Data Scientist

Sciemo is a startup developing AI solutions for consumer brands using machine learning, generative AI, agent-based systems, and graph technologies. The Data Scientist will develop and validate models for forecasting, optimization, anomaly detection, and measurement, analyze customer data, and partner with engineering and customer-facing teams to bring models into production and demonstrate business impact.

What you'll do:

• Develop, validate, and iterate on models for forecasting, optimization, anomaly detection, and measurement
• Perform exploratory analysis on complex customer datasets to surface patterns worth acting on
• Design and analyze experiments; build the measurement approaches that quantify business impact
• Establish rigorous validation practices — backtesting, holdouts, and honest error analysis
• Partner with ML and data engineers to move models from notebook to production
• Contribute to feature engineering, evaluation pipelines, and model monitoring
• Write clean, reproducible Python that other people can read and build on
• Translate business questions into analytical problems, and analytical results back into recommendations
• Communicate findings clearly to internal teams and customers, including non-technical audiences
• Follow deployed models into the real world and help make sure they're delivering what we promised

What they're looking for:

• • Experience developing and validating models on real, messy data — through internships, prior roles, or substantive project work
• • Solid foundation in statistics and machine learning: regression, time series, tree-based methods, experimental design
• • Strong Python (pandas, scikit-learn, and the surrounding ecosystem) and strong SQL
• • Curiosity about the business problem behind the data, not just the modeling technique
• • Clear communication — you can explain what you did, why, and what it means, to someone who doesn't do this for a living
• • Strong problem-solving skills, adaptability, and a "hacker" mentality
• • Eagerness to learn quickly in a startup environment
• Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office
• • Exposure to CPG, retail, or consumer brand data
• • Experience with Spark, cloud platforms (AWS or similar), or orchestration tools
• • Familiarity with LLMs and their practical use in analytical workflows

Benefits:

• Direct mentorship from the Co-Founder & CAIO and senior engineers
• Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to the NYC office