Data Science Organization Lead
il y a 4 semaines
Key responsibilities include:
Identifying high-impact business opportunities through data exploration, model prototypes, and bootstrapping projects.
Hands-on development, productionization, and operation of machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data.
Collaborating closely with data scientists and engineers to develop the next generation of Datadog's features.
Mentoring and guiding data scientists in the organization by promoting best practices, strong technical decisions, coding standards, and thorough documentation.
Regularly presenting work internally to technical, engineering, and product stakeholders to iterate and generate excitement.
Engaging with the data science and engineering community to advance Datadog's standing.
Requirements include:
~8+ years of industry experience in data science, machine learning engineering, or a related field, and a Master's degree or PhD in a relevant field.~ 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.~ Experience collaborating with stakeholders from various 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 understanding of data engineering practices around creation of data pipelines, processing data, and storing data using technologies like 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 opportunities include:
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. Sales training in MEDDIC and Command of the Message. 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+. Giving programs.
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