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- Tasks: Analyse complex data sets and run product experiments to optimise ad performance.
- Company: Join Meta, a leading tech company shaping the future of apps and gaming.
- Benefits: Enjoy remote work flexibility and a competitive bonus structure.
- Why this job: Work on impactful projects with cross-functional teams in a dynamic environment.
- Qualifications: Strong expertise in ML systems, SQL, and fluency in Python or R required.
- Other info: Contract duration is 11 months with potential for extension.
The predicted salary is between 48000 - 72000 £ per year.
Location: UK Remote
Contract Duration: 11 months (possibility of extension)
Start Date: June 2025
Hours: 40/week | Bonus: 20%
Meta's App & Gaming team is hiring a senior Data Scientist to work on high-impact projects in one of Meta's largest and most strategic ads verticals. You'll analyze complex data sets, run product experiments, and contribute to the development of optimization tools and new ad formats. The role involves close collaboration with cross-functional teams, including product managers, engineers, and directors. You'll work on real-world challenges like improving ad delivery ranking systems and optimizing Audience Network performance on third-party platforms.
You'll need strong expertise in ML systems, the ability to handle large datasets using SQL, and fluency in Python or R. This role is ideal for someone passionate about experimentation and solving business problems at scale.
Non-Negotiable Skills:
- ML Technical System Knowledge
- SQL (large datasets)
- Python or R
Preferred Skills:
- Experience in Ads / AdTech
- App or Gaming industry background
- Experimentation in product or ML environments
- Experience in large tech companies
61490-1 Senior Data Scientist employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 61490-1 Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and data science, especially as they relate to advertising and gaming. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the Ads and Gaming sectors. Attend relevant webinars or meetups to connect with people who work at Meta or similar companies. This can provide you with insider knowledge and potentially a referral.
✨Tip Number 3
Brush up on your SQL skills, particularly focusing on handling large datasets. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your abilities.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges in Python or R. Use platforms like LeetCode or HackerRank to sharpen your skills, especially in areas related to data manipulation and analysis.
We think you need these skills to ace 61490-1 Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills. Highlight your experience with ML systems, SQL, and Python or R in your application.
Tailor Your CV: Customise your CV to reflect your relevant experience in data science, particularly in ads or gaming. Use specific examples of projects where you've analysed complex datasets or run product experiments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for experimentation and problem-solving. Mention how your background aligns with the company's goals and the specific challenges mentioned in the job description.
Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, emphasise any past experiences where you collaborated with product managers, engineers, or directors to achieve project goals.
How to prepare for a job interview at Harvey Nash
✨Showcase Your Technical Skills
Make sure to highlight your expertise in machine learning systems, SQL, and either Python or R during the interview. Be prepared to discuss specific projects where you've successfully applied these skills, as this will demonstrate your capability to handle complex data sets.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios, especially related to ad delivery ranking systems and Audience Network performance. Practise articulating your thought process and how you would approach these challenges.
✨Emphasise Collaboration Experience
Since the role involves working closely with cross-functional teams, be ready to share examples of past collaborations with product managers, engineers, or directors. Highlight how your teamwork contributed to successful project outcomes.
✨Demonstrate Passion for Experimentation
Convey your enthusiasm for experimentation and optimisation in your responses. Discuss any relevant experiences where you conducted product experiments or developed optimisation tools, as this aligns well with the job's focus on high-impact projects.
