Senior Data Scientist

Role Overview

Build and improve sales forecasting models, develop statistical and machine learning solutions, and partner cross-functionally with analytics engineers and business stakeholders.

What You Will Do

Build sales forecasting models, develop machine learning solutions, create self-service forecasting tools, and translate model outputs into actionable business recommendations.

Why It Might Be a Fit

Ideal background includes 5+ years of experience in data science, machine learning, or quantitative analytics, with strong background in sales forecasting, revenue analytics, or time-series modeling.

Requirements

• 5+ years of experience in data science, machine learning, or quantitative analytics
• Strong background in sales forecasting, revenue analytics, or time-series modeling
• Expertise with forecasting methodologies such as ARIMA, Prophet, LSTM, or related approaches
• Advanced proficiency in Python or R for data analysis and machine learning workflows
• Strong SQL expertise for analytical and modeling use cases
• Experience training and evaluating machine learning models using frameworks such as PyTorch, scikit-learn, xGBoost, or equivalent
• Proven experience deploying machine learning systems into production environments such as AWS SageMaker, Databricks, or Snowflake
• Strong understanding of software engineering best practices including version control and testing
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders
• Comfortable operating independently in highly cross-functional environments

Benefits

• Annual discretionary bonus eligibility
• Comprehensive medical, dental, and vision coverage
• 401(k) retirement plan
• Mental health and wellness benefits
• Paid time off and parental leave
• Professional development and learning programs
• Fully remote work environment within the United States