Data Scientist
Job Location:
Indianapolis, IN - USA
Monthly Salary:
Experience Required:
Posted:
Application Deadline:
Vacancies:
Job Summary
- Develop statistical models machine learning models and advanced analyses using large-scale datasets in Databricks
- Access prepare and engineer features from data processed through Apache Spark and AWS data services
- Partner with business groups to understand pharma-specific problems and translate them into data science approaches
- Build and validate ETL/data pipelines as needed to support modeling and experimentation workflows
- Communicate modeling results insights and recommendations clearly to both technical and non-technical business stakeholders
- Apply pharma domain knowledge to ensure models and analyses are relevant and interpretable in a business context
- Collaborate with data engineers and analysts to productionize models and integrate outputs into reporting/decision workflows
- Monitor model performance over time and iterate as needed
- 35 years of data science / applied statistics / machine learning experience specifically within the pharma industry
- Hands-on experience with Databricks for data science/ML workflows
- Working knowledge of AWS data services
- Strong experience with Big Data processing using Apache Spark PySpark.
- Experience building ETL pipelines to support data science workflows
- Strong Python and SQL skills; experience with ML libraries
- Demonstrated ability to understand pharma business needs and speak to pharma business groups
- Strong communication skills with demonstrated ability to present technical findings to business stakeholders
- Bachelors or masters degree in data science Statistics Computer Science or a related quantitative field
- Experience with Delta Lake Snowflake or similar modern data platforms
- Familiarity with MLOps practices and model deployment/monitoring
- Prior experience supporting pharma commercial clinical or R&D data science functions
Required Skills:
Required Qualifications 35 years of data science / applied statistics / machine learning experience specifically within the pharma industry Hands-on experience with Databricks for data science/ML workflows Working knowledge of AWS data services Strong experience with Big Data processing using Apache Spark PySpark. Experience building ETL pipelines to support data science workflows Strong Python and SQL skills; experience with ML libraries Demonstrated ability to understand pharma business needs and speak to pharma business groups Strong communication skills with demonstrated ability to present technical findings to business stakeholders Bachelors or masters degree in data science Statistics Computer Science or a related quantitative field Preferred Qualifications Experience with Delta Lake Snowflake or similar modern data platforms Familiarity with MLOps practices and model deployment/monitoring Prior experience supporting pharma commercial clinical or R&D data science functions
