Data Scientist

Lutron Electronics; Boston (MA); On-site; USD 120,000 - 135,000; Full time

Benefits offered by this job

401k match

Health insurance

Dental insurance

Life insurance

Paid vacation

Flexible spending accounts

Tuition reimbursement programs

Job summary

A leading lighting technology company in Boston is searching for a Data Scientist to enhance customer experiences and optimize products. This role involves applying data science, analytics, and machine learning to real-world challenges. The ideal candidate will have over 4 years of experience, a graduate degree in a relevant field, and proficiency in Python or R. The position offers a competitive salary from $120,000 to $135,000 annually, along with comprehensive benefits including health insurance and a 401k match.

Qualifications

• 4+ years of hands-on experience in data science, analytics, or machine learning.
• Minimum cumulative GPA of 3.00 for all degrees earned.
• Familiarity with common machine learning techniques such as regression, classification, clustering, and time series analysis.

Responsibilities

• Contribute to end-to-end data science projects that improve product performance.
• Translate business questions into analytical approaches with clear metrics.
• Develop, test, and validate machine learning models and statistical analyses.

Skills

Data Science

Analytics

Machine Learning

Python

R

SQL

Education

Graduate degree in Data Science, Computer Science, Statistics, or related field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

At Lutron, we are transforming how people experience light through intelligent, connected lighting devices and systems. As a Data Scientist, you will apply data science, analytics, machine learning, and AI to help improve customer experiences, products, and business operations. You will work closely with senior data scientists, engineers, product managers, and business partners to turn data into actionable insights and deploy models into production.

Responsibilities

• Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and problem‑solving skills.
• Translate business questions into analytical approaches with clear metrics and success criteria.
• Develop, test, and validate machine learning models and statistical analyses under guidance from senior team members.
• Partner with engineering and product teams to support deployment of models and analytics into production systems.
• Apply best practices in data cleaning, feature engineering, model evaluation, and documentation.
• Communicate findings, insights, and technical concepts clearly and effectively to technical and non‑technical stakeholders.
• Continuously learn and apply new data science and machine learning techniques relevant to Lutron’s products and business.

Qualifications

• Graduate degree in Data Science, Computer Science, Statistics, or a related field.
• Minimum, cumulative GPA of 3.00 for all degrees earned.
• 4+ years of hands‑on experience in data science, analytics, or machine learning.
• Proficiency in Python or R, with working knowledge of SQL.
• Familiarity with common machine learning techniques such as regression, classification, clustering, and time series analysis.
• Experience using ML libraries such as scikit‑learn, TensorFlow, PyTorch, or similar.

Desired Qualifications

• Experience deploying models into production environments.
• Exposure to cloud services from AWS, Azure, or similar providers.
• Experience working with IoT or sensor data.
• Familiarity with Agile development practices.

Starting pay: $120,000 - $135,000 per year; Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation (amount based on tenure with the company), flexible spending accounts, and tuition reimbursement programs.

Lutron Electronics is an Equal Opportunity – Affirmative Action – Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics.