Job Location: Portland, ME
Job Detail:
- 2+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist
- Proven track record of delivering end-to-end solutions using diverse technologies, with Python as your core programming language
- Demonstrated ability to collaborate with stakeholders throughout the product delivery lifecycle
- Evidence of innovative problem-solving skills
- Experience with using Large Language Models for generative AI projects
- Understanding of data splitting techniques and generalization
- Experience in the financial industry a plus
- Proficiency in Python and essential data science libraries (pandas, numpy, sklearn, PyTorch)
- Strong SQL skills
- Solid understanding of probability and statistics concepts (distributions, Bayesian inference, maximum likelihood estimation, etc.)
- Familiarity with various machine learning algorithms and experience with deep learning libraries (PyTorch or TensorFlow)
- Experience with Large Language Models for generative AI projects
- Knowledge of data splitting techniques and generalization principles
- Experience with software development and the SDLC
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX’s total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX’s comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the About Us section.
Pay Range: $89,000.00 – $118,000.00
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