Data Scientist, Retail Strategy

Job Description

As a Data Scientist specializing in Retail, you will be a key player in shaping data-driven strategies that fuel the success of our business. Leveraging your expertise in advanced analytics, machine learning, and statistical modeling, you will uncover actionable insights that drive key business decisions across the organization.

Responsibilities:

Research and development:

Conduct cutting edge research in machine learning and artificial intelligence

Develop novel algorithms and models to solve complex problems

Publish research findings in top-tier conferences and journals

Model Development:

Design, implement, and experiment with new machine learning models.

Test and validate models using rigorous scientific methods

Optimize models for performance, accuracy and scalability

Data Analysis and Experimentation:

Analyze large data sets to extract meaningful patterns and insights

Conduct experiments to evaluate the effectiveness of different approaches

Develop benchmarks and evaluation metrics for model performance

Knowledge Transfer and Cross-functional collaboration with teams including data engineers, software developers and domain experts.

Create clear and compelling visualizations that communicate insights to stakeholders at all levels

Translate research findings into practical applications and solutions

Mentor junior researchers and interns

Required Qualifications:

5 years' experience Data Science or Machine Learning

Experience in a Retail environment

Statistics and Machine learning expert

Skilled with Python and Data Analysis

High level business acumen

Understanding of retail operations and strategy

Preferred Qualifications:

D. or Master's Degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.

Strong publication record in top-tier AI/ML conferences and journals.

Experience in conducting independent research and leading research projects.

Background in applying AI/ML techniques to real-world problems in various domains (e.g., healthcare, finance, robotics).

Behavioral Traits for Success:

Drive, determination, and self-discipline

Technical problem-solving and ingenuity while working within approved organizational systems and technology

Strong commitment to tasks being completed correctly and on time

Understanding and collaborative

Thrives in a structured environment

Comfortable making decisions in area of expertise

Communication style is factual and sincere

Willingness to follow established policies, processes, and procedures

Comfortable working at a fast-paced environment

Working Environment:

Typical office environment with climate control and sufficient lighting, ergonomic desk/chairs

Hybrid work schedule

Corporate Office located St. Louis, MO

Occasional Domestic Travel

Able to lift >25 pounds

Your Performance Will Be Measured On:

Your performance will be measured by your ability to achieve annual department objectives and corporate goals which include but are not limited to the following.

Decision-making, judgment, and execution

Able to communicate complex issues in a clear and concise manner

Quality presentations that are engaging and offer actionable insight

Deadlines, Accuracy, and Quality

Creation of practical applications/solutions based on data

Stakeholder Feedback

Full-time

Hybrid remote