Senior Data Scientist

Senior Data Scientist Overview

The Senior Data Scientist contributes to building and developing the organization’s data infrastructure and supports senior leadership with insights, management reports, and analysis for decision‑making processes.

• 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 techniques and tools in machine learning, deep learning, and 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 product 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.

• 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, scalable data pipelines and experience with big data analysis tools and techniques.

• 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, No
  
  SQL
• Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
• Strong experience with machine learning environments (e.g., Tensor Flow, scikit‑learn, caret)
• Strong understanding of statistical methods and skills such as Bayesian network inference, linear and non‑linear regression, hierarchical, mixed models/multi‑level modeling
• Financial services background

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