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For Companies At a Glance
- Tasks: Join our team to analyze data and improve user account appeals.
- Company: Work with a leading tech company known for innovation and impact.
- Benefits: Enjoy remote work flexibility and competitive pay of £400 - £550 per day.
- Why this job: Be part of a high-priority project that shapes user experiences in tech.
- Qualifications: 10-15 years of experience in data science, SQL, and statistical software required.
- Other info: This is a contract role lasting 12 months, starting ASAP.
The predicted salary is between 100000 - 130000 £ per year.
Job details
Posted 10 February 2025
Salary £400 – £550 per day
Location London
Job type Contract
Discipline Data
Reference BH-113337
Contact Name Michelle Sutherland
Job description
Data Scientist – HIRING ASAP
Start date: ASAP
Duration: 12 Months
Location: Remote
Rate: £400 – £550 per day PAYE
Skills:
- 10-15 years’ experience
- Experimentation for user facing products.
- Narrative excellence
- Data querying language: SQL
- 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.
- Ability to write queries.
- Experience working on an app or a website, for Big Technology businesses like Netflix, Amazon, Spotify, etc.
Responsibilities:
- Work with the engineering teams, product managers, design teams, etc.
- We have several teams within Transparency & Appeal and specifically looking for someone to cover Appeals for account enforcements, i.e. when we take an action on a user or advertiser’s account.
- This is our highest priority area, and we are looking for a seasoned data scientist to support us both strategically and operationally.
- You will work with our Engineers, Designers and Product Managers to:
- Improve the mechanisms that exist to appeal (e.g. Consider account disables, feature limits and lightweight enforcement’s)
- Perform quantitative analysis including data mining on highly complex data sets.
- Data querying languages, such as SQL, scripting languages, such as Python, or statistical or mathematical software, such as R, SAS, or MATLAB.
- Applied statistics or experimentation, such as A/B testing, in an industry setting.
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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
Make sure to showcase your experience with experimentation for user-facing products. Highlight any specific projects where you successfully implemented A/B testing or similar methodologies, as this is crucial for the role.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies used by big tech companies like Netflix, Amazon, and Spotify. Being able to discuss these in your conversations will demonstrate your industry knowledge and relevance.
✨Tip Number 3
Prepare to discuss your experience with data querying languages, especially SQL. Be ready to provide examples of complex queries you've written and how they contributed to your previous projects.
✨Tip Number 4
Since this role involves collaboration with various teams, think about examples from your past work where you effectively worked with engineers, designers, and product managers. This will help you illustrate your teamwork skills during discussions.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 10-15 years of experience in data science, particularly focusing on experimentation for user-facing products. Mention any specific projects or roles where you utilized SQL, R, SAS, or MATLAB.
Showcase Narrative Excellence: Since narrative excellence is a key requirement, include examples of how you've effectively communicated complex data insights to non-technical stakeholders. This could be through reports, presentations, or collaborative projects.
Detail Your Technical Skills: Clearly outline your proficiency in data querying languages and statistical software. Provide specific examples of how you've applied these skills in real-world scenarios, such as A/B testing or data mining.
Tailor Your Application: Customize your CV and cover letter to reflect the responsibilities mentioned in the job description. Highlight your experience working with engineering teams, product managers, and designers, especially in high-priority areas like account enforcement.
How to prepare for a job interview at Soda
✨Showcase Your Experience
With 10-15 years of experience required, be ready to discuss specific projects where you've applied your data science skills. Highlight your work with user-facing products and any relevant A/B testing you've conducted.
✨Demonstrate Technical Proficiency
Be prepared to talk about your expertise in SQL and any statistical software like R, SAS, or MATLAB. You might be asked to solve a problem on the spot, so brush up on your querying and statistical analysis skills.
✨Communicate Clearly
Narrative excellence is key for this role. Practice explaining complex data findings in a simple, clear manner. This will show that you can effectively communicate insights to non-technical stakeholders.
✨Understand the Business Context
Research the company and its products, especially how they handle account enforcement and appeals. Being knowledgeable about their operations will help you align your answers with their strategic goals during the interview.
