting data from databases or other sources.
· Proficiency in Python or R, along with commonly used libraries for data wrangling (e.g., pandas, tidyverse), modeling (e.g., scikit-learn, caret/tidymodels), and visualization (e.g., seaborn, ggplot2).
· Strong expertise in at least one advanced domain of data science, such as optimization, clustering, supervised learning, or time-series forecasting.
· Solid knowledge of descriptive and inferential statistics, including hypothesis testing and confidence intervals.
· Familiarity with enterprise data visualization tools (e.g., Tableau preferred).
· Experience with cloud data platforms (e.g., Azure or Snowflake preferred).
· Master’s degree preferred, with 7–10 years of related experience.
Manager of Data Science Job Description
The Manager of Data Science will lead and oversee the data science team, drive data-focused initiatives, and contribute to the development and execution of an overarching data strategy. This role involves close collaboration with enterprise analytics and business teams to identify challenges, design innovative data science solutions, and deliver actionable insights. The position is central to advancing data science capabilities and ensuring the successful delivery of analytics projects.
ESSENTIAL DUTIES AND RESPONSIBILITIES
· Lead and mentor a team of data scientists, providing technical guidance, expertise, and support to foster a collaborative and innovative environment while ensuring project success.
· Manage data science projects from start to finish, in coordination with Product Owners, covering problem definition, data exploration, model development, validation, and deployment.
· Apply advanced machine learning and statistical techniques to analyze complex data, uncover meaningful patterns, and build predictive and prescriptive models.
· Identify opportunities to enhance business operations, improve processes, and drive revenue growth by leveraging data science as part of a comprehensive data strategy.
· Work with stakeholders across various departments to understand data needs and deliver solutions aligned with business objectives.
· Stay informed about advancements in AI, machine learning, and data science by evaluating and adopting new tools, algorithms, and frameworks to enhance team capabilities.
· Ensure the creation and maintenance of documentation, including narrative wikis and version-controlled repositories for technical information.
· Operate within an agile framework to support iterative development and continuous delivery.
· Communicate effectively on technical and non-technical topics using various platforms, including email, chat, video, and voice calls.
QUALIFICATIONS AND SKILLS
· 8+ years of data science experience, with at least 3 years in a leadership or managerial role and a proven record of successful project delivery.
· Extensive experience with SQL for extracting data from databases or other sources.
· Proficiency in Python or R, along with commonly used libraries for data wrangling (e.g., pandas, tidyverse), modeling (e.g., scikit-learn, caret/tidymodels), and visualization (e.g., seaborn, ggplot2).
· Strong expertise in at least one advanced domain of data science, such as optimization, clustering, supervised learning, or time-series forecasting.
· Solid knowledge of descriptive and inferential statistics, including hypothesis testing and confidence intervals.
· Familiarity with enterprise data visualization tools (e.g., Tableau preferred).
· Experience with cloud data platforms (e.g., Azure or Snowflake preferred).
· Master’s degree preferred, with 7–10 years of related experience.
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