Data Scientist
The Data Scientist at Confidential Client applies advanced data science, machine learning, and AI techniques to enhance product performance, customer experience, and operational efficiency. Collaborating with cross-functional teams, the role involves developing, validating, and deploying machine learning models into production while communicating insights to diverse stakeholders. This position offers an opportunity to impact intelligent lighting solutions through innovative data-driven approaches in a technology-driven environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Manufacturing,Computers and Electronics Manufacturing,Appliances, Electrical, and Electronics Manufacturing.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
- Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency.
- Translate business questions into analytical approaches with clear metrics and success criteria.
- Develop, test, and validate machine learning and statistical models (regression, classification, clustering, time-series).
- Perform data cleaning, feature engineering, model evaluation, and documentation following best practices.
- Partner with engineering and product teams to support deployment and monitoring of models in production.
- Communicate findings clearly to technical and non-technical stakeholders.
- Continuously learn and apply new data science and machine learning techniques relevant to our client’s products and business.
Qualifications
- Graduate degree in Data Science, Computer Science, Data Analytics, Statistics, or 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 and working knowledge of SQL.
- Experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
- Familiarity with machine learning techniques: regression, classification, clustering, and time-series analysis.
- Authorized to work in the U.S. without the need for visa sponsorship now or in the future — Confidential Client will not sponsor employment visas for this position.
- Strong analytical thinking, problem solving, and written/verbal communication skills.
Desired / Preferred Qualifications
- Experience deploying models into production and monitoring model performance.
- Exposure to cloud platforms (AWS, Azure, or similar).
- Experience working with IoT or sensor data.
- Familiarity with Agile development practices and cross-functional collaboration.
Compensation & Benefits
- Starting pay: $120,000 - $135,000 per year.
- Benefits typically include 401(k) match, health, dental, life insurance, paid time off (based on tenure), flexible spending accounts, and tuition reimbursement programs.
- Generous relocation support is available to help make your transition as seamless as possible.
Location & Work Authorization
- This role is based in Brockton, MA. Relocation assistance is offered.
- Applicants must be authorized to work in the U.S. without sponsorship.
Why Apply via Careertakes
- Careertakes is a neutral, third-party recruiting partner helping match qualified candidates to this confidential client in the manufacturing & electronics industry.
- Applicants may gain exposure to additional, relevant opportunities through the Careertakes platform.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
Negotiate a higher salary! Check the salary ranges for this job type in your area.
View My Salary Range