Senior Data Scientist - Causal ML for Growth & LTV
Senior Data Scientist - Causal ML for Growth & LTV

Senior Data Scientist - Causal ML for Growth & LTV

Full-Time 60000 - 80000 £ / year (est.) No home office possible
Dojo

At a Glance

  • Tasks: Lead causal retention modelling and develop LTV frameworks for impactful commercial outcomes.
  • Company: Join Dojo, a forward-thinking company with a collaborative office culture.
  • Benefits: Enjoy competitive salary, mentorship opportunities, and a vibrant work environment.
  • Other info: Engage daily with a dynamic team across UK offices for excellent career growth.
  • Why this job: Make a real impact on growth strategies while working with cutting-edge data science techniques.
  • Qualifications: 5+ years in data science, strong Python and SQL skills, and statistical expertise.

The predicted salary is between 60000 - 80000 £ per year.

Dojo is seeking a Senior Data Scientist to lead causal retention modeling and develop LTV frameworks to drive commercial outcomes. The ideal candidate will have over 5 years of experience in data science, strong proficiency in Python and SQL, and a deep understanding of statistical methodologies. This role emphasizes mentorship and clear communication with stakeholders to ensure data-driven strategies align with product innovation. Collaborative office culture focuses on daily in-person engagement across UK offices.

Senior Data Scientist - Causal ML for Growth & LTV employer: Dojo

At Dojo, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work environment. Our focus on mentorship and professional growth ensures that our employees are not only equipped with the skills they need but also have ample opportunities to advance their careers. With a vibrant office culture that encourages daily engagement across our UK locations, we offer a unique chance to be part of a team that values data-driven strategies and product innovation.
Dojo

Contact Detail:

Dojo Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist - Causal ML for Growth & LTV

✨Tip Number 1

Network like a pro! Reach out to current employees at Dojo on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your best data science projects, especially those involving causal ML and LTV frameworks. This will help you stand out during interviews and demonstrate your expertise.

✨Tip Number 3

Practice your communication skills! Since this role involves mentoring and stakeholder engagement, be ready to explain complex concepts in simple terms. Mock interviews with friends can help you nail this.

✨Tip Number 4

Apply through our website! We love seeing candidates who take the initiative. Plus, it shows you're genuinely interested in joining the Dojo team. Don’t forget to tailor your application to highlight your experience in Python, SQL, and statistical methodologies.

We think you need these skills to ace Senior Data Scientist - Causal ML for Growth & LTV

Causal Retention Modeling
LTV Framework Development
Data Science
Python
SQL
Statistical Methodologies
Mentorship
Communication Skills
Stakeholder Engagement
Data-Driven Strategies
Product Innovation
Collaboration
In-Person Engagement

Some tips for your application 🫡

Show Off Your Experience: Make sure to highlight your 5+ years of experience in data science. We want to see how you've used Python and SQL in real-world scenarios, so don’t hold back on those details!

Be Clear and Concise: When explaining your statistical methodologies, keep it straightforward. We appreciate clarity, especially since this role involves communicating with stakeholders. Let’s make sure everyone’s on the same page!

Emphasise Mentorship Skills: Since this role involves mentorship, share examples of how you’ve guided others in the past. We love a collaborative spirit, so let us know how you’ve fostered growth in your teams.

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 this exciting opportunity!

How to prepare for a job interview at Dojo

✨Know Your Data Science Stuff

Make sure you brush up on your data science fundamentals, especially causal ML and LTV frameworks. Be ready to discuss your past projects in detail, showcasing your proficiency in Python and SQL. They’ll want to see how you’ve applied statistical methodologies in real-world scenarios.

✨Show Off Your Mentorship Skills

Since this role emphasises mentorship, think of examples where you've guided others in your field. Prepare to talk about how you’ve helped junior data scientists grow and how you communicate complex ideas clearly to stakeholders. This will show that you can lead and inspire a team.

✨Engage with the Culture

Dojo values a collaborative office culture, so be prepared to discuss how you thrive in team settings. Share experiences where you’ve worked closely with others to drive data-driven strategies. Highlight your enthusiasm for daily in-person engagement and how it contributes to innovation.

✨Ask Insightful Questions

Prepare thoughtful questions about Dojo’s current projects and future goals. This shows your genuine interest in the company and helps you understand how you can contribute to their success. It’s also a great way to demonstrate your analytical thinking and strategic mindset.

Senior Data Scientist - Causal ML for Growth & LTV
Dojo

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