Brainlabs - Junior Manager, Data Science

• A Rigorous and Curious Data Scientist: You have hands-on experience with Marketing Mix Modelling or related statistical modelling, including working knowledge of Meridian, Robyn, and/or PyMC, and you care deeply about getting the analysis right — not just delivering an output. • A Rigorous and Curious Data Scientist: • Technically Proficient: You are experienced in Python and comfortable working with GCP, with a solid understanding of Bayesian statistics and marketing attribution concepts. • Technically Proficient: • A Practical AI User: You use AI tools in your day-to-day work, with a habit of exploring how they can improve your outputs or speed up your workflow. • A Practical AI User: • Developing as a Communicator: You are building your ability to explain technical concepts clearly to non-technical audiences, and take feedback on how to make your outputs more accessible. • Developing as a Communicator: • Detail-Oriented: You take pride in the accuracy and rigour of your work, and apply a consistent quality check to everything you deliver. • Detail-Oriented: • Curious and Motivated: You are genuinely interested in the intersection of data science and marketing effectiveness, and proactively develop your skills beyond what the immediate job requires. • Curious and Motivated: • How you succeed • How you succeed • Modelling Quality: The workstreams you own within MMM and other projects meet the quality standard set by the Director, with outputs that are accurate, well-documented, and reproducible. • Modelling Quality: • Clear Output Communication: The summaries and narratives you draft require minimal revision before client presentation, and you can explain your methodology clearly when asked. • Clear Output Communication: • AI Adoption: You can demonstrate at least one documented AI application per month that improved your workflow or the quality of your output. • AI Adoption: • Delivery Reliability: You hit agreed deadlines on your workstreams and raise risks early when timelines are at risk. • Delivery Reliability: • Practice Contribution: You contribute at least one improvement or piece of documentation to the data science team each quarter, evidenced by adoption or feedback from the Director. • Practice Contribution: • What happens next? • 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. 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.