DS Manager at Zebra Technologies in Remote
Overview Serving Fortune 1000 companies globally, antuit.ai - part of Zebra Technologies - is rethinking the way retail and consumer products companies use AI to solve real business problems. Antuit.ai offers solutions that inform the most important business decisions, from supply chain to merchandising to marketing, empowering world-class retailers and consumer products companies to digitally transform their businesses to achieve substantial business results. Helps translate high level business problems into actionable and tangible Data Science projects. Analyzes, designs, develops, implements and maintains data science constructs, algorithms, programs, Statistical / Machine Learning Models, decision support system, Artificial/Augmented Intelligence systems using structured, unstructured, diverse ?big data? sources of from measurement systems, IoT, human observations to provide real life business problem solutions and product features/enhancements. Work is accomplished without considerable direction. Exerts significant latitude in determining objectives of assignment to create tangible impact in driving success factors and great experience for our customers and product users. Responsibilities Responsibilities includes, but are not limited to the following:
Thought leadership and problem-solving using data science for retail and CPG clients. The primary areas of focus are product lifecycle pricing, personalization, segmentation, revenue growth management, test and learn and other analytical use cases (ex. promo effectiveness, marketing mix) of customer data from paid and owned sources. Interface with clients, as needed, to present approaches and complex concepts, in addition to new solutions to problems Work alongside subject matter experts in loyalty marketing, and other areas, to craft innovative analytical approaches, business solutions and offerings to solve client problems Lead and manage data engineering and data science teams to formulate solution approaches, recommend tech stack(s) and deploy analytical projects Mentor the data science group more broadly on technical skillsets, problem solving abilities and client issues Serve as the go-to expert, cognizant of advancements in the marketplace (such as the use of AI), while also bringing fresh, innovative ideas to both clients and internal teams Work with the BUs and practices to create new market offerings and improvements from marketplace experience Design, develop, test, and implement robust machine learning algorithms Create meaningful presentations and analyses that tell a story focused on insights, to communicate the results and ideas to key decision makers in Antuit and client companies Qualifications Minimum:
Master's or PhD in Math, Statistics, Computer Science, or any of the physical sciences is preferred with 8
years' work experience. Experience should include active management of data science and engineering teams in the retail and CPG industries, either as an industry insider, or in a consulting role. Strong knowledge in Advanced Statistical Techniques, such as Time Series Analysis, Cluster Analysis, and Regression Analysis etc. Preferred:
Previous experience in product management and/or pre-sales is a plus Skilled in designing and developing big data algorithms, primarily using open source programming languages. Expertise scaling them in cloud environments to process many millions of decisions, daily Excellent verbal and written communication skills, specifically in technical communications. Strong inter-personal skills, and a desire to work collaboratively Demonstrated ability to achieve stretch goals in an innovative and fast paced environment Demonstrated ability to learn new technologies quickly and independently. Passion for developing and maintaining a high-quality code and test base, and enabling contributions from data scientists across the team
Salary Range:
$250K -- $500K+
Minimum Qualification
Data Science & Machine Learning, Technology ManagementEstimated Salary: $20 to $28 per hour based on qualifications.
Thought leadership and problem-solving using data science for retail and CPG clients. The primary areas of focus are product lifecycle pricing, personalization, segmentation, revenue growth management, test and learn and other analytical use cases (ex. promo effectiveness, marketing mix) of customer data from paid and owned sources. Interface with clients, as needed, to present approaches and complex concepts, in addition to new solutions to problems Work alongside subject matter experts in loyalty marketing, and other areas, to craft innovative analytical approaches, business solutions and offerings to solve client problems Lead and manage data engineering and data science teams to formulate solution approaches, recommend tech stack(s) and deploy analytical projects Mentor the data science group more broadly on technical skillsets, problem solving abilities and client issues Serve as the go-to expert, cognizant of advancements in the marketplace (such as the use of AI), while also bringing fresh, innovative ideas to both clients and internal teams Work with the BUs and practices to create new market offerings and improvements from marketplace experience Design, develop, test, and implement robust machine learning algorithms Create meaningful presentations and analyses that tell a story focused on insights, to communicate the results and ideas to key decision makers in Antuit and client companies Qualifications Minimum:
Master's or PhD in Math, Statistics, Computer Science, or any of the physical sciences is preferred with 8
years' work experience. Experience should include active management of data science and engineering teams in the retail and CPG industries, either as an industry insider, or in a consulting role. Strong knowledge in Advanced Statistical Techniques, such as Time Series Analysis, Cluster Analysis, and Regression Analysis etc. Preferred:
Previous experience in product management and/or pre-sales is a plus Skilled in designing and developing big data algorithms, primarily using open source programming languages. Expertise scaling them in cloud environments to process many millions of decisions, daily Excellent verbal and written communication skills, specifically in technical communications. Strong inter-personal skills, and a desire to work collaboratively Demonstrated ability to achieve stretch goals in an innovative and fast paced environment Demonstrated ability to learn new technologies quickly and independently. Passion for developing and maintaining a high-quality code and test base, and enabling contributions from data scientists across the team
Salary Range:
$250K -- $500K+
Minimum Qualification
Data Science & Machine Learning, Technology ManagementEstimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
