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INSPYR Solutions · 1 day ago

Senior Data Scientist

Spring, TX

Full-time

Hybrid

Senior Level

7+ years exp

INSPYR Solutions is a national expert in delivering flexible technology and talent solutions. They are seeking a Senior Data Scientist to apply advanced data science concepts and collaborate with cross-functional teams to build scalable ML solutions and deliver actionable insights.

Information TechnologyProfessional ServicesStaffing Agency

No H1B

U.S. Citizen Only

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 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

Qualification

Machine LearningDatabricksPythonAzure Machine LearningSQLPySparkData MiningStatistical AnalysisDelta LakeAzure DevOpsEntrepreneurial MindsetCommunication SkillsMentoringProblem SolvingAdaptability

Required

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

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 DevOps, 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 on experimentation, scalability, and business value

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 with relevant experience

Required - bachelor's degree in data science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience