Senior Data Scientist - Newton Ma

Job Description A growing organization in the Boston area is seeking a Senior Data Scientist to join its analytics and machine learning team. This role is ideal for an experienced data professional who enjoys solving complex business problems through advanced analytics, predictive modeling, and data-driven decision making.

As a key member of the team, you'll work with large datasets, develop machine learning solutions, and collaborate with stakeholders across the organization to deliver actionable insights that have a direct impact on business outcomes. This is an opportunity to own projects from concept through deployment while helping shape the company's data strategy.

Location: Newton, MA (Hybrid)

Compensation: Up to $160,000 Base Salary Required Skills & Experience

• 5+ years of professional experience in Data Science, Machine Learning, or Advanced Analytics
• Strong proficiency in Python and SQL
• Experience building, validating, and deploying machine learning models in production environments
• Deep understanding of statistical analysis, hypothesis testing, and predictive modeling
• Experience working with large and complex datasets
• Hands-on experience with data visualization and communicating insights to business stakeholders
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field

Desired Skills & Experience

• Master's degree or PhD in a quantitative discipline
• Experience with AWS, Azure, or Google Cloud Platform
• Familiarity with MLOps, model monitoring, and automation practices
• Experience with Tableau, Power BI, or similar BI tools
• Knowledge of NLP, forecasting, recommendation systems, or optimization techniques
• Experience in a fast-paced, data-driven organization

What You Will Be Doing Daily Responsibilities

• Design and develop machine learning and predictive analytics solutions
• Analyze large datasets to uncover trends, patterns, and opportunities for business improvement
• Partner with technical and non-technical stakeholders to define analytical requirements
• Build statistical models and evaluate their effectiveness through testing and experimentation
• Create dashboards, reports, and visualizations to communicate findings
• Deploy, monitor, and improve models used in production
• Help establish best practices for data science, model governance, and analytics workflows

The Offer

• Base salary up to $160,000
• Annual performance bonus
• Hybrid work schedule in Newton, MA
• Opportunity to work on high-impact data and machine learning initiatives
• Strong career growth potential within a growing organization

You will receive the following benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) with company match

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted By: Nick Ramler