SharkNinja is looking for a Data Scientist, Market Insights and Analytics to build and deploy advanced models that unlock commercial growth opportunities. You will work at the intersection of data, technology, and business to turn information into impact across our Sales, Category, and Marketing teams.
What You'll Do
- Design, build, and deploy predictive and prescriptive models (such as forecasting, elasticity, segmentation, and attribution) 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.
What We're Looking For
- 4+ years of experience in Data Science or Advanced Analytics.
- 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), SQL, and visualization tools.
- 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.
Nice to Have
- Experience ideally within consumer goods, retail, or e-commerce.
- Power BI experience preferred.
Technical Stack
- Languages & Tools: Python, R, SQL, Power BI
- Platforms & Frameworks: Snowflake, pySpark, Scikit-learn, prophet, pyTorch
- Key Disciplines: Machine Learning, Predictive Modeling, Forecasting, Price Elasticity, Segmentation, Attribution, Data Pipelines, Data Automation
Team & Environment
Supporting the Market Insights & Analytics organization. You will collaborate with Market Insights, Category, Sales, Data Foundations, and Visualization teams.
Benefits & Compensation
- Compensation: $122,040 - $149,160 USD
- Medical, dental, and vision insurance
- Flexible spending accounts and health savings accounts (HSA) with company contribution
- 401(k) retirement plan with matching
- Employee stock purchase program
- Life insurance, AD&D, and short-term & long-term disability insurance
- Generous paid time off, company holidays, and parental leave
- Identity theft protection, pet insurance, and pre-paid legal insurance
- Back-up child and eldercare days
- Product discounts and a referral bonus program
- High impact Learning Programs
Work Mode
This is a remote position open to candidates located in the United States.
SharkNinja does 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.
