We are looking for a staff data scientist to join our data science organization. Reporting directly to the director of engineering for data science, your scope and impact will span across the whole data science organization. 

As a staff data scientist, you will help design, implement and scale new and existing Datadog’s features. You will thrive to answer questions such as:  “Is it feasible?”,  “can we do it more efficiently with another technique?” and “what’s the business opportunity of this new data science framework?”. 

Your roles will cover the whole data science lifecycle (design, prototyping, scaling and productionisation). And as one of the most senior members of the team will help coach, mentor and develop team members by being a champion for data science and engineering best practices.   

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

 

What You’ll Do: 

Identify high impact business opportunities through data exploration, model prototypes and bootstrapping projects.  Hands-on development, productionisation, and operation of machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data Collaborate closely with data scientists and engineers to develop the next generation of Datadog’s features  Mentor and guide data scientists in the organization by promoting best practices, strong technical decisions, coding standards and thorough documentation  Regularly present work internally (data science demo, internal talks,...)  to technical, engineering and product stakeholders to iterate and generate excitement  Engage with the data science and engineering community to advance Datadog’s standing

 

Who You Are: 

8+ years of industry experience (data scientist, ML engineer, tech lead…) and a Master’s degree or PhD in relevant fields Strong track records of designing, prototyping, scaling and launching data science products to solve business problems. Deep understanding of Machine Learning lifecycle, best practices, algorithms and domains (eg. anomaly detection, natural language processing, computer vision, personalization and recommendation) Experience collaborating with and understanding the needs of stakeholders from a variety of business functions  and ability to work with domain experts to leverage their expertise  into your solution  Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment. Fundamental understandings of the data engineering practice around creation of data pipelines, processing data and storing data using technologies such as spark  Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience Proven ability to communicate clearly and effectively to audiences of varying technical levels

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: 

High income earning opportunities based on individual performance 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 Spring Health benefits for employees and dependents age 6+ Competitive global benefits Giving programs

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

The reasonably estimated salary for this role at Datadog ranges from $234,000 to $300,000, plus a competitive 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.

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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.