Data Scientist, Pricing

Multiple Locations
Required Experience: 0 year(s)
Employment Type: Full-Time
Salary Range: Not available
Posted 10 days ago
Job Description
Under Armour is all about performance. Because what we make empowers athletes in every form to push themselves, to turn good into great, and to stay hungry for whatever comes next. And this is exactly what we expect from each other.
Working with us means one key thing: no matter what you do, you see every day and every project as a chance to push your field forward. In every store and every office, we build teams where everyone is an MVP. And together we tackle every challenge head on. Because we work to push the gear, the game, and ourselves farther.
We’re looking for people who do more than good work. We’re looking for the Best in Every Game.
Under Armour is the chosen brand of this generation of athletes... and the athletes of tomorrow. We're about performance - in training and on game day, in blistering heat and bitter cold. Whatever the conditions, whatever the sport, Under Armour delivers the advantage athletes have come to demand.That demand has created an environment of growth. An environment where building a great team is vital. An environment where doing whatever it takes is the baseline and going above and beyond to protect the Brand is commonplace.The world's hungriest athletes live by a code, a pledge to themselves and everyone else: Protect This House... I Will.  Our goal is to Build A Great Team!  Will YOU…Protect This House?!

Pricing is a key driver of Under Armour’s future profitability and success.  As a Data Scientist / Specialist, you will play a pivotal role in building a pricing team at Under Armour.  You will be a key member of this team reporting directly to the Director of Global Pricing Strategy and Analytics.  This position will be an integral business partner responsible for challenging and supporting the leadership team, anticipating business issues, and driving good decision-making.
The successful candidate will be a Data Science Analyst with exceptional analytical, problem solving, and research skills with a proven track record of delivering innovative and actionable analytics solutions in complex environments. They also will have demonstrated proficiency with multiple tools and platforms and will have experience harmonizing large and diverse data sources. Excellent verbal and written communication skills are a must, as collaboration with cross-functional teams is vital to the role’s success.
The analyst will be expected to drive improvements in existing statistical modeling and analytic methods. They will also continue to evolve the measuring and reporting of performance KPIs for multiple processes. The incumbent also will partner with IT and other internal analytics teams to continue the evolution of UA’s descriptive, predictive, and prescriptive analytic capabilities.
Specific Responsibilities
Continue to evolve the current pricing analytics, and statistical analysis reports
Leverage Data Mining to provide analytic insights and lay the foundation for further pricing analytics solutions
Evolve the standardized measurement and reporting of KPIs for multiple analytic processes
Continue to evolve the automation of ETL and other data management processes
Partner with cross-functional business stakeholders on assumptions, opportunities, and solutions
Collaborate with other UA Analytics and IT teams to drive standards, align on best practices, identify future solution needs, and keep current with industry trends

Master’s degree in Statistics, Econometrics, Mathematics, or field with significant Statistics exposure
At least, 3 years of proven problem-solving experience delivering Descriptive, Predictive, and Prescriptive Analytics solutions in complex environments with innovative solutions and actionable results
Exceptional analytical, problem solving, and research skills
Proficiency with programming in R, Python, and SAS, and in creating complex queries in SQL, Alytrex experience is a plus
Experience with multiple Data Mining solutions including Clustering and Classification methods
Experience with ETL and harmonization of large datasets from multiple platforms, including RDBMS, Cloud-based Data Lakes, Data Marts, and multiple flat-file formats on different operating systems
Experience with data visualization and presentation tools (e.g. Tableau, PowerBI, etc.)
Strong MS Office skills, including advanced Excel knowledge and experience with PowerPoint
Excellent written and verbal communication skills - both formal and informal
Ability to work within a project paradigm with defined deliverables and deadlines
Ability to manage and balance multiple and sometimes conflicting priorities
An Advanced degree is preferred and may be considered in lieu of experience
Exposure to the Retail industry is a plus
Experience with Machine Learning modeling, including Decision Trees, ANNs, SVMs, BNs, etc. is a plus
Exposure to artificial intelligence, big data architecture, and distributed computing is a plus
Experience with optimization and simulation models and tools is a plus
At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law.  Under Armour believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.