Executive, Data Science & Analytics

ResponsibilitiesWe’re looking for a curious, driven, and technically capable Executive, Data Science & Analytics to join our growing team. This role is ideal for someone early in their data science journey who’s passionate about learning and applying machine learning techniques to solve real-world media and audience challenges. You’ll support the design and deployment of models that power some of our most exciting projects, including Generative AI, lookalike modeling, recommendation systems, and chatbots—with a strong emphasis on Google Cloud technologies, especially Vertex AI and Gemini.

You’ll be part of a lean data team, which means you’ll get hands-on exposure to the full data science lifecycle—from experimentation to deployment—while making a real impact from day one. Key AccountabilitiesAssist in preparing and cleaning raw data for use in analytical models. Support the design, development, and deployment of machine learning models using tools such as Vertex AI and Gemini. Conduct exploratory data analysis and create visualizations to derive actionable business insights. Work on experimentation and model training for projects such as:

Generative AI assistants and summarizationLookalike audience models for targetingContent recommendation enginesNatural language–driven chatbotsCollaborate with data engineers and product managers to bring prototypes into production environments. Help monitor and evaluate model performance and iterate based on feedback and results. Contribute to automated reporting and dashboarding efforts using BI tools (e. g. , Looker Studio, Tableau). Continuously learn and explore new tools and frameworks within the Google Cloud ecosystem. Requirements2 to 3 years of experience in a data science, analytics, or machine learning–related role. Working Knowledge OfPython, SQL, and data manipulation libraries (e. g.

, Pandas, NumPy)Google Cloud Platform (GCP) services (especially Vertex AI, BigQuery, Gemini)Basic ML algorithms and data modeling techniquesFamiliarity with machine learning concepts such as classification, clustering, regression, recommendation, and NLP. Hands-on experience with any cloud-based ML or AI platform (Vertex AI preferred). Knowledge of Generative AI and LLM-based applications is a strong advantage. Degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. Strong analytical thinking and attention to detail. Self-starter with the ability to work independently and with minimal guidance in a lean team environment.

Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences. Comfortable working in a fast-paced and collaborative environmentOur OfferWork with a young and vibrant team in a fast-paced startup environment, embracing new and exciting challenges daily. Stay ahead of the curve by upskilling your knowledge and adapting to the latest technologies in the field. Experience upgrading career development within the company, unlocking new and exciting opportunities. Enjoy an attractive remuneration package that rewards your dedication and commitment. Benefit from flexible working arrangements, including a hybrid mode setup.

Engage in monthly team events/activities that foster camaraderie and create lasting memories. Join a team that values work-life balance and supports you in finding the perfect equilibrium. If you think you fit for the role above, do drop a copy of your CV/Resume, together with an introduction email telling why are you interested for the role above, notice period (if applicable) and expected salary to career@revmedia. my