Data Scientist

Alpharetta, GA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Role: Data Scientist

Employment Type: Contract (6 months)

Location: Alpharetta GA 30005

Working Module: Onsite Hybrid

C2C Rate: $60/hr. on C2C all-inclusive max

Experience Required: 5-6 years overall (3 Years in AI)

Number of interviews: 2 to 3

Role and Responsibility:

We are seeking for a Data Scientist.
Groom AI/ML Use Cases: Collaborate with our manufacturing and business teams to pinpoint opportunities where AI and machine learning can solve problems improve efficiency and create value.
Youll help define project scopes and success metrics.
Execute End-to-End ML Projects: Take ownership of machine learning initiatives from start to finish.
This includes everything from data collection and preparation to model development deployment and ongoing monitoring in production environments.
Programming & Data Engineering: Write clean efficient code (primarily in Python) to build data pipelines develop machine learning models and automate analytical workflows. Youll also work with SQL for data extraction and manipulation

Data Analysis & Modelling:

Dive deep into manufacturing data (from sources like MES ERP and IoT sensors) to uncover patterns engineer features and build robust predictive or prescriptive models (e.g. for quality maintenance or process optimization).

Communicate Insights:

Translate complex technical findings into clear understandable recommendations for non-technical stakeholders helping them make data-driven decisions.

Expectation from the Candidate:

3 years of experience in AI Machine Learning or Data Science with a strong preference for experience in a manufacturing or industrial setting.
Technical Prowess: Proficiency in Python and its key ML libraries (e.g. scikit-learn TensorFlow PyTorch).
Strong SQL skills for data querying and manipulation.
Familiarity with data visualization tools (e.g. Power BI Tableau).
Basic understanding of MLOps concepts for model deployment and management.
Domain Knowledge (Nice to have): Understanding of manufacturing processes data sources (like MES ERP) and common challenges (e.g. quality control predictive maintenance order backlog etc).
Problem-Solving Skills: A curious mind and the ability to break down complex problems into manageable data-driven solutions.

Good to have:

Manufacturing Domain exposure.
Experience with cloud platforms (AWS Azure GCP).
Knowledge of time-series analysis anomaly detection or optimization techniques.

Collaboration & Communication:

Excellent communication skills to work effectively with diverse teams from plant operators to senior leadership.

Role: Data Scientist Employment Type: Contract (6 months) Location: Alpharetta GA 30005 Working Module: Onsite Hybrid C2C Rate: $60/hr. on C2C all-inclusive max Experience Required: 5-6 years overall (3 Years in AI) Number of interviews: 2 to 3 Role and Responsibility: We are seeking for...