Senior Data Scientist

We are looking for a Senior Data Scientist to contribute to the development of solutions for digital marketing use cases through statistical methods, data mining and data engineering, working closely with the Analytics, Media Account Management, and Technical Solutions Engineering teams.They will be a data specialist with solid experience in the implementation of propensity models, segmentation analysis, churn modeling, recommendation systems, and descriptive analytics.They will participate in all stages of research, development, and execution of projects for the assigned client, including project definition, data discovery, data engineering, model development and/or data mining, evaluating options, and making recommendations. This role is based in Buenos Aires. We work in a hybrid environment in our offices in Colegiales, Capital Federal Responsibilities Nurture client understanding of the importance of building & testing data-driven strategies. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Use statistical analysis and machine learning libraries (R Stats, Python StatsModels, scikit-learn, etc.) to create models that quantify the influence of online activities on offline conversions. Deploy cloud resources (Microsoft Azure, AWS, GCP or other) to perform analysis on large data sets. Create ML pipelines models from data-wrangling to getting it into production. Utilize data visualization techniques to explain data and models to clients and internal teams (Power BI, Tableau, Looker, etc.). Mine data to support analytical projects and prepare data to support the development of information models to prove or disprove project hypotheses. Design and manage experiments to ensure proper execution, data cleanliness, and statistical significance of results. Act as a consultative resource to help clients understand the quality of their internal testing processes. Participate in discovery workshops, feasibility analyses, project planning, estimations, and related activities. Manage projects, including defining and overseeing deadlines, maintaining roadmaps, setting priorities, and ensuring the timely delivery of project milestones. Qualifications MSc or higher in a quantitative STEM subject such as Computer Science, Mathematics and Physics. Proven experience articulating, translating, and solving business problems through data. Hands‑on experience in model deployment, governance, and workflow optimization (MLOps). 3+ years of experience in data science (statistical modeling, machine learning for forecasting, classification and optimization) Predictive modeling Experience analyzing large data sets with the Python or R data ecosystem. Experience using large databases (SQL, Snowflake, BigQuery or similar). Ability to explain the analytical methods and results to non‑technical stakeholders to drive data‑driven decision making. Willingness to both teach others and learn new techniques. Experience with digital analytics platforms (Google/Adobe Analytics) and measurement solutions in the digital advertising industry, preferably with exposure to sectors such as retail, financial services/retail banking, insurance, telecommunications, automotive, or consumer packaged goods (CPG). A set of certifications or work experience in cloud vendors (GCP, AWS, Azure). Experience using Power BI, Tableau, Looker, or similar. About Monks Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise‑grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition. Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019‑23), ranks among Cannes Lions' Top 10 Creative Companies (2022‑23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020‑24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021‑24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023. We are an equal‑opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us. Interested?Apply for this job At Monks, we are committed to protecting your personal information. As part of our recruitment process, we collect and process personal data to evaluate your application and communicate with you. To understand how we handle your information, including the types of data we collect, how we use it, and your rights, please read our Monks Candidate Privacy Notice . We encourage you to review this notice to ensure you are fully informed about how your data will be managed during your application process. Monks does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. #J-18808-Ljbffr