Senior Data Scientist - Technical.ly

Senior Data Scientist

Axios |  Arlington | Data Science

Job Description
Company Culture
Technical.ly Coverage

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

 

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.

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What excites you about your products?

Our work, everything we do, is rooted in a commitment to putting our readers first. Online users have access to more content than ever before. At Axios, we want to ensure those who access our products are reading, hearing and seeing the information that matters in the most efficient way possible.

 

What’s the communication process like at Axios?

As a remote-first company, Axios has mastered digitally fostering a team spirit with frequent employee check-ins on Slack. Axios values transparency at all levels, including a weekly anonymous Q&A with its founders every Monday at the all-hands meeting. Real-time feedback is central to its culture and employees are encouraged to share their ideas and opinions openly.

Within the network of more than 250 employees, a new hire will be assigned to a smaller team and work with them every day. But no feat is accomplished without collaboration between fellow Axios squads, giving the Analytics & Insights team a chance to learn about the engineers’ daily tasks, and so on.

 

What does it feel like to be an employee at Axios?

It offers the stability of a large media company with the feel of a close-knit team. That’s partly due to the organization of our smaller squads, but Axios also makes it a priority to understand each employee’s needs. All new hires fill out a “user guide” with specifications about their communication style, decision-making process and interests. This helps new employees acclimate to our company seamlessly.

Axios encourages all employees to share opinions and ideas about new processes or potential changes. As a workplace, Axios wants to make sure all employees feel heard, and that logging on to work is something to look forward to.

 

Describe the technologists you seek to hire at Axios. 

A person who is passionate, fun, a team player and willing to take on a challenge.

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