Data Scientist: Forecasting & Optimization (Hybrid NYC)

Sciemo; North Carolina; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Sciemo is seeking a Data Scientist to turn customer data into decisions across forecasting, optimization, measurement, and validation. You’ll own modeling from exploration to production, collaborating with engineers and customer teams to ensure practical impact.

Early-career-friendly with mentorship from leadership and senior engineers in a fast-growing startup. Expect hands-on work with Python, SQL, and analytics on messy data, plus exposure to cloud and orchestration tools as you translate

Qualifications

• Experience developing and validating models on real, messy data.
• Strong foundation in statistics and machine learning: regression, time series, tree-based methods, experimental design.
• Proficiency in Python (pandas, scikit-learn) and SQL.
• Curiosity about the business problem behind the data, not just the modeling technique.
• Clear communication to both technical and non-technical audiences.
• Strong problem-solving, adaptability, and startup mindset.
• Eagerness to learn quickly in a startup environment.

Responsibilities

• 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 measurement approaches that quantify business impact.
• 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 others can read and build on.
• Translate business questions into analytical problems and communicate findings to teams.

Skills

Python

SQL

Pandas

scikit-learn

Modeling

Education

Bachelor's degree in a quantitative field

Tools

Spark

AWS

Orchestration tools

Job description

Sciemo is seeking a Data Scientist to turn customer data into decisions across forecasting, optimization, measurement, and validation. You’ll own modeling from exploration to production, collaborating with engineers and customer teams to ensure practical impact.

Early-career-friendly with mentorship from leadership and senior engineers in a fast-growing startup. Expect hands-on work with Python, SQL, and analytics on messy data, plus exposure to cloud and orchestration tools as you translate