We are seeking an experienced Senior Data Scientist (Supply Chain) to join our innovative team and lead the transformation of our global supply network through advanced data analytics and artificial intelligence solutions. In this remote role, you will have the opportunity to collaborate with supply chain professionals and drive efficiencies that contribute to a more sustainable future.

Key Responsibilities

Analyze complex supply chain data, including logistics, supplier performance, and inventory metrics to uncover insights and identify improvement opportunities.
Promote sustainability and operational efficiency by discovering innovative methods to minimize waste and optimize costs within the supply chain.
Assess supplier lead times, pricing trends, and overall reliability to strengthen procurement strategies.
Leverage data-driven insights to enhance logistics, improve shipping routes, and increase warehouse operational efficiency.
Create scalable ETL/ELT pipelines for ingesting and analyzing supply chain data.
Design and implement interactive dashboards that track key performance indicators and facilitate informed decision-making.
Develop predictive models to evaluate potential supply chain disruptions and demand fluctuations, enabling proactive management.
Refine forecasting models to accurately predict demand and optimize inventory levels to mitigate potential disruptions.

Required Skills

Over 6 years of experience in data science and supply chain analytics.
Proficient in SQL and experienced in building scalable ETL/ELT pipelines.
Strong Python skills for analytics, forecasting, and optimization purposes.
Solid experience in time series forecasting, optimization models, statistical analyses, and simulations.
Data visualization proficiency with tools such as Tableau, Power BI, or Looker.
Familiarity with supply chain management platforms, ERP systems, or logistics tools.
Comprehensive understanding of sales and operations planning (S&OP).
Excellent written and verbal communication skills.
Proven project management capabilities with the ability to collaborate effectively across cross-functional teams.
Experience working in diverse, global teams.

Qualifications

A Bachelor's degree in Data Science, Mathematics, Statistics, or a related field is required.

Career Growth Opportunities

Joining our team offers you the chance to work on leading-edge projects, enhancing your skills and advancing your career in an environment that values continuous learning and professional development.

Company Culture And Values

We pride ourselves on fostering a collaborative, inclusive culture where diverse teams come together to achieve shared goals. Our commitment to innovation and excellence drives us to support one another as we navigate the evolving landscape of supply chain management.

Compensation And Benefits

Competitive salary and equity packages.
Comprehensive health, dental, and vision insurance, alongside mental health resources.
Paid time off, holidays, and flexible wellness leave.
Supportive policies including paid sick leave and parental leave.

Explore this exciting opportunity to make a significant impact in our global supply chain and join a team that values your contributions!

Employment Type: Full-Time