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- Tasks: Create predictive models using machine learning for media campaigns.
- Company: Leading data products company in Greater London with a focus on innovation.
- Benefits: Flexible hybrid work environment and opportunities for professional growth.
- Why this job: Join a dynamic team and collaborate with Google Cloud experts to make an impact.
- Qualifications: Degree in a relevant field and experience with Python, ML models, and SQL.
- Other info: Exciting opportunity for career advancement in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading data products company in Greater London seeks a Data Scientist to join the Data, Insights & Analytics Team. This role involves creating predictive models using machine learning techniques and collaborating with Google Cloud experts.
Candidates should possess a degree in a relevant field and have hands-on experience with Python, machine learning models, and SQL.
The company promotes employee growth and offers a flexible hybrid work environment.
Data Scientist: Predictive ML for Media Campaigns employer: Choreograph LLC
Contact Detail:
Choreograph LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Predictive ML for Media Campaigns
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in data science. A friendly chat can give you insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and machine learning projects. This is your chance to demonstrate your hands-on experience with Python and SQL, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your past projects and how you used machine learning techniques to solve real-world problems. Confidence is key!
✨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 candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist: Predictive ML for Media Campaigns
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning models, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about predictive modelling and how you can contribute to our Data, Insights & Analytics Team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool projects related to media campaigns or predictive analytics, make sure to mention them! We’re keen to see your hands-on experience, so include links to your GitHub or any relevant portfolios.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our flexible and growth-oriented team!
How to prepare for a job interview at Choreograph LLC
✨Know Your Tech
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've implemented machine learning models, as this will show your hands-on experience and technical prowess.
✨Understand Predictive Modelling
Familiarise yourself with different predictive modelling techniques and be prepared to explain how they can be applied to media campaigns. This will demonstrate your understanding of the role and how you can contribute to the team.
✨Collaborate Like a Pro
Since this role involves working with Google Cloud experts, think about examples from your past where you've successfully collaborated with others. Highlight your teamwork skills and how you can bring value to cross-functional projects.
✨Embrace the Company Culture
Research the company’s values and their approach to employee growth. Be ready to discuss how you align with their culture and how the flexible hybrid work environment suits your working style. This shows you're not just a fit for the role, but for the company too.
