
Senior Data Scientist, Predictive Analytics in Retail
At Toshiba, we believe in using cutting-edge technology and data-driven insights to revolutionize the retail industry. As a Senior Data Scientist in Predictive Analytics, you will play a critical role in guiding our retail partners towards success by leveraging your expertise in data analysis and predictive modeling. This is an exciting opportunity to join a dynamic team and drive impactful change in the retail sector. We are looking for a highly skilled and experienced individual who is passionate about using data to solve complex business problems. If you have a strong background in statistical analysis, machine learning, and a proven track record of delivering results in the retail space, we want to hear from you. Join us and be a part of shaping the future of retail with Toshiba.
- Conduct data analysis and utilize predictive modeling techniques to provide valuable insights to retail partners.
- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
- Develop and maintain statistical models to forecast sales, customer behavior, and other key performance indicators.
- Use machine learning algorithms to identify patterns and trends in large datasets.
- Communicate findings and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
- Stay updated on the latest developments in data science and retail industry trends to continuously improve predictive analytics strategies.
- Lead and mentor junior data scientists to develop their skills and knowledge.
- Work closely with retail partners to understand their needs and provide customized analytics solutions.
- Monitor and evaluate the performance of models and make necessary adjustments to improve accuracy and effectiveness.
- Collaborate with other data scientists and teams to integrate predictive analytics into Toshiba's products and services.
- Ensure compliance with data privacy and security regulations in all predictive analytics processes.
- Participate in industry conferences and events to share Toshiba's innovative approach to retail analytics.
- Contribute to the development and implementation of new data science tools and technologies.
- Manage multiple projects simultaneously and deliver results within given timelines.
- Continuously assess and improve predictive analytics processes to drive maximum value for retail partners.
Advanced Degree In A Quantitative Field Such As Statistics, Mathematics, Or Computer Science.
Minimum Of 5 Years Experience In A Data Science Or Predictive Analytics Role, Preferably In The Retail Industry.
Extensive Knowledge And Experience With Data Mining, Machine Learning, And Statistical Modeling Techniques.
Proficiency In Programming Languages Such As Python, R, And Sql.
Experience With Retail-Specific Data And Tools Such As Point-Of-Sale Data, Market Basket Analysis, And Demand Forecasting.
Business Intelligence
SQL Programming
Forecasting
Machine Learning
Big data analysis
Data Visualization
Data Mining
Statistical modeling
Predictive modeling
Time series analysis
Retail analytics
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Senior Data Scientist, Predictive Analytics in Retail in Miami, FL, USA is $111,000 - $150,000 per year. However, this can vary depending on factors such as years of experience, specific job duties, and the specific company.
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Toshiba Corporation is a Japanese multinational conglomerate headquartered in Tokyo, Japan. Its diversified products and services include information technology and communications equipment and systems, electronic components and materials, power systems, industrial and social infrastructure systems, consumer electronics, home appliances, medical equipment, office equipment, as well as lighting and logistics.

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