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For Companies At a Glance
- Tasks: Join a dynamic team to enhance user experience through data-driven insights and strategic improvements.
- Company: Be part of a leading social network focused on user integrity and innovative solutions.
- Benefits: Enjoy flexible work options, competitive perks, and the chance to make a real impact.
- Why this job: This role offers a unique opportunity to shape user experiences while collaborating with diverse teams.
- Qualifications: Master’s degree in a relevant field and expertise in data analysis and programming languages required.
- Other info: Ideal for those passionate about data and improving user interactions on a large scale.
The predicted salary is between 36000 - 60000 £ per year.
Overview of the role
- Our client is looking for someone to cover Appeals for account enforcements, when we take an action on a user or advertiser’s account.
- They are looking for a seasoned data scientist to support both strategically and operationally.
- You will work with Engineers, Designers and Product Managers to:
- Improve the mechanisms that exist to appeal (Consider account disables, feature limits and lightweight enforcements).
- Identify how we meet the needs and expectations of our users and what opportunities there are to improve.
- Balance reducing harm on the platform with protecting voice and revenue, alongside regulation and cost guardrails.
- Align the business on your improvement ideas and support their implementation.
Responsibilities of the role
- Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of client products.
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
- Inform, influence, support, and execute our product decisions and product launches.
- May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
- Perform data analyses on tactical (feature-level) and strategic (team objectives and goals) work to drive team direction.
- Develop strategic narrative based on analytical insights and priorities.
Skills & Attributes
- Excited about giving millions of users a day a more supportive integrity experience when they face client enforcements.
- Excited about optimising systems for scale at the intersection of user facing experiences and platform capabilities while balancing multiple competing priorities.
- Enjoys thinking through how we best form partnerships with other teams and how scalable solutions should be governed effectively.
- Enjoys getting their hands dirty to understand data and system disconnects and can drive insightful root-cause-analysis.
- Passionate about building solid and scalable measurement solutions.
Qualifications & Experience
- 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.
62969 – Data Scientist employer: Career Moves
Contact Detail:
Career Moves Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 62969 – Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL and Python. Being able to demonstrate your proficiency in these areas during discussions can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your previous experiences with data analysis and how you've applied quantitative techniques in real-world scenarios. Be ready to share specific examples that highlight your problem-solving skills and ability to derive insights from complex data sets.
✨Tip Number 3
Show your enthusiasm for user experience and integrity on platforms. Think about how your work as a data scientist can directly impact user satisfaction and safety, and be prepared to discuss your ideas on improving these aspects.
✨Tip Number 4
Network with professionals in the field, especially those who have experience in similar roles. Engaging with others can provide valuable insights into the company culture and expectations, which can help you tailor your approach when applying through our website.
We think you need these skills to ace 62969 – Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Scientist role. Emphasise your expertise in quantitative analysis, data mining, and any specific tools mentioned in the job description, such as SQL and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for improving user experiences and your ability to balance competing priorities. Mention specific examples of how you've successfully collaborated with cross-functional teams in the past.
Showcase Your Analytical Skills: In your application, provide examples of past projects where you performed data analyses or developed measurement solutions. Highlight your experience with statistical software and any relevant methodologies like A/B testing.
Highlight Your Educational Background: Clearly state your Master’s degree and any relevant coursework or projects that demonstrate your knowledge in Computer Science, Engineering, or related fields. This will help establish your qualifications for the role.
How to prepare for a job interview at Career Moves
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with quantitative analysis and data mining. Bring examples of complex data sets you've worked with and how your insights influenced product decisions.
✨Familiarise Yourself with Relevant Tools
Make sure you are comfortable discussing SQL, Python, and any statistical software you’ve used, like R or SAS. Highlight specific projects where you applied these tools to solve real-world problems.
✨Understand the Business Context
Research the company’s products and their user base. Be ready to talk about how your work as a data scientist can improve user experiences and align with business goals, especially in terms of account enforcement.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you had to balance competing priorities or work with cross-functional teams, and be ready to explain your thought process.
