Sr Data Scientist Enterprise

Academy Sports + Outdoors • Katy, TX • 1d ago

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 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

Experience

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 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

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

Full time

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. ?

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