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Collins Consulting, Inc. · 23 hours ago

Data Scientist II - ML in R

Mettawa, IL

Full-time

Hybrid

Mid Level

$45/hr - $53/hr

Collins Consulting, Inc. is seeking a Data Scientist II who will analyze and interpret large datasets using advanced statistical and machine learning techniques. The role involves collaborating with cross-functional teams, developing predictive models, and automating analytical workflows while communicating insights to stakeholders.

ConsultingInformation TechnologyStaffing Agency

Responsibilities

Analyze and understand large amounts of data to determine suitability for use in models and then work to segment the data, create variables, build models, and test those models

Expertise in transforming business requirements into analytical models, designing algorithms, building models, developing Data Mining and Reporting Solutions that scales across massive volume of Structured and Unstructured Data

Extensive experience in creating python scripts for data integration from APIs and web scrapping to structured and unstructured databases

Expertise in cloud computing environments (e.g., AWS, Azure, GCP) for scalable data processing and deployment of models

Experience in building and optimizing deep learning models using frameworks such as TensorFlow or PyTorch

Advanced skills in SQL, databases (relational and NoSQL), and data engineering (ETL pipelines, data warehousing)

Proficiency in deploying machine learning models as APIs or services using tools like Docker, Kubernetes, or Flask

Familiarity with CI/CD pipelines and MLOps best practices for model management and reproducibility

Strong background in statistical modeling, algorithm selection, and experimental design

Experience with NLP (Natural Language Processing) techniques, text mining, and computer vision applications relevant to healthcare

Knowledge of reproducible research tools (Jupyter notebooks, Git version control)

Data security, privacy, and compliance understanding, especially relevant in healthcare and pharma

Qualification

Machine learning expertisePythonR proficiencyCloud computing expertiseSQLDatabasesData visualization toolsData security knowledgeEffective communication

Required

Ability to analyze and interpret large, complex datasets using advanced statistical and machine learning techniques

Collaborate effectively with cross-functional teams to solve business problems

Develop and deploy predictive models

Automate and scale analytical workflows

Clearly communicate insights to diverse stakeholders

Proficiency in Python or R

Expertise with data visualization tools

Familiarity with cloud and MLOps practices

Understanding of data privacy and healthcare compliance

Excellent understanding of machine learning techniques and algorithms, such as Logistic Regression, SVM, Random Forests, Deep Learning etc

Analyze and understand large amounts of data to determine suitability for use in models

Work to segment the data, create variables, build models, and test those models

Expertise in transforming business requirements into analytical models

Designing algorithms, building models, developing Data Mining and Reporting Solutions that scales across massive volume of Structured and Unstructured Data