Data Science Manager manages teams tasked with identifying trends, patterns, and anomalies found in big data sets and used to develop insights by performing extensive data analysis. Oversees the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Being a Data Science Manager manages the design and implementation of big data solutions for the organization. Uses extensive knowledge and research into big data tools to guide data scientists' adoption and use of new and existing tools. Additionally, Data Science Manager typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to senior management. The Data Science Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Science Manager typically requires 5 years experience in the related area as an individual contributor. 1 - 3 years supervisory experience may be required. Extensive knowledge of the function and department processes. (Copyright 2024 Salary.com)
ClientSolv Technologies is an IT solution firm with over a decade of experience serving Fortune 1000 companies, public sector and small to medium sized companies. ClientSolv Technologies is a woman-owned and operated company that is certified as a WMBE, 8a firm by the Federal government's Small Business Administration.
We are seeking a Data Science Manager for a direct-hire/permanent role in Englewood, CO.
In this role, you will be managing and mentoring two junior team members, as well as helping key stakeholders investigate, acquire data for, and visually represent key insights related to how the stakeholders’ processes, systems, programs and offers, initiatives, and individual team members are performing and how they can do things faster, easier, and with better results.
Additionally, you will help the Analytics team to consult with internal partners on their specific needs and make informed recommendations to them. Once we understand their use case and needs, we will design a wireframe for the project, present the wireframe’s functionality, scope data requirements, get any advanced backend solutions implemented, and consult with the Business Analytics Data Scientist on any advanced statistical or analytical needs. Once the project’s requirements are fully scoped, and backend work is in place, we will build the required architecture, build the frontend for the stakeholder, present the dashboard, and publish it with the appropriate data governance rules in place.
Responsibilities Include
5 years of experience in one or more of the following:
· Data Analyst / Scientist
· Reporting Analyst / Developer
· Business Intelligence Analyst
· Business Operations Analyst
This direct hire role will be located in Englewood, CO. This role will work in the office Monday-Friday during normal business hours (no remote options).