Our purpose is to positively impact people’s lives every day in every home around the world! We work very hard to provide our consumers with high-quality, exciting 5-star products that make life easier. We thrive on passion and innovation and are looking for great people, with great ideas, who want to build the next big thing and develop while they do.
We are seeking a skilled Supply Chain Data Scientist to support our supply chain operations by leveraging data science, analytics, and predictive modeling. The successful candidate will provide insights into our logistics, procurement, inventory management, and supplier performance to optimize efficiency, reduce costs, and enhance decision-making.
This role is open to remote work.
Key Responsibilities:
- Data Analysis & Modeling:
- Analyze large datasets related to supply chain operations (e.g., inventory, supplier data, lead times, and logistics performance).
- Develop predictive models to forecast demand, inventory levels, and procurement needs.
- Use statistical methods, machine learning algorithms, and simulation techniques to optimize supply chain performance.
- Process Optimization:
- Identify bottlenecks and inefficiencies in the supply chain and recommend data-driven solutions.
- Analyze supply chain workflows to improve processes and reduce operational costs.
- Develop and implement dashboards to track key performance indicators (KPIs) and supply chain metrics in real-time.
- Collaboration & Communication:
- Work closely with cross-functional teams (procurement, logistics, manufacturing) to identify data needs and collaborate on problem-solving initiatives.
- Present findings and actionable insights to stakeholders through reports and data visualizations.
- Data Collection & Management:
- Work with IT and data teams to ensure data integrity, streamline data pipelines, and enhance data storage solutions.
- Design and maintain supply chain databases and data repositories to ensure continuous monitoring of performance metrics.
- Risk Management & Forecasting:
- Use data to assess and mitigate risks related to supply chain disruptions, supplier performance, and market changes.
- Create simulation models to anticipate and prepare for potential supply chain challenges.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Data Science, Supply Chain Management, Operations Research, Statistics, Mathematics, or a related field.
- 3+ years of experience in data science, analytics, or a similar role (preferably in a supply chain or logistics setting).
- Strong proficiency in programming languages (e.g., Python, R, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, Google Cloud).
- Familiarity with machine learning frameworks and predictive modeling.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work in a fast-paced, cross-functional environment and manage multiple projects.
Preferred Qualifications:
- Experience with ERP systems (e.g., SAP, Oracle) and supply chain management software.
- Advanced knowledge of inventory management, procurement, and logistics.
- Experience with big data tools and technologies (e.g., Hadoop, Spark).
- Understanding of AI and its potential applications in solving business problems.
- Knowledge of supply chain best practices and industry standards.
- Lead us to be “RARELY SATISFIED”
- Make things better each day; “PROGRESS OVER PERFECTION”
- Use your knowledge of our consumer, understand that “DETAILS MAKE THE DIFFERENCE”
- Deliver something great; “WINNING IS A TEAM SPORT”
- Be clear and honest, “COMMUNICATING FOR IMPACT”
We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at [email protected]
United States
