JPS Tech Solutions
Sr Data Scientist(Databricks,PySpark,SQL)
JPS Tech Solutions, Minneapolis, Minnesota, United States, 55400
Sr Data Scientist (Databricks, PySpark, SQL)
Job Category:
Sr. Data Scientist Job Type:
Remote Job Location:
Minneapolis Minnesota Compensation:
Depends on Experience W2:
W2-Contract Only; kindly note that applications on a C2C basis will not be considered for this role. Job Id:
JPS-4583 Posted On:
09/29/2025 |
Closes On:
10/08/2025 Overview
The Data Scientist – Databricks/PySpark will play a critical role in driving business growth and improving operational efficiency by developing and deploying data-driven solutions using Databricks, PySpark, and other related technologies. Responsibilities
Develop and deploy scalable data pipelines and machine learning models to drive business insights and decision-making. Improve data quality and consistency through data cleansing and feature engineering techniques. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Develop and deploy scalable data pipelines using Databricks and PySpark. Design and implement machine learning models using Python and related libraries (e.g., Scikit-learn, TensorFlow). Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Perform data cleansing and feature engineering to improve data quality and consistency. Develop and maintain technical documentation for data pipelines and machine learning models. Work with stakeholders to identify and prioritize data-driven projects. Develop and deploy data visualizations to communicate insights to business stakeholders. Stay up-to-date with emerging trends and technologies in data science and machine learning. Collaborate with data engineers to ensure data quality and consistency. Participate in code reviews and contribute to the development of best practices for data science and engineering. Qualifications
5+ years of experience in data science or a related field. Strong background in data engineering (Databricks, PySpark, SQL). Experience with machine learning (Python, R, TensorFlow, PyTorch). 3+ years of experience with Databricks and PySpark. 2+ years of experience with Python and related libraries (e.g., Scikit-learn, TensorFlow). 2+ years of experience with SQL and data warehousing. Excellent communication and collaboration skills. Preferred Skills/Attributes
Experience with cloud-based data platforms (Azure). Experience with Agile development methodologies. Certification in data science or a related field (e.g., Certified Data Scientist). Professional License or Certification: Not required, but certifications like Certified Data Scientist or Certified Analytics Professional are a plus.
#J-18808-Ljbffr
Job Category:
Sr. Data Scientist Job Type:
Remote Job Location:
Minneapolis Minnesota Compensation:
Depends on Experience W2:
W2-Contract Only; kindly note that applications on a C2C basis will not be considered for this role. Job Id:
JPS-4583 Posted On:
09/29/2025 |
Closes On:
10/08/2025 Overview
The Data Scientist – Databricks/PySpark will play a critical role in driving business growth and improving operational efficiency by developing and deploying data-driven solutions using Databricks, PySpark, and other related technologies. Responsibilities
Develop and deploy scalable data pipelines and machine learning models to drive business insights and decision-making. Improve data quality and consistency through data cleansing and feature engineering techniques. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Develop and deploy scalable data pipelines using Databricks and PySpark. Design and implement machine learning models using Python and related libraries (e.g., Scikit-learn, TensorFlow). Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Perform data cleansing and feature engineering to improve data quality and consistency. Develop and maintain technical documentation for data pipelines and machine learning models. Work with stakeholders to identify and prioritize data-driven projects. Develop and deploy data visualizations to communicate insights to business stakeholders. Stay up-to-date with emerging trends and technologies in data science and machine learning. Collaborate with data engineers to ensure data quality and consistency. Participate in code reviews and contribute to the development of best practices for data science and engineering. Qualifications
5+ years of experience in data science or a related field. Strong background in data engineering (Databricks, PySpark, SQL). Experience with machine learning (Python, R, TensorFlow, PyTorch). 3+ years of experience with Databricks and PySpark. 2+ years of experience with Python and related libraries (e.g., Scikit-learn, TensorFlow). 2+ years of experience with SQL and data warehousing. Excellent communication and collaboration skills. Preferred Skills/Attributes
Experience with cloud-based data platforms (Azure). Experience with Agile development methodologies. Certification in data science or a related field (e.g., Certified Data Scientist). Professional License or Certification: Not required, but certifications like Certified Data Scientist or Certified Analytics Professional are a plus.
#J-18808-Ljbffr