Data Scientist – Remote - FS

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At Fresche Solutions, we offer great work-life balance with flexible hours. You can work anywhere in the USA… either from your home or in one of our offices… the decision is up to you.

We believe in leading our industry, in innovation, in delighting our customers, guaranteeing their success, and ensuring that 100% of our customers are referenceable.

As a Data Scientist, you’ll design, develop, and deploy advanced analytics and machine learning models that power real business outcomes. You’ll work cross‑functionally with Data Engineers, Product Owners, and AI Specialists to turn data into insight and insight into action.

In this role, you will:

• Solve real‑world problems using large and complex datasets — identify business opportunities, build predictive models, and deliver actionable insights.
• Write clean, efficient code (Python, PySpark, SQL, etc.) to acquire, manipulate, and analyze structured and unstructured data.
• Develop, test, and deploy machine learning and statistical models tailored to specific business challenges.
• Apply generative AI techniques to extract value from unstructured data and optimize analytical workflows.
• Implement models in production by collaborating with Software Developers, Data Engineers, and ML Engineers.
• Communicate complex technical insights clearly to both technical and non‑technical audiences.
• Contribute to our AI roadmap and help evolve our model deployment and MLOps practices.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.
• PhD in a relevant discipline is a plus.
• Must be able to work in the United States.

• 6+ years of professional experience developing and deploying Data Science solutions.
• Proven experience applying machine learning and statistical modeling techniques to solve business problems.
• Ideally coming from a consulting environment (not required, nice to have).

• Proficiency in Python and core data science libraries (pandas, Num Py, scikit‑learn, PyTorch, Tensor Flow).
• Strong SQL skills (Microsoft SQL Server or equivalent) for data extraction, transformation, and performance optimization.
• Experience with MLOps pipelines and model lifecycle tools such as MLflow, Azure Machine Learning, or Databricks.
• Deep understanding of cloud data ecosystems (Azure preferred).
• Familiarity with REST APIs, Git‑based version control, CI/CD practices, and debugging methodologies.

• Experience with the Azure AI ecosystem — Azure AI Foundry, Azure Machine Learning, Databricks, Synapse Analytics, and Microsoft Fabric.
• Familiarity with Azure AI Search, Copilot Studio, and Azure Functions or Logic Apps.
• Background in Azure Dev Ops, microservices, and unit testing.

We are always looking for highly motivated, energetic, creative individuals who work well in a fast‑moving team environment and are committed to excellence.

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