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Sr.Data Scientist/Machine Learning Engineer

SmartIMS Inc.

Minnetonka, Minnesota • Yesterday

Easy Apply

Contract

Depends on Experience

Senior Data Scientist - Machine Learning

General Dynamics

Remote • Today

Full-time

USD 123,250.00 - 166,750.00 per year

Senior Machine Learning Engineer

Shipt

Remote or Birmingham, Alabama • Today

Full-time

Senior Machine Learning Engineer

Censys

Remote • Today

Full-time

USD 174,000.00 per year

Senior Machine Learning Engineer

OneStudyTeam

Remote • Today

Full-time

USD 140,000.00 - 190,000.00 per year

Senior Machine Learning Engineer

Amgen Inc

Remote • Today

Full-time

USD 156,190.05 - 211,315.95 per year

Senior Machine Learning Engineer

Odyssey Systems Consulting Group, Ltd.

Remote • Today

Full-time

USD 165,000.00 - 195,000.00 per year

Sr. Machine Learning Engineer

AppFolio, Inc.

Remote or Santa Barbara, California • Today

Full-time

USD 167,200.00 - 209,000.00 per year

Senior Machine Learning Engineer

Grid Dynamics Holdings, Inc

Remote • Today

Full-time

Senior Machine Learning Engineer

Cresta

Remote • Today

Full-time

USD 205,000.00 - 270,000.00 per year

Senior Machine Learning Engineer

The Voleon Group

Remote or Berkeley, California • Today

Full-time

USD 290,000.00 - 395,000.00 per year

Senior Machine Learning Engineer

SeatGeek

Remote • Today

Full-time

USD 145,000.00 - 209,000.00 per year

Sr. Machine Learning Engineer, Applied Science

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 161,263.00 - 332,012.00 per year

Job Details

Skills

Oython
SQL
Snowflake
CI/CD
Azure

Summary

Title: Sr.Data Scientist / Machine Learning Engineer

Location: Minnetonka, MN

Duration: Long Term CTH

Rate: on W2

Description:

Design, develop, and maintain anomaly detection and pattern recognition systems across large-scale healthcare and operational datasets, using techniques such as clustering, classification, time-series analysis, change-point detection, and graph-based analytics.
Develop reusable feature engineering, scoring, and analytical components that support multiple enterprise use cases rather than isolated point solutions.
Apply natural language processing, large language models, and other machine-learning techniques to unstructured and semi-structured data to surface patterns, themes, and emerging signals.
Design and contribute to production-grade machine learning pipelines, including automated data preparation, feature generation, training, validation, deployment, scoring, and monitoring.
Develop and maintain CI/CD workflows for data science solutions, including source control, automated testing, model versioning, and rollback capabilities.
Establish monitoring for production analytical systems — model performance, data quality, feature drift, model drift, and pipeline health.
Partner with engineering and technology teams to integrate models and services with enterprise applications, APIs, and downstream business processes.
Communicate analytical findings, model behavior, and limitations clearly to both technical and non-technical stakeholders.

Required Qualifications

10 plus years experience
Strong professional experience in Data Science, Machine Learning, advanced analytics, statistical modeling, or a related discipline.
Strong hands-on programming capability in Python.
Strong SQL skills and experience working with large relational or analytical datasets.
Strong foundation in statistics, machine learning, model evaluation, and experimental design.
Experience developing real-world models using techniques such as classification, clustering, anomaly detection, predictive modeling, time-series analysis, or related approaches.
Experience with data preparation, feature engineering, target construction, validation, and model performance evaluation.
Experience developing reusable and maintainable analytical code rather than exclusively notebook-based or ad hoc analysis.
Experience helping move machine-learning or advanced-analytics solutions into production.
Understanding of model scoring, deployment, monitoring, data quality, model drift, and production lifecycle considerations.
Ability to work effectively when requirements, data, or solution approaches are incomplete or evolving.
Ability to communicate analytical methodology, findings, limitations, and business implications clearly.

Preferred Qualifications

Healthcare, payer, claims, payment-integrity, provider, member, clinical, financial, or other regulated-data experience.
Hands-on experience developing anomaly-detection or emerging-pattern systems.
Experience with supervised, semi-supervised, and unsupervised machine-learning techniques.
Experience with advanced modeling approaches such as gradient boosting, ensemble methods, deep learning, graph-based methods, sequence models, or representation learning.
Experience with model explainability, calibration, threshold optimization, and false-positive reduction.
Experience with Snowflake and Azure.
Experience working within containerized Data Science environments.
Familiarity with production ML and MLOps practices such as model registries, versioning, CI/CD, experiment tracking, monitoring, and lifecycle management.
Experience integrating analytical models into APIs, applications, decision systems, or enterprise workflows.
Experience working across Data Engineering, Software Engineering, MLOps, Platform, and Cloud teams.
Experience applying NLP, embeddings, or GenAI where unstructured information must be converted into structured data or incorporated into a broader analytical solution.
Experience mentoring other Data Scientists, helping establish modeling standards, or guiding analytical design decisions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: SMARNJ
Position Id: csdsmle
Posted 1 day ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Adithya Sastrulavari

Recruiter @ SmartIMS Inc.

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Data Scientist

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Hybrid onsite Tuesday Wednesday and Thursday Data Scientist / Machine Learning Engineer Position Overview As a Data Scientist / Machine Learning Engineer on our AI Builder program, you will design, develop, and operationalize advanced analytics and machine learning solutions focused on anomaly detection, pattern recognition, predictive modeling, and intelligent monitoring across large, complex healthcare and operational datasets. You?ll identify meaningful patterns, emerging signals, and behavi

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Required Data Scientist - Minnetonka, Minnesota - Hybrid Bachelors degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field. 10+ years of professional experience beyond degree in data science, machine learning, advanced analytics, statistical modeling, or a related technical discipline. Experience developing machine learning or statistical solutions for complex, real-world business problems. Experience with

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Sr. Data Scientist

Minneapolis, Minnesota

•

23d ago

About the RoleWe are seeking an experienced Senior Data Scientist to join a collaborative, fast-paced data science team focused on delivering measurable business value through machine learning. This is a hands-on technical role for someone who enjoys solving complex business problems, mentoring teammates, and driving continuous improvement across an established portfolio of production models. Unlike organizations focused primarily on research or greenfield development, our team spends the majori

Easy Apply

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70 - 90

Sr Data Scientist - Remote

Remote or Minnetonka, Minnesota

•

Today

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together We are seeking a highly analytical and innovative Senior Data Scientist to join a strategic enterprise

Full-time

USD 91,700.00 - 163,700.00 per year

Job Details

Skills

Oython
SQL
Snowflake
CI/CD
Azure

Summary

Title: Sr.Data Scientist / Machine Learning Engineer

Location: Minnetonka, MN

Duration: Long Term CTH

Rate: on W2

Description:

Design, develop, and maintain anomaly detection and pattern recognition systems across large-scale healthcare and operational datasets, using techniques such as clustering, classification, time-series analysis, change-point detection, and graph-based analytics.
Develop reusable feature engineering, scoring, and analytical components that support multiple enterprise use cases rather than isolated point solutions.
Apply natural language processing, large language models, and other machine-learning techniques to unstructured and semi-structured data to surface patterns, themes, and emerging signals.
Design and contribute to production-grade machine learning pipelines, including automated data preparation, feature generation, training, validation, deployment, scoring, and monitoring.
Develop and maintain CI/CD workflows for data science solutions, including source control, automated testing, model versioning, and rollback capabilities.
Establish monitoring for production analytical systems — model performance, data quality, feature drift, model drift, and pipeline health.
Partner with engineering and technology teams to integrate models and services with enterprise applications, APIs, and downstream business processes.
Communicate analytical findings, model behavior, and limitations clearly to both technical and non-technical stakeholders.

Required Qualifications

10 plus years experience
Strong professional experience in Data Science, Machine Learning, advanced analytics, statistical modeling, or a related discipline.
Strong hands-on programming capability in Python.
Strong SQL skills and experience working with large relational or analytical datasets.
Strong foundation in statistics, machine learning, model evaluation, and experimental design.
Experience developing real-world models using techniques such as classification, clustering, anomaly detection, predictive modeling, time-series analysis, or related approaches.
Experience with data preparation, feature engineering, target construction, validation, and model performance evaluation.
Experience developing reusable and maintainable analytical code rather than exclusively notebook-based or ad hoc analysis.
Experience helping move machine-learning or advanced-analytics solutions into production.
Understanding of model scoring, deployment, monitoring, data quality, model drift, and production lifecycle considerations.
Ability to work effectively when requirements, data, or solution approaches are incomplete or evolving.
Ability to communicate analytical methodology, findings, limitations, and business implications clearly.

Preferred Qualifications

Healthcare, payer, claims, payment-integrity, provider, member, clinical, financial, or other regulated-data experience.
Hands-on experience developing anomaly-detection or emerging-pattern systems.
Experience with supervised, semi-supervised, and unsupervised machine-learning techniques.
Experience with advanced modeling approaches such as gradient boosting, ensemble methods, deep learning, graph-based methods, sequence models, or representation learning.
Experience with model explainability, calibration, threshold optimization, and false-positive reduction.
Experience with Snowflake and Azure.
Experience working within containerized Data Science environments.
Familiarity with production ML and MLOps practices such as model registries, versioning, CI/CD, experiment tracking, monitoring, and lifecycle management.
Experience integrating analytical models into APIs, applications, decision systems, or enterprise workflows.
Experience working across Data Engineering, Software Engineering, MLOps, Platform, and Cloud teams.
Experience applying NLP, embeddings, or GenAI where unstructured information must be converted into structured data or incorporated into a broader analytical solution.
Experience mentoring other Data Scientists, helping establish modeling standards, or guiding analytical design decisions.

Dice Id: SMARNJ
Position Id: csdsmle
Posted 1 day ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Adithya Sastrulavari

Recruiter @ SmartIMS Inc.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Data Scientist

Minnetonka, Minnesota

•

Today

Easy Apply

Contract

$70-$80

Required Sr Data Scientist - Weekly 3 days from Office - Hybrid

Hybrid in Minnetonka, Minnesota

•

4d ago

Easy Apply

Contract

Sr. Data Scientist

Minneapolis, Minnesota

•

23d ago

Easy Apply

Contract

70 - 90

Sr Data Scientist - Remote

Remote or Minnetonka, Minnesota

•

Today

Full-time

USD 91,700.00 - 163,700.00 per year