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DMV IT Service

Sr Data Scientist(Databricks,PySpark,SQL)

DMV IT Service, Minneapolis, Minnesota, United States, 55400

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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. 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.

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