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- Tasks: Analyse complex data sets to drive product outcomes with engineering teams.
- Company: Join a renowned tech company making waves in the industry.
- Benefits: Enjoy remote work flexibility and a collaborative team culture.
- Why this job: Perfect for those passionate about product analytics and impactful data-driven decisions.
- Qualifications: Master's degree in relevant fields and experience with SQL, Python, and statistical software required.
- Other info: This is a 6-month contract role based remotely or in London.
This excellent role with a very well known Tech company requires someone who has more of a Product Analytics background, working in partnership with product and engineering teams to deliver product outcomes rather than someone who has spent a lot of time building Machine Learning models.
Duration: 6 months
Location: Remote/London
Requirements:
- Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Economics, Physics, Applied Sciences, or a related field.
- Performing quantitative analysis including data mining on highly complex data sets.
- Data querying language: SQL
- Scripting language: Python
- Statistical or mathematical software including one of the following: R, SAS, or Matlab
- Applied statistics or experimentation, such as A/B testing, in an industry setting
- Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.
Data Scientist, Python, Machine Learning, Remote employer: Atrium (EMEA)
Contact Detail:
Atrium (EMEA) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Python, Machine Learning, Remote
✨Tip Number 1
Familiarise yourself with the specific product analytics tools and methodologies used in the tech sector. Understanding how to effectively collaborate with product and engineering teams will set you apart, so consider brushing up on Agile methodologies or product management frameworks.
✨Tip Number 2
Showcase your experience with SQL and Python by preparing examples of past projects where you've used these skills. Be ready to discuss how you've applied quantitative analysis techniques like A/B testing or regression analysis in real-world scenarios.
✨Tip Number 3
Network with professionals in the product analytics field, especially those working in tech companies. Engaging in relevant online communities or attending industry meetups can provide valuable insights and connections that may help you land the job.
✨Tip Number 4
Prepare for potential technical interviews by practising problem-solving questions related to data mining and statistical analysis. Being able to demonstrate your thought process and analytical skills during these discussions can significantly boost your chances of success.
We think you need these skills to ace Data Scientist, Python, Machine Learning, Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product analytics and collaboration with product and engineering teams. Emphasise any relevant projects or roles that showcase your ability to deliver product outcomes.
Highlight Relevant Skills: Clearly list your proficiency in SQL, Python, and any statistical software like R, SAS, or Matlab. Mention specific quantitative analysis techniques you have used, such as A/B testing or regression analysis.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about product analytics and how your background aligns with the role. Use specific examples from your past experiences to demonstrate your skills and achievements.
Showcase Your Educational Background: Since a Master's degree is required, ensure that your educational qualifications are prominently displayed. Include any relevant coursework or projects that relate to data science and product analytics.
How to prepare for a job interview at Atrium (EMEA)
✨Showcase Your Product Analytics Experience
Make sure to highlight your experience in product analytics during the interview. Discuss specific projects where you collaborated with product and engineering teams to achieve product outcomes, as this is a key requirement for the role.
✨Demonstrate Your Technical Skills
Be prepared to discuss your proficiency in SQL and Python. You might be asked to solve a problem or explain how you've used these tools in past projects, so brush up on your technical knowledge and be ready to provide examples.
✨Discuss Quantitative Analysis Techniques
Familiarise yourself with various quantitative analysis techniques such as A/B testing, clustering, and regression. Be ready to explain how you've applied these methods in real-world scenarios, as this will show your analytical capabilities.
✨Prepare Questions for the Interviewers
Have a few insightful questions ready to ask the interviewers about the company's product strategy and how the data science team collaborates with other departments. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
