Data Scientist

4 weeks ago

Columbus, United States Insight Global Full time

Qualifications:

  • Master’s Degree in computer science, statistics, economics or related fields
  • Previous Data Science Experience
  • 3+ years of work and/or educational experience in machine learning or cloud computing
  • Cloud Machine Learning technologies (Ex: AWS Sagemaker)
  • Machine Leaning environments (Ex: TensorFlow, scikit-learn, caret)
  • 3+ Years experience using statistics and machine learning to solve complex business problems
  • experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages
  • R/RStudio, Python, SAS, SQL, NoSQL
  • 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
  • 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

Day-to-day:

Our Enterprise Data and Analytics team is growing, and we're looking for an outstanding Senior Data Scientist to join our team. 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.

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.

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