Senior Data Scientist Client Analytics

Own end-to-end development and deployment of marketing machine learning models such as Churn, CLV, Propensity, and Affinity models on cloud platforms.

Perform hands-on data analysis and engineering on large-scale web, transaction, and customer data using big data technologies and machine learning frameworks.

Collaborate with distributed teams and clients to build, extend, and operationalize predictive analytics solutions and platform capabilities.

6-10 years total IT experience with 5+ years in a data science role involving predictive analytics and machine learning.

Master's degree in Computer Science, Mathematics, Physics, or equivalent education/experience.

Proficiency in Python and experience with Spark MLlib, Tensorflow, Keras, and big data tools (Hadoop, Hive, HDFS).

Experience with cloud infrastructure services, preferably Microsoft Azure, and code repositories/CI tools like Git and Jenkins.

Experienced data scientist with deep expertise in machine learning and big data engineering for marketing or customer analytics domains.

Comfortable working in dynamic, distributed teams collaborating across roles including delivery, analytics, and development.

Strong operational ownership mindset: end-to-end model development, client engagement, and platform feature extension.