At a Glance
- Tasks: Analyse data to boost advertising effectiveness and create compelling visual narratives.
- Company: Innovid, a forward-thinking company focused on data-driven advertising solutions.
- Benefits: 35 days holiday, pension plan, hybrid work, and training opportunities.
- Other info: Exciting growth potential in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact in the advertising industry.
- Qualifications: Experience with SQL and Python, plus strong analytical skills.
The predicted salary is between 50000 - 70000 £ per year.
Innovid is seeking a Data Scientist to contribute to data-driven projects in the Research, Analytics & Data Team. You'll work with a robust dataset to enhance advertising effectiveness and optimize dynamic creatives.
The role requires collaboration on high-impact projects, utilizing SQL and Python for data analysis and building narratives through effective visualization.
Innovid offers a hybrid working model, competitive benefits including 35 days holiday, pension plan, and training opportunities.
Senior Data Scientist - Hybrid Role with RSUs & Growth employer: Innovid
Innovid is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the field of data science. With a hybrid working model, generous benefits including 35 days of holiday and a pension plan, as well as ample training opportunities for professional growth, Innovid stands out as a rewarding place to advance your career while contributing to meaningful projects in advertising effectiveness.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Hybrid Role with RSUs & Growth
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Innovid 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 data analysis projects, especially those using SQL and Python. This will help us demonstrate our expertise in a tangible way.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common data science questions and scenarios. We can even do mock interviews with friends to boost our 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 we fit into Innovid's culture and values.
We think you need these skills to ace Senior Data Scientist - Hybrid Role with RSUs & Growth
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these tools in past projects, especially if they relate to data analysis and visualisation.
Tell a Story with Your Data:When you describe your previous work, focus on how you’ve turned data into actionable insights. We love seeing candidates who can build narratives around their findings, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that align with our focus on enhancing advertising effectiveness and optimising dynamic creatives.
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 with Innovid!
How to prepare for a job interview at Innovid
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Brush up on your skills and be ready to discuss specific projects where you've used these tools to drive insights.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've approached data-driven projects in the past. Think of examples where your analysis led to significant improvements in advertising effectiveness or creative optimisation.
✨Visualisation is Key
Since the role involves building narratives through effective visualisation, be ready to share examples of your work. Bring along a portfolio or screenshots of your visualisations to demonstrate your ability to convey complex data simply.
✨Emphasise Collaboration
This position requires teamwork, so highlight your experience working in collaborative environments. Be prepared to discuss how you’ve worked with cross-functional teams to achieve high-impact results.
