Senior Data Scientist

  • Full Time
Job expired!

Quick take: Axios is a growth-stage startup committed to delivering reliable, award-winning news content in a format that prioritizes its audience. We're hiring a Senior Data Scientist to join our expanding data teams!

Why it Matters: This Senior Data Scientist will be critical in providing deeper insights, facilitating data-driven decision-making, and creating data-centric products by harnessing machine learning and AI. In this position, you will collaborate with a cross-functional team to propel data initiatives across essential Axios products.

Go deeper: As a Senior Data Scientist, you will impact Axios through the following duties:

  • Collaborating closely with Product Managers to create machine learning and AI-driven data products
  • Developing, deploying, monitoring, validating, and governing models utilized in production applications
  • Applying natural language processing techniques to various business problems
  • Identifying opportunities to implement new techniques and technologies
  • Expanding Python libraries used for advanced analytics and machine learning
  • Staying current on new and leading-edge applications of machine learning and AI

The Details: Ideal candidates will display an entrepreneurial spirit, and a passion for Axios’ mission and will have the following skills:

  • Highly collaborative and comfortable working on a remote 1st distributed team
  • Self-motivated with high attention to detail, ability to think critically and solve problems
  • Capability to learn new technologies and experience delivering a broad range of data science projects
  • Highly analytical with robust experience in analysis, math, and statistics
  • Demonstrated experience as a data scientist
  • Experience applying suitable analytical methods and experimental design (training models, feature development, regression testing)
  • Understanding of NLP techniques for text representation and semantic extraction
  • Experience using LLM and generative AI technologies
  • 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

 Bonus experiences:

  • Experience working with AWS data services
  • Experience working with cross-functional data teams and Data Engineers, Analysts, and Product Managers
  • Experience working in Media
  • Familiarity with MLOps

Don’t forget:

  • Competitive salary
  • Health insurance (100% paid for individuals, 75% for families)
  • Primary caregiver 12-week paid leave
  • 401K
  • Generous vacation policy, along with company holidays
  • 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 allows employees to request financial support during financial hardship or emergencies
  • Class pass discount
  • Virtual company-sponsored social events

Starting salary for this role is between $165,000 - $180,000 and depends on a variety of factors, including location, work experience, and skills. This range doesn't take other compensation benefits into account.

Equal Opportunity Employer Statement

Axios is an equal opportunity employer committed to promoting diversity and inclusion in the workplace. We forbid discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, age, gender identity, gender expression, veteran status, national origin, disability, genetic information, pregnancy, or any other protected characteristic as set out by federal, state, or local laws.

This policy adheres to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Axios makes hiring decisions purely based on qualifications, merit, and business needs at the time.