ZipRecruiter
Data Scientist, Retail Strategy
ZipRecruiter, St Louis, Missouri, United States
Job DescriptionJob Description
At Build-A-Bear we believe in the power of imagination, creativity, and memorable experiences. Our mission is to add a little more heart to life by creating unique experiences, lasting connections, and beloved memories that create lasting emotional connections. We are a multi-channel, site-based experience and entertainment company, with diversified categories and consumer segments. We are seeking a highly experienced and strategic Data Scientist, Retail Strategy to join our dynamic team.
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
P
referred Qualifications:
PHD 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
At Build-A-Bear we believe in the power of imagination, creativity, and memorable experiences. Our mission is to add a little more heart to life by creating unique experiences, lasting connections, and beloved memories that create lasting emotional connections. We are a multi-channel, site-based experience and entertainment company, with diversified categories and consumer segments. We are seeking a highly experienced and strategic Data Scientist, Retail Strategy to join our dynamic team.
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
P
referred Qualifications:
PHD 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