At a Glance
- 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 dynamic, 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 supportive team.
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 Wakefield 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 Wakefield
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in experimentation. A friendly chat can lead to insider info about job openings or even referrals that could land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experimentation projects, including A/B tests and other analytical work. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to engage with senior stakeholders who may not have a technical background.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Senior Data Scientist - Experimentation in Wakefield
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 what we're looking for!
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. We love a good story!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python or R, and your SQL skills. We’re keen to see how you’ve applied these in real-world scenarios, especially in low-power or constrained-randomisation experiments. Be specific!
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. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at DigiTech Resourcing
✨Know Your Experimentation Techniques
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 role heavily relies on your ability to design and analyse experiments effectively.
✨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 analytical insights in the past, whether through presentations or written reports.
✨Showcase Your Autonomy
This position requires someone who can hit the ground running. Be prepared to share specific instances where you've worked independently on projects, managed competing priorities, and delivered impactful results quickly. Highlight your problem-solving skills and critical thinking.
✨Mentorship Matters
As a senior data scientist, you'll likely mentor junior analysts. Think about your coaching style and prepare to discuss how you've supported others in their development. Share examples of how you've helped team members grow their skills and confidence in data science.