Data Scientist- Performance Marketing

Manchester, UK (Hybrid)

Salary Not AvailableMid Level3+ years expFull time

Posted 2 months ago

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Job Summary

Own end-to-end data science delivery from problem framing to implementation, translating business needs into data-driven solutions, with emphasis on experimentation, stakeholder engagement, and scalable, reproducible work.

  • Own end-to-end DS solutions across the full lifecycle.
  • Translate business problems into data stories and apply appropriate modeling.
  • Collaborate with peers and stakeholders to drive impact while building scalable, reusable methods.

Job Description

Own end-to-end data science delivery from problem framing to implementation, translating business needs into data-driven solutions, with emphasis on experimentation, stakeholder engagement, and scalable, reproducible work.

  • Responsible for owning the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.
  • Responsible for working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer value.
  • Responsible for working primarily within the scope of their team to deliver work that informs business decisions for the product / business topic they currently work on, occasionally collaborating across multiple teams.
  • Master’s degree
  • Broad Job Knowledge (3 - 5 years)
  • Experience solving real problems using data mining techniques and with statistical rigor
  • Strong technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark, SQL, Python and/or R.
  • Excellent communication skills
  • Strong skills in translating business problems into data problems
  • Strong data visualization skills
  • Strong skills in storytelling with data
  • Strong knowledge of statistics and experimentation
  • Strong knowledge of data management (engineering, data pipelines, workflows)
  • Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling
  • Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
  • Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
  • Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
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Booking.com

4.1 Glassdoor

A career at Booking.com is all about the journey, helping you explore new challenges in a place where you can be your best self. With plenty of exciting twists, turns and opportunities along the way. We’ve always been pioneers, on a mission to shape the future of travel through cutting edge technology, to make it easier for everyone to enjoy amazing experiences wherever they go. Under a desert sky, or in the heart of a bustling city. Discovering the perfect hideaway, or the perfect paella.When you join us, you’ll be part of a community where taking a different path and trying something new is celebrated and supported. And where making a difference counts. We’re determined to make the world of travel more sustainable, more accessible, and more inclusive, to create a positive impact on a global scale.That’s why we’re always looking for people who search for better solutions, the ones eager to stray off the beaten path to find new ways of doing things.Because at Booking.com it’s more than a job, it’s a journey we’re on together.

Founded in 1996
Amsterdam, North Holland, Netherlands
16K employees (1,306 in marketing)
82% recommend to a friend
76% CEO approval

Traffic Signals

Monthly Visitors
516.5M
Monthly Google Ads Budget
$13.2M
Traffic Source Mix
Search
36.5%
Direct
48.8%
Referral
13.4%
Social
0.3%
Paid
0.7%

Headcount Trend

Current headcount: ~16.2K

Marketing Team

Marketing Team Size
776 (5% of company)
Marketing Roles Posted (Last 30 Days)
1

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