Sciemo
Data Scientist
$150K–$300K
New York City +4 · Hybrid · Full-time · Posted Aug 24, 2026
- Location
- New York City
United States
Raleigh-Durham
Atlanta
Philadelphia - Experience
- No specific number of years stated; experience may come from internships, prior roles, or substantive project work.
About the job
Build and validate data science models and analyses that turn consumer-goods customer data into business decisions, and partner with engineers and customer-facing teams to put them into production and measure their impact.
What you'll do
- Develop, validate, and iterate on forecasting, optimization, anomaly-detection, and measurement models; analyze complex customer data and experiments.
- Partner with ML and data engineers on production deployment, feature engineering, evaluation pipelines, and monitoring.
- Translate business questions and analytical results into recommendations, communicate findings to customers and internal teams, and assess deployed-model impact.
What they ask for
- Experience developing and validating models on real-world data through internships, prior roles, or substantive projects.
- Foundation in statistics and machine learning, including regression, time series, tree-based methods, and experimental design.
- Strong Python (including pandas and scikit-learn) and strong SQL.
- Clear communication and problem-solving skills; curiosity about business problems and adaptability.
Nice to have
- Exposure to CPG, retail, or consumer brand data.
- Experience with Spark, cloud platforms (AWS or similar), or orchestration tools; familiarity with LLMs in analytical workflows.
Pay
$150K – $300K (base salary); 25% discretionary performance bonus (amount not specified)
Tools
Python, pandas, scikit-learn, SQL, Spark, AWS, LLMs
AI focus
Build forecasting, optimization, anomaly-detection, and measurement models for Sciemo’s AI platform; practical use of LLMs in analytical workflows is a nice-to-have.
Model-written summary · the original posting is authoritative