Academy Sports
Sr Data Scientist Enterprise
Academy Sports, Katy, Texas, United States, 77494
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 requiredMaster’s degree preferredWork Experiences:3+ years of experience in data science or related field, with a focus on predictive/prescriptive modeling, and statistical analysis requiredExperience in the retail industry, preferably in an omnichannel environmentSkills:Proficiency in Python/R for predictive analytics and BigQuery for data analysisAdvanced skills in SQL, statistical methods and techniques to address business needsAbility 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 approachExperience with ETL processes, data pipeline creation, and integration of diverse data sourcesAnalytical, with strong problem-solving abilities and creative resolution skillsExcellent written and verbal communication skills for presenting complex information in a clear and concise mannerSelf-motivated and able to work independently and within a team settingAbility to remain organized, pay strict attention to detail, and meet critical deadlines with high volume, fast-paced environmentResponsibilities: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 implementationPerform 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 rulesDuties may change; team members may be required to perform other duties as assignedPhysical Requirements & Attendance:Regular attendance requiredAcceptable level of hearing and vision to perform job dutiesAdhere to company work hours, policies, procedures and rules governing professional staff behaviorFull 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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.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 requiredMaster’s degree preferredWork Experiences:3+ years of experience in data science or related field, with a focus on predictive/prescriptive modeling, and statistical analysis requiredExperience in the retail industry, preferably in an omnichannel environmentSkills:Proficiency in Python/R for predictive analytics and BigQuery for data analysisAdvanced skills in SQL, statistical methods and techniques to address business needsAbility 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 approachExperience with ETL processes, data pipeline creation, and integration of diverse data sourcesAnalytical, with strong problem-solving abilities and creative resolution skillsExcellent written and verbal communication skills for presenting complex information in a clear and concise mannerSelf-motivated and able to work independently and within a team settingAbility to remain organized, pay strict attention to detail, and meet critical deadlines with high volume, fast-paced environmentResponsibilities: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 implementationPerform 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 rulesDuties may change; team members may be required to perform other duties as assignedPhysical Requirements & Attendance:Regular attendance requiredAcceptable level of hearing and vision to perform job dutiesAdhere to company work hours, policies, procedures and rules governing professional staff behaviorFull 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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