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Staff Applied Scientist – Data Science
| Company | Datadog |
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| Location | New York, NY, USA |
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| Salary | $234000 – $300000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
- Passionate about technology and a desire to grow skills
