ICONMA · 4 hours ago
Data Scientist (Azure / Databricks / Python) for RxA team
ICONMA is a company that works with a Retail Pharmacy client seeking a Data Scientist for their RxA team. The role involves applying statistical and machine learning techniques to analyze data, develop predictive models, and support product improvements alongside product engineers.
Staffing & Recruiting
Responsibilities
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
Generate and test hypotheses and analyze and interpret the results of product experiments
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation
Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support
Qualification
Required
Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics
Experience working with large datasets
Master of Science degree in computer science or in a relevant field
5-7 years of relevant experience required
Data Science & Modeling Fundamentals
Solid understanding of: Statistics and probability
Feature engineering techniques
Model evaluation metrics (e.g., AUC, precision/recall, RMSE)
Strong analytical thinking and problem-solving skills
Azure & Databricks Experience
Hands-on experience using Azure for data science workloads
Strong familiarity with Azure Databricks for: Data processing, Model development, Production pipelines
Machine Learning & Advanced Modeling
Ability to design, train, and validate machine learning models, including: Regression models (linear, regularized), Tree-based models (Random Forest, XGBoost, LightGBM), Time-series models (ARIMA, Prophet, or ML-based forecasting approaches)
Hyperparameter tuning
Cross-validation techniques
Model explainability (e.g., SHAP, feature importance)
Data Engineering & Pipeline Development
Ability to build and maintain scalable ETL/ELT pipelines in Databricks
Incremental data processing using Delta Lake
Writing strong, performant SQL for analytical queries
Data validation, reconciliation, and quality checks
Proven ability to work with large-scale datasets (millions to billions of records)
Experience implementing data quality monitoring and anomaly detection
Behavioral & Ownership Expectations
Self-directed and comfortable working in ambiguous problem spaces
Strong ownership mindset across the full lifecycle: Data ingestion → modeling → deployment → monitoring
Experience supporting and maintaining models in production environments
Willingness to improve, refactor, and modernize legacy pipelines and models
Benefits
Health Benefits
Referral Program
Company
ICONMA
ICONMA: Your Partner in Global Staffing Solutions and Digital Transformation ICONMA is a globally recognized, Woman-Owned staff augmentation and technology consulting firm.
H1B Sponsorship
ICONMA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (34)
2024 (31)
2023 (26)
2022 (39)
2021 (37)
2020 (69)
Funding
Current Stage
Late StageCompany data provided by crunchbase