United States onlyAbout 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
Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, ADD, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more.
This posting will close within 90 days from the original posting date.
Our Culture
At SharkNinja, we don’t just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home.
What We Offer
We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what’s possible. When you join, you’re not just part of a company—you’re part of an outrageously extraordinary community. Together, we won’t just launch products—we’ll disrupt entire markets.
At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.
Learn more about us:
SharkNinja Candidate Privacy Notice
For candidates based in all regions, please refer to this Candidate Privacy Notice.
For candidates based in China, please refer to this Candidate Privacy Notice.
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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 accommodations@sharkninja.com
