At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.
If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!
OVERVIEW:
At DICK’S Sporting Goods, we believe sports can change lives. Founded in 1948, DICK’S Sporting Goods first started as a bait-and-tackle shop in Binghamton, NY and has since rapidly expanded into a leading omnichannel retailer with more than 850 locations representing our multiple brands: DICK’S, House of Sport, Golf Galaxy, Public Lands, Going Going Gone, and more. Over the years, it’s been our relentless focus on inspiring, supporting and equipping athletes and outdoor enthusiasts to achieve their dreams that has allowed us to become the $13B company we are today.
Our company is looking to invest in our future as we embark on a journey from being the best sports retailer in the world to becoming the best sports company in the world. We aim to build the ultimate athlete data set that will power our tools and platforms for the most personalized athlete experiences. Join us as we transform our technology, data and analytics to build next-gen tools and platforms for our athletes and teammates. If you are ready to make a difference as part of the world’s greatest sports company, apply today!
Job Purpose:
Manage a team of data scientists and
machine learning engineers in using data to develop machine learning/AI products that improve DSG business performance and suggest areas for and methods of improving operations within a product group. Translate the work of the Data Science function into findings for application by the broader business, including for use in strategic decision making and planning. Develop teammates within their team. Responsible for building the capability and role of data science across the enterprise.
Responsibilities:
Machine Learning, AI and Advanced Predictive Analytics
Support the creation of well-defined road maps that align data science
projects with business needs, leading functional teams in the implementation
and ongoing use of advanced machine learning software tools and
functionalities, specifically in the field of recommender systems.
Data Exploration
Support the performance and integration of advanced Machine Learning &
Predictive analytics to promote understanding of different business areas or
critical business challenges/opportunities.
Data and Analytics Strategy
Lead the implementation of data and analytics strategy by developing a data
insights integration approach and process aligned to key business processes
and decisions.
Performance Improvement through Business Intelligence
Support the ability of direct reports and the broader data science organization to create models or algorithms that identify patterns in structured and unstructured data. Manage data preparation (eg. Customer 360 data, clickstream data, inventory data) in collaboration with different stakeholders/
internal clients in the business and ensure the collection of data in accordance
with model standards.
Data Architecture
Implement all aspects of data architecture, turning event analytics, raw
application data, and business systems into key business insights.
Functional/Technical Requirements
Elicit complex business requirements using a variety of methods such as
interviews, document analysis, workshops, and workflow analysis to express the requirements in terms of target user roles and goals.
Data Management
Support key elements of the enterprise data management system. May include
development or management for feature stores that power data science models.
Enterprise Business Analysis
Interpret the business need and identify solution recommendations to business
problems at a business unit level. Lead the improvement efforts that are within
span of control at this level.
Horizon Scanning
Explore and develop a detailed understanding of external developments or
emerging issues and evaluate their potential impact on, or usefulness to, the
organization.
Leadership and Direction
Communicate the actions needed to implement the function's strategy and
business plan within the team; explain the relationship to the broader
organization's mission, vision and values; motivate people to commit to these
and to doing extraordinary things to achieve local business goals.
Performance Management
Manage and report on the performance of a substantial, diverse team; set
appropriate performance objectives for direct reports or project / account team
members and hold them accountable for achieving these; take appropriate
corrective action where necessary to ensure the achievement of team / personal objectives.
Budgeting
Contribute to the development of budget plans and/or deliver budget plans with
guidance from senior teammates.
Organizational Capability Building
Use the organization's formal development framework to identify the team's
individual development needs. Plan and implement actions, including continuing professional development specified by professional or regulatory institutions, to build their professional capabilities. Provide informal training or coaching to others throughout the organization in own area of expertise to enable others to improve performance and fulfill personal potential.
QUALIFICATIONS:
Master’s Degree or Equivalent Level Preferred in quantitative fields like computer science, engineering, physics, mathematics, economics etc.
Substantial general work experience together with comprehensive job related experience in own area of expertise to fully competent level. (Over 6 years to 10 years).
Experience in the field of scalable retail recommender systems, deep learning methods, personalization methods (2+ years)
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