Data Scientist

Data Scientist - Databricks/PySparkSpecific Title of the Position: Data Scientist - Databricks/PySparkWork Location: Remote/TelecommuteWork Hours: Estimated 8 hours/day, with flexible hours to accommodate remote work arrangements (e.g., 9am-5pm EST, but not strictly enforced).Position Background and Business ImpactThe 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 DescriptionThe 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 ResponsibilitiesDevelop 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 Background5+ 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.Required Skills: Data AnalysisBasic Qualification:Additional Skills:This is a high PRIORITY requisition.