Senior Data Scientist, Machine Learning

| Seattle

The ExtraHop platform is a novel approach to processing vast amounts of wire data in real-time. Want to join a collaborative team that builds solutions which provide deep performance insights, behavioral security analyses, and drive business analytics? Keep reading.

Big Data, the cloud, elastic computing, SaaS, AWS, BYOD, HPC, SDN—we do it all. The solutions we build at ExtraHop are transforming the IT industry. From retail websites and point-of-sale systems to financial services and the healthcare industry, ExtraHop helps modern businesses handle the growing demands on their applications and infrastructures.

We’re growing fast and we’re looking for people who love to build things: products, companies, markets, and their careers!  Come contribute and build with one of the best teams in the industry.

This role will work on our Analytics team and with ExtraHop’s Atlas service, which monitors over 600,000 devices that process over 2.7 petabytes a day. The Analytics team will drive projects to increase value of our real-time application performance metrics. This team will partner with the Product and Operations teams to identify actionable insights into network issues, application performance, and business analytics. We’re looking for passionate engineers that want to build the next-generation analytics feature at ExtraHop.

Duties & Responsibilities

  • Work in across-functional team to research and build rich analytics into the ExtraHop system: investigate customer operation challenges, frame and structure questions, collect and analyze data, as well as summarize and present key insights in support of decision-making
  • Demonstrate and share your passion and understanding of data science  
  • Build analytics tools to develop actionable insights using the ExtraHop system
  • Contribute in all phases of development starting from the design proof of concept to laying down the scalable production code

Required Skills & Experience

  • A degree in Statistics, Computer Science, Physical Sciences or a related technical field
  • A strong track record of performing data analysis using Python (numpy, pandas, scikit-learn, etc.) or equivalent language and SQL
  • At least 5 years experience using statistics and analytics to solve complex problems
  • Versatility and willingness to learn new technologies on the job
  • Ability to write production-quality code utilizing knowledge of data structures and algorithms with Python or related programming languages

Desired Skills & Experience

  • Understanding of common software development practices around design, coding, and testing a large codebase

About ExtraHop

At ExtraHop, we create great products because we give talented employees the freedom to be intellectually curious and creative. We seek a diversity of perspectives and foster employee quirkiness and spunk to help drive innovation. Every ExtraHop employee knows that we’re all in this together and that work is an important part of life so it should be fun. A sense of humor is required here, seriously!

We are the global leader in real-time wire data analytics, a novel approach to IT Operational Analytics. Our market opportunity is greater than $15B and our solutions span all industries. Pretty neat, huh? If you want to join a fun team that produces award-winning products that provide tremendous business value and delight customers, then ExtraHop is the company for you!

Founded by engineers, ExtraHop is a Seattle-based technology company that delivers elegant solutions for the tech industry’s most challenging problems. 

As a privately held fast-growing technology leader in the $20B IT operations management space, ExtraHop Networks is positioned to be the next great systems company. We are known as innovators who take a smart, creative approach to solving problems. Our ExtraHop team and product line have received many awards, including wins in multiple categories of Best of Interop, a Gold Medal prize in Puget Sound Business Journal’s annual list of Washington’s Best Workplaces, and several Gold Stevie American Business Awards.

ExtraHop is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law.
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Location

In the heart of Seattle, with easy access to transportation, restaurants, and entertainment.

What are ExtraHop Perks + Benefits

Culture
Volunteer in local community
Friends outside of work
Eat lunch together
Intracompany committees
Daily stand up
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Diversity
Highly diverse management team
Diversity manifesto
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Retirement & Stock Options Benefits
401(K)
Company Equity
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Acme Co. provides employees with a flexible work schedule that includes Flexible start and end times.
Remote Work Program
Family Medical Leave
Return-to-work program post parental leave
Company sponsored family events
Acme co. sponsors family oriented events Annually.
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Game Room
Stocked Kitchen
Some Meals Provided
Happy Hours
Parking
We offer employees A parking subsidy.
Recreational Clubs
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
Cross functional training encouraged
Promote from within
Mentorship program
Continuing Education stipend
Time allotted for learning
Online course subscriptions available
Paid industry certifications
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