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Data Scientist

75% Flex
Remote: 
Full Remote
Contract: 
Salary: 
89 - 118K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
California (USA), Illinois (USA), Massachusetts (USA), Oregon (USA), United States

Offer summary

Qualifications:

2+ years of experience in Data Science, Machine Learning, or Applied Science., Proven track record in delivering end-to-end solutions with Python..

Key responsabilities:

  • Solve complex problems with data-driven tools and algorithms.
  • Collaborate with stakeholders for successful project outcomes.
WEX logo
WEX XLarge https://www.wexinc.com/
5001 - 10000 Employees
See more WEX offers

Job description

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Your missions

This is a remote position, however, the candidate must reside within 30 miles of one of the following locations: Portland ME, Boston MA, Chicago IL and San Jose CA.

About the Team

We are a fast-growing AI team, driving WEX's strategic vision to integrate artificial intelligence into the core of our business. Our team thrives on collaboration, working directly with stakeholders and domain experts to develop innovative AI solutions that enhance decision-making and create groundbreaking products. We foster a culture of continuous learning and believe that the best work stems from a shared purpose and an enjoyable, engaging environment.

How You’ll Make an Impact 

You are a highly motivated and results-oriented individual with a passion for data science and machine learning. You possess a strong drive to learn and excel in solving complex problems using data-driven tools and algorithms. You understand the importance of effective communication and collaboration in achieving successful outcomes.

Experience You’ll Bring 
  • 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

Technical Skills
  • 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

Key Words

 Python, Pandas, Data Science, Machine Learning, Statistical Learning, Applied Mathematics

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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • results-focused
  • Problem Solving
  • Self-Motivation
  • collaboration