ICONMA · 2 days ago
Data Scientist 3
Deerfield, IL
Full-time
Onsite
Senior Level
$47.01/hr - $50.14/hr
5+ years expICONMA is a Retail Pharmacy company seeking a Data Scientist 3 for their Deerfield, IL location. The role involves producing innovative solutions through exploratory data analysis, applying statistics and machine learning to solve complex business problems, and collaborating with various stakeholders to translate business needs into data science solutions.
Staffing & Recruiting
Responsibilities
The main function of the data scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
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
Data Science & Modeling
Apply statistical and machine learning techniques to solve complex business problems
Perform feature engineering and select appropriate modeling approaches based on data and business context
Develop, train, validate, and evaluate machine learning models using appropriate metrics (e.g., AUC, precision/recall, RMSE)
Build and maintain time-series forecasting models using approaches such as ARIMA, Prophet, or ML-based methods
Perform hyperparameter tuning, cross-validation, and model performance optimization
Provide model interpretability using techniques such as SHAP and feature importance
Azure & Databricks Development
Develop data science solutions using Azure Databricks as the primary analytics platform
Leverage Spark (DataFrames and Spark SQL) to process large-scale datasets efficiently
Implement scalable workflows and jobs in Databricks to support batch modeling and inference
Data Engineering & Pipelines
Design, build, and maintain robust ETL/ELT pipelines in Databricks
Write performant SQL for analytical queries, data validation, and reconciliation
Perform data quality checks, anomaly detection, and validation on large datasets
Handle and optimize datasets ranging from millions to billions of records
Production & Operational Excellence
Support machine learning models in production environments, including monitoring and troubleshooting
Collaborate with engineering and platform teams to deploy and operationalize models
Refactor and modernize legacy pipelines and models to improve performance, scalability, and maintainability
Document models, pipelines, assumptions, and known limitations
Collaboration & Ownership
Partner with business stakeholders, product managers, and engineers to translate business needs into data science solutions
Clearly communicate findings, model behavior, and trade-offs to both technical and non-technical audiences
Demonstrate strong ownership across the full lifecycle: data ingestion → modeling → deployment → monitoring
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
Solid understanding of statistics and probability
Solid understanding of feature engineering techniques
Solid understanding of model evaluation metrics (e.g., AUC, precision/recall, RMSE)
Strong analytical thinking and problem-solving skills
Hands-on experience using Azure for data science workloads
Strong familiarity with Azure Databricks for data processing, model development, and production pipelines
Ability to design, train, and validate machine learning models, including regression models (linear, regularized), tree-based models (Random Forest, XGBoost, LightGBM), and time-series models (ARIMA, Prophet, or ML-based forecasting approaches)
Experience with hyperparameter tuning
Experience with cross-validation techniques
Experience with model explainability (e.g., SHAP, feature importance)
Ability to build and maintain scalable ETL/ELT pipelines in Databricks
Experience with incremental data processing using Delta Lake
Experience writing strong, performant SQL for analytical queries
Experience with 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
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
Strong proficiency in Python for data analysis, modeling, and production code
Strong SQL skills for analytics and data validation
Experience working with large-scale datasets in distributed environments
Experience with performance tuning
Familiarity with MLOps practices (model versioning, retraining strategies, monitoring)
Experience working in regulated or enterprise environments
Domain experience in retail, supply chain, or related industries
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.
1001-5000 employees
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 StageLeadership Team
Claudine George
Founder and CEO of ICONMA, LLC
Company data provided by crunchbase