Senior Data Scientist

last updated June 9, 2021 16:17 UTC

Axios

HQ: Arlington, VA

  • OFF: Anywhere (100% Remote) Only
  • Product
  • Full-Time
Quick take: Axios is a growth-stage startup dedicated to providing trustworthy news content and communication products in an audience-first format. We’re hiring a Senior Data Scientist to join our growing data team!
Why it Matters: This Data Scientist will play a key role in helping us improve our ML features and applications. In this role, you will work closely with product teams to understand the problems they are trying to solve and convert those problems into functions that can be optimized with machine learning. In this role, you will make an impact on Axios through the following responsibilities:
  • Working closely with product teams to understand the problems they are trying to solve, converting those problems into functions that can be optimized with machine learning, and developing transparent metrics to understand and monitor model performance
  • Evaluating and selecting appropriate datasets for both supervised and unsupervised machine learning problems
  • Find and implement the best methodological approaches and tools
  • Research and develop machine learning methods for a wide range of tasks that primarily fall within natural language processing
  • Train, evaluate, monitor and iterate on models to be used in production applications
  • Perform statistical analyses to refine model performance and communicate the results to product teams and stakeholders
  • Developing transparent metrics to understand and monitor model performance
  • Extending our python libraries
  • Remaining up to date on the new and state of the art applications of machine learning
The Details: Ideal candidates will embody an entrepreneurial spirit, a passion for Axios’ mission and have the following skills:
  • Highly collaborative and comfortable working on a distributed team
  • Self-motivated with high attention to detail, ability to think critically and problem solve
  • Ability to learn new technologies and experience delivering on a wide range of data science projects
  • Highly analytical with solid experience in analysis, math and statistics
  • Proven experience as a data scientist or similar role
  • Experience applying appropriate analytical methods and experimental design (training models, feature development, regression testing)
  • Understanding of NLP techniques for text representation and semantic extraction
  • Excellent programming skills in Python/SQL
  • Comfortable with Jupyter Notebooks, and experience with machine learning frameworks (like PyTorch, Tensorflow), Python libraries (like scikit-learn, HuggingFace) and GPU-accelerated computing
  • Ability to write robust and testable code
  • Excellent communication skills
Don’t forget:
  • Competitive salary
  • Health insurance (100% paid for individuals, 75% for families)
  • Primary caregiver 12-week paid leave
  • 401K
  • Generous vacation policy, plus company holidays
  • Company equity
  • Commuter and cell phone benefit
  • A commitment to an open, inclusive, and diverse work culture
  • Annual learning and development stipend
Additional pandemic-related benefits:
  • One mental health day per quarter
  • $100 monthly work-from-home stipend
  • Company-sponsored access to Ginger coaching and mental health support
  • OneMedical membership, including tele-health services
  • Increased work flexibility for parents and caretakers
  • Access to the Axios “Family Fund”, which was created to allow employees to request financial support when facing financial hardship or emergencies
  • Class pass discount
  • Virtual company-sponsored social events
Apply info ->

To apply for this job, please visit boards.greenhouse.io

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