Senior Data Scientist - Marketing Analytics

DescriptionOverview:Our Enterprise Data and Analytics team is growing, and we're seeking an outstanding Senior Data Scientist to support and scale our continually expanding sponsorship portfolio. 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 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.ResponsibilitiesPerforms advanced analytics methods to extract value from business dataPerforms large-scale experimentation and build data-driven models to answer business questionsConducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligenceDetermines requirements that will be used to train and evolve deep learning models and algorithmsArticulates a vision and roadmap for the exploitation of data as a valued corporate assetInfluences product teams through presentation of data-based recommendationsEvangelizes best practices to analytics and products teamsOwns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoringPerforms other duties as assignedBasic QualificationsMaster’s degree in computer science, statistics, economics or related fields1+ years' work and/or educational experience in machine learning or cloud computing, experience using statistics, machine learning, and AI 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 QualificationsUp-to-date knowledge of machine learning, AI, 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 audiencesDemonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelinesStrategic, intellectually curious thinker with focus on outcomesProfessional image with the ability to form relationships across functionsStrong experience with R/RStudio, Python, SAS, SQL, NoSQLStrong 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 modelingFinancial Services background preferredExempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)YesWorkplace TypeOfficeOur Approach to Office Workplace TypeCertain 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.Compensation Range$70,000-$140,000 annuallyThe compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).Huntington is an Equal Opportunity Employer.Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.