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Mid-level ML data scientist at a known firm in Bangalore with broad required skills, so competition is high.
Core ML skills transfer across industries but marketing/CDP domain experience is preferred, so medium sensitivity.
Explicit 6-10 years, 5+ years data science, and many mandatory ML/cloud tech requirements make shortlisting strict.
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Develop, implement, and own end-to-end marketing machine learning models such as Churn, CLV, Propensity, and Affinity models.
Analyze large volumes of diverse data sources including web analytics, transaction, and customer data using big data tools and cloud technologies, primarily Azure.
Collaborate with onshore and offshore teams and directly with clients to deliver impactful data science solutions and enhance the Cognitive Marketing Intelligence Cloud Platform.
6-10 years total IT experience with minimum 5 years in a data science role with demonstrable experience.
Proficiency in machine learning and deep learning frameworks such as Tensorflow, Keras, PyTorch, and Spark ML; strong programming skills in Python and/or R.
Experience with large scale distributed computing platforms and big data technologies like Hadoop, HDInsight, DataBricks, Hive, HDFS; cloud computing experience preferably with Microsoft Azure.
MS in Computer Science, Math, Physics, or equivalent education/professional experience.
Experienced in building and deploying predictive analytics and machine learning models specifically for marketing/customer analytics use cases.
Comfortable working in a distributed team environment collaborating across multiple disciplines including delivery, business analysis, and QA.
Skilled in translating complex business problems into actionable data science solutions using cloud infrastructure and big data design principles.