
Data Scientist - Bayesian
Are you passionate about utilizing data to drive strategic business decisions? Do you have a strong background in Bayesian statistics and experience in the retail industry? If so, we have an exciting opportunity for you! Dick's Sporting Goods is seeking a highly skilled Data Scientist to join our team and help us unlock the power of data. As a Data Scientist, you will play a crucial role in analyzing complex data sets and providing valuable insights to inform our business strategies. If you are a detail-oriented, analytical thinker with a strong understanding of Bayesian methods and a passion for the retail industry, we want to hear from you!
- Conduct data analysis and utilize Bayesian statistics to uncover patterns and insights that inform strategic business decisions.
- Collaborate with cross-functional teams to identify data needs and develop solutions for data collection, storage, and analysis.
- Develop and implement predictive models and algorithms to support decision-making processes.
- Utilize statistical techniques to identify trends and patterns in large data sets.
- Communicate complex data findings to non-technical stakeholders in a clear and concise manner.
- Stay up-to-date with industry trends and advancements in Bayesian statistics and data analytics.
- Identify areas for improvement in data collection and management processes.
- Work closely with the retail team to understand business objectives and provide data-driven recommendations.
- Develop data visualizations and dashboards to effectively communicate insights to stakeholders.
- Collaborate with IT and other teams to ensure data integrity and accuracy.
- Identify opportunities for leveraging data to drive business growth and improve customer experience.
- Provide support and guidance to junior data analysts and team members.
- Proactively identify data quality issues and work to resolve them.
- Stay compliant with data privacy and security regulations.
- Continuously improve and optimize data processes and workflows.
Strong Understanding Of Bayesian Statistics: The Ideal Candidate Should Possess A Solid Foundation In Bayesian Statistics, Including The Ability To Build And Interpret Models Using Bayesian Techniques.
Proficiency In Programming Languages And Tools: Data Scientists At Dick’s Sporting Goods Are Required To Be Proficient In Coding Languages Such As Python, R, And Sql. Familiarity With Tools Such As Jupyter Notebook And Git Is Also A Plus.
Experience In Data Manipulation And Analysis: The Candidate Should Have Experience In Data Manipulation And Analysis, Including Data Cleaning, Transformation, And Visualization. Knowledge Of Machine Learning Techniques And Data Mining Is Also Beneficial.
Excellent Communication And Problem-Solving Skills: As A Data Scientist, The Candidate Will Be Expected To Communicate Complex Findings To Non-Technical Stakeholders. Therefore, Strong Communication And Problem-Solving Skills Are Essential For This Role.
Background In Sports Analytics: Dick’s Sporting Goods Is A Leading Retailer In The Sports Industry, And A Background In Sports Analytics Would Be Highly Desirable For This Role. This Would Include Experience In Analyzing Sports Data, Building Predictive Models, And Identifying Trends In The Sports Market.
statistical analysis
Machine Learning
Data Visualization
Hypothesis testing
Natural language processing
Data Mining
Predictive modeling
Time series analysis
Bayesian networks
Statistical Inference
Neural
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Scientist - Bayesian in Coraopolis, PA 15108, USA is between $89,000 and $130,000 per year. Factors such as experience, education, and specific job responsibilities can affect the actual salary for an individual in this role.
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Dick's Sporting Goods, Inc. is an American sporting goods retail company, based in Coraopolis, Pennsylvania. The company was established by Richard "Dick" Stack in 1948, and has approximately 850 stores and 30,000 employees.

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