At a Glance
- Tasks: Analyse survey data and develop advanced statistical models for impactful research.
- Company: Join Our Common Home, a global leader in research and analytics.
- Benefits: Flexible part-time hours, competitive pay, and the chance to work on meaningful projects.
- Other info: Ideal for those seeking a balance between work and study with growth opportunities.
- Why this job: Make a difference with your analytical skills while working in a supportive team.
- Qualifications: 4-7 years of experience in quantitative analysis and proficiency in SPSS and R.
The predicted salary is between 30000 - 40000 € per year.
Our Common Home is seeking an experienced Quantitative Analyst to join their global research team. This role involves advanced statistical modelling and data analysis across various projects.
Responsibilities include:
- Data cleaning
- Exploratory analysis
- Developing cluster and classification models using survey data
The ideal candidate will have 4-7 years of experience, proficiency in SPSS and R, and a strong documentation habit. This position is part-time, approximately 3-4 days per week, with a focus on delivering rigorous analytical outputs.
Part-Time Survey Data Scientist: Segmentation & ML in London employer: Our Common Home
Our Common Home is an exceptional employer that values innovation and collaboration within a supportive work culture. As a part-time Survey Data Scientist, you will enjoy flexible working hours while contributing to impactful research projects that drive meaningful change. With opportunities for professional growth and a commitment to employee well-being, this role offers a unique chance to thrive in a dynamic global team dedicated to making a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Part-Time Survey Data Scientist: Segmentation & ML in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. Sometimes, a friendly nudge can lead to a hidden gem of a job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with statistical modelling and data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SPSS and R skills. Be ready to discuss your experience with data cleaning and exploratory analysis, as well as how you've tackled similar projects in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. It shows initiative and gives us a chance to see your enthusiasm firsthand.
We think you need these skills to ace Part-Time Survey Data Scientist: Segmentation & ML in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with SPSS and R in your application. We want to see how you've used these tools in past projects, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences.
Document Your Process:Since we value strong documentation habits, include examples of how you’ve documented your work in previous roles. This shows us that you understand the importance of clear communication in data analysis.
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!
How to prepare for a job interview at Our Common Home
✨Know Your Stats
Brush up on your statistical modelling skills, especially in SPSS and R. Be ready to discuss specific projects where you've applied these tools, as this will show your practical experience and understanding of the role.
✨Showcase Your Documentation Skills
Since strong documentation is key for this position, prepare examples of how you've documented your analysis processes in the past. This could include reports, code comments, or even presentations that highlight your attention to detail.
✨Prepare for Data Challenges
Expect questions about data cleaning and exploratory analysis. Think of a few challenging datasets you've worked with and be ready to explain your approach to tackling issues like missing data or outliers.
✨Cluster and Classify with Confidence
Be prepared to discuss your experience with cluster and classification models. You might even want to walk through a case study where you successfully implemented these techniques, showcasing your analytical thinking and problem-solving skills.
