Staff Data Scientist
1 month ago
We are seeking a highly skilled and experienced Data Scientist to join our team at Datadog. As a Staff Data Scientist, you will play a key role in designing, implementing, and scaling new and existing features across our data science organization.
As a senior member of the team, you will help coach, mentor, and develop team members by promoting data science and engineering best practices. You will also collaborate closely with data scientists and engineers to develop the next generation of Datadog's features.
Key Responsibilities:
- Identify high-impact business opportunities through data exploration, model prototypes, and bootstrapping projects.
- Develop and operate machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data.
- Mentor and guide data scientists in the organization by promoting best practices, strong technical decisions, coding standards, and thorough documentation.
- Regularly present work internally to technical, engineering, and product stakeholders to iterate and generate excitement.
- Engage with the data science and engineering community to advance Datadog's standing.
Requirements:
- 8+ years of industry experience as a data scientist, ML engineer, or tech lead, with a Master's degree or PhD in a relevant field.
- Strong track record of designing, prototyping, scaling, and launching data science products to solve business problems.
- Deep understanding of machine learning lifecycle, best practices, algorithms, and domains (e.g., anomaly detection, natural language processing, computer vision, personalization, and recommendation).
- Experience collaborating with and understanding the needs of stakeholders from various business functions and ability to work with domain experts to leverage their expertise.
- Strong coding skills in general-purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews, and deployment.
- Fundamental understanding of data engineering practices around creating 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.
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.
At Datadog, we value people from all walks of life and are committed to creating an inclusive and diverse workplace. We believe that diversity and inclusion are essential to our success and are 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. If you're passionate about technology and want to grow your skills, we encourage you to apply.
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