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For Companies At a Glance
- Tasks: Lead high-impact data science initiatives and design advanced machine learning models.
- Company: Join a pioneering ad tech company shaping the future of digital advertising.
- Benefits: Enjoy comprehensive health plans, flexible schedules, equity packages, and wellness activities.
- Why this job: Empower yourself to create impactful, data-driven solutions in a collaborative environment.
- Qualifications: 7+ years in data science, strong statistical skills, and proficiency in Python required.
- Other info: Work in a diverse and inclusive workplace with opportunities for continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
Staff Data Scientist
Berlin, Berlin, Germany · London, England, United Kingdom
We shaped the earliest forms of ad tech, and we’re looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that’s where the technical skills of our team make a real difference.
Our exchange handles over 500 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our growing level of scale. Through the transparency of our technology, dedication to innovation and integrity, and long-standing customer relationships, we lead through change.
About The Role:
We’re looking for a Staff Data Scientist who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.
In this role you will lead high-impact data science initiatives that drive innovation and measurable value. You will design and implement advanced machine learning models, lead large-scale projects, and collaborate with cross-functional teams to align solutions with business goals. As a senior technical expert, you will mentor team members, contribute to scaling data science capabilities, and influence the organization’s data strategy. This position combines technical excellence with strategic vision, empowering you to shape impactful, data-driven solutions.
What We’re Looking For:
A pragmatic data science technologist:
- Learn and understand the business vision and market opportunity for the company
- Work backwards from business problems to generate scientific hypotheses to guide development focus and pragmatism
- Use analytical, statistical and database skills to understand large, complex datasets with the aim to increase the programmatic efficiency
- Design, develop, and drive implementation of complex data-centric solutions, including large data set segmentation, transformation, and feature generation
- Clearly articulate research and development hypothesis, decisions and results
- Take part in the process of designing, developing & improving algorithms for automated decision making around programmatic exchange optimization
- Take active part in designing, and driving implementation production performance monitoring frameworks and KPIs
- Work together with ML engineers and architects to develop production grade data centric solutions
- An entrepreneurial spirit with room and expectations to bring innovative ideas to address the problems at hand
Here’s What You Need:
- 7+ years of experience in data science or machine learning environments that requires the combined application of statistical & technical skills
- Experience in data science practices in operational environments and internet scale, i.e – this is an applied position, rather than a solely research focused one
- Strong statistical and research skills with a track record of using a variety of statistical methods (especially classification/prediction and time series models)
- Proven ability to demonstrate and articulate complex results to wide technological audience
- Demonstrated history of enabling advanced data modeling-based guidance for technology development
- Experience in cross functional team cooperation to drive pragmatic technological solutions
- Expert in pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred)
- Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus)
- Familiarity with digital marketing, advertising or analytics is a plus
- Work experience in complex system engineering environments is a plus
- Bachelors or Master’s in mathematics, Computer Science, Engineering, or equivalent
Why You’ll Love Working Here:
- Comprehensive health, dental, and vision plans for you and your dependents
- Paid time off, health days, and personal obligation days plus flexible work schedules
- Competitive retirement matching plans
- Equity packages
- Generous parental leave available to birthing, non-birthing, and adoptive parents
- Annual well-being allowance plus fitness discounts and group wellness activities
- Commuter benefits and discounts, where available
- Employee assistance program
- Mental health first aid program that provides an in-the-moment point of contact and reassurance
- One day of volunteer time off per year and a donation-matching program
- Bi-weekly town halls and regular community-led team events
- Multiple resources and programming to support continuous learning
- A workplace that supports a diverse, equitable, and inclusive environment
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Staff Data Scientist employer: Index Exchange
Contact Detail:
Index Exchange Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist
✨Tip Number 1
Familiarize yourself with the specific challenges and opportunities in the ad tech industry. Understanding the unique problems that our customers face will help you articulate how your experience can directly address these issues during discussions.
✨Tip Number 2
Highlight your experience with large-scale data science projects. Be prepared to discuss specific examples where you've successfully implemented machine learning models or optimized processes, as this will demonstrate your ability to drive impactful initiatives.
✨Tip Number 3
Showcase your collaborative skills by discussing past experiences working with cross-functional teams. Emphasizing your ability to align technical solutions with business goals will resonate well with our focus on teamwork and strategic vision.
✨Tip Number 4
Prepare to discuss your approach to mentoring and scaling data science capabilities within a team. As a senior expert, your ability to guide and influence others is crucial, so be ready to share how you've done this in previous roles.
We think you need these skills to ace Staff Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Staff Data Scientist position. Tailor your application to highlight your relevant experience in data science and machine learning.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 7+ years of experience in data science or machine learning environments. Provide specific examples of projects where you applied statistical methods and technical skills to solve complex problems.
Showcase Technical Skills: Clearly outline your technical skills, especially in Python and libraries like pandas, numpy, and SciKit. If you have experience with Scala or in digital marketing and analytics, be sure to mention that as well.
Demonstrate Collaboration: Since the role involves working with cross-functional teams, include examples in your application that demonstrate your ability to collaborate effectively with others to drive technological solutions.
How to prepare for a job interview at Index Exchange
✨Understand the Business Vision
Make sure to familiarize yourself with the company's business vision and market opportunities. This will help you articulate how your data science expertise can directly contribute to solving their unique challenges.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical methods, particularly in classification, prediction, and time series models. Highlight specific projects where you've successfully applied these skills at scale.
✨Demonstrate Cross-Functional Collaboration
Share examples of how you've worked with cross-functional teams to drive technological solutions. Emphasize your ability to communicate complex results to a diverse audience, showcasing your collaborative spirit.
✨Prepare for Practical Problem-Solving
Expect to engage in discussions about real-world problems and how you would approach them using data science. Be ready to present your thought process and the pragmatic steps you would take to implement solutions.
