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Senior Data Scientist

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INSPYR Solutions

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Location:
United States , Spring

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Responsibility:

  • Apply advanced data science concepts to deliver data-driven digital offerings and insights using Databricks Lakehouse architecture
  • Utilize modern machine learning methods and domain understanding to support the creation of new products and services, leveraging MLflow for experiment tracking and model lifecycle management
  • Collaborate with data and analytics teams and cross-functional departments such as digital, services, class, and engineering to build scalable ML solutions and deliver actionable insights
  • Write independent source code in Python, PySpark, and SQL, validate and test models, and use Databricks Feature Store for consistent feature reuse and governance
  • Design and implement robust data architectures using Delta Lake and manage data assets securely via Unity Catalog and Azure Data Lake
  • Combine Agile methodologies with data science practices to build advanced analytics and AI products using Databricks Workflows and Azure ML Pipelines
  • Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML, ensuring scalability, performance, and governance
  • Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions using Databricks Jobs, CI/CD pipelines, and Azure DevOps
  • Support organizational decision-making based on the results of analytics efforts, ensuring traceability and governance via Unity Catalog and Azure Purview
  • Work independently on data engineering, preprocessing, and preparation tasks using Databricks Notebooks, SQL Warehouses, and Azure Synapse Analytics
  • Mentor data scientists, ASPIRES, and interns, providing guidance and support in their professional development and technical growth
  • Evaluate and partner with external customers, vendors, university relations, and other teams to drive innovation and collaboration
  • Stay current in the field of AI and advanced analytics, with a focus on innovations within the Databricks, Azure, and OpenAI ecosystems, including LLMs, GenAI, and MLOps
  • Develop and deploy scalable and interpretable data products per business-defined requirements using Databricks Repos, Model Serving, and Azure Machine Learning

Requirements:

  • Strong experience in machine learning and building predictive models
  • 5 years of professional experience in an enterprise environment
  • Strong experience in using Databricks in a professional setting
  • 2 to 3 years' work experience as a Senior Data Scientist and over 7 years' experience in Data Science, Information Systems, Computer Science, Engineering or other relevant field
  • Bachelor's degree in data science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience
  • Strong written and verbal communication skills
  • Experienced in working with cross-functional teams
  • Proficient in machine learning, data mining, statistical analysis, and applied AI methods using Databricks, Azure ML, and Dataiku
  • Skilled in developing scalable ML solutions
  • Advanced proficiency in Python, PySpark, SQL, and tools such as Jupyter, VS Code, and MLflow
  • Experience with database technologies and architectures including Delta Lake, Azure Data Lake, SQL Warehouses, and Synapse Analytics
  • Hands-on experience with AutoML platforms such as Dataiku
  • Deep understanding of Azure Cloud resources
  • Familiarity with Generative AI solutions, Large Language Models, and NLP frameworks like Hugging Face Transformers
  • Ability to quickly adapt and learn new domains, technologies, and platforms
  • Proven ability to lead data-driven projects
  • Strong mentoring skills
  • Demonstrated ability to solve complex problems
  • Entrepreneurial mindset
  • US Citizen, GC Holders or Authorized to Work in the US

Nice to have:

  • Master's degree in data science, Data Analytics, Information Systems, Computer Science, Engineering or other relevant field
  • Career Essentials in Generative AI by Microsoft and LinkedIn
  • Build Your Generative AI Productivity Skills with Microsoft and LinkedIn
  • Azure AI Fundamentals
  • Azure Data Scientist Associate
  • Azure AI Engineer Associate
What we offer:
  • Comprehensive medical benefits
  • Competitive pay, 401(k)
  • Retirement plan

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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