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For Companies At a Glance
- Tasks: Collaborate with product and engineering teams to analyse data and drive product outcomes.
- Company: Join a renowned tech company known for innovation and excellence.
- Benefits: Enjoy remote work flexibility and competitive pay of £62-65/hour.
- Why this job: Be part of a dynamic team making impactful decisions in the tech sector.
- Qualifications: Master's degree in relevant fields and experience in quantitative analysis required.
- Other info: This is a 6-month contract role with potential for growth.
This excellent role with a very well known Tech company. More details can be provided upon application. We need 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
Pay: £62-65/hour
Location: Remote/London
Minimum Qualifications:
- Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Economics, Physics, Applied Sciences, or a related field.
- Requires knowledge or experience in the following:
- 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 - Product Analytics - Tech Sector employer: Gibbs Hybrid
Contact Detail:
Gibbs Hybrid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Product Analytics - Tech Sector
✨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
Network with professionals already working in product analytics roles within tech companies. Engaging in conversations on platforms like LinkedIn can provide insights into the skills and experiences that are highly valued in this field.
✨Tip Number 3
Showcase your experience with A/B testing and other experimentation techniques during interviews. Be prepared to discuss specific examples of how your analyses have influenced product decisions or outcomes in previous roles.
✨Tip Number 4
Stay updated on the latest trends in data science and product analytics by following relevant blogs, podcasts, or webinars. This knowledge can help you demonstrate your passion for the field and your commitment to continuous learning during discussions with potential employers.
We think you need these skills to ace Data Scientist - Product Analytics - Tech Sector
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 demonstrate your ability to deliver product outcomes.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in this specific role and how your background aligns with the requirements. Mention your experience with data mining, SQL, Python, and any statistical software you've used.
Showcase Relevant Skills: When detailing your skills, focus on quantitative analysis techniques such as A/B testing, clustering, and regression. Provide examples of how you've applied these techniques in real-world scenarios.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Gibbs Hybrid
✨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 crucial 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 analyse a dataset on the spot, so brush up on your technical skills and be ready to showcase them.
✨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 to drive product decisions.
✨Prepare Questions for the Interviewers
Have insightful questions ready for the interviewers about their product analytics processes and team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
