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- Tasks: Lead exciting experiments and drive strategic insights for a globally recognised tech brand.
- Company: Join a unicorn tech company with a reputation for innovation and excellence.
- Benefits: Competitive daily rate, fully remote work, and the chance to mentor junior talent.
- Why this job: Make a real impact by solving complex analytical problems in a dynamic environment.
- Qualifications: 6+ years in Data Science, expertise in experimentation, and strong communication skills.
- Other info: Opportunity to work autonomously and grow your career in a fast-paced setting.
The predicted salary is between 78000 - 104000 £ per year.
Contract Length: 6 months
Rate: £650pd (Inside iR35 if UK based)
Location: Fully Remote
Start: ASAP
Digitech are partnering with a globally recognised tech brand, with unicorn status, who are seeking a highly experienced Senior Data Scientist to join on a 6 month contract and drive experimentation, insights, and strategic decision-making across the business. This role requires someone who can hit the ground running, operate autonomously, and communicate effectively with senior stakeholders.
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
Responsibilities:
- Lead the design, execution, and analysis of experiments, including:
- Quasi Experimental Techniques
- A/B tests
- Difference-in-difference
- Pre-/post-analysis
- Low-power and constrained-randomisation experimentation
Required Skills:
- 6+ years of experience in Data Science or related analytical roles.
- Deep expertise in experimentation, including advanced techniques and real-world constraints (e.g., no randomisation, low-power scenarios).
- Proficient in Python or R, with strong hands-on experience in statistical modelling and experimentation frameworks.
- Strong knowledge of SQL for data extraction and manipulation.
- Exceptional communication skills, with the ability to engage senior non-technical stakeholders.
- Proven ability to work autonomously, deliver impact quickly, and manage competing priorities.
- Strong analytical mindset with high attention to detail and a pragmatic approach.
- Demonstrated ability to think creatively and translate ambiguous business questions into clear analytical approaches.
- Experience coaching or leading junior team members.
Senior Data Scientist - Experimentation in Basildon employer: DigiTech Resourcing
Contact Detail:
DigiTech Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Experimentation in Basildon
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the lookout for opportunities. A personal recommendation can go a long way, especially for roles like Senior Data Scientist where experience and expertise are key.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and real-world problem-solving scenarios. Be ready to discuss your past projects and how you've tackled complex analytical problems—this is your chance to shine!
✨Tip Number 3
Showcase your communication skills! Practice explaining complex concepts in simple terms, as you'll need to engage with senior non-technical stakeholders. Remember, clarity is key when translating data insights into actionable business strategies.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can give you an edge. Plus, it shows you're proactive and serious about joining the team.
We think you need these skills to ace Senior Data Scientist - Experimentation in Basildon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with experimentation techniques and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your experience in leading experiments and how you can communicate complex concepts to non-technical stakeholders.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python or R, and your SQL skills. We love seeing examples of your analytical work, so if you have any projects or case studies, include them to demonstrate your expertise!
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 out on any important updates from us!
How to prepare for a job interview at DigiTech Resourcing
✨Know Your Experimentation Techniques
Make sure you brush up on your knowledge of quasi-experimental techniques, A/B testing, and low-power scenarios. Be ready to discuss how you've applied these methods in real-world situations, as this will show your depth of expertise and ability to handle complex analytical problems.
✨Communicate Like a Pro
Since you'll be working with senior non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated insights in the past, whether through presentations or written reports, to demonstrate your exceptional communication skills.
✨Showcase Your Autonomy
This role requires someone who can operate independently. Think of instances where you've taken the lead on projects or made decisions without much oversight. Be ready to share these experiences to highlight your ability to deliver impact quickly and manage competing priorities.
✨Prepare for Problem-Solving Questions
Expect to face questions that test your analytical mindset and critical-thinking skills. Prepare to discuss specific challenges you've encountered in your previous roles and how you approached them. This will help illustrate your pragmatic approach and creative thinking when translating ambiguous business questions into clear analytical solutions.
