DescriptionSummary:

Our Enterprise Data and Analytics team is growing, and we're looking for an outstanding Lead Data Scientist to join our team. At Huntington, 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. Our goal is to be the Best performing Regional Bank in America, and we need data and analytics to meet that goal. 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 Lead 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 field5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, including experience with big data analysis tools and techniques, and building and deploying predictive models, web scraping, and scalable data pipelines.1+ years experience, statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling1+ years experience with R, RSTudio, Python, SAS, SQL, NoSL 

Preferred Qualifications:

PhD in computer science, statistics, economics or related fields Up-to-date knowledge of machine learning and data analytics tools and techniquesStrong knowledge in predictive modeling methodologyExperienced at leveraging both structured and unstructured data sourcesWillingness and ability to learn new technologies on the jobDemonstrated ability to communicate complex results to technical and non-technical audiencesStrategic, intellectually curious thinker with focus on outcomesProfessional image with the ability to form relationships across functionsAbility to train more junior analysts regarding day-to-day activities, as necessaryProven ability to lead cross-functional teamsStrong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)Financial Services background

Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Hybrid

Huntington is an equal opportunity and affirmative action employer and is committed to providing equal employment opportunities for all regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Agency Statement: Huntington does not accept solicitation from Third Party Recruiters for any position