Staff Data Scientist - Core Analytics

Posted 3 Days Ago
Be an Early Applicant
New York, NY
Hybrid
234K-300K Annually
Expert/Leader
Artificial Intelligence • Cloud • Software • Cybersecurity
We are building the monitoring and security platform for developers, IT ops teams and business users in the cloud age.
The Role
The Staff Data Scientist will lead analytics projects, collaborate with business teams, prototype data-driven solutions, and mentor junior staff to enhance business strategy through data science.
Summary Generated by Built In

Core Analytics is a cross-functional organization that provides analytics, business insights and data products across the whole of Datadog. In particular, its data-scientists work hand in hand with business teams to build ML driven insights. We tackle projects such as predicting customers propensity to convert and try out our products, or identifying and alerting on growth opportunities from past user behaviour.


The Staff Data Scientist of Core Analytics is a high visibility position with impact across the company. You work with a variety of internal partners (e.g. Go-To-Market Strategy, Sales, Marketing & Product Analytics) to make Datadog’s business strategy more scientific, data-driven and automated. You’ll build a deep understanding of how our products and operations work at the core, and leverage your expertise to identify areas where data science can drive growth. You’ll prototype, measure expected impact and socialize ideas. Your hands-on expertise and leadership will help you mentor and empower fellow data scientists to transform those ideas into actionable insights.


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:

  • Collaborate with business partners to build a deep understanding of the different aspects of our business (Sales, Marketing, Customer Success, Product Strategy).
  • Identify high impact opportunities applying data science and AI in our business processes, prototype and socialize your ideas to non technical stakeholders. Kick-off cross team initiatives.
  • Own projects from beginning to end. Be hands-on as a technical leader, from research and iteration to productionization at scale.
  • Lead projects and mentor fellow data scientists as the most senior engineer in the team.
  • Build best practices in terms of machine learning lifecycle , underlying tooling and infrastructure. Foster an environment of technical excellence.
  • Measure impact through attribution, statistics and A/B tests. Build best practices to effectively measure and communicate impacts.
  • Bring feedback and influence the roadmaps of the Data and AI platforms.


Who You Are:

  • 10+ years of industry experience in a data science role and a Master’s degree or PhD in relevant fields.
  • 4+ years of relevant leadership experience as an engineering manager or technical leader.
  • Deep understanding of Machine Learning lifecycle, best practices, algorithms and domains and their applications to business (e.g. clustering, forecasting, personalization, recommendation, NLPs and LLMs usage, drift and explainability).
  • You are impact-driven and have an entrepreneurial mindset. You have a strong track record of designing, prototyping, scaling and launching data science products to solve business problems.
  • Strong coding skills in general purpose languages like Scala or Python, and expertise with software engineering principles around testing, code reviews and deployment.
  • Strong data engineering and design skills. Experience with tools like Snowflake, Spark and Airflow. Experience in building reverse ETLs to push back insights to business systems like Salesforce, Marketo or Ads Platforms.
  • Ability to collaborate with business stakeholders, understand their needs, and simplify complex technical concepts for them to solve their problems.


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: 

  • 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 mental health benefits for employees and dependents age 6+
  • Competitive global benefits

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

Datadog offers a competitive salary and 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.

The reasonably estimated yearly salary for this role at Datadog is:

$234,000$300,000 USD

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.

Top Skills

Airflow
Python
Scala
Snowflake
Spark

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The Company
HQ: New York, NY
5,000 Employees
Hybrid Workplace
Year Founded: 2010

What We Do

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.

Why Work With Us

At Datadog, we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems, innovate pragmatically, and grow together. We promote from within, provide mentorship and opportunities for career development, and support our colleagues in the process. Best of all? We truly love what we do.

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Datadog Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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