Sr Data Scientist Enterprise

Academy Sports

11h

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.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems/Sciences, Business Analytics, Machine Learning, Information Technology Management, or relevant field of study required
• 3+ years of experience in data science or related field, with a focus on predictive/prescriptive modeling, and statistical analysis required
• Proficiency in Python/R for predictive analytics and BigQuery for data analysis
• Advanced skills in SQL, statistical methods, and techniques to address business needs
• Ability to process large datasets of structured and unstructured from various sources (e.g., Transactional, customer behavior data, qualitative/quantitative survey data, etc.)
• Ability to translate business requirements into data science projects and communicate findings effectively to stakeholders using an unbiased, data-driven approach
• Experience with ETL processes, data pipeline creation, and integration of diverse data sources
• Analytical, with strong problem-solving abilities and creative resolution skills
• Excellent written and verbal communication skills for presenting complex information in a clear and concise manner
• Self-motivated and able to work independently and within a team setting
• Ability to remain organized, pay strict attention to detail, and meet critical deadlines with high volume, fast-paced environment
• Regular attendance required
• Acceptable level of hearing and vision to perform job duties
• Adhere to company work hours, policies, procedures and rules governing professional staff behavior
• Full time

Nice To Haves

• Master’s degree preferred
• Experience in the retail industry, preferably in an omnichannel environment

Responsibilities

• Design, build, and validate predictive models to support various business functions such as sales forecasting, customer segmentation, and propensity scoring models.
• Lead project lifecycles from problem conception to delivery, encompassing metric development, data manipulation, visualization, and analytical/model implementation
• Perform in-depth analyses of customer data to reveal insights and identify opportunities for enhancing the customer experience across all touchpoints (Online, App, In-store, Media, etc.. )
• Collaborate closely with stakeholders from marketing, omnichannel, pricing, merchandising, real estate, and executive teams to derive insights and formulate recommendations.
• Integrate and analyze data from various sources, including transactional, behavioral, and external data, to provide a comprehensive view of the customer journey.
• Provide guidance and mentorship to junior data scientists, fostering a collaborative and innovative team environment.
• Develop a thorough understanding of Academy’s policies, procedures, and safety rules
• Duties may change; team members may be required to perform other duties as assigned

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees