This position will be a 3-month contract-to-hire. The hourly range is between $45 - $55 per hour, and the FTE conversion salary is between $95k - $105k. Exact compensation may vary based on factors such as skills, education, and experience.

Duties and Responsibilities:

• Ability to use advanced analytics methods to extract value from business data.
• Ability to perform 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.
• Influences product teams through presentation of data-based recommendations.
• Performs other duties as assigned.

Basic Qualifications:

• Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
• or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data science
• Experience with R, RStudio, Python, SAS, SQL, NoSQL

Preferred Qualifications:

• Up-to-date knowledge of machine learning and data analytics tools and techniques
• Knowledge in predictive modeling methodology
• Experienced at leveraging both structured and unstructured data sources
• Willingness and ability to learn new technologies on the job
• Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
• Work and/or educational experience with big data analysis tools and techniques
• Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
• Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
• Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
• Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
• Financial Services background

About Candidate:

• A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
• Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
• Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
• Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
• Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
• Experience in banking or financial services is a plus