Data Scientist
UsefulBI CorporationAbout the role
Job Details
Location: Remote (US-Based)
Job Type: Full-time | Permanent
About the Role
We are seeking an analytical and impact-driven Data Scientist for a permanent, 100% remote position to lead the development, evaluation, and operationalization of machine learning models and data products. Operating within a high-performance environment, you will translate complex business data into scalable analytical solutions, focusing heavily on pharma and commercial business domains.
The ideal candidate brings deep expertise in advanced feature engineering architectures, strong validation mechanics, and a clear understanding of algorithmic bias assessment using modern cloud tools.
Key Responsibilities
Predictive Modeling: Build, optimize, and scale advanced regression and classification architectures using machine learning algorithms.
Feature Engineering: Design and implement complex, high-impact feature pipelines at the HCP (Healthcare Professional), product, and market levels.
Collaborative ML Architecture: Develop centralized, highly collaborative analytical products leveraging SageMaker Unified Studio.
Experiment Management: Standardize end-to-end model tracking, lineage, and lifecycle operations utilizing MLflow.
Algorithmic Governance: Perform rigorous statistical validation and drive fair, ethical modeling decisions via SageMaker Clarify bias assessments.
Data Extraction: Write complex, optimized queries to model and manipulate large-scale datasets directly in Snowflake SQL.
Skills & Qualifications
Programming Languages: Advanced proficiency in Python for data science pipelines.
Libraries & Frameworks: Hands-on mastery of pandas, scikit-learn, XGBoost, LightGBM, and model interpretability with SHAP.
Statistical Competence: Solid foundation in statistical modeling, hypothesis testing, and exploratory data analysis.
Cloud Infrastructure: Direct experience with the AWS ecosystem, specifically Amazon SageMaker.
Data Warehousing: Strong hands-on querying experience within Snowflake.
Domain Experience: Prior background working within pharma, life sciences, or commercial healthcare data frameworks is highly preferred.
Responsibilities
- Build, optimize, and scale advanced regression and classification architectures using machine learning algorithms.
- Design and implement complex, high-impact feature pipelines at the HCP, product, and market levels.
- Develop centralized, highly collaborative analytical products leveraging SageMaker Unified Studio.
- Standardize end-to-end model tracking, lineage, and lifecycle operations utilizing MLflow.
- Perform rigorous statistical validation and drive fair, ethical modeling decisions via SageMaker Clarify bias assessments.
- Write complex, optimized queries to model and manipulate large-scale datasets directly in Snowflake SQL.
Qualifications
- Advanced proficiency in Python for data science pipelines.
- Hands-on mastery of pandas, scikit-learn, XGBoost, LightGBM, and model interpretability with SHAP.
- Solid foundation in statistical modeling, hypothesis testing, and exploratory data analysis.
- Direct experience with the AWS ecosystem, specifically Amazon SageMaker.
- Strong hands-on querying experience within Snowflake.
- Prior background working within pharma, life sciences, or commercial healthcare data frameworks is highly preferred.
Skills mentioned
About UsefulBI Corporation
At UsefulBI, we provide a comprehensive solution across Data Engineering, Data Science, AI/ML and Business Intelligence. Our mission is to empower astute business decisions through the integration of data insights and cutting-edge AI. Our relentless pursuit of excellence drives mastery across cutting-edge tools and technologies, ranging from data engineering and cloud strategies to Business Intelligence and pioneering Generative AI. As a full solutions provider, we transcend conventional limits by seamlessly blending robust data architecture with advanced solutions and harnessing the transformative power of Generative AI. This synergy enables us to deliver outcomes that surpass the mere sum of our individual capabilities. Guided by this ethos, UsefulBI propels progress in an ever-evolving landscape, leveraging technology, talent, and robust partnerships. Our mission is clear: empower business transformation and ensure clients exceed sustainable goals well ahead of schedule.
H-1B sponsorship history
Historical employer filing data was found for UsefulBI Corporation. The employer record includes 10 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.