Sr. Data Scientist
NexwaveAbout the role
Role - Sr. Data Scientist
Location: Minnetonka, MN – (Onsite/Hybrid)
Experience : 10+
Must be local to the Minnetonka, MN area and available for onsite work.
Healthcare Domain background Experience Must
Rate: $70/hr. on C2C/1099 (OR) $60/hr. on W2 (Max Rates)
Requirements:
5+ years of professional Data Science/ML experience.
Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related field.
Strong Python/R/SAS and SQL skills.
Experience with machine learning, anomaly detection, pattern recognition, predictive modeling, clustering, and time-series analysis.
Healthcare experience with claims, clinical, member, provider, or operational data preferred.
Experience with Azure, Snowflake, MLOps, CI/CD, and production ML pipelines preferred.
Excellent communication and stakeholder management skills.
Preferred Qualifications:
Master’s degree in a quantitative, computational, or engineering discipline.
Experience working with healthcare data, including claims, clinical, member, provider, financial, or operational datasets.
Hands-on experience developing anomaly detection or pattern recognition systems using supervised, semi-supervised, or unsupervised learning techniques.
Experience with advanced modeling approaches such as ensemble methods, deep learning, graph analytics, natural language processing, embeddings, or large language models.
Experience with CI/CD platforms and automated deployment workflows for analytical or machine learning applications.
Familiarity with MLOps practices including model registries, experiment tracking, automated testing, model versioning, deployment strategies, monitoring, observability, and model lifecycle management.
Experience with workflow and pipeline orchestration technologies used to automate data processing, model training, scoring, and deployment.
Experience integrating machine learning or analytical services with other technology systems through APIs, services, event-driven processes, databases, or enterprise applications.
Experience working in cloud-based analytics environments, particularly Azure and Snowflake.
Familiarity with containerization, infrastructure automation, or modern software engineering practices used to deploy and operate analytical workloads.
Experience troubleshooting complex analytical systems across data, model, pipeline, infrastructure, and application layers.
Ability to balance statistical rigor, technical scalability, explainability, maintainability, and business usability when designing analytical solutions.
Regards,
Stephen
Lead Talent Acquisition Specialist
Email : stephen@nexwaveinc.com
Responsibilities
- Develop machine learning models for anomaly detection and predictive modeling
- Analyze healthcare data including claims and clinical data
- Collaborate with stakeholders to understand data needs and deliver insights
- Implement CI/CD practices for machine learning pipelines
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related field
- 5+ years of professional Data Science/ML experience
- Strong skills in Python/R/SAS and SQL
- Experience with Azure, Snowflake, and MLOps
Skills mentioned
About Nexwave
We are an Info Tech - Solutions and Talent Management organization, curating a growth induced ecosystem for our clients across industries to help achieve mutual goals with our robust solutions. With presence in India, USA, UK and Europe, we work towards providing synergy driven client experiences through process of implementing IT solutions in their business functions. Nexwave is also a key contributor in managing IT talent for clients through various outsourcing models that can be tailored to business requirements.