Sr. Data Scientist - Supply Chain Insights

Position Overview:

This Senior Data Scientist will play a pivotal role in driving data-driven decision-making across the supply chain. This position involves developing and implementing advanced digital solutions that enable the business to achieve its strategic initiatives priorities and goals. As a best-in-class analyst you will lead complex projects deploy cutting-edge tools and techniques and mentor junior analysts to elevate the overall analytical capabilities of the team.

Key Responsibilities:

• Design develop and manage sophisticated digital solutions to achieve organizational goals.
• Collaborate across the supply chain to understand and address complex challenges with innovative digital products.
• Lead and oversee digital product projects from requirements gathering through to adoption ensuring successful implementation and value delivery.
• Architect and optimize efficient data pipelines from source to end product leveraging advanced data engineering techniques.
• Combine deep business acumen with advanced analytical skills to contextualize visualizations and products providing actionable insights.
• Clearly communicate complex analysis findings summarize results and provide strategic recommendations to senior leadership and various organizational levels.
• Solve intricate analytics problems independently and collaboratively utilizing state-of-the-art tools and methodologies.
• Maintain and enhance a portfolio of digital products ensuring they continuously meet and exceed customer needs.
• Mentor and guide junior analysts fostering a culture of continuous learning and excellence.
• Stay abreast of the latest industry trends tools and techniques and proactively integrate them into the teams workflow.

Qualifications:

• A bachelors degree in Business Analytics Data Analytics Mathematics Engineering or a related quantitative discipline
• 6 years of professional experience in analytics or a related area of focus is required.
• Web application and or/software development experience required.
• Extensive experience with data ELT (Extract Load Transform) processes including advanced data engineering techniques.
• Azure AWS or Google Cloud Platform experience required.
• Advanced proficiency in Alteryx Power BI Snowflake SQL Server PowerApps Power Automate Copilot Studio and Data Robot.
• AI experience preferred.
• In-depth knowledge of data visualization techniques and tools with the ability to create compelling visualizations.
• Proficiency in machine learning and predictive analytics with experience deploying cutting-edge tools and techniques.
• Competence in presenting complex analytics products to business users and senior leadership providing actionable insights.
• Exceptional communication skills across all levels of the organization with the ability to convey complex analytical concepts clearly and effectively.
• Strong personal initiative and resourcefulness with a proven track record of driving projects to successful completion.
• Expertise in prioritizing and managing multiple complex tasks and deadlines effectively.
• Ability to work efficiently within tight deadlines and firm schedules demonstrating strong time management skills.
• Adaptability to embrace and drive change in a rapidly evolving environment.
• Advanced problem-solving and analytical skills with the ability to tackle intricate analytics challenges.
• Meticulous attention to detail and accuracy in all aspects of work.
• Ability to work both independently and collaboratively in a team setting demonstrating strong leadership and mentoring skills.
• Strong business acumen with the ability to understand and address complex business challenges through data-driven solutions.
• Continuous learning mindset staying updated with the latest industry trends tools and methodologies.

Working Conditions:

Hybrid office environment (3 days in office 2 days of flexibility)