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For Companies At a Glance
- Tasks: Develop predictive models and analyse large datasets to optimise user acquisition strategies.
- Company: Join Miniclip, a leading global gaming company with a vibrant culture.
- Benefits: Enjoy competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact in the gaming industry by leveraging data to drive business decisions.
- Qualifications: Experience in data science, Python, SQL, and predictive modelling is essential.
- Other info: Be part of a dynamic team with exciting projects and career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a highly motivated Data Scientist to join the User Acquisition Analytics team. You will play a critical role in developing and deploying predictive models from large datasets, collaborating within a skilled multifaceted team to solve complex problems and ensure our UA investments are optimized and sustainable.
Responsibilities
- Develop and refine pLTV (predicted Lifetime Value) models to optimize user acquisition strategies, ensuring profitable and sustainable growth.
- Utilize SQL, Python and PySpark within the Databricks environment to extract, transform, and analyze large datasets, providing actionable insights to the User Acquisition team.
- Collaborate closely with other Data Scientists and Analytic Engineers to enhance data pipelines, model accuracy, and reporting capabilities.
- Proactively identify and resolve data discrepancies and model errors to maintain the integrity and reliability of pLTV predictions.
- Communicate complex findings and model performance to stakeholders, answering questions and building a strong understanding of how UA data drives business decisions.
- Create and maintain dashboards in Looker to visualize key performance indicators and share insights with the wider team.
What we’re looking for
- Proven experience as a Data Scientist, specifically working on predictive models.
- Experience with performance marketing within mobile gaming or apps (not mandatory).
- Strong proficiency in Python for data analysis and model development, and SQL for data querying and manipulation.
- Experience with cloud-based data platforms (e.g. AWS, Databricks) and business intelligence tools such as Looker.
- A solid grasp of statistical and machine learning concepts, with a focus on time-series analysis or predictive modeling.
Data Scientist employer: Miniclip
Contact Detail:
Miniclip Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Miniclip or in the gaming industry on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and data analysis projects. This will help us demonstrate our expertise and make a lasting impression during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on SQL, Python, and machine learning concepts. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with Miniclip's needs.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with predictive models, SQL, and Python. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include any relevant projects or case studies in your application. If you've worked on pLTV models or similar, let us know! This gives us a glimpse into your hands-on experience.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're passionate about data science and how you can contribute to our User Acquisition Analytics team. We love straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Miniclip
✨Know Your Models
Make sure you can discuss your experience with predictive models in detail. Be ready to explain how you've developed and refined pLTV models in the past, and how they contributed to user acquisition strategies.
✨Show Off Your Tech Skills
Brush up on your SQL and Python skills before the interview. Be prepared to talk about specific projects where you've used these tools, especially in a Databricks environment. If you have experience with PySpark, make sure to highlight that too!
✨Collaboration is Key
Since this role involves working closely with other Data Scientists and Analytic Engineers, think of examples where you've successfully collaborated on projects. Highlight how you’ve enhanced data pipelines or model accuracy through teamwork.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You’ll need to communicate effectively with stakeholders, so prepare to share how your insights have driven business decisions in previous roles.
