Job description

Description Summary: 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 build data-driven models to answer business questions. Conducts research on cutting-edge techniques and tools in machine learning/deep learning/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 products teams. Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring. Performs other duties as assigned. Basic Qualifications: Master’s Degree in computer science, statistics, economics or related fields 3 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. Preferred Qualifications: 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 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 Financial Services background #LI-NG1 #LI-Onsite Exempt Status: (Yes not eligible for overtime pay) ( No eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington s Career Web Site for more details. Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Requirements

Must-haves

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.
Performs advanced analytics methods to extract value from business data.
Performs large-scale experimentation and build data-driven models to answer business questions.
Conducts research on cutting-edge techniques and tools in machine learning/deep learning/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 products teams.
Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
Performs other duties as assigned.
Master’s Degree in computer science, statistics, economics or related fields
Exempt Status: (Yes not eligible for overtime pay) ( No eligible for overtime pay)

Nice-to-haves

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
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

Application prep

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Keywords to mirror

machine learningpythonsqlaws

Platform: workday
Effort: long

Benefits

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Vision