Spartan Technologies
Senior Data Scientist - AI/ML Solutions
Spartan Technologies, Stamford, Connecticut, United States, 06925
Spartan Technologies, Inc. - Stamford, CT
We seek a Senior Data Scientist - AI/ML Solutions for our client's direct hire position. This role is a hybrid remote position, requiring 2 days a week at our client's offices.
This position is open to US Citizens, Green Card holders, or qualified persons requiring sponsorship.
Office locations : NYC, NY | Holmdel, NJ | Stamford, CT | Bethlehem, PA | Boston, MA
Your Job
As a Senior Data Scientist - AI/ML Solutions, you will join our client's team of Data Scientists to develop advanced data science solutions using machine learning and artificial intelligence. Your role will involve leading use case/workstream with junior data scientists and supporting use case development from initial data exploration to the creation of final reports. You will utilize advanced statistical and AI/ML techniques to create predictive models and analyses that address business objectives. Additionally, you will collaborate with cross-functional teams, perform data wrangling and ETL, and ensure data accuracy and consistent reporting. This is an exciting opportunity to apply cutting-edge technology and contribute to our client's ongoing evolution as a forward-thinking insurance company.
The Work
Lead use case/workstream with junior data scientists
Support use case development including data exploration, project/sample design, data reception and processing, analysis and modeling, and creation of final report/presentation
Perform data wrangling/data matching/ETL to explore various data sources, gain data expertise, perform summary analyses, and prepare modeling datasets
Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
Identify source data and perform data quality checks both in model/solution development and in production
Package model/solution and deploy it in cooperation with Data Engineers and MLOps
Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
Qualifications
Meets one of the following Education AND Experience combinations:
Combination 1 - PhD with 2+ years of experience
Combination 2 - Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
3+ years of hands-on ML modeling/development experience
Solid understanding of data analysis and statistical modeling
Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
Demonstrated track record in experimental design and execution
Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing, and applying parallelism to ML solutions
Strong programming skills in Python
Solid background in algorithms and a range of ML models
Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
Excellent analytical and problem-solving abilities with superb attention to detail
Proven leadership in providing technical leadership and mentoring to data scientists, strong management skills with the ability to monitor/track performance for enterprise success
Nice to Have
Experience with deep learning and neural networks
Familiarity with big data technologies such as Hadoop and Spark
Knowledge of natural language processing (NLP) techniques
Understanding of cloud computing platforms such as AWS or Azure
Previous experience in the insurance or financial industry
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We seek a Senior Data Scientist - AI/ML Solutions for our client's direct hire position. This role is a hybrid remote position, requiring 2 days a week at our client's offices.
This position is open to US Citizens, Green Card holders, or qualified persons requiring sponsorship.
Office locations : NYC, NY | Holmdel, NJ | Stamford, CT | Bethlehem, PA | Boston, MA
Your Job
As a Senior Data Scientist - AI/ML Solutions, you will join our client's team of Data Scientists to develop advanced data science solutions using machine learning and artificial intelligence. Your role will involve leading use case/workstream with junior data scientists and supporting use case development from initial data exploration to the creation of final reports. You will utilize advanced statistical and AI/ML techniques to create predictive models and analyses that address business objectives. Additionally, you will collaborate with cross-functional teams, perform data wrangling and ETL, and ensure data accuracy and consistent reporting. This is an exciting opportunity to apply cutting-edge technology and contribute to our client's ongoing evolution as a forward-thinking insurance company.
The Work
Lead use case/workstream with junior data scientists
Support use case development including data exploration, project/sample design, data reception and processing, analysis and modeling, and creation of final report/presentation
Perform data wrangling/data matching/ETL to explore various data sources, gain data expertise, perform summary analyses, and prepare modeling datasets
Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
Identify source data and perform data quality checks both in model/solution development and in production
Package model/solution and deploy it in cooperation with Data Engineers and MLOps
Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
Qualifications
Meets one of the following Education AND Experience combinations:
Combination 1 - PhD with 2+ years of experience
Combination 2 - Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
3+ years of hands-on ML modeling/development experience
Solid understanding of data analysis and statistical modeling
Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
Demonstrated track record in experimental design and execution
Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing, and applying parallelism to ML solutions
Strong programming skills in Python
Solid background in algorithms and a range of ML models
Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
Excellent analytical and problem-solving abilities with superb attention to detail
Proven leadership in providing technical leadership and mentoring to data scientists, strong management skills with the ability to monitor/track performance for enterprise success
Nice to Have
Experience with deep learning and neural networks
Familiarity with big data technologies such as Hadoop and Spark
Knowledge of natural language processing (NLP) techniques
Understanding of cloud computing platforms such as AWS or Azure
Previous experience in the insurance or financial industry
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