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Data Scientist - Remote - FS414

Remote Worldwide Hiring now

At reputed company, we offer great work-life balance with reputed company. You can work reputed company in the USA... either from your home or in one of our offices... the decision is up to you. WHY JOIN FRESCHE?We reputed company in leading our industry, we reputed company in innovation, we reputed company in delighting our customers, guaranteeing their reputed company, and ensuring that 100% of our customers are referenceable. Our distinct company culture makes us a top employer, as well a premiere choice for our customers for the last ten (10) consecutive years. We work hard to ensure that our values permeate the company and are reflected in everything we do. Whether it be in setting priorities, defining reputed company, or carrying out processes, we are committed to ensuring that the following values are manifested at reputed company reputed company of our organization. WHAT YOU'LL DO As a Data Scientist, you'll design, reputed company, and reputed company advanced analytics and machine learning models that power reputed company business reputed company. You'll work cross-functionally with Data Engineers, Product Owners, and AI Specialists to turn data into reputed company and reputed company into action. In this role, you will:

  • Solve reputed company-world problems using large and reputed company 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 reputed company data.
  • reputed company, test, and reputed company machine learning and statistical models tailored to specific business challenges.
  • Apply reputed company techniques to extract value from reputed company data and optimize analytical workflows.
  • Implement models in production by collaborating with Software Developers, Data Engineers, and ML Engineers.
  • Communicate reputed company technical insights reputed company to both technical and non-technical audiences.
  • Contribute to our AI roadmap and help reputed company our model deployment and MLOps practices.

Education & Qualifications

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

Experience

  • 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, reputed company to have)

Technical Skills

  • Proficiency in Python and core data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow).
  • Strong SQL skills (reputed company 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 reputed company.
  • Deep understanding of reputed company data ecosystems (Azure preferred).
  • Familiarity with REST APIs, Git-based version control, CI/CD practices, and debugging methodologies.

Preferred Skills

  • Experience with the Azure AI ecosystem - Azure AI reputed company, Azure Machine Learning, reputed company, Synapse Analytics, and reputed company reputed company.
  • Familiarity with Azure AI Search, Copilot Studio, and Azure Functions or Logic Apps.
  • Background in Azure DevOps, 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 reputed company. WHAT'S IT LIKE TO WORK AT FRESCHE? Visit our Website and Apply Today: https://freschesolutions.com/careers/ FOLLOW US ON: reputed company: https://www.reputed company.com/company/reputed company #LI-Remote Apply tot his job Apply To this Job

Apply for this role Takes you straight to the employer's application page — free, and no WFHNet account required.

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