Are you a hands-on technical professional passionate about leveraging machine learning to drive environmental sustainability and resource efficiency? A premier utility intelligence organization is seeking a Data Scientist to join their team in a direct-hire capacity. In this hybrid role located in Duluth, Georgia, you will dive deep into large-scale IoT data, building predictive models and analytical solutions that optimize utility operations. We offer a comprehensive benefits package that includes medical, dental, and vision coverage.
location: Duluth, Georgia
job type: Permanent
salary: $104,000 - 116,000 per year
work hours: 9am to 5pm
education: Bachelors
responsibilities:
- Kick off your day by participating in Agile sprint planning, aligning with product management and software engineering teams on key analytical requirements.
- Dive into massive volumes of time-series data generated by remote IoT devices, conducting exploratory analysis to uncover hidden trends and patterns.
- Architect and train machine learning models focused on predictive maintenance, anomaly identification, and resource consumption forecasting.
- Build robust data processing pipelines and perform advanced feature engineering utilizing Python, SQL, and modern distributed computing frameworks.
- Partner with development teams to seamlessly integrate your validated machine learning models into a production-level enterprise platform.
- Monitor the health, accuracy, and efficiency of deployed machine learning systems, ensuring continuous validation and quality control.
- Translate complex analytical findings into clear, actionable visualizations and reports for cross-functional stakeholders.
qualifications:
Must-Haves
Authorization to work in the United States without sponsorship (U.S. Citizen or Green Card Holder).
A proven track record of stable, multi-year tenures in full-time, direct-hire roles (candidates with primarily short-term contract backgrounds will not be considered).
A highly hands-on background with a strict focus on building, coding, and direct technical contribution rather than pure management or high-level architecture.
3 or more years of professional experience in data science, machine learning, or advanced analytics.
3 or more years of hands-on programming experience with Python and its core data science libraries (including pandas, NumPy, and scikit-learn).
Strong proficiency in SQL and relational database management.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
Nice-to-Haves
Hands-on experience with cloud platforms, preferably Amazon Web Services (SageMaker, Lambda, S3, Redshift).
Background in analyzing IoT data, utility operations, or specialized time-series forecasting.
Familiarity with distributed computing frameworks like PySpark.
Experience leveraging deep learning frameworks such as TensorFlow or PyTorch.
Prior success deploying machine learning models directly into live production environments.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
