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Senior Data Scientist

Job in Spring, Harris County, Texas, 77391, USA
Listing for: INSPYR Solutions
Full Time position
Listed on 2025-12-13
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Machine Learning/ ML Engineer, Data Engineer
Job Description & How to Apply Below

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Senior Data Scientist

Location: Spring, TX (Hybrid - 3 days onsite in 77389)
Duration: Direct-Hire
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US. W2/Direct-employment only.

Key Points
  • Strong experience in machine learning and building predictive models is key for this position.
  • 5 years of professional experience in an enterprise environment is required.
  • This position requires strong experience in using Databricks in a professional setting.
Job Duties /Responsibilities
  • 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 Dev Ops.
  • 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.
Knowledge,

Skills and Abilities

Required
  • Strong written and verbal communication skills, with the ability to translate complex data into actionable insights.
  • Experienced in working with cross-functional teams to understand business challenges and deliver data-driven solutions.
  • Proficient in machine learning, data mining, statistical analysis, and applied AI methods using Databricks, Azure ML, and Dataiku.
  • Skilled in developing scalable ML solutions and translating analytics into business impact.
  • 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, and familiarity with Azure AutoML.
  • Deep understanding of Azure Cloud resources, including Azure Machine Learning, Azure Dev Ops, Azure Cognitive Search, and Azure OpenAI.
  • 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 and guide strategic decisions through analytics.
  • Strong mentoring skills to support junior team members and interns.
  • Demonstrated ability to solve complex problems with innovative and practical solutions.
  • Entrepreneurial mindset with a focus…
Position Requirements
10+ Years work experience
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