Sr. Data Scientist

A client in Spring, Tx is looking for a Sr. Data Scientist to join their Data Analytics Team. The Data Scientist must be proficient with Databricks and Azure AI. They would be joining a team of 3 other Data Scientist, helping with current and futuristic projects. This individual must be able to lead data-driven projects, guide strategic decisions, and provide strong mentorship to support junior team members and interns.
This role will start as a 6 month contract with the goal to extend or convert to a full time employee. It will require working a hybrid schedule, on-site Tuesday-Thursday. The hourly pay for this role will be $55-65/hr depending on level of skills and years of experience.
Job Duties:
- 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.
- Develop and deploy scalable and interpretable data products per business-defined requirements using Databricks Repos, Model Serving, and Azure Machine Learning
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Required Skills & Experience
5+ Years of Experience as a Data Scientist
Strong Communication and Leadership Skills
Bachelor's degree in data science, Information Systems, Computer Science, Engineering or other relevant field
Proficient in machine learning, data mining, statistical analysis, and applied AI methods using Databricks, Azure ML
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 Azure AutoML
Deep understanding of Azure Cloud resources, including Azure Machine Learning, Azure DevOps, Azure Cognitive Search, and Azure OpenAI
Nice to Have Skills & Experience
Azure / AI Certifications
Lead Experience
Familiarity with Dataiku, Generative AI solutions, Large Language Models, and NLP frameworks like Hugging Face Transformers.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.