At a Glance
- Tasks: Partner with customers to design and scale impactful experimentation programmes.
- Company: Join Datadog, a leader in tech innovation and customer success.
- Benefits: Competitive salary, stock options, and continuous career development.
- Other info: Inclusive culture with mentorship and growth opportunities.
- Why this job: Make a real impact by driving measurable business outcomes through data science.
- Qualifications: 4+ years in data science with strong statistical and experimental design skills.
The predicted salary is between 60000 - 80000 £ per year.
As a Customer Data Scientist at Datadog, you will partner directly with customers to help them design, execute, and scale high-impact experimentation programs. This role is ideal for someone with deep experience in applied experimentation who thrives in customer-facing environments and is motivated by driving measurable business outcomes. You will guide customers through experiment design, metric development, and data validation, helping them build trustworthy, decision-driven experimentation practices. Working cross-functionally with Sales, Product, and Engineering, you’ll play a key role in both customer success and product evolution.
What You’ll Do:
- Serve as a technical and analytical partner to customers across pre-sales and post-sales engagements, demonstrating the value of Datadog’s experimentation capabilities.
- Support proofs of concept by helping customers define metrics, validate data pipelines, and design statistically sound experiments.
- Educate customers on best practices in experiment design and interpretation across product, marketing, pricing, and AI-driven use cases.
- Enable long-term customer success by building strong experimentation practices and analytical rigor within their teams.
- Collaborate with Product and Engineering to translate customer feedback into product improvements and roadmap input.
- Partner with Sales and Solutions teams to navigate complex customer needs, address objections, and build trusted relationships.
Who You Are:
- 4+ years of experience in data science with a strong foundation in statistics, causal inference, and experimental design in applied business or product contexts.
- Hands-on experience running A/B tests and applying advanced experimentation methods such as holdouts, bandits, synthetic controls, or geo-based testing.
- Fluent in SQL and comfortable working with data warehouses and pipelines to diagnose and resolve data quality issues.
- Experienced in customer-facing, consulting, or pre-sales environments, with the ability to communicate complex ideas clearly to diverse audiences.
- Skilled at translating analytical insights into business impact, influencing decisions across technical and non-technical stakeholders.
- Experience with experimentation platforms, analytics tooling, or modern data stack technologies (e.g., dbt, Airflow) is a plus.
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:
- Generous and competitive benefits package.
- New hire stock equity (RSUs) and employee stock purchase plan.
- Continuous career development and pathing opportunities.
- Employee-focused best-in-class onboarding.
- Internal mentor and cross-departmental buddy program.
- Friendly and inclusive workplace culture.
Equal Opportunity at Datadog:
Datadog 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Senior Customer Data Science - Solutions / Experimentation in London employer: Datadog
At Datadog, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive workplace culture in the heart of London. Our commitment to employee growth is evident through our generous benefits package, continuous career development opportunities, and a supportive onboarding process that includes mentorship and cross-departmental collaboration. Join us to make a meaningful impact by partnering with customers to drive data-driven experimentation practices while enjoying a fulfilling work environment that values diversity and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Customer Data Science - Solutions / Experimentation in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to customer data science. We recommend role-playing with a friend to boost your confidence and get feedback.
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, highlight specific projects where you’ve driven measurable outcomes. This will make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Customer Data Science - Solutions / Experimentation in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Customer Data Scientist role. Highlight your experience in applied experimentation and customer-facing environments, as this will show us you understand what we're looking for.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you've successfully designed experiments or influenced business outcomes. This helps us see how you can add value to our team.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's relevant. Make it easy for us to see your qualifications and how they align with the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Datadog
✨Know Your Experimentation Stuff
Make sure you brush up on your knowledge of A/B testing, causal inference, and experimental design. Be ready to discuss specific examples from your past experiences where you've successfully implemented these methods. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Show Off Your Customer-Facing Skills
Since this role involves a lot of customer interaction, prepare to share stories about how you've effectively communicated complex data concepts to non-technical audiences. Highlight any experience you have in consulting or pre-sales environments, as this will demonstrate your ability to build trust and rapport with clients.
✨Get Familiar with Datadog’s Tools
Do some homework on Datadog’s experimentation capabilities and analytics tools. If you can, try to get hands-on experience with similar platforms like dbt or Airflow. Being able to speak knowledgeably about their tools will show your genuine interest in the company and the role.
✨Prepare for Cross-Functional Collaboration
Think about how you’ve worked with different teams in the past, such as Sales, Product, or Engineering. Be ready to discuss how you’ve navigated complex customer needs and translated feedback into actionable insights. This will highlight your collaborative spirit and your understanding of how to drive product evolution.