We are looking for a staff applied 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 applied scientist you will help design implement and scale new and existing Datadogs features. You will thrive to answer questions such as: Is it feasible can we do it more efficiently with another technique and whats 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 worklife harmony that best fits them.
What Youll Do:
- Identify high impact business opportunities through data exploration model prototypes and bootstrapping projects.
- Handson development productionisation and operation of machine learning models and pipelines at scale including both batch and realtime use cases structured and unstructured data
- Collaborate closely with data scientists and engineers to develop the next generation of Datadogs 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 Datadogs standing
Who You Are:
- 8 years of industry experience (data scientist ML engineer tech lead) and a Masters 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 productoriented 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. Thats okay. If youre 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 inhouse 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.
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Required Experience:
Staff IC