Job Description
Our Information Management teams are responsible for designing and supporting data solutions to meet UPS’s rapidly changing business needs. Our team is comprised of individuals who are experts in data management, compliance and governance. We ensure quality, completeness, availability, protection, understanding and effective use of our data assets. Our ability to organize and design data provides the foundation which enables many of UPS’ core processes.
About this role:
“This is a hybrid position. The hiring manager will consider candidates from the following I.T. locations: NJ and KY”.
This position manages and advocates for various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position manages the daily activities of the team responsible for identifying business trends and problems through big data analysis. This position 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. This position manages and works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position manages the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market.
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.
Minimum Requirements:
- 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.
- Experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models.
- 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, R) and/or statistical/mathematical software (e.g., R, Matlab, SAS)
- Experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g., Supervised, Unsupervised, Deep Learning, NLP)
- 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.
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well as business audiences.
- 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.
Where permitted by applicable law, employees must be fully vaccinated for COVID-19 by their date of hire/placement to be considered for employment. Fully vaccinated means two weeks after receiving the second shot for Pfizer and Moderna, or two weeks after Johnson & Johnson.
This position offers an exceptional opportunity to work for a Fortune 50 industry leader. If you are selected, you will join our dynamic technology team in making a difference to our business and customers. Do you think you have what it takes? Prove it! At UPS, ambition knows no time zone.
Company Info.
UPS
United Parcel Service (NYSE: UPS) is a global leader in logistics, offering a broad range of solutions including the transportation of packages and freight, the facilitation of international trade, and the deployment of advanced technology to manage the world of business more efficiently.
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Industry
Business Services
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No. of Employees
187,370
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Location
Atlanta, GA, USA
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Website
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