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Data Scientist I

CareSource

Remote or Dayton, Ohio • Today

Full-time

USD 72,200.00 - 115,500.00 per year

Senior Data Scientist I - Meals

Instacart

Remote • Today

Full-time

USD 194,000.00 - 204,500.00 per year

Principal Data Scientist (US)

TD Bank Group

Remote or Southfield, Michigan • Today

Full-time

USD 148,720.00 - 223,080.00 per year

Data Scientist

VTG

Beavercreek, Ohio • Today

Full-time

Data Scientist

SPA

Dayton, Ohio • Today

Full-time

Data Scientist (with Data Engineering experience)

iCUBE Solutions

Remote • Yesterday

Easy Apply

Contract

$60 - $65

Data Scientist

Booz Allen Hamilton

Dayton, Ohio • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Scientist - Mid - #918

Allen Integrated Solutions

Dayton, Ohio • Today

Full-time

Data Scientist - Senior - #917

Allen Integrated Solutions

Dayton, Ohio • Today

Full-time

Data Scientist with Neural Networks AND Machine Learning

ApTask

Remote • 11d ago

Easy Apply

Contract

50 - 55

GIS Data Scientist

Radiance Technologies

Beavercreek, Ohio • Today

Full-time

Program Integrity Data Scientist III

CareSource

Remote or Dayton, Ohio • Today

Full-time

USD 94,100.00 - 164,800.00 per year

Data Scientist - Expert - #914

Allen Integrated Solutions

Dayton, Ohio • Today

Full-time

Data Scientist IV

CareSource

Remote or Dayton, Ohio • Today

Full-time

USD 113,000.00 - 197,700.00 per year

URGENT: Data Scientist with Healthcare Experience (W2 - REMOTE)

HR Giants

Remote • Today

Easy Apply

Contract

Depends on Experience

100% Remote - QA Automation OR Data Scientist with AI Exp.

SDH Systems

Remote or Arkansas • Today

Contract

Data Scientist

Radiance Technologies

Beavercreek, Ohio • Today

Full-time

Early Career Associate Data Scientist

Frontier Technology Inc

Remote or Norfolk, Virginia • Today

Full-time

Associate Data Scientist

Frontier Technology Inc

Remote or Norfolk, Virginia • Today

Full-time

Associate Data Scientist - Transitioning Navy Service Members

Frontier Technology Inc

Remote or Norfolk, Virginia • Today

Full-time

Data Scientist, 2027 Graduate U.S.

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 124,200.00 - 162,150.00 per year

Strategic Data Scientist

McKesson Corporation

Remote or Columbus, Ohio • Today

Full-time

USD 108,800.00 - 181,300.00 per year

Data Scientist

Amgen Inc

Remote or Thousand Oaks, California • 22d ago

Full-time

USD 103,852.15 - 140,505.85 per year

REMOTE Job - Data Scientist IV

SANS

Remote • 21d ago

Easy Apply

Contract

$120 - $130

Data Scientist

General Dynamics

Remote • Today

Full-time

USD 81,349.00 - 103,500.00 per year

Data Scientist

ADG Tech Consulting, LLC.

Remote • 4d ago

Easy Apply

Full-time

$100,000 - $120,000

Commercial Data Scientist

Doximity

Remote or San Francisco, California • Today

Full-time

USD 119,333.00 - 172,800.00 per year

Energy Data Scientist

EnergyHub, Inc.

Remote • Today

Full-time

USD 100,000.00 - 156,750.00 per year

Data Scientist + Graph Neural Networks & Graph ML

PeopleNTech

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior Data Scientist - Remote

Community Health Systems

Remote or Franklin, Tennessee • Today

Full-time

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 6 hours ago

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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 6 hours 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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