Senior Data Scientist -remote
Posted on Oct 5, 2024 by tekHouse
San Diego, CA
Research
Immediate Start
Annual Salary
Contract/Project
- Remote
Title: Senior Data Scientist
Location: Remote (EST)
Type/ Duration: Contract (12 month+)
Industry: Healthcare
The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
Key Responsibilities:
Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners
Piping and processing massive data-streams in distributed computing environments (e.g Hadoop) to facilitate analysis
Recommends appropriate batch and real-time model scoring to drive actions
Provides oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions
Develop advanced visualization of analysis output for business users
Publish results and address constraints/limitations with business partners
Provides actionable insights to output produced to ensure established targets are met
Determines the continuous improvement opportunities of current predictive modeling algorithms
Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost, and other variables.
Lead and mentor Data Scientists
Qualifications:
Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field
Masters degree in related field and 3+ years experience in predictive analytics or equivalent field
Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent)
Excellent coding skills in Python, SQL, and Bigdata technologies
Experience leading end-to-end data science project implementation
Experience managing a small team either through formal or informal reporting relationship
Experience with developing recommendation engines is preferred
Experience working in a Healthcare organization or with healthcare data preferred
Location: Remote (EST)
Type/ Duration: Contract (12 month+)
Industry: Healthcare
The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
Key Responsibilities:
Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners
Piping and processing massive data-streams in distributed computing environments (e.g Hadoop) to facilitate analysis
Recommends appropriate batch and real-time model scoring to drive actions
Provides oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions
Develop advanced visualization of analysis output for business users
Publish results and address constraints/limitations with business partners
Provides actionable insights to output produced to ensure established targets are met
Determines the continuous improvement opportunities of current predictive modeling algorithms
Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost, and other variables.
Lead and mentor Data Scientists
Qualifications:
Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field
Masters degree in related field and 3+ years experience in predictive analytics or equivalent field
Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent)
Excellent coding skills in Python, SQL, and Bigdata technologies
Experience leading end-to-end data science project implementation
Experience managing a small team either through formal or informal reporting relationship
Experience with developing recommendation engines is preferred
Experience working in a Healthcare organization or with healthcare data preferred
Reference: 203337054
https://jobs.careeraddict.com/post/95820221
Senior Data Scientist -remote
Posted on Oct 5, 2024 by tekHouse
San Diego, CA
Research
Immediate Start
Annual Salary
Contract/Project
- Remote
Title: Senior Data Scientist
Location: Remote (EST)
Type/ Duration: Contract (12 month+)
Industry: Healthcare
The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
Key Responsibilities:
Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners
Piping and processing massive data-streams in distributed computing environments (e.g Hadoop) to facilitate analysis
Recommends appropriate batch and real-time model scoring to drive actions
Provides oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions
Develop advanced visualization of analysis output for business users
Publish results and address constraints/limitations with business partners
Provides actionable insights to output produced to ensure established targets are met
Determines the continuous improvement opportunities of current predictive modeling algorithms
Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost, and other variables.
Lead and mentor Data Scientists
Qualifications:
Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field
Masters degree in related field and 3+ years experience in predictive analytics or equivalent field
Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent)
Excellent coding skills in Python, SQL, and Bigdata technologies
Experience leading end-to-end data science project implementation
Experience managing a small team either through formal or informal reporting relationship
Experience with developing recommendation engines is preferred
Experience working in a Healthcare organization or with healthcare data preferred
Location: Remote (EST)
Type/ Duration: Contract (12 month+)
Industry: Healthcare
The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
Key Responsibilities:
Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners
Piping and processing massive data-streams in distributed computing environments (e.g Hadoop) to facilitate analysis
Recommends appropriate batch and real-time model scoring to drive actions
Provides oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions
Develop advanced visualization of analysis output for business users
Publish results and address constraints/limitations with business partners
Provides actionable insights to output produced to ensure established targets are met
Determines the continuous improvement opportunities of current predictive modeling algorithms
Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost, and other variables.
Lead and mentor Data Scientists
Qualifications:
Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field
Masters degree in related field and 3+ years experience in predictive analytics or equivalent field
Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent)
Excellent coding skills in Python, SQL, and Bigdata technologies
Experience leading end-to-end data science project implementation
Experience managing a small team either through formal or informal reporting relationship
Experience with developing recommendation engines is preferred
Experience working in a Healthcare organization or with healthcare data preferred
Reference: 203337054
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