Sr Data Scientist Enterprise

at  Academy Sports

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

JOB DESCRIPTION:

Education:

• Bachelor’s degree in Computer Science, Data Science, Information Systems/Sciences, Business Analytics, Machine Learning, Information Technology Management or relevant field of study required
• Master’s degree preferred

WORK EXPERIENCES:

• 3+ years of experience in data science or related field, with a focus on predictive/prescriptive modeling, and statistical analysis required
• Experience in the retail industry, preferably in an omnichannel environment

SKILLS:

• 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 source (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

PHYSICAL REQUIREMENTS & ATTENDANCE:

• 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

• 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