Healthcare Data Scientist
Job Title: Sr. Data Scientist (Healthcare Domain)
Location: Remote/Minnetonka, MN
Duration: Long Term (W2 only)
Client: Direct
Primary Responsibilities:
Research, design, implement, and deploy full-stack scalable machine learning solutions to support intelligent operations initiatives.
Conduct hands-on data analysis and predictive analytics on large datasets.
Effectively communicate complex technical results to business partners.
Support and drive analytic efforts around machine learning and innovation.
Work autonomously to find solutions to complex problems.
Design and implement deep learning models for natural language processing.
Collaborate with data engineers to design and implement data pipelines.
Work with software engineers to integrate models into production systems.
You'll be rewarded and recognized for your performance in an environment that will challenge you and provide clear direction on what it takes to succeed in your role, as well as offer development opportunities for other roles you may be interested in.
Job Qualifications:
BA/BS in Applied Mathematics, Physics, Computer Science, Statistics, or a related technical field, or equivalent experience.
5+ years of hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.
3+ years of experience using advanced data science tools such as R, Python, SQL, Spark, and H2O.
3+ years of experience developing and deploying analytic solutions using AWS/Azure/GCP.
Experience applying computational algorithms and statistical methods to structured and unstructured data.
Experience building end-to-end solutions using deep learning models.
Proven ability to break down and clearly define problems.
Strong communication skills to convey highly technical results to a diverse audience.
Experience with full-stack development is a plus.
Experience with agile development methodologies is a plus.
Familiarity with Level 1 or Level 2 support processes.
Apply Now
Location: Remote/Minnetonka, MN
Duration: Long Term (W2 only)
Client: Direct
Primary Responsibilities:
Research, design, implement, and deploy full-stack scalable machine learning solutions to support intelligent operations initiatives.
Conduct hands-on data analysis and predictive analytics on large datasets.
Effectively communicate complex technical results to business partners.
Support and drive analytic efforts around machine learning and innovation.
Work autonomously to find solutions to complex problems.
Design and implement deep learning models for natural language processing.
Collaborate with data engineers to design and implement data pipelines.
Work with software engineers to integrate models into production systems.
You'll be rewarded and recognized for your performance in an environment that will challenge you and provide clear direction on what it takes to succeed in your role, as well as offer development opportunities for other roles you may be interested in.
Job Qualifications:
BA/BS in Applied Mathematics, Physics, Computer Science, Statistics, or a related technical field, or equivalent experience.
5+ years of hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.
3+ years of experience using advanced data science tools such as R, Python, SQL, Spark, and H2O.
3+ years of experience developing and deploying analytic solutions using AWS/Azure/GCP.
Experience applying computational algorithms and statistical methods to structured and unstructured data.
Experience building end-to-end solutions using deep learning models.
Proven ability to break down and clearly define problems.
Strong communication skills to convey highly technical results to a diverse audience.
Experience with full-stack development is a plus.
Experience with agile development methodologies is a plus.
Familiarity with Level 1 or Level 2 support processes.
Apply Now