UPS · 1 hour ago
Manager - Data Science & Machine Learning - Flex Location
Parsippany, NJ
Full-time
Hybrid
Mid, Senior Level
$149K/yr - $275K/yrUPS is a Fortune Global 500 organization seeking a Manager for their Data Science and Machine Learning teams. This role involves managing various data science teams, overseeing the implementation of advanced analytic systems, and ensuring the delivery of insights from large data sets to support business decisions.
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Responsibilities
Manages and oversees the Data Analysts, Data Scientist team, Machine Learning Engineers and Big Data Specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs
Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define and manage strategies that support the creation, development and delivery of analytic solutions that meet business needs
Manages, plans, and champions the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders
Plans, develops, and prototypes algorithms to ensure analytic results satisfy problem statements and business needs
Leads the evaluation and analysis of large-scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques
Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise
Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions
Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions
Serves as a management liaison for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals
Communicates verbally and in writing to business customers and senior leadership team with various levels of technical knowledge, and educates them about our systems, as well as sharing insights and recommendations that can inform business strategies
Adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms
Qualification
Required
Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach
Experience in management of business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques
Oversee the development of Machine Learning (ML), Artificial Intelligence (AI), GenAI and Agentic applications, from initial research and prototyping to deployment and scaling. This often involves leveraging technologies like large language models (LLMs) and natural language processing (NLP)
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g., SQL, NoSQL, BQ), or scripting languages (e.g., Python) and/or statistical/mathematical software
Provide a strong understanding of AI and machine learning concepts, including evaluating models, optimizing infrastructure, and ensuring solutions are scalable, reliable, and meet performance requirements
Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well as business audiences
Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience
Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail
Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience
Benefits
Medical/prescription drug coverage
Dental coverage
Vision coverage
Flexible Spending Account
Health Savings Account
Dependent Care Flexible Spending Account
Basic and Supplemental Life Insurance & Accidental Death and Dismemberment
Disability Income Protection Plan
Employee Assistance Program
401(k) retirement program
Vacation
Paid Holidays and Personal time
Paid Sick and Family and Medical Leave time as required by law
Discounted Employee Stock Purchase Program
Company
UPS
Operating in more than 200 countries and territories, we’re committed to moving our world forward by delivering what matters.
Founded in 1907
10001+ employees
H1B Sponsorship
UPS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2021 (5)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Innovate UK
2025-07-28Grant
1999-11-10IPO
Leadership Team
Brian Dykes
EVP & Chief Financial Officer at UPS
Joel Stenson
Senior Vice President Global Operations Technology / Enterprise Data & Analytics and Gen AI
Recent News
The Motley Fool
2026-01-01
2025-12-30
2025-12-30
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