Back
Metro location, common Data Scientist title, and known employer produce moderate applicant competition.
Core ML and big-data skills are transferable, though marketing/CDP domain knowledge moderately favors marketing candidates.
Explicit 6-10 years, 5+ years data science, and mandatory ML/cloud tech stack enforce strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end implementation of multiple marketing machine learning models such as Churn, CLV, Propensity, and Affinity models.
Perform hands-on analysis and statistical evaluation of large-scale, complex customer and transaction datasets.
Develop and deploy machine learning and deep learning models and pipelines using technologies like Python, Spark MLlib, TensorFlow, Keras, and big data platforms in Azure cloud.
6-10 years of total IT experience with at least 5 years in a data science role.
MS degree in Computer Science, Math, Physics, or equivalent education/professional experience.
Strong proficiency in machine learning, deep learning, Python, Spark MLlib, TensorFlow, Keras, and big data tech (Hadoop, Hive, HDFS, Azure).
Experience with distributed computing systems (e.g., Hadoop, DataBricks) and cloud infrastructure services (Azure preferred).
Experienced working in distributed, multi-disciplinary teams including delivery management, business analysts, developers, and QA.
Comfortable collaborating directly with clients to own data science solutions and extend product platform functionality.
Demonstrated ability to translate complex data insights into actionable business impact through predictive modeling and data visualization.