We are seeking a highly skilled and dedicated Senior Data Scientist with a focus on Supply Chain to join our dynamic team, fully remote with the ability to work from home. This is an exceptional opportunity to apply your expertise in data science to truly impact global health and wellness. You will play a crucial role in utilizing advanced data technologies to enhance our supply chain operations, refine demand forecasting, and optimize inventory management, directly contributing to the distribution of our groundbreaking health technology products.

Key Responsibilities

Drive supply chain analytics and optimization by conducting in-depth analyses of logistics, supplier performance, and inventory data to uncover improvement opportunities.
Champion sustainability initiatives and cost optimization strategies to minimize waste and enhance efficiency across our supply network.
Provide insights into procurement and supplier performance by evaluating lead times, pricing trends, and reliability to inform sourcing decisions.
Optimize logistics and distribution processes through data-driven insights, improving shipping routes and warehouse operations.
Develop and maintain robust data engineering processes, including ETL pipelines, to facilitate comprehensive analysis.
Create real-time dashboards to monitor key supply chain metrics, identify bottlenecks, and support timely decision-making.
Formulate risk management strategies and scenario planning models to anticipate supply chain disruptions and fluctuations in demand.
Enhance demand forecasting and inventory planning through the development of predictive models.

Required Skills

A minimum of 6 years of experience in data science and supply chain analytics.
Proficient in SQL, with extensive experience constructing scalable ETL/ELT pipelines.
Strong expertise in Python for data analysis, forecasting, and optimization algorithms.
Demonstrated experience with time series forecasting, optimization models, and statistical analysis.
Proven track record of utilizing analytics, machine learning, and AI to drive operational efficiency.
Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
Understanding of supply chain management platforms, ERP systems, or logistics tools.
Solid business acumen with insights into sales and operations planning (S&OP).
Exceptional communication skills with the ability to collaborate across diverse teams.
Experience working with global and distributed teams is an advantage.

Qualifications

A Bachelor's degree in a relevant field such as Data Science, Computer Science, Statistics, or Engineering is required.

Career Growth Opportunities

This position offers significant potential for professional growth, with opportunities to develop advanced machine learning and AI models that will elevate our supply chain capabilities. As you advance in this role, you will play an integral part in shaping our data and AI strategy.

Company Culture And Values

We are committed to fostering a diverse and inclusive workplace that values collaboration and innovation. Our culture prioritizes the well-being of our employees and a shared dedication to enhancing health outcomes globally. Join us in our mission to empower healthier lives through technology.

Compensation And Benefits

Competitive salary ranging from \(162,000 to \)203,000, depending on experience and location within the San Francisco area.
Comprehensive benefits package, including health, dental, vision, and mental health resources.
Generous time-off policy, including 20 days of paid time off, 13 paid holidays, and 8 days of flexible wellness time.
Additional employee perks including discounts for friends and family, paid sick leave, and parental leave.

Are you ready to leverage your data science expertise to make a meaningful difference? Apply today to join our innovative team!

Employment Type: Full-Time