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

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

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

Equal Employment Opportunity

Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.​