Job details

Senior Data Scientist (Remote)

Remote

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, 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

What Axios brings to the table besides salary:

401(k) with employer match
Robust PPO and High Deductible health insurance options on the Blue Cross Blue Shield network
Employer Health Savings Account (HSA) contribution for the high deductible health plan option
Dental and vision coverage
Primary caregiver 12-week paid leave
Generous vacation policy, plus holidays
One mental health day per quarter
Annual learning and development stipend
$100 monthly work-from-home stipend
Tele-mental health services through Headspace
OneMedical membership, including tele-health services
Personal health advocacy resources through HealthAdvocate
Inclusive fertility, hormonal health and family forming benefits through Carrot Fertility
Access to the Axios “Family Fund”, which was created to allow employees to request financial support when facing financial hardship or emergencies
Increased work flexibility for parents and caretakers
Virtual company-sponsored social events
A strong and positive work environment
A commitment to an open, inclusive, and diverse work culture

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.