Data Scientist, Market Insights and Analytics

About Us 

SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.  

 

The Role

As a Data Scientist supporting our Market Insights & Analytics organization, you’ll build and deploy advanced models and analytical capabilities that unlock commercial growth opportunities. You’ll work at the intersection of data, technology, and business — helping SharkNinja turn information into impact across our Sales, Category, and Marketing teams.

Here’s What You’ll Do

• Design, build, and deploy predictive and prescriptive models (forecasting, elasticity, segmentation, attribution, etc.) in the cloud
• Combine and analyze large-scale data sources — including POS, retailer, Amazon Vendor Central, and syndicated data — to identify key performance drivers
• Collaborate closely with Market Insights, Category, and Sales teams to embed data science into commercial decision-making
• Automate and scale analytics using Python, SQL, and Snowflake to improve speed and consistency
• Partner with Data Foundations and Visualization teams to strengthen data pipelines and Power BI reporting
• Translate complex model results into clear business recommendations and present them to senior stakeholders

Here’s What You’ll Bring

• 4+ years of experience in Data Science or Advanced Analytics, ideally within consumer goods, retail, or e-commerce
• Proficiency building a variety of statistical and machine learning models (e.g. time series forecasting, linear/logistic regression, tree based and deep learning models)
• Proficiency in Python and/or R for machine learning (e.g. Scikit-learn, prophet, pyTorch etc.), SQL, and visualization tools (Power BI preferred)

Experience working with big data in the cloud (Snowflake, pySpark etc.) and/or experience deploying and monitoring machine learning models in production.

• Strong communication and problem-solving skills with the ability to translate technical insights into business outcomes
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or other strongly quantitative field

What Success Looks Like

• Predictive models embedded into commercial planning and forecasting processes.
• Clear, actionable insights that improve revenue, margin, and decision speed.
• Scalable, automated analytics that reduce manual work and accelerate delivery.

Skills & Tools

Python | SQL | Snowflake | Power BI | Machine Learning | Predictive Modeling | Forecasting | Price Elasticity | Segmentation | Attribution | Data Pipelines | Data Automation | Retail & POS Data | Amazon Vendor Central | Consumer Insights

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