Marketing services • Direct Marketing Agency • Digital agency • Information Technology • Marketing Technology
6 days ago
Marketing services • Direct Marketing Agency • Digital agency • Information Technology • Marketing Technology
• The Expert Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R). • The Data Scientist’s responsibilities include collaborating with internal and external stakeholders to identify insight requirements and applying creativity to test hypotheses, prepare data, build models, analyze and visualize results, and integrate the solution into innovative data products. • The Data Scientist will be a champion of the latest and greatest Machine Learning and Artificial Intelligence technologies, with a specialization in Generative AI. • Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products. • Specialize in building data pipelines, developing machine learning models, and performing advanced analytics and statistical analysis. • Collaborate with internal and external stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue. • Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation. • Work with Product and Engineering teams to transition development projects to production systems. • Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences. • Provide mentorship and guidance to data scientists where necessary.
• Expert-level experience with Adobe’s analytics tools (e.g., Adobe Journey Analytics ) and third-party SaaS tools (e.g., Databricks, R). • Experience with applying statistics and data science tools on large datasets. • Deep knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques. • Specialization in Generative AI. • Expert at model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches. • Extensive experience with data preparation (normalization, scaling, etc.) for modeling. • Proficient in Python/R, APIs, Excel, LLMs, SQL, and Power Automate. • Exposure to Spark/PySpark systems in a distributed computing environment. • SQL mastery, including techniques for writing efficient code over large datasets. • Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models. • Excel at handling both structured and unstructured data. • Strong analytical skills and proven track record in deploying innovative SaaS solutions in the tech industry. • Attention to detail and time management delivering high-quality work for multiple projects across several engagements while meeting deadlines.
Apply NowDecember 8
Join a fintech leader as a Data Scientist focusing on Generative AI and Machine Learning. Lead innovative projects enhancing financial solutions in Mexico.