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:

ABOUT THE COMPANY

At DICK’S Sporting Goods, we take a people-centric approach to everything we do. Our Athletes, how we refer to customers, and our Teammates, how we refer to our employees, are at the center of every decision we make so that we can provide transformational experiences online, in store, and in sport. When you join Technology at DICK’S Sporting Goods, you’re joining a true team that wins together. We help our Athletes and fellow Teammates better their best by innovating solutions to interesting business problems and empowering every Technology Teammate to be an innovator. And, while we work remotely from all over the United States, we provide virtual and in-person events for the team to hangout, from virtual escape rooms to cheering on the Pittsburgh Pirates at beautiful PNC Park.

JOB PURPOSE

Drives design of machine learning systems to create artificial intelligence applications and products. Researches and implements algorithms and platforms, train/retrain systems, conduct learning tests and experiments, and develop applications according to requirements. Extends existing machine learning libraries and frameworks.

RESPONSIBILITIES

Data Set Exploration and Documentation

Drive the analysis, documentation and articulation of highly complex datasets while establishing quality and the lineage of the data. Be involved in all parts of the Machine Learning lifecycle : data exploration, modeling, evaluation, deployment and monitoring.

Software Development

Drive development of existing ML software and contribute to development of new software by analyzing and identifying areas for modification and improvement.

Develop software that is fast, secure and reliable to meet defined requirements. Employ best practices of Machine Learning Operations to build scalable ML software. Write production quality code for ML as services and APIs

Technical Developments Recommendation

Research and suggest ways to optimize solutions to better meet user and/or business, performance, quality needs.

Analysis of Current vs. Future State

Document Current vs Future state processes and describe the changes required to migrate to the future-state capability to record accurately the change required.

Data Architecture

Drive the modeling of complex data structures that allow for easy consumption and analysis. Selects the appropriate technology for the implementation of solutions. Be proficient in end to end ML architecture and the latest technologies that build for scale and efficient deployments.

Quality

Help management to implement quality assurance change initiatives and/or make continuous operational improvements.

Program/Portfolio Management Support

Contribute to work within an established program management plan to achieve specific goals.

Information Security and Compliance

Drives the creation and implementation of best practices for safely and securely moving data, monitoring models.

Ongoing Learning and Development

Develop own and more junior team member capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation where relevant to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.

Operational Compliance

Identify, within the team, instances of non-compliance with the organization's policies and procedures and/or relevant regulatory codes and codes of conduct, reporting these and escalating issues as appropriate.

TECH STACK

• Understanding of build infrastructure and CI/CD related technologies such as Docker, Bash scripting, Jenkins, compilers, linkers, CMake etc.

• Expert knowledge on MLOps: Real-time serving, Spark expertise (PySpark, Scala), workflow orchestration, end-to-end solutioning, operational monitoring, model monitoring, model registry, feature store, advanced feature engineering (Deep Learning, vector DBs)

#LI-JN1

QUALIFICATIONS:

General Education

Bachelor's Degree or Equivalent Level Preferred in quantitative fields like computer science, engineering, physics, math etc.

EXPERIENCE

General Experience

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).

Targeted Pay Range: $83,000 - $138,200. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay.DICK'S Sporting Goods complies with all state paid leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.