Sr. Data Scientist, Advanced Analytics and Insights

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.

• Perform advanced analytics methods to extract value from business data.
• Perform large‑scale experimentation and build data‑driven models to answer business questions.
• Conduct research on cutting‑edge techniques and tools in machine learning, deep learning, and artificial intelligence.
• Determine requirements that will be used to train and evolve deep learning models and algorithms.
• Articulate a vision and roadmap for the exploitation of data as a valued corporate asset.
• Influence product teams through presentation of data‑based recommendations.
• Evangelize best practices to analytics and products teams.
• Own the entire model development process, from identifying business requirements, data sourcing, model fitting, presenting results, and production scoring.
• Perform other duties as assigned.

• 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 with scripting languages and packages.
• Experience building and deploying predictive models.
• Experience with web scraping and scalable data pipelines.
• Experience with big data analysis tools and techniques.

• Up‑to‑date knowledge of machine learning and data analytics tools and techniques.
• Strong knowledge in predictive modeling methodology.
• Experience 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, and No
  
  SQL.
• Strong experience with cloud machine learning technologies, e.g. AWS Sage Maker.
• Strong experience with machine learning environments such as Tensor Flow, scikit‑learn, and caret.
• Strong understanding of statistical methods and skills such as Bayesian network inference, linear and non‑linear regression, hierarchical, mixed models, and multi‑level modeling.
• Financial services background.

Exempt Status:
Yes

Location:

Office

Huntington is an Equal Opportunity Employer. Tobacco‑Free Hiring Practice:
Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume.