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- Tasks: Lead data analysis for ads products and optimise engagement in gaming.
- Company: Exciting online/mobile gaming company with a playful culture.
- Benefits: Competitive salary, generous bonuses, and a fun working environment.
- Why this job: Join a fast-growing team and make an impact in the gaming industry.
- Qualifications: Experience in data analysis, SQL, Python, and visualisation tools.
- Other info: Dynamic role with opportunities for creativity and career growth.
The predicted salary is between 42000 - 84000 £ per year.
My client is serious about being playful! A huge online/mobile gaming company with global reach is seeking a Senior Data Scientist to join their fast-growing digital advertising team. Based in Central London.
A newly created role – The Senior Data Scientist will work alongside other highly skilled Data Scientists and Business Intelligence Analysts.
Main responsibilities:
- Be the subject matter expert and analysis lead for ads products.
- Work with the product team to improve engagement with advertising across a portfolio of online and mobile games.
- Create reports and dashboards that allow the advertising team to optimise advertising initiatives using tools such as Python, R and EXASOL.
- Present and visualise results to senior management and decision making.
The ideal candidate will have the ability to analyse huge volumes of advertising data, using tools such as Hive, Impala and Hadoop, etc. You are proficient with tools such as R, Python and Excel for analytical purposes as well as experienced writing complex SQL queries and work effectively with both Hive/Impala.
Salary: Circa £70k base salary + generous bonus + excellent benefits and fun working environment.
Senior Data Scientist in City of London employer: Digital Ad-network
Contact Detail:
Digital Ad-network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your data analysis prowess. Use tools like Python or R to create something impressive that you can discuss during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists. We can even do mock interviews together to help you nail those tricky technical questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing familiar names in our inbox!
We think you need these skills to ace Senior Data Scientist in City of London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've used data to drive decisions or improve processes in previous roles. We love seeing candidates who are genuinely excited about the impact of their work.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with tools like Python, R, and SQL, and mention any relevant projects that align with the job description. We want to see how your skills fit perfectly with what we're looking for!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your achievements and skills. Remember, we’re looking for someone who can present complex data simply, so show us you can do that right from the start!
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 the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Digital Ad-network
✨Know Your Tools Inside Out
Make sure you’re well-versed in Python, R, and SQL before the interview. Brush up on your skills with Hive, Impala, and Hadoop too. Being able to discuss your experience with these tools confidently will show that you're ready to hit the ground running.
✨Showcase Your Analytical Skills
Prepare to discuss specific projects where you've analysed large datasets. Be ready to explain your thought process and the impact of your findings. Use examples that highlight how your analysis led to actionable insights, especially in advertising or gaming contexts.
✨Visualisation is Key
Since you'll need to present results to senior management, practice how you visualise data. Bring along examples of dashboards or reports you've created. This will demonstrate your ability to communicate complex information clearly and effectively.
✨Engage with the Company Culture
Research the company’s playful approach to gaming and think about how you can contribute to that culture. During the interview, don’t hesitate to share your passion for gaming and how it relates to your work as a Data Scientist. This will help you connect with the team on a personal level.
