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- Tasks: Partner with customers to design impactful programs and validate experimentation metrics.
- Company: Join Datadog, a global leader in SaaS for observability and security.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in customer solutions.
- Why this job: Make a real difference by helping customers optimise their technology stacks.
- Qualifications: Experience in data science and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Why Here? Datadog stands as a global SaaS leader delivering observability, security, and experimentation tools to engineering teams worldwide. With rapid growth and profitability, the company empowers over 25,000 customers to monitor complex technology stacks effectively. This role resides within the Customer Data Science team focused on solutions and experimentation. They partner directly with customers to design high-impact programs driving measurable outcomes.
What Will You Do? As a Senior Customer Data Science – Solutions / Experimentation at Datadog, you will serve as a technical partner to customers across pre-sales and post-sales, demonstrating experimentation value. You will support proofs-of-concept by defining metrics, validating pipelines, and designing statistically sound experiments. Additionally, you will educate customers on best practices in experiment design while collaborating cross-functionally for product roadmap enhancements.
London or Paris Datadog Senior Customer Data Science – Solutions / Experimentation employer: Experimentation Jobs
Contact Detail:
Experimentation Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London or Paris Datadog Senior Customer Data Science – Solutions / Experimentation
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Datadog on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding of experimentation. We should be ready to discuss how we can help customers design impactful programs and validate their metrics.
✨Tip Number 3
Showcase our passion for data science and customer success during interviews. Let’s share examples of how we've driven measurable outcomes in past roles, as this aligns perfectly with what Datadog is looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight our fit for the Senior Customer Data Science role.
We think you need these skills to ace London or Paris Datadog Senior Customer Data Science – Solutions / Experimentation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role at Datadog. Highlight your experience in customer data science, solutions, and experimentation. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can contribute to our Customer Data Science team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Since this role involves technical partnerships, be sure to showcase your technical skills and experience with metrics, pipelines, and experiment design. We love seeing concrete examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Experimentation Jobs
✨Know Your Stuff
Make sure you brush up on your knowledge of Datadog's products and services, especially around observability and experimentation tools. Familiarise yourself with their customer base and think about how you can add value to their existing solutions.
✨Showcase Your Experience
Prepare to discuss specific examples from your past work where you've successfully designed experiments or worked with data science in a customer-facing role. Highlight any metrics you've defined or pipelines you've validated to demonstrate your hands-on experience.
✨Ask Insightful Questions
Come armed with questions that show your interest in the role and the company. Inquire about their current challenges in customer data science or how they measure the success of their experimentation programmes. This shows you're thinking critically about the position.
✨Collaborative Mindset
Since this role involves cross-functional collaboration, be ready to discuss how you've worked with different teams in the past. Share examples of how you’ve contributed to product enhancements or educated others on best practices in experiment design.