Engineering Manager I - Data Science Shared Models

Posted 5 Days Ago
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Paris, Île-de-France
Hybrid
Senior level
Artificial Intelligence • Cloud • Software • Cybersecurity
We are building the monitoring and security platform for developers, IT ops teams and business users in the cloud age.
The Role
As Engineering Manager I in Data Science, you will lead a team to develop shared models and algorithms for Datadog products, focusing on data collection, processing, and visualization. You will collaborate with engineering and product teams to solve high-impact problems and ensure scalable architecture for product growth.
Summary Generated by Built In

The Team
The mission of the Data Science team is to improve observability, efficiency, security, and drive business growth for Datadog customers by augmenting Datadog products with smarter and differentiated solutions. This includes designing and building algorithmically driven features in the Datadog app. We work across a range of applications and types of data, including time series, logs and distributed tracing, to power features like anomaly detection and faulty deployment analysis .
The Opportunity
As an Engineering Manager I in the Data Science org, you will lead and grow a team of Data Scientists to help build and improve the growing suite of Watchdog products and features . You will work closely with our engineering and product partners to prioritize and solve high-impact customer problems by augmenting Datadog products with Watchdog features. In particular, you will lead the development of shared Data Science models and algorithms for use by various Datadog teams with similar modeling needs. You'll be responsible for the strategy and execution of these solutions while developing and growing a team of talented engineers and data scientists.
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:

  • Lead and develop a talented team of 5 data scientists and software engineers, who are responsible for building the product, including data collection, data processing and serving, and data visualization
  • Lead the team on developing machine learning and statistical algorithms that can support multiple user-facing products by generalizing solutions to shared data science problems, including some hands-on code contributions
  • Collaborate with stakeholder teams to develop joint roadmaps that provide the underlying primitives required to execute the vision of the product
  • Work closely with product management and design teams to create intuitive, powerful and beautiful user workflows that best leverage the vast amount of information being collected
  • Ensure the development and continuous improvement of a scalable and reliable architecture that can keep up with the growth of the product in a sustainable manner


Who You Are:

  • You have a BS/MS/PhD in an applied scientific field or equivalent professional experience.
  • You have 5+ years of work experience with data science, backend engineering, machine learning engineering, big data, and/or mathematics/statistics.
  • You have 2+ years management experience, managing software engineers and/or data scientists
  • You have partnered with product management and design teams in the past to set the vision and strategy for your projects
  • You have a track record of motivating teams by setting clear and ambitious goals, and providing the support and coaching required to achieve them
  • You have significant experience applying data science and machine learning to build products
  • You can explain complex ideas and algorithms in understandable ways


Bonus points (any of the following):

  • You've experience working with time series analysis
  • You have worked on building shared data science utilities and libraries for internal client teams
  • You are familiar with the software observability domain and you have experience working with telemetry data
  • You have experience working on complex projects spanning multiple engineering teams
  • You have worked on large scale distributed systems and/or real-time data processing pipelines


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:

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our Internal panel discussions
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits


Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Your Privacy:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice .

Top Skills

Data Science
Machine Learning

What the Team is Saying

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The Company
HQ: New York, NY
5,000 Employees
Hybrid Workplace
Year Founded: 2010

What We Do

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another.

Why Work With Us

At Datadog, we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems, innovate pragmatically, and grow together. We promote from within, provide mentorship and opportunities for career development, and support our colleagues in the process. Best of all? We truly love what we do.

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Datadog Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
HQNew York, NY
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