TekWissen ® · 15 hours ago
Data Scientist II
North Chicago, IL
Contract
Hybrid
Mid Level
$50/hr - $59/hrTekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. The Data Scientist II role involves analyzing and interpreting large datasets, developing predictive models, and collaborating with teams to solve business problems while ensuring compliance with data privacy in healthcare.
Information Technology
Hiring Manager
Venkat J Swaroop
Responsibilities
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
Analyze and understand large amounts of data to determine suitability for use in models
Segment the data, create variables, build models, and test those models
Transform business requirements into analytical models
Design algorithms and build models
Develop Data Mining and Reporting Solutions that scale across massive volume of Structured and Unstructured Data
Create python scripts for data integration from APIs and web scrapping to structured and unstructured databases
Build and optimize deep learning models using frameworks such as TensorFlow or PyTorch
Deploy 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
Understanding of data security, privacy, and compliance, especially relevant in healthcare and pharma
Qualification
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
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
Advanced statistical analysis and machine learning expertise
Proficiency in programming languages such as Python or R
Experience working with large datasets and data wrangling/cleaning
Effective communication skills for translating complex analyses to stakeholders
Familiarity with data visualization tools (e.g., Tableau, Plotly, Dash)
Company
TekWissen ®
Welcome TekWissen, your premier partner in technology consulting, workforce solutions, payroll services, procurement, managed services, global capability centers, and venture capital support, specifically tailored for startups in the human capital sector.
Founded in 2009
1001-5000 employees
H1B Sponsorship
TekWissen ® 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 (5)
2024 (18)
2023 (11)
2022 (9)
2021 (16)
2020 (17)
Funding
Current Stage
Late StageLeadership Team
Rajanish Pandey
Client Partnership Manager
Company data provided by crunchbase