Description

Do you love diving into complex data to uncover insights and drive real-world impact? Are you passionate about using your skills to build smarter, more efficient supply chains? If so, we’re looking for a talented Senior Data Scientist to join our team and revolutionize how we manage our global supply network!

As a key member of our team, you’ll play a pivotal role in transforming our supply chain through cutting-edge data analysis and AI solutions. You’ll work closely with our supply chain experts to optimize processes, improve forecasting, and enhance inventory management, all while contributing to a more sustainable and cost-effective operation.

Company Culture and Environment

We foster a collaborative culture that values diversity and inclusion. As part of our team, you’ll experience a supportive environment where innovative ideas are encouraged, and every voice is heard.

Career Growth and Development Opportunities

This role offers exciting projects that contribute to a growing company, providing numerous opportunities for professional development and career advancement.

Detailed Benefits and Perks

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• Paid time off, holidays, and flexible wellness time off
• Paid sick leave and parental leave

Compensation and Benefits

• Competitive salary based on experience
• Comprehensive benefits package including health, dental, and vision insurance
• Wellness focus with paid time off and holidays
• Supportive environment with sick leave and parental leave
• Growth opportunities with exciting projects

Why you should apply for this position today

This is a unique opportunity to make a significant impact by optimizing supply chain processes and implementing innovative data-driven solutions. Join a dynamic team that is committed to sustainability and efficiency in the supply chain industry.

Skills

• Extensive experience in data science and/or supply chain analytics (6+ years)
• Expert-level SQL skills and experience building scalable ETL/ELT pipelines
• Strong Python skills for data analysis, forecasting, and optimization
• Experience with time series forecasting, optimization models, statistical analysis, and simulations
• Proven track record of improving efficiency with analytics/ML/AI solutions
• Experience with data visualization tools like Tableau, Power BI, or Looker
• Familiarity with SCM platforms, ERP systems, or logistics tools
• Strong understanding of sales & operations planning (S&OP)
• Ability to manage multiple projects and collaborate with cross-functional teams
• Strong written and verbal communication skills
• Experience working with international and distributed teams

Responsibilities

• Analyze logistics, supplier performance, and inventory data to identify opportunities for improvement and build a more resilient supply network
• Discover ways to reduce waste, boost efficiency, and optimize costs across our supply chain
• Evaluate supplier lead times, pricing trends, and reliability to inform and enhance our sourcing strategies
• Use data-driven insights to improve shipping routes, warehouse operations, and delivery performance
• Create and maintain scalable ETL/ELT pipelines to ingest, transform, and analyze supply chain data
• Design and implement dashboards to track key metrics, identify bottlenecks, and support informed decision-making
• Develop models to assess potential disruptions, geopolitical risks, and demand variability
• Build and refine forecasting models to predict demand fluctuations, optimize stock levels, and minimize disruptions

Qualifications

• 6+ years of experience in data science and/or supply chain analytics
• Proven experience in project management and collaborating with cross-functional teams
• Strong communication skills, both written and verbal

Education Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Education Requirements Credential Category

• Bachelor’s degree preferred

Experience Requirements

• 6+ years of relevant experience in data science and/or supply chain analytics
• Proven experience in developing data-driven solutions and improving operational efficiencies

Why work in New York, NY

New York City is a vibrant metropolis known for its cultural diversity, rich history, and innovative spirit. Living and working in NYC offers unparalleled opportunities for professional networking, cultural experiences, and personal growth. With a dynamic job market and numerous opportunities in various industries, it’s an exciting place to advance your career.