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- Tasks: Lead exciting experiments and drive strategic insights for a globally recognised tech brand.
- Company: Join a unicorn tech company known for innovation and collaboration.
- Benefits: Competitive daily rate, fully remote work, and the chance to mentor junior talent.
- Why this job: Make a real impact with your data skills in a fast-paced 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 dynamic setting.
The predicted salary is between 46800 - 78000 £ 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 Chelmsford 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 Chelmsford
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills, especially around experimentation techniques and statistical modelling. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your experience with A/B testing and other analytical techniques. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your expertise. Plus, applying directly can sometimes give you an edge over other candidates. Don't miss out on the chance to land that dream job!
We think you need these skills to ace Senior Data Scientist - Experimentation in Chelmsford
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. Share specific examples of how you've tackled complex analytical problems and communicated effectively with stakeholders.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python or R, and your SQL skills. We’re looking for someone who can hit the ground running, so make sure we know you’ve got the technical chops to back up your claims!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications 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 Experiments Inside Out
Make sure you’re well-versed in various experimentation techniques like A/B tests and quasi-experimental methods. Be ready to discuss how you've applied these in real-world scenarios, especially when conditions weren't ideal. This will show your depth of knowledge and practical experience.
✨Communicate Like a Pro
Since you'll be working with senior non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare examples where you’ve successfully translated technical jargon into actionable insights for business decisions. This will highlight your communication skills and ability to bridge the gap between data science and business needs.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific analytical problems you've tackled in the past. Think about how you approached these challenges, the methodologies you used, and the impact of your solutions. This will demonstrate your critical-thinking abilities and how you can deliver meaningful results quickly.
✨Highlight Your Mentorship Experience
If you've coached or led junior analysts before, make sure to mention this during the interview. Share examples of how you’ve supported their growth and contributed to team success. This will not only showcase your leadership skills but also your commitment to fostering a collaborative work environment.
