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Role description

Data Leaf Buyer, LLC: Data Science Manager, Workforce Transformation: – Greenwood Village, CO

Data Society logoData Society
AI-native
TypeFull-time
WorkplaceRemote
SeniorityMid-level
Salary$146,000–$150,000
LocationGreenwood Village, CO
Engineering

Data Leaf Buyer, LLC: Data Science Manager, Workforce Transformation: – Greenwood Village, CO

Data Society Group is hiring a Data Science Manager in our Workforce Transformation Practice. 

DUTIES:

  • Lead the design and architecture of AI-powered internal applications and automation tools using Python and ML principles.
  • Oversee the end-to-end development lifecycle for technical training products, including requirements gathering, design, content development, technical implementation, and delivery for enterprise client programs
  • Develop data-driven dashboards and engagement reporting systems to optimize operational efficiency and workflow scalability.
  • Partner with cross-functional leadership to architect customized AI/ML learning solutions for enterprise clients and support client capture through technical scoping and proposal input.
  • Identify operational inefficiencies across training development workflows and implement scalable automation and process improvements.
  • Drive strategic development of internal learning systems and automation capabilities to improve training delivery and maintenance operations.
  • Modernize technical curricula by integrating emerging AI/ML tools, frameworks, and industry best practices.
  • Manage project scoping, resource planning, and effort estimation for complex data science initiatives.
  • Establish technical standards and quality governance for internal codebases and training materials.
  • Direct and mentor a multidisciplinary team of data science professionals.

REQUIREMENTS:

  • Master’s degree or foreign equivalent in Information Systems, Computer Science, Data Science, or in a closely related technical field
  • 4 years of experience with data science, technical product management, and/or AI consulting in a client-facing capacity.

Position also requires any amount of experience with each of the following:

  • Technical curriculum design or enterprise-level instructional solution architecture.
  • Leadership or management role, including cross-functional stakeholder management.
  • Experience translating complex client requirements into structured technical learning programs.
  • Experience driving process improvements, internal tooling development, and/or automation initiatives that improve operational efficiency.

TELEWORK: 100% remote – position may be performed from anywhere in the US

SALARY: $146,000-150,000 per year

LOCATION: 8400 E. Crescent Pkwy, Suite 613, Greenwood Village, CO 80111                       

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Company info

Data Society logo

Data Society

WHO WE ARE: Data Society provides industry-tailored, high-quality data science training and advisory services for corporations and government agencies with a desire to make data driven decisions. We believe that modern organizations need to be equipped to make data driven decisions that significantly amplify the effects of existing subject matter expertise. These skills result in increased efficiency and more accurate analyses for research and operations. In order for organizations to become more data driven, they must develop a common data vocabulary across leadership, analysts and generalists. They must also empower their managers and technical staff with appropriate data science skills. Data Society solves both of these needs through customized data science workshops and online learning that help organizations stay competitive and accomplish their missions. OUR VISION: We are passionate about increasing data literacy on a global scale so that organizations and their employees can b

Founded2014
HQWashington, US
Size
Unlock human wisdom
ThesisTermsPrivacy
65 employees
IndustryInformation Services
Tech stackvisual-studio-code, resonate, xperience, docebo, jupyter, microsoft-azure-synapse, power-bi, sage-intacct, ml-flow, microsoft-forefront

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