Senior Data Scientist

Huntington; Columbus (OH); On-site; USD 110,000 - 170,000; Full time

Job summary

Huntington in Columbus, OH is seeking a Senior Data Scientist to help build data infrastructure and deliver insights for leadership. You will lead advanced analytics, run experiments, and develop production scoring models.

Preferred candidates hold a Master’s in a quantitative field and 3+ years in ML or cloud computing, with hands-on experience in Python, R, SAS, SQL, and modern ML tools; strong communication across teams is essential.

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

Responsibilities

• Performs advanced analytics methods to extract value from business data.
• Performs large-scale experimentation and builds data-driven models to answer business questions.
• Conducts research on cutting-edge ML/AI techniques and tools.
• Determines requirements for training and evolving deep learning models.
• Owns the model development process from business requirements to production scoring.

Skills

Analytical thinking

Team collaboration

Communication

Education

Master’s degree in CS, statistics, economics or related fields

Tools

R/RStudio

Python

SAS

SQL

NoSQL

TensorFlow

scikit-learn

caret

AWS Sagemaker

Job description

## Senior Data ScientistApply: Office: Columbus, OH: Full time: Posted Today: R0076409# **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