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Job Description

An employer is seeking a Data Scientist to work in an enterprise level environment in the healthcare industry. You 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.

You 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: You 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.

-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.

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 [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

5+ years of experience in data science

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. Healthcare industry experience

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.