Senior Data Scientist role in the PeopleCloud Customer team requiring expertise in machine learning, deep learning, and big data technologies. Responsibilities include analyzing large datasets, designing and implementing ML and deep neural network models using Python, Spark MLlib, Tensorflow, Keras, and other tools. Develop ML pipelines on MS Azure cloud and own end-to-end marketing ML models like Churn, CLV, Propensity, and Affinity. Experience with distributed computing systems (Hadoop, HDInsight, DataBricks), cloud services (Azure preferred, AWS), and CI/CD tools (Git, Jenkins) required. Must have 6-10 years IT experience with 5+ years in data science, strong programming skills, and excellent communication. Work 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, second and third-party data
Work with complex data structures, cleanse data and perform statistical analysis
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Requirements
Experience with large scale distributed databases and computing systems like Hadoop, HDInsight or DataBricks
Strong passion for understanding key business problems and mining data for insights
Proven capability to deliver end-to-end analyses including predictive models
Expertise in predictive analytics, statistical modeling, data mining, machine learning algorithms and techniques
Excellent communication and interpersonal skills
MS in Computer Science, Math, Physics, or equivalent education/professional experience
6-10 years total IT experience with 5+ years in a data science role
Deep experience in machine learning
Strong experience in at least one programming language (Python or R)
Experience with cloud infrastructure services like Azure and AWS (Azure preferred)
Experience with code repositories and continuous integration tools like Git and Jenkins
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, inclusion, and equal employment opportunities
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