Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. The PeopleCloud Customer platform is a world‑class cloud‑based Customer Data Platform (CDP) fully enabled with a complete Marketing Automated Operating System (MAOS), offering out‑of‑the‑box SaaS and PaaS products including Customer Identity services, deterministic and probabilistic customer record stitching, and marketing machine learning algorithms to deliver personalized activation at scale. The team is looking for a skilled Senior Data Scientist who will mentor, advocate, and transform data into machine‑learning models in a dynamic, busy, and innovative group.
Responsibilities
- Perform hands-on analysis of large volumes of web analytics, transaction, customer data, second and third‑party data. Work with complex data structure, manipulate, cleanse data and perform statistical analysis.
- Design and Implement Machine learning models using Spark ML, Python, Map‑Reduce, Hive, HDFS, Spring, Hibernate and Java.
- Design and implement Deep neural network models using Tensorflow, Pytorch, Keras and Python.
- Create engaging and meaningful data visualizations of findings linked to clear client business impact.
- Develop machine learning pipelines with big data design principles in MS Azure cloud using Azure Data Factory.
- Own end to end implementations of multiple Marketing machine learning models such as Churn, CLV, Propensity, Affinity models.
- Work with a distributed team (onshore and offshore) and work closely with a broadly skilled team of delivery management, business analysts, visual designers, analytics, developers, and QA.
- Work directly with clients to own data science solutions as a member of the COSMOS Cognitive Marketing Intelligence Cloud Platform team.
- Operate as part of the product team to extend the Platform functionality when not supporting client projects.
Requirements
- Experience with large scale distributed databases and computing systems like Hadoop, HDInsight or DataBricks.
- Strong passion for understanding key business problems, bringing together a team to understand data/ instrumentation needs and/or mine through data to unearth deep insights into customer experiences.
- Proven capability to deliver end‑to‑end analyses by asking the right questions, extracting data, and building predictive models to ensure actionable results.
- Expertise in predictive analytics/statistical modeling/data mining/machine learning algorithms and techniques (classification, clustering, regression, multivariate testing).
- Excellent communication & interpersonal skills with an ability to communicate ideas.
- MS in Computer Science, Math, Physics, or equivalent education/professional experience is required.
- 5-10 years of total IT experience with 5+ years in a data science role with demonstrable experience.
- Deep experience in machine learning.
- Strong experience in at least one programming language (i.e. Python, R).
- Understanding and experience working with cloud infrastructure services like Azure and Amazon Web Services.
- Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.).
- Must be self driven, take initiative and want to work in a dynamic, busy and innovative group.
Nice to have
- Exposure to Gen AI infrastructure using RAG. Langchain and agentic workflows is a plus.
- Azure preferred.
Additional details
- About Business Unit: Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new‑age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.
- Job summary: PeopleCloud Customer is a world‑class cloud‑based Customer Data Platform (CDP) fully enabled with a complete Marketing Automated Operating System (MAOS). The PeopleCloud Customer platform provides out‑of‑the‑box SaaS and PaaS products that are fully integrated, including Customer Identity services, Deterministic and Probabilistic Customer Record stitching services and Marketing Machine Learning algorithms and models trained to deliver personalized activation at scale.
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