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Senior Applied Scientist

Join Datadog as a Senior Applied Scientist to build machine learning models for innovative features in a hybrid work environment.

Location
New York, New York, USA
Compensation
$220k–$275k/yr
Level
senior
Type
full time · Hybrid

Posted by employer 2 weeks ago

First seen on Joblaze 2 weeks ago

Last verified on the company career page 4 hours ago

AI in the day-to-day

Engineers leverage machine learning algorithms to build scalable product features.

Requirements

Education
Master's degree

Not disclosed in this posting: years of experience, visa sponsorship.

Benefits

401k Match Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

In the role of Senior Applied Scientist at Datadog, the individual will focus on developing and implementing machine learning models and algorithms to enhance the platform's features, particularly in analyzing streaming data for insights like anomaly detection. Proficiency in high-scale systems, data pipelines, and machine learning techniques is essential for success in this position. This role is well-suited for experienced professionals with a strong technical background who can communicate complex concepts effectively. Datadog fosters a collaborative culture, emphasizing teamwork and creativity within a hybrid work environment.

Joblaze insights

Quick facts

Is the Senior Applied Scientist role remote?
It's hybrid — Datadog expects some on-site time in New York, New York, USA.
What's the salary range?
Datadog lists $220,000–$275,000 for this role.
Where is the role based?
Datadog is hiring for this position in New York, New York, USA.
What's the tech stack?
Joblaze extracted these technologies from the posting: Data Analysis, Machine Learning, statistical techniques.
What seniority level is this role?
Datadog targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Applied Scientist role at Datadog.

From the original posting

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

  • Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases
  • Leverage machine learning algorithms and statistical techniques to build new scalable product features
  • Develop, deploy and monitor new and existing features to production
  • Participate in our journal club by reading and presenting the latest academic research papers to the team
  • Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems
  • Maintain and monitor the models, services and infrastructure owned by your team
  • Participate in your team’s on-call rotation

Who You Are:

  • You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience
  • You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines
  • You can explain complex ideas and algorithms to non-technical audiences
  • You care about code simplicity and performance
  • You are excited to work on a user-facing product

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

  • Competitive global benefits
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
  • Opportunity to attend and present at conferences and meetups
  • Intra-departmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:
$220,000$275,000 USD

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.


Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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