Data Scientist

Data Scientist

• Title of Role: Data Scientist
• Location: Kendall Square MA remote
• Company Stage of Funding: Venture Round EdTech
• Office Type: Remote
• Salary: $100K$130K

Company Description

Were representing a leading organization in next-generation curriculum and assessment programs dedicated to serving K12 students and educators across the United States. Their core offerings span various subjects designed to engage students in rigorous learning and inspire independent thinking. This mission-driven environment emphasizes the importance of analytical work directly impacting educational outcomes at scale.

What You Will Do

• Build maintain and enhance forecasting models utilizing time-series approaches such as ARIMA/SARIMA and Prophet to support demand planning and inventory decisions.
• Develop and contribute to optimization models using advanced tools including XGBoost scikit-learn PyTorch and tidymodels.
• Write and optimize complex SQL queries to extract transform and analyze large datasets effectively.
• Translate analytical findings into clear actionable recommendations for non-technical stakeholders focusing on business outcomes like cost savings and improved decision-making.
• Collaborate closely with engineers and cross-functional partners to integrate models into production workflows.
• Identify and pursue opportunities where data science can create measurable impacts even in undefined areas.

Ideal Candidate Background

• 28 years of hands-on experience as a Data Scientist with a focus on building and deploying models in a professional setting.
• Demonstrated experience in supply chain analytics including inventory management demand planning or stockout reduction with a strong grasp of time-series forecasting.
• Proficient in SQL capable of writing complex queries to analyze large datasets independently.
• Strong programming skills in Python or R with familiarity in common modeling approaches and techniques.
• Excellent analytical problem-solving skills able to decompose vague business questions into structured analytical frameworks.

Preferred

• Experience working in environments focused on physical goods inventory or logistics challenges such as education publishing retail or consumer goods.
• A genuine interest in forecasting and optimization problems with a commitment to long-term growth and mission alignment.

Compensation and Benefits

The base salary for this role ranges from $100K to $130K with a focus on fostering a collaborative and impactful work environment that supports professional growth and development.

Required Experience:

IC