Growth Data Scientist: LTV & Monetization (Stock Options)

Growth Data Scientist: LTV & Monetization (Stock Options)

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Castle Island Ventures

At a Glance

  • Tasks: Lead data science projects to predict customer lifetime value and drive growth strategies.
  • Company: Join ARQ, a forward-thinking company focused on data-driven marketing solutions.
  • Benefits: Enjoy stock options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with a chance to shape the future of the company.
  • Why this job: Be the first data scientist and make a significant impact on business decisions.
  • Qualifications: Experience in data science and strong analytical skills required.

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

ARQ is seeking a Senior Data Scientist to join the Growth team as the first data science hire.

You will own data science initiatives across Growth and Marketing, starting with predicting customer lifetime value across markets and acquisition channels.

You will report to the Head of Growth and COO and help shape data-driven decisions across the business.

You’ll develop, maintain, and improve LTV prediction models for multiple countries, working with diverse data sources to inform investment, #J-18808-Ljbffr

Growth Data Scientist: LTV & Monetization (Stock Options) employer: Castle Island Ventures

ARQ is an exceptional employer that fosters a dynamic and innovative work culture, where your contributions as a Growth Data Scientist will directly influence strategic decisions. With a focus on employee growth, you will have the opportunity to lead impactful data science initiatives while collaborating with a talented team in a vibrant location, ensuring a rewarding and meaningful career path.

Castle Island Ventures

Contact Details:

Castle Island Ventures Recruitment Team

We think you need these skills to ace Growth Data Scientist: LTV & Monetization (Stock Options)

Data Science
Customer Lifetime Value Prediction
Statistical Modelling
Data Analysis
Machine Learning
Data Visualisation
Cross-Functional Collaboration