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Data Scientist
Data ScientistFincons.US, Inc. • Alpharetta, GA, US
Data Scientist

Data Scientist

Fincons.US, Inc. • Alpharetta, GA, US
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Fincons Group is looking for an experienced AI / Machine Learning Engineer to support data-driven initiatives across complex business and operational environments.

This role focuses on identifying high-impact AI / ML use cases, developing and deploying machine learning solutions, and working closely with cross-functional stakeholders to turn data into actionable insights.

The ideal candidate brings a strong technical foundation, a problem-solving mindset, and the ability to communicate effectively with both technical and non-technical teams.

Identify AI / ML Opportunities :

  • Partner with cross-functional business and technical teams to identify and define AI and machine learning use cases that improve efficiency, performance, and decision-making.
  • Help shape project scope, objectives, and success metrics.

End-to-End ML Delivery :

  • Own machine learning projects throughout their lifecycle, including data collection, preprocessing, model development, deployment, and ongoing monitoring in production environments.

    • Programming & Data Engineering :

  • Develop clean, maintainable code (primarily in Python) to build data pipelines, implement ML models, and automate analytical workflows.
  • Use SQL for data extraction and transformation.

    • Data Analysis & Modeling :

  • Analyze large, complex datasets from operational systems (e.g., ERP, MES, IoT, or similar sources) to identify trends, engineer features, and build predictive or prescriptive models.

    • Stakeholder Communication :

  • Translate technical findings into clear, actionable insights for non-technical stakeholders to support data-driven decisions.

    • Qualifications & Experience Experience :

  • 3+ years of hands-on experience in AI, Machine Learning, or Data Science.
  • Experience in industrial, manufacturing, or operational environments is a plus.

    • Technical Skills :

  • Strong proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Solid SQL skills for querying and data manipulation Experience with data visualization tools (e.g., Power BI, Tableau, or similar) Basic understanding of MLOps concepts, including model deployment and monitoring Problem-Solving : Demonstrated ability to break down complex problems and deliver practical, data-driven solutions.

    • Communication & Collaboration :

  • Strong communication skills with the ability to work effectively across technical and non-technical teams.
  • Nice to Have Experience with cloud platforms such as AWS, Azure, or GCP Exposure to time-series analysis, anomaly detection, optimization techniques, or similar advanced analytics Familiarity with operational or manufacturing data and processes (e.g., quality, maintenance, supply chain) Powered by JazzHR
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