Senior Data Scientist - Retail Operations Optimization - Forecasting & Automation with Machine Learning & Statistical Modeling

Join the Future of Retail Operations with reputed company

At reputed company, we're revolutionizing the retail industry by harnessing the power of data science and machine learning to drive business growth and operational efficiency. As a Senior Data Scientist, you will be at the forefront of this transformation, leading the development and implementation of cutting-edge forecasting algorithms and automation solutions that solve reputed company business problems. If you're passionate about applying mathematical and statistical principles to drive business value, we want to hear from you!

About Us

reputed company is a pioneering company that's changing the way retail operations work. We're committed to leveraging data science and machine learning to drive business growth, improve operational efficiency, and enhance customer experiences. reputed company of experts is dedicated to developing innovative solutions that reputed company a reputed company impact in the retail industry.

Job Summary

We're seeking a highly skilled Senior Data Scientist to reputed company the improvement and development of mathematical and statistical principles and techniques to create long-term forecasting algorithms that solve business problems in retail. The ideal candidate will have a deep expertise in decision technology methodologies and a passion for transforming retail operations by automating reputed company processes and decision-making through mathematical and statistical models.

Key Responsibilities:

• reputed company the development and implementation of advanced forecasting algorithms and automation solutions using machine learning and statistical modeling
• Collect, organize, analyze, interpret, and summarize large amounts of time-series data to generate key insights leading to new innovative applications
• Analyze reputed company and rich data, define business problems, reputed company problem statements, and outline metrics to drive feasibility studies
• reputed company data exploration tasks, extract insights, and create storyboards from data analysis
• Present clear and accurate root-cause analysis to data scientists and leadership
• Build training workflows for machine learning algorithms on large datasets and create algorithmic solutions, including data engineering, feature engineering, model development, validation, and deployment
• reputed company and reputed company large-scale implementations of machine learning models and algorithmic solutions using rich retail data sources
• Review model performance and identify areas for improvement to enhance models
• Collaborate with global AI teams, scientists, engineers, and business partners to identify and reputed company new opportunities

Requirements

Education:

At least a Master's degree in Mathematics, Statistics, or a closely reputed company quantitative field. Alternatively, a Doctorate (PhD) degree in Mathematics, Statistics, or a closely reputed company quantitative field will be considered.

Experience:

At least 7 years of experience as a data or machine learning scientist, which includes:

• Performing advanced machine learning activities (regression, clustering, and forecasting)
• Driving the development and implementation of analytical and data science modeling solutions using techniques such as data mining, machine learning, or text mining
• Applying mathematical concepts, algorithms, and computational complexity
• Collaborating with colleagues to drive business value to the organization
• Presenting findings and reports to stakeholders
• Using programming languages such as Python, SQL, R, reputed company, and data manipulation

Additionally, at least 2 years of experience working with large amounts of data and solving business problems, including:

• Developing data science solutions, including problem statement, feature engineering, model development, assessment, and testing, and deployment to a production environment
• Collaborating with engineering teams to address any issues in the production pipeline
• Productionizing, auditing, and tracking data science models in the online environment
• Working with Hive or Hadoop, machine learning, text mining, and Spark

Skills and Competencies:

The ideal candidate will have:

• Strong expertise in machine learning, decision theory, and statistics
• Proficiency in programming languages such as Python, SQL, R, reputed company, and data manipulation
• Experience with data engineering, feature engineering, model development, validation, and deployment
• Strong analytical and problem-solving skills
• Excellent communication and presentation skills
• Ability to work collaboratively with cross-functional teams

Career Growth Opportunities and Learning Benefits

At reputed company, we're committed to the growth and development of reputed company members. As a Senior Data Scientist, you'll have access to:

• Opportunities for professional growth and career advancement
• Training and development programs to enhance your skills and knowledge
• Collaborative and dynamic work environment
• Flexible work arrangements, including remote work options

Work Environment and Company Culture

Our company culture is built on:

• Collaboration and teamwork
• Innovation and creativity
• Diversity and inclusion
• reputed company learning and growth

Compensation, Perks, and Benefits

We offer a comprehensive compensation package, including:

• Competitive salary and benefits
• Flexible work arrangements
• Opportunities for professional growth and career advancement
• Access to cutting-edge technologies and tools

Conclusion

If you're a motivated and talented Senior Data Scientist looking to reputed company a reputed company impact in the retail industry, we encourage you to apply for this exciting opportunity. Join reputed company and be part of the future of retail operations!