nData Scientist

Lutron Electronics Co., Inc.

Boston, MA, United States

9 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Compensation

$120,000.0 - $135,000.0

Working hours

Regular working hours

Job source

jobs.military.com

Tech stack

Agile Methodology Amazon Web Services Microsoft Azure Python (Programming Language) Machine Learning Cloud Services Tensorflow Pytorch Scikit Learn Information Technology Machine Learning Operations

Requirements

Graduate degree in Data Science, Computer Science, Statistics, or a related field \n
Minimum, cumulative GPA of 3.00 for all degrees earned \n
4+ years of hands-on experience in data science, analytics, or machine learning \n
Proficiency in Python or R, with working knowledge of SQL \n
Familiarity with common machine learning techniques such as regression, classification, clustering, and time series analysis \n
Experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar \n, * Experience deploying models into production environments \n
Exposure to cloud services from AWS, Azure, or similar providers \n
Experience working with IoT or sensor data \n
Familiarity with Agile development practices\n

Benefits & conditions

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. \n
Translate business questions into analytical approaches with clear metrics and success criteria, \n
Develop, test, and validate machine learning models and statistical analyses under guidance from senior team members \n
Partner with engineering and product teams to support deployment of models and analytics into production systems \n
Apply best practices in data cleaning, feature engineering, model evaluation, and documentation \n
Communicate findings, insights, and technical concepts clearly and effectively to technical and non-technical stakeholders \n
Continuously learn and apply new data science and machine learning techniques relevant to Lutron’s products and business \n, 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. “ \n \n Lutron Electronics’ position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent. Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at www.lutron.com. \n \n 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 \n \n #LEC1 \n \n #LI-VV1 \n \n #LI-ONSITE\n \n PI286988643”, “hiringOrganization”: {“@type”: “Organization”, “name”: “ICIMS - Lutron Electronics Company, Inc”}, “jobLocation”: {“address”: {“addressCountry”: “United States”, “streetAddress”: “Not specified”, “@type”: “PostalAddress”, “postalCode”: “02108”, “addressLocality”: “Boston”, “addressRegion”: “Not specified”}, “@type”: “Place”}, “industry”: “”, “identifier”: {“@type”: “PropertyValue”, “name”: “ICIMS - Lutron Electronics Company, Inc”, “value”: “286988643”}, “baseSalary”: {“@type”: “MonetaryAmount”, “currency”: “USD”, “value”: {“@type”: “QuantitativeValue”, “value”: “100000”, “unitText”