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Data Scientist I

CareSource

Remote or Dayton, Ohio • Today

Full-time

USD 72,200.00 - 115,500.00 per year

Data Scientist IV - HealthCare preferred

CareSource

Remote or Dayton, Ohio • Today

Full-time

USD 113,000.00 - 197,700.00 per year

Data Scientist

SPA

Dayton, Ohio • Today

Full-time

Data Scientist - Mid - #918

Allen Integrated Solutions

Dayton, Ohio • Today

Full-time

Data Scientist - Senior - #917

Allen Integrated Solutions

Dayton, Ohio • Today

Full-time

GIS Data Scientist

Radiance Technologies

Beavercreek, Ohio • Today

Full-time

Data Scientist - Expert - #914

Allen Integrated Solutions

Dayton, Ohio • Today

Full-time

Data Analyst/Scientist (ES4)

Epsilon Systems Solutions, Inc.

Wright-Patterson Air Force Base, Ohio • Today

Full-time

Senior Data Scientist

Rivago infotech inc

Remote • Today

Easy Apply

Full-time, Third Party

140000

AI Data Scientist

Everest Technologies

Remote • Today

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist

Factspan Inc

Remote • 24d ago

Easy Apply

Full-time

Depends on Experience

Sr. Data Scientist - Conversational AI - Fulltime

Acunor Infotech

Remote or New Jersey • Today

Easy Apply

Full-time

Compensation information provided in the description

Senior Data Scientist with Python and SQL

TrustMinds, Inc.

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Data Scientist with Neural Networks AND Machine Learning

ApTask

Remote • 28d ago

Easy Apply

Contract

50 - 55

Contract to Hire: Data Scientist with Azure

Everest Technologies

Remote • Today

Easy Apply

Full-time, Third Party

Depends on Experience

Senior Data Scientist / Data Engineer Generative AI Engine Optimization

Projas Technologies, LLC

Remote • Today

Easy Apply

Contract

$80 - $95

Senior Data Scientist

Astir IT Solutions

Remote • 14d ago

Easy Apply

Contract

Depends on Experience

Product Data Scientist / Data Operations Analyst - W2 80-88/hr

Projas Technologies, LLC

Remote • Today

Easy Apply

Contract

$80 - $88

Data Scientist

Kforce Technology Staffing

Remote or Miami, Florida • Today

Contract, Third Party

$60 - $72 hourly

Data Scientist

Oteemo Inc

Remote • Today

Full-time

Data Scientist

McKesson Corporation

Remote • Today

Full-time

USD 91,800.00 - 153,000.00 per year

Data Scientist

Eliassen Group

Remote • Today

Contract

Data Scientist

FlairTech Solutions

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

Data Scientist

Techgroup America Inc.

Remote • Yesterday

Easy Apply

Contract

50 - 55

Data Scientist

Empower Pharmacy

Remote • Today

Full-time

Data Scientist Lead

Ritchie Bros.

Remote or Chester, Illinois • Today

Full-time

USD 121,540.00 - 151,925.00 per year

Senior Data Scientist

Brown & Brown, Inc.

Remote • Today

Full-time

USD 75,000.00 - 110,000.00 per year

Commercial Data Scientist

Doximity

Remote or San Francisco, California • Today

Full-time

USD 119,333.00 - 172,800.00 per year

Senior Data Scientist

Booz Allen Hamilton

Remote • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Scientist- Secret

Parsons Services Company

Remote • Today

Full-time

USD 112,200.00 - 196,400.00 per year

Job Details

Skills

Business Process
Finance
Marketing
Analytical Skill
Collaboration
Research
Emerging Technologies
Data Science
Mathematics
Computer Science
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Databricks
SQL
Programming Languages
Python
R
Dashboard
Microsoft Power BI
Business Intelligence
Statistics
A/B Testing
Testing
Predictive Modelling
Machine Learning (ML)
Algorithms
Supervised Learning
Decision Trees
Clustering
Optical Character Recognition
Named-Entity Recognition (NER)
Large Language Models (LLMs)
Natural Language Processing
Extraction
Data Analysis
Optimization
Artificial Intelligence
Unstructured Data
Microsoft Excel
Microsoft PowerPoint
Critical Thinking
Presentations
Communication
Cross-functional Team
System Integration Testing
Training
Partnership
Brand

Business Process
Finance
Marketing
Analytical Skill
Collaboration
Research
Emerging Technologies
Data Science
Mathematics
Computer Science
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Databricks
SQL
Programming Languages
Python
R
Dashboard
Microsoft Power BI
Business Intelligence
Statistics
A/B Testing
Testing
Predictive Modelling
Machine Learning (ML)
Algorithms
Supervised Learning
Decision Trees
Clustering
Optical Character Recognition
Named-Entity Recognition (NER)
Large Language Models (LLMs)
Natural Language Processing
Extraction
Data Analysis
Optimization
Artificial Intelligence
Unstructured Data
Microsoft Excel
Microsoft PowerPoint
Critical Thinking
Presentations
Communication
Cross-functional Team
System Integration Testing
Training
Partnership
Brand

Summary

Job Summary:

The Data Scientist I is responsible for supporting the design and validation of predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the organization (operational, clinical, financial, marketing, etc.).

Essential Functions:

Support the creation, maintenance, and communication of an analytical plan for data science projects
Assist in mining and analyzing large structured and unstructured datasets
Employ wide range of data sources to develop algorithms for predicting risk and understanding drivers, detecting outliers, etc
Support the development of visualizations that demonstrate the efficacy of developed algorithms
Contribute to statistical validation and analysis of outcomes associated with clinical programs and interventions under guidance
Collaborate with other teams to integrate with existing solutions
Communicate results and ideas to key stakeholders
Assist in preparing code for operationalization of end-to-end model pipeline and deliverable for business consumption
Researching and staying up-to-date on emerging technologies
Perform any other job related duties as requested.

Education and Experience:

Bachelor's degree in data science, mathematics, statistics, engineering, computer science, other related field required
Equivalent years of relevant work experience may be accepted in lieu of required education
Experience with cloud services (such as Azure, AWS or Google Cloud Platform) and modern data stack (such as Databricks or Snowflakes) preferred

Competencies, Knowledge and Skills:

Familiarity with SQL and at least one of the following programming languages: Python or R
Preferred beginner level of knowledge of developing reports or dashboards in Power BI or other business intelligence applications
Ability to understand basic statistical analyses and techniques including A/B testing, general significance testing, and sampling methodologies
Working knowledge of predictive modeling and machine learning algorithms such as generalized linear models, non-linear supervised learning models, clustering, decision trees, and dimensionality reduction
Working knowledge of unsupervised and deep leaning methodologies such as clustering, neural networks, and transformers
Working knowledge of natural language processing technologies such as optical character recognition, named entity recognition, visual learning models, and large language models
Working knowledge in NLP-specific feature extraction techniques such as tokenization, embeddings, and text-based transformations
Familiarity in feature engineering techniques and exploratory data analysis
Familiarity with optimization techniques and artificial intelligence methods
Ability to mine and analyze large quantities of structured and unstructured data and identify patterns, irregularities, and deficiencies
Proficient with MS office (Excel, PowerPoint, Word, Access)
Demonstrated critical thinking, verbal communication, presentation and written communication skills
Ability to work independently and within a cross-functional team environment

Licensure and Certification:

None required

Working Conditions:

General office environment; may be required to sit or stand for extended periods of time
Travel is not typically required

Compensation Range:
$72,200.00 - $115,500.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.

Compensation Type (hourly/salary):
Salary

Organization Level Competencies

Fostering a Collaborative Workplace Culture
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
#LI-GB1

Brand=CareSource

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: RTX11f1ed
Position Id: c2abbe3ef92814daadf7d55b870e546e
Posted 30+ days ago

Fitment

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Job Details

Skills

Business Process
Finance
Marketing
Analytical Skill
Collaboration
Research
Emerging Technologies
Data Science
Mathematics
Computer Science
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Databricks
SQL
Programming Languages
Python
R
Dashboard
Microsoft Power BI
Business Intelligence
Statistics
A/B Testing
Testing
Predictive Modelling
Machine Learning (ML)
Algorithms
Supervised Learning
Decision Trees
Clustering
Optical Character Recognition
Named-Entity Recognition (NER)
Large Language Models (LLMs)
Natural Language Processing
Extraction
Data Analysis
Optimization
Artificial Intelligence
Unstructured Data
Microsoft Excel
Microsoft PowerPoint
Critical Thinking
Presentations
Communication
Cross-functional Team
System Integration Testing
Training
Partnership
Brand

Business Process
Finance
Marketing
Analytical Skill
Collaboration
Research
Emerging Technologies
Data Science
Mathematics
Computer Science
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Databricks
SQL
Programming Languages
Python
R
Dashboard
Microsoft Power BI
Business Intelligence
Statistics
A/B Testing
Testing
Predictive Modelling
Machine Learning (ML)
Algorithms
Supervised Learning
Decision Trees
Clustering
Optical Character Recognition
Named-Entity Recognition (NER)
Large Language Models (LLMs)
Natural Language Processing
Extraction
Data Analysis
Optimization
Artificial Intelligence
Unstructured Data
Microsoft Excel
Microsoft PowerPoint
Critical Thinking
Presentations
Communication
Cross-functional Team
System Integration Testing
Training
Partnership
Brand

Summary

Support the creation, maintenance, and communication of an analytical plan for data science projects
Assist in mining and analyzing large structured and unstructured datasets
Employ wide range of data sources to develop algorithms for predicting risk and understanding drivers, detecting outliers, etc
Support the development of visualizations that demonstrate the efficacy of developed algorithms
Contribute to statistical validation and analysis of outcomes associated with clinical programs and interventions under guidance
Collaborate with other teams to integrate with existing solutions
Communicate results and ideas to key stakeholders
Assist in preparing code for operationalization of end-to-end model pipeline and deliverable for business consumption
Researching and staying up-to-date on emerging technologies
Perform any other job related duties as requested.

Education and Experience:

Bachelor's degree in data science, mathematics, statistics, engineering, computer science, other related field required
Equivalent years of relevant work experience may be accepted in lieu of required education
Experience with cloud services (such as Azure, AWS or Google Cloud Platform) and modern data stack (such as Databricks or Snowflakes) preferred

Competencies, Knowledge and Skills:

Familiarity with SQL and at least one of the following programming languages: Python or R
Preferred beginner level of knowledge of developing reports or dashboards in Power BI or other business intelligence applications
Ability to understand basic statistical analyses and techniques including A/B testing, general significance testing, and sampling methodologies
Working knowledge of predictive modeling and machine learning algorithms such as generalized linear models, non-linear supervised learning models, clustering, decision trees, and dimensionality reduction
Working knowledge of unsupervised and deep leaning methodologies such as clustering, neural networks, and transformers
Working knowledge of natural language processing technologies such as optical character recognition, named entity recognition, visual learning models, and large language models
Working knowledge in NLP-specific feature extraction techniques such as tokenization, embeddings, and text-based transformations
Familiarity in feature engineering techniques and exploratory data analysis
Familiarity with optimization techniques and artificial intelligence methods
Ability to mine and analyze large quantities of structured and unstructured data and identify patterns, irregularities, and deficiencies
Proficient with MS office (Excel, PowerPoint, Word, Access)
Demonstrated critical thinking, verbal communication, presentation and written communication skills
Ability to work independently and within a cross-functional team environment

Licensure and Certification:

None required

Working Conditions:

General office environment; may be required to sit or stand for extended periods of time
Travel is not typically required

Fostering a Collaborative Workplace Culture
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business

Dice Id: RTX11f1ed
Position Id: c2abbe3ef92814daadf7d55b870e546e
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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

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