Job description

Job Title: Data Scientist - Databricks/PySpark Location: Minneapolis, MN Employment Type: Full-Time About Us DMV IT Service LLC, founded in 2020, is a trusted IT consulting firm specializing in IT infrastructure optimization, cybersecurity, networking, and staffing solutions. We partner with clients to achieve technology goals through expert guidance, workforce support, and innovative solutions. With a client-focused approach, we also provide online training and job placements, ensuring long-term IT success. Job Purpose The Data Scientist - Databricks/PySpark will be responsible for designing, building, and deploying data pipelines and machine learning models that transform raw data into actionable insights. By improving data quality, enabling advanced analytics, and collaborating with diverse teams, this position will directly contribute to business growth and smarter decision-making. Requirements Key Responsibilities • Develop and deploy scalable data pipelines using Databricks and PySpark. • Design and implement machine learning models with Python libraries (e.g., Scikit-learn, TensorFlow). • Partner with cross-functional teams to define problems and deliver data-driven solutions. • Perform data cleansing and feature engineering to ensure accuracy and consistency. • Document technical processes for pipelines, models, and workflows. • Collaborate with stakeholders to prioritize data science initiatives. • Create data visualizations and dashboards to communicate insights effectively. • Stay current with emerging trends in data science, AI, and machine learning. • Work alongside data engineers to uphold data quality standards. • Participate in code reviews and help establish best practices for data science. Required Skills & Experience • 5+ years in data science or a related field. • 3+ years working with Databricks and PySpark. • 2+ years with Python and ML libraries (Scikit-learn, TensorFlow). • 2+ years with SQL and data warehousing. • Hands-on experience in machine learning model development and deployment. • Solid knowledge of data cleansing and feature engineering. • Excellent collaboration and communication abilities. Preferred Skills & Attributes • Experience with cloud-based platforms (e.g., Azure). • Familiarity with Agile methodologies. • Professional certifications (Certified Data Scientist, Certified Analytics Professional, etc.). • Healthcare domain knowledge is a plus, but not mandatory.

Requirements