Senior Specialist, Data Science

We are Brainlabs, the High-Performance media agency, on a mission to become the world's biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And what’s our formula? Superteams of Brainlabbers, fueled by data and enabled by technology.

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.

You can read The Brainlabs Culture Code in full here.

Location: [Insert Location or "Remote"]
Team: Data Science
Type: Full-time

We're looking for a Senior Machine Learning Engineer to join our growing Data Science team. This role is perfect for someone with 4–6 years of experience who thrives in building end-to-end machine learning solutions—from data acquisition and model development to deployment and monitoring in production. You’ll work on large-scale, complex datasets and partner closely with engineering, DevOps, and product teams to create impactful, scalable solutions.

Data Acquisition & Preprocessing

• Design and manage scalable web scraping pipelines to acquire data from diverse sources.

• Develop advanced data cleaning, transformation, and feature engineering processes.

• Implement data quality checks and monitoring systems to ensure reliability throughout the pipeline.

Machine Learning Development

• Build, evaluate, and optimize machine learning models (e.g., regression, classification, clustering, deep learning) tailored to real-world business challenges.

• Apply statistical rigor in model selection, validation, and interpretability.

• Ensure models are robust, scalable, and production-ready.

• Stay up to date with the latest research and best practices in ML, AI, and statistics.

Deployment & Monitoring

• Take full ownership of model deployment into production environments.

• Design and maintain monitoring systems to detect data drift, model degradation, and system anomalies.

• Collaborate with infrastructure and DevOps teams to implement CI/CD pipelines and ensure high availability and performance.

• Proactively troubleshoot and resolve production issues.

Cross-Functional Collaboration

• Work with product managers, engineers, and stakeholders to align ML initiatives with business goals.

• Communicate complex concepts and results to technical and non-technical audiences.

• Document models, pipelines, deployment processes, and performance dashboards.

• Mentor junior data scientists and contribute to a culture of knowledge sharing and innovation.

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✅ What You Bring

• Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related quantitative field.

• 4–6 years of experience in building and deploying ML models in production.

• Strong foundation in machine learning theory, statistics, and data-driven decision-making.

• Expert-level skills in Python and key libraries: pandas, NumPy, scikit-learn, TensorFlow or PyTorch.

• Hands-on experience with web scraping tools and large-scale data ingestion.

• Familiarity with cloud platforms (AWS, GCP, or Azure) and ML-focused services.

• Working knowledge of Docker, Kubernetes, and containerized deployments is a big plus.

• Exceptional problem-solving, communication, and team collaboration skills.

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• Work on high-impact projects with real-world applications.

• Collaborate with a smart, driven, and friendly team.

• Contribute to shaping the ML infrastructure and roadmap of a growing organization.

• Competitive compensation, benefits, and flexible work options.

 

What happens next?

We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.

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Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are 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.