Senior Data Scientist

Brainlabs is a digital media agency – we’re passionate about using data and tech to craft marketing strategies that drive real business results for clients. Our 1000+ Brainlabbers partner with some of the world’s largest advertisers to do just that.

Our mission is simple, we want to become the world’s largest independent media agency, famous for delivering high performance and accelerating the careers of Brainlabbers whilst we’re at it.

Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture.

As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code.

This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. It’s a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together.

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Job Description

We are seeking a highly skilled Data Scientist with expertise in Market Mix Modeling (MMM) using both Bayesian and frequentist approaches, particularly utilizing tools such as PyMC, LightweightMMM, and Robyn. The ideal candidate will have a strong background in Python programming, statistical analysis, and client-facing experience. Additionally, experience with econometric techniques such as Bayesian regression and Media Spend Optimization (MSO) is highly desirable.

Responsibilities :

• Develop and implement Market Mix Models (MMM) using Bayesian approaches, leveraging tools such as PyMC or LightweightMMM.
• Develop and implement Market Mix Models (MMM) using frequentist approaches, leveraging tools such as Robyn.
• Utilize Python programming skills, including proficiency in object-oriented programming concepts, Pandas, NumPy, and SciPy libraries, to manipulate and analyze large datasets.
• Apply statistical analysis techniques, with a focus on hypothesis testing methods, probability density functions (PDFs), and cumulative distribution functions (CDFs), to derive actionable insights from data.
• Engage directly with clients to understand business requirements, present statistical models and analysis findings, and translate complex concepts into business-friendly presentations.
• Collaborate with cross-functional teams to identify opportunities for Media Spend Optimization (MSO) and contribute to the development and implementation of such projects.
• Stay updated on emerging trends and advancements in data science, Bayesian modeling, frequentist modeling, and econometric technologies, and recommend innovative approaches to address business challenges.

Requirements :

Brainlabs is proud to be an equal opportunity workplace : we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!

Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.