Senior Data Scientist, Expert In Recruitment Solutions, Columbus, OH
Expert In Recruitment Solutions -
Columbus, OH,
US
Senior Data Scientist
Date Posted: 2024-04-28
Job description
Title: Senior Data Scientist
Location: Columbus, OH (Hybrid) local
Duration: 8+ month contract
Our Enterprise Data and Analytics team is growing, and we are looking for an outstanding Senior Data Scientist to join our team.
You will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how we understand our customers and the communities we serve.
As we advance our data science and analytics capabilities, we want experts in modeling complex business problems
and discovering business insights using statistical, algorithmic, mining, and visualization techniques.
The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports
the senior leadership with insights, management reports, and analysis for decision-making processes.
Duties and Responsibilities:
Performs advanced analytics methods to extract value from business data.
Performs large-scale experimentation and builds data-driven models to answer business questions.
Conducts research on cutting-edge techniques and tools in machine learning, deep learning, and artificial intelligence.
Determines requirements that will be used to train and evolve deep learning models and algorithms.
Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
Influences product teams through presentation of data-based recommendations.
Evangelizes best practices to analytics and product teams.
Basic Qualifications:
Master's Degree in computer science, statistics, economics or related fields.
Financial Services background.
9+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics
and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software,
Experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping,
and scalable data pipelines and experience with big data analysis tools and techniques.
Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
Strong understanding of statistical methods and skills such as Bayesian Networks Inference,
linear and non-linear regression, hierarchical, mixed models/multi-level modeling
Up-to-date knowledge of machine learning and data analytics tools and techniques
Strong knowledge in predictive modeling methodology
Experienced at leveraging both structured and unstructured data sources
Willingness and ability to learn new technologies on the job
Demonstrated ability to communicate complex results to technical and non-technical audiences
Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
Strategic, intellectually curious thinker with focus on outcomes
Professional image with the ability to form relationships across functions.
Location: Columbus, OH (Hybrid) local
Duration: 8+ month contract
Our Enterprise Data and Analytics team is growing, and we are looking for an outstanding Senior Data Scientist to join our team.
You will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how we understand our customers and the communities we serve.
As we advance our data science and analytics capabilities, we want experts in modeling complex business problems
and discovering business insights using statistical, algorithmic, mining, and visualization techniques.
The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports
the senior leadership with insights, management reports, and analysis for decision-making processes.
Duties and Responsibilities:
Performs advanced analytics methods to extract value from business data.
Performs large-scale experimentation and builds data-driven models to answer business questions.
Conducts research on cutting-edge techniques and tools in machine learning, deep learning, and artificial intelligence.
Determines requirements that will be used to train and evolve deep learning models and algorithms.
Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
Influences product teams through presentation of data-based recommendations.
Evangelizes best practices to analytics and product teams.
Basic Qualifications:
Master's Degree in computer science, statistics, economics or related fields.
Financial Services background.
9+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics
and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software,
Experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping,
and scalable data pipelines and experience with big data analysis tools and techniques.
Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
Strong understanding of statistical methods and skills such as Bayesian Networks Inference,
linear and non-linear regression, hierarchical, mixed models/multi-level modeling
Up-to-date knowledge of machine learning and data analytics tools and techniques
Strong knowledge in predictive modeling methodology
Experienced at leveraging both structured and unstructured data sources
Willingness and ability to learn new technologies on the job
Demonstrated ability to communicate complex results to technical and non-technical audiences
Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
Strategic, intellectually curious thinker with focus on outcomes
Professional image with the ability to form relationships across functions.