Manager Of Data Science - Virtual/Remote

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

:

The Manager of Data Science role is organizationally under Finance & Accounting, within the Decision Support tower. Particularly, this role will report into the Business Intelligence & Advanced Analytics space. The Manager of Data Science is responsible for leveraging big data sets to drive predictive and prescriptive insights in various areas of UPS business. He/she should assess and scope business needs, conduct research, and design/develop integrated solutions to a variety of business problems.

Scope and responsibilities of the role include, but not limited to:

• Use various analytical methods such as predictive modeling, text mining, machine learning, statistical forecasting, optimization, and simulations to develop and implement advanced statistical and econometric decision support systems.
• Successful candidate will work with a team that is responsible for researching and implementing advanced analytics models utilizing a diverse set of techniques.
• Design and leverage various types of customer segmentation models to identify opportunity for growth and assess overall customer health. Integrate performance and impact within revenue and drive coordination between Marketing, Sales and Operational initiatives
• This individual will perform data wrangling, ETL, and data exploration tasks, while leveraging large volumes of structured and unstructured data.

Project Management

• Manage projects across the lifecycle, working with cross functional teams consisting of data scientists, data engineers, application developers, business analysts and various stakeholders. Manage the execution of analytics projects based on statistics, machine learning, experimental design, and the scientific method principles to derive insights.

Thought Leadership

• He/she should be a natural thought leader, thinking outside of the box, and challenging the status quo.

Upskilling Peers and Team

• Manage and develop analytics peers and other data science focused team members; have an active role in the Citizen Data Science program

Collaboration

• Work with various department project teams and facilitates collaboration with cross-functional stakeholders. Collaborate with various groups to gather, curate, and build data sets needed to successfully construct the foundation of our Analytical Models. Collectively develop hypotheses, approaches, models, and solutions to solve problems and increase profitability and efficiency.

Data Visualization

• Leverage analytics and visualization tools to design and present information to drive fact-based decision making

Continuous Learning

• Develop subject matter expertise on internal and external sources of information. Stay up to date with the industry trend to gain knowledge of latest hardware and software, emerging technologies, and analytic techniques to ensure UPS is utilizing state-of-the-art tools. This candidate would be encouraged to network and learn about best practices and emerging technologies.

Preferred Qualifications

• Expertise in machine learning algorithms and experience using the following ML techniques: Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Clustering and Neural Networks Working experience with database systems (e.g. SQL, NoSQL, Teradata, MongoDB, Postgres, etc.)
• The ideal candidate should have a healthy level of curiosity, be a strong communicator, and possess the ability to tell the story of data results and insights.
• Master's Degree with 5+ years of data science/advanced analytics experience or a Ph.D. with 2+ years of advanced analytics experience (Degree in Operational Research, Mathematics, Engineering, Statistics, Economics, Data Science, Computer Science, Data Analytics or related field)
• Master's Degree with 3+ years of data science/advanced analytics experience (Degree in Business, Computer Science, Data Analytics, or similar focus). Otherwise, must be a current UPS employee with three years of data science and analytics centric UPS experience.
• Strong analytical and problem-solving skills.
• Must have expertise with statistical languages such as R and/or Python Must have a strong understanding of statistics and probability: distributions, experimental design, variance analysis, A/B testing, probability theory, stochastic systems, and Bayesian inference
• Preferred Expertise with statistical languages such as R and/or Python Strong understanding of statistics and probability: distributions, experimental design, variance analysis, A/B testing, probability theory, stochastic systems, and Bayesian inference Expertise with various statistical modeling algorithms such as: regression, clustering, ARIMA, decision trees, Time Series, and scenario simulation/modeling.
• Must have expertise with various statistical modeling algorithms such as: regression, clustering, ARIMA, decision trees, Time Series, and simulation
• Data visualization and dashboard development experience, with tools such as Tableau, Power BI, or similar applications.
• Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (Google Cloud, SQL Server, Azure, etc.)
• Advanced skills to work with large, complex, and disparate data (accessing, connecting, and analyzing data), using tools such as Snowflake, Alteryx, or similar applications.
• Fluid understanding of economics, with a solid foundation in statistics, ability to seek and solve quantitative problems through data modeling.

BASIC QUALIFICATIONS:

• Must have a Master's Degree (or internationally comparable degree)
• Employer will not sponsor a visa for this or future positions
• Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer

Grade Level: 30G

OTHER CRITERIA:

Employer will not sponsor visas for position.

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Other Criteria:

Employer will sponsor visas for specific positions. UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

Basic Qualifications:

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.