Data Science Specialist

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AlmapBBDO

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📱 Media

☁️ SaaS

Media • SaaS

AlmapBBDO is a São Paulo–based full-service creative advertising agency that develops integrated marketing campaigns and branded content for major national and global clients across categories like CPG, finance, automotive, food & beverage, entertainment and tech. The agency produces TV and digital commercials, social and experiential activations, and strategic brand work, and also builds data-driven tools such as SYNTHS — a synthetic-data insights platform leveraging Google AI to inform campaigns. AlmapBBDO is known for high-profile creative work, festival accolades, and large commercial partnerships.

📋 Description

• Work closely with other areas of the agency to understand clients' objectives, goals, and needs • Participate in consulting projects, the development of data products, and the preparation of commercial proposals • Plan the collection of relevant data from different sources, such as internal databases, social media data, and marketing campaign data using web scraping, APIs, ETL, etc. Conduct exploratory analyses to identify patterns, trends, and valuable insights • Use machine learning and statistical techniques to develop predictive models that can be applied to marketing campaigns, e.g., churn prediction, customer segmentation • Plan, execute, and analyze tests and experiments to evaluate the performance of different marketing strategies and propose improvements to marketing campaigns: Marketing Mix Modeling (MMM), attribution models, causal inference • Perform continuous maintenance of developed models, ensuring their accuracy and relevance over time. Update models as needed based on new data and changing business requirements • Communicate data analysis results and insights clearly and effectively to the marketing team and to clients. Present findings in an accessible way, highlighting key discoveries and their implications.

🎯 Requirements

• Education: Degree in Statistics • Prior experience with Marketing Mix Modeling (MMM) and statistical models for marketing is desirable • Proficiency in Python and R • Familiarity with machine learning techniques such as linear regression, logistic regression, decision trees, random forests, neural networks, and clustering algorithms • Ability to explore data, identify quality issues, and effectively visualize and summarize datasets • Knowledge of relational databases and querying skills to extract relevant data from large datasets using SQL • Experience in data cleaning, normalization, data transformation, handling missing values, and outlier treatment • Ability to create clear and compelling visualizations that help communicate insights and analysis results: R, Python, Power BI and/or Looker Studio • Knowledge of natural language processing techniques such as sentiment analysis, text classification, and named entity recognition • Understanding of optimization algorithms for marketing problems, such as campaign optimization, resource allocation, and customer segmentation • Social network analysis: understanding methods and techniques to analyze social network/social media data • Familiarity with basic marketing principles and concepts to understand agency clients' needs and objectives and apply data science in a relevant way • Media metrics (online and offline), acquisition and business metrics, and digital marketing and analytics tools.

🏖️ Benefits

• Hybrid and flexible work model — office visits as needed, with no minimum attendance requirement • Very friendly environment; the team works in partnership with other data areas that total over 70 people • Many opportunities to develop meaningful projects, given Almap's client portfolio and strong client relationships that provide access to diverse internal data.