Quick take: Axios is a growth-stage startup dedicated to providing trustworthy, award-winning news content in an audience-first format. We're hiring a Senior Data Scientist to join our growing data teams! 

Why it Matters: This Senior Data Scientist will be key in providing deeper insights, enabling data-informed decision-making, and building data-powered products by leveraging machine learning and AI. In this role, you will work within a cross-functional team to drive forward data initiatives across mission-critical Axios products.

Go deeper: As a Senior Data Scientist you will make an impact on Axios through the following responsibilities:

• Working closely with Product Managers to develop machine learning and AI-powered data products
• Develop, deploy, monitor, validate, and govern models used in production applications
• Apply natural language processing techniques to a wide range of business problems
• Identify opportunities to implement new techniques and technologies
• Extending Python libraries used for advanced analytics and machine learning
• Remaining up to date on the new and state-of-the-art applications of machine learning and AI

The Details: Ideal candidates will embody an entrepreneurial spirit, and a passion for Axios’ mission and 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 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
• Experience applying appropriate analytical methods and experimental design (training models, feature development, regression testing)
• Understanding of NLP techniques for text representation and semantic extraction 
• Experience leveraging 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 in and around AWS data services
• Experience working with cross-functional data teams and with Data Engineers, Analysis, 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, plus 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 was created to allow employees to request financial support when facing financial hardship or emergencies 
• Class pass discount
• Virtual company-sponsored social events

Starting salary for this role is in the range of $165,000 - $180,000 and is dependent on numerous factors, including but not limited to location, work experience, and skills. This range does not include other compensation benefits.

Equal Opportunity Employer Statement

Axios is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit 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 outlined by federal, state, or local laws.

This policy applies 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 based solely on qualifications, merit, and business needs at the time.