About the position
Academy Sports + Outdoors is advancing its use of AI, Data Science, and Advanced Analytics to optimize business processes to improve customer experience online and in brick-and-mortar locations. The Senior Data Scientist will be a key partner in this work, leveraging advanced analytical, statistical, and machine learning techniques to solve complex business challenges, drive strategic decision-making, and enhance data-driven capabilities across the organization. You will work with large-scale datasets, design predictive models, and implement scalable data solutions that impact critical areas of the business. This is a senior role that involves mentoring junior data scientists, collaborating with cross-functional teams, and communicating insights to stakeholders at all levels of the organization.
Responsibilities
- Design and develop complex predictive and prescriptive models using advanced statistical and machine learning techniques.
- Lead the acquisition, integration, and cleaning of diverse and complex datasets from multiple sources to ensure data quality and reliability.
- Drive end-to-end data science products from ideation to production, including problem definition, data exploration, model development, and result validation, documentation, and monitoring.
- Work closely with stakeholders across business units, including product, finance, marketing, operations, and IT, to understand business needs, define requirements, and align data science solutions with business objectives.
- Create compelling visualizations and presentations that effectively communicate complex analysis, insights, and recommendations to both technical and non-technical audiences.
- Implement and optimize machine learning models in production environments, ensuring they are scalable, efficient, and reliable.
- Lead by example to build a culture of accountability and rigor to substantiate proven business impact with data, providing mentorship and guidance to other analysts on the team.
- Keep current with technical and industry developments, tools, and technologies in the field of data science, and identify opportunities for continuous improvement and innovation within the organization.
Requirements
- Bachelor's degree (BA, BS) with strong coursework in a quantitative field, such as Engineering, Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field, or equivalent years of work experience.
- 4+ years in data analytics, business intelligence, or data engineering. Data Science experience preferred.
- 2 years in a senior analyst capacity, preferably within an enterprise or large-scale organization.
- Experience with retail analytics + omnichannel will be a plus.
- Proficiency in programming languages such as Python, R, or Scala.
- Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Advanced knowledge of SQL and experience with relational and non-relational databases.
- 3+ years of experience in enterprise-grade data visualization tools (e.g., Tableau, Power BI, Looker, MicroStrategy).
- Strong Microsoft Office program experience including Excel, Word, PowerPoint.
Nice-to-haves
- Master's degree preferred.
- Experience in a cloud enterprise environment, such as Google Cloud Platform (GCP), Azure, or Amazon Web Services (AWS).
