Sr Data Scientist Enterprise

Come work at a place where we take pride in creating a workplace environment that values hard work, commitment, and growth.

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.

Job Description:

Education 

• Bachelor's degree (BA, BS with strong coursework in a quantitative field, such as Engineering, in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or a related field, or equivalent years of work experience

• Master’s degree preferred

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 

Skills 

• Ability to work well under pressure while consistently meeting time sensitive deadlines

• Ability to work well independently, as well as effectively contribute to a team environment

• Ability to prioritize workload, meet multiple deadlines simultaneously in a fast paced, frequently changing environment

• Strong interpersonal, written, and verbal communication skills, detail-oriented, with the ability to interact with all levels of end users and technical resources

• Proficiency in programming languages such as Python, R, or Scala

• Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn). Preference toward experience in a cloud enterprise environment, such as Google Cloud Platform (GCP) (BigQuery is a plus) / Azure / Amazon Web Services (AWS)

• Advanced knowledge of SQL and experience with relational and non-relational databases with a focus on transforming data to prepare for analysis and machine learning.  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.  

 

Responsibilities: 

• Data Analysis & Modeling: Design and develop complex predictive and prescriptive models using advanced statistical and machine learning techniques. Utilizing data-science techniques, explore the data to uncover patterns and correlations, predict customer behavior, and preemptively identify potential problems.  Contribute to company A/B testing framework and recommend results

• Data Collection & Management: Lead the acquisition, integration, and cleaning of diverse and complex datasets from multiple sources to ensure data quality and reliability

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