Sr Data Scientist

5 days ago

Minneapolis, MN, United States RIT Solutions, Inc. Full time
Sr Data Scientist (Databricks,PySpark,SQL) - Remote
Minneapolis, MN - Remote

Job Description
Description:

Position Background and Business Impact:
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. This position will accomplish the following for the business:
  • 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.
  • Team Description: The Data Scientist - Databricks/PySpark will be working with a team of 8-10 data scientists and engineers with diverse skill sets, including:
  • Data engineering (Databricks, PySpark, SQL)
  • Machine learning (Python, R, TensorFlow, PyTorch)
  • Data analysis and visualization (Tableau, Power BI)
  • Business acumen (healthcare industry knowledge, business operations)
  • The team culture is collaborative, dynamic, and focused on delivering high-quality results.
Top 5-10 Responsibilities:
  • 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.
Ideal Candidate Background:
  • 5+ years of experience in data science or a related field.
  • Healthcare industry experience is a plus, but not required.
  • Strong background in data engineering (Databricks, PySpark, SQL).
  • Experience with machine learning (Python, R, TensorFlow, PyTorch).
  • Required Skills/Attributes:
  • 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.
  • Strong understanding of data cleansing and feature engineering techniques.
  • Experience with machine learning model development and deployment.
  • 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.

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