About the job:

- 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.

- So, Tell Me About The Company

- Brainlabs is culture-first

- You've probably heard other companies describe themselves as people, clients, or profit first - but we see people, clients and profit as the building blocks of our ecosystem.

- Culture powers all three and we know that when the ecosystem is balanced, we all win! That's why the culture we cultivate is a culture of winning together.

- To learn more about what it's like to be a Brainlabber, check out our culture code.

What You Do:

- Project Execution & Delivery: Work on end-to-end data science tasks from data prep to model creation.

- Track progress, manage day-to-day work, and support the team in meeting delivery timelines.

- Machine Learning & Advanced Analytics: Develop ML models (regression, classification, clustering, NLP, deep learning, LLMs) for marketing, pricing, and customer insights.

- MLOps & Engineering: Architect and maintain scalable ML infrastructure, CI/CD pipelines, and automated model retraining workflows.

- Ensure data quality, integrity, and efficiency by optimizing data storage, processing, and retrieval.

- Marketing & Attribution Modeling: Design and implement Bayesian Marketing Mix Models (MMM) and multi-touch attribution solutions.

- Causal Inference & Experimental Design: Conduct A/B testing, uplift modeling, and statistical analysis to guide business decisions.

- Demand Forecasting & Price Optimization: Support forecasting work involving seasonality, external factors, and simple price checks.

- Cloud & Data Engineering Support: Leverage GCP, AWS, or Azure to deploy scalable machine learning pipelines.

- Design scalable, efficient, and secure data models, structures, and governance frameworks to support business needs.

- Business Communication: Translate complex insights into actionable recommendations, develop ROI frameworks, and present to executives.

- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, ensuring alignment across teams.

- Team Collaboration & Mentorship: Assist junior Specialists with basic guidance and share working tips.

- Work with the DS team to support shared tasks.

- Process Adherence: Follow standard methods, naming rules, and data handling steps.

- Support documentation and project tracking.

- Continuous Learning: Learn new ML, cloud, and MLOps tools as needed for project growth.

Who You Are:

- Overall 5 to 7 years experience.

- Python Programming (4-6 years): Strong coding skill with pandas, NumPy, scikit-learn, TensorFlow/PyTorch basics

- Machine Learning & LLMs (3-5 years): Experience with core ML, simple deep learning, and basic LLM usage in projects

- SQL & Data Warehousing (3-4 years): Work with BigQuery, Snowflake, or Redshift for data extraction and joins

- MLOps & CI/CD (2-3 years): Exposure to Docker, Kubernetes basics, MLflow, Airflow, and simple pipeline runs

- Marketing & Attribution Modeling (2-3 years): Good base in MMM inputs, causal checks, and attribution support

- Market Mix Modelling - MMM (3-5 years): Work on Meridian, Robyn, PyMC algorithms

- Team Management: Manage and guide 1 to 2 team members

- Marketing Analytics Domain: Work on marketing analytics based use cases such as Spend Optimization, Lead Scoring, MTA, Market Basket Analysis, CLTV Analysis, Incrementality Lift Testing etc. Cloud Platforms (2-3 years): Experience running workloads on GCP, AWS or Azure

Qualification:

- Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, or related field).

Good To Have Skills:

- Good understanding of advertising KPIs

- Experience with ranking or basic recommendation work

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.

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

- Thank you for your interest in Brainlabs! We look forward to getting to know you!