Job Description
Job Description
Must Haves :
- 1-3 years' work and / or educational experience with direct programing in SQL
- SAS experience
- Strong communication / collaboration
- Experience Querying data rather than working as a DBA
- Python or R preferred
Education :
Master’s degree in computer science, statistics, economics or related fieldsIF candidate has PHD please send!
Overview :
Our Enterprise Data and Analytics team is growing, and we're looking for an outstanding Senior 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 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.
Responsibilities :
Performs 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 scoringSkills :
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 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 preferred