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For Companies At a Glance
- Tasks: Drive data analysis and support privacy strategies for compliance and innovation.
- Company: Join a leading tech company focused on privacy and compliance.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Why this job: Make an impact on privacy initiatives while collaborating with top engineers.
- Qualifications: 8+ years of experience with SQL, Python, and analytical problem-solving.
- Other info: 12-month contract with potential for extension.
The predicted salary is between 72000 - 108000 £ per year.
Privacy Data Scientist
Location: Remote in UK
Rate: up to £450 per day PAYE
Duration: 12 Months
About the Role:
Join our Privacy Areas team as a Privacy Data Scientist , where you will drive data analysis and support privacy strategies to ensure compliance while enabling innovation. Your work will influence key privacy initiatives and help scale privacy compliance across the company.
Key Responsibilities:
- Analyze data using machine learning , statistics , and programming to drive insights and product improvements.
- Collaborate with engineers to translate prototypes into privacy-compliant products and services.
- Support Business Intelligence (BI) and data visualization efforts.
- Contribute to compliance initiatives , such as updating privacy policies and monitoring privacy safeguards.
- Develop metrics for privacy impact, compliance, and operational efficiency.
Required Qualifications:
- 8+ years experience with SQL , Python , and/or R .
- 8+ years of experience solving analytical problems and leading data-driven projects.
Preferred Qualifications:
- Experience in Risk Analytics or Compliance .
- Experience in similar tech organizations (e.g., Google, Amazon).
- Bachelor’s degree in Mathematics , Statistics , or a relevant technical field.
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Data Scientist employer: Soda
Contact Detail:
Soda Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in privacy data science. Stay updated on regulations like GDPR and how they impact data analysis. This knowledge will help you demonstrate your expertise during discussions.
✨Tip Number 2
Showcase your experience with SQL, Python, and R through practical examples. Be ready to discuss specific projects where you've used these tools to solve analytical problems or drive insights.
✨Tip Number 3
Highlight any previous work in risk analytics or compliance, especially in tech organizations. This will set you apart as a candidate who understands the unique challenges of privacy in a tech environment.
✨Tip Number 4
Prepare to discuss how you've collaborated with engineers to translate data insights into actionable products. Real-world examples of this collaboration can illustrate your ability to bridge the gap between data science and product development.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8+ years of experience with SQL, Python, and R. Include specific examples of analytical problems you've solved and data-driven projects you've led, especially in the context of privacy compliance.
Craft a Strong Cover Letter: In your cover letter, emphasize your experience in Risk Analytics or Compliance, and how it relates to the role. Mention any relevant work with tech organizations like Google or Amazon to showcase your familiarity with the industry.
Showcase Relevant Skills: Clearly outline your skills in machine learning, statistics, and programming. Provide examples of how you've used these skills to drive insights and product improvements, particularly in privacy-related projects.
Highlight Collaboration Experience: Discuss your experience collaborating with engineers and other teams to translate prototypes into privacy-compliant products. This will demonstrate your ability to work cross-functionally, which is crucial for this role.
How to prepare for a job interview at Soda
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and R in detail. Highlight specific projects where you used these tools to solve analytical problems or drive data-driven decisions.
✨Demonstrate Your Understanding of Privacy Compliance
Familiarize yourself with key privacy regulations and how they impact data analysis. Be ready to discuss how you've contributed to compliance initiatives in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach analyzing data for privacy impact or developing metrics for compliance.
✨Highlight Collaboration Experience
Since the role involves working with engineers and other teams, share examples of how you've successfully collaborated on projects. Emphasize your ability to translate technical concepts into actionable insights.
