Data Scientist

About Us

SharkNinjais a global product design and technology company with a diversified portfolio of 5-star rated lifestyle solutions that positivelyimpactpeoples lives in homes around the world. Powered by two trusted global brands Shark and Ninja the company has a proventrack recordof bringing disruptive innovation to market and developing one consumer product after another has allowedSharkNinjato enter multiple product categories driving significant growth and market share gains. Headquartered in Needham Massachusetts with more than4100associates the companys products are sold at key retailers online and offline and through distributors around the world.

AI at SharkNinja

At SharkNinja were building an AI-native culture. Were not waiting for the future; were creating it. Our people are expected to experiment boldly adopt new tools and continuously raise whats possible to create meaningful impact for our consumers. If you believe the best way to do your job hasnt been invented yet youll fit right in.

We are seeking a skilled Data Scientist to support ourBI & Analytics team supporting Global Operations and Financebyleveragingdata science analytics and predictive modeling. The successful candidate will provideoperational and financialinsights into ourlogistics procurementforecastinginventory management and supplier performance tooptimizeefficiency reduce costs and enhance decision-making.

Key Responsibilities:

• Data Analysis & Modeling:

• Analyze large datasets related toglobal operations and finance(e.g. inventoryforecastspendingandlogisticsperformance).

• Develop predictive models to forecast demand inventory levels and procurement needs.

• UseAIstatistical methods machine learning algorithms and simulation techniques to optimize supply chain performance.

• Process Optimization:

• Identifybottlenecks and inefficiencies in the supply chain order managementlogistics and inventory balancingand recommend data-driven solutions.

• Analyzeoperational workflowsto 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 (procurementsupply/demand finance order managementlogistics manufacturing) toidentifydata 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 andmaintainsupply 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 toanticipateand prepare for potential supply chain challenges.

Required Skills & Qualifications:

• Bachelors orMasters degree in Data Science Supply Chain Management Operations Research Statistics Mathematics ora relatedfield.

• 3 years of experience in data science analytics or a similar role (preferably in a supply chain orlogisticssetting).

• Strongproficiencyin 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 andlogistics.

• Experience with big data tools and technologies (e.g. Hadoop Spark).

• Understanding ofAI and its potential applications in solving business problems.

• Knowledge of supply chain best practices and industry standards.