Data Scientist

Alpharetta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Details:

Stefanini Group is hiring!

Exciting opportunity awaits let us help you get started!

Click Apply now or you may call Ranjit Kumar 1 or email at for faster processing!

Role and Responsibility:

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 & Modeling: 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.

Details:

Expectation from the Candidate:

Experience: 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:
1. Proficiency in Python and its key ML libraries (e.g. scikit-learn TensorFlow PyTorch).
2. Strong SQL skills for data querying and manipulation.
3. Familiarity with data visualization tools (e.g. Power BI Tableau).
4. 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.
Collaboration & Communication: Excellent communication skills to work effectively with diverse teams from plant operators to senior leadership.

Nice-to-Haves:

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

Listed salary ranges may vary based on experience qualifications and local market. Also some positions may include bonuses or other incentives

About Stefanini Group

The Stefanini Group is a global provider of offshore onshore and near shore outsourcing IT digital consulting systems integration application and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like Americas Europe Africa and Asia and more than 400 clients across a broad spectrum of markets including financial services manufacturing telecommunications chemical services technology public sector and utilities. Stefanini is a CMM level 5 IT consulting company with global presence. We are CMM Level 5 company.

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Required Experience:

Details:Stefanini Group is hiring!Exciting opportunity awaits let us help you get started!Click Apply now or you may call Ranjit Kumar 1 or email at for faster processing!Role and Responsibility:Groom AI/ML Use Cases: Collaborate with our manufacturing and business teams to pinpoint opportunities ...

Details:

Stefanini Group is hiring!

Exciting opportunity awaits let us help you get started!

Click Apply now or you may call Ranjit Kumar 1 or email at for faster processing!

Role and Responsibility:

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 & Modeling: 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.

Details:

Expectation from the Candidate:

Experience: 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:
1. Proficiency in Python and its key ML libraries (e.g. scikit-learn TensorFlow PyTorch).
2. Strong SQL skills for data querying and manipulation.
3. Familiarity with data visualization tools (e.g. Power BI Tableau).
4. 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.
Collaboration & Communication: Excellent communication skills to work effectively with diverse teams from plant operators to senior leadership.