Senior Data Scientist role focused on designing and implementing machine learning and deep learning models for a cloud-based Customer Data Platform. Responsibilities include analyzing large datasets, cleansing and manipulating data, building predictive models, creating data visualizations, and developing ML pipelines on MS Azure. Requires 6-10 years IT experience with 5+ years in data science, strong expertise in Python, Spark MLLib, Tensorflow, Keras, Pytorch, and big data technologies like Hadoop and Hive. Experience with cloud services (Azure preferred) and CI/CD tools (Git, Jenkins) is required. The role involves working with distributed teams and clients to deliver data science solutions and extend platform functionality.
What you'll do
Perform hands-on analysis of large volumes of web analytics, transaction, customer data, second and third-party data
Work with complex data structures, manipulate and cleanse data, perform statistical analysis
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
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 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 Gen AI infrastructure using RAG, Langchain, and agentic workflows (plus)
Collaborate with distributed teams including delivery management, business analysts, visual designers, analytics, developers, and QA
Work directly with clients to own data science solutions as part of the COSMOS Cognitive Marketing Intelligence Cloud Platform team
Extend platform functionality when not supporting client projects
Requirements
6-10 years of total IT experience with 5+ years in a data science role
Strong machine learning and deep learning background
Proficient in Python, Spark MLLib, Tensorflow, Keras, ML algorithms and Deep Neural Networks
Experience with large scale distributed databases and computing systems like Hadoop, HDInsight or DataBricks
Experience working with cloud infrastructure services like Azure and AWS (Azure preferred)
Experience working with code repositories and continuous integration tools like Git and Jenkins
MS in Computer Science, Math, Physics, or equivalent education/professional experience
Excellent communication and interpersonal skills
Strong passion for understanding key business problems and mining data for insights
Tech stack
PythonSpark MLLibTensorflowKerasDeep Neural NetworksBig DataMap-ReduceHiveHDFSSpringHibernateJavaPytorchMS AzureAzure Data FactoryGen AIRAGLangchainHadoopHDInsightDataBricksRAmazon Web ServicesGitJenkins
Benefits
Employee well-being focusCollaborative work environmentOpportunities for growth through learning, development and career advancementInnovation-driven cultureWork-life balance and flexibilityDiversity and inclusion commitment
Apply now
Ready to take the next step in your career? Click the button below to continue to the application process.
