Data Scientist

Trust In SODA; Greater London; Remote; GBP 125,000 - 150,000; Full time

Job summary

An innovative firm is seeking a seasoned Data Scientist to join their team remotely. This role is crucial for enhancing user-facing products through data-driven insights and experimentation. You will collaborate with engineering, product, and design teams to tackle strategic challenges and improve appeal mechanisms. Your extensive experience in statistical analysis, SQL, and A/B testing will play a pivotal role in driving impactful decisions. If you're passionate about leveraging data to influence product direction and user experience, this opportunity is perfect for you.

Qualifications

• 10-15 years’ experience in data science and experimentation.
• Expertise in SQL and statistical software like R, SAS, or MATLAB.

Responsibilities

• Collaborate with cross-functional teams to improve appeal mechanisms.
• Perform quantitative analysis on complex data sets.

Skills

Data querying language: SQL

Statistical software (R, SAS, MATLAB)

Applied statistics or experimentation

A/B testing

Narrative excellence

Ability to write queries

Experience with user-facing products

Tools

Python

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.
• Cover Appeals for account enforcements, i.e., when we take an action on a user or advertiser’s account.
• Support us both strategically and operationally in our highest priority area.
• Collaborate with Engineers, Designers, and Product Managers to improve appeal mechanisms (e.g., account disables, feature limits, and lightweight enforcement).
• Perform quantitative analysis including data mining on highly complex data sets.
• Utilize data querying languages, such as SQL, scripting languages like Python, or statistical/mathematical software such as R, SAS, or MATLAB.
• Implement applied statistics or experimentation, such as A/B testing, in an industry setting.