We are looking for a Senior Data Scientist with strong experience in Machine Learning, Predictive Analytics, Statistical Modelling, and Big Data technologies. The ideal candidate should have hands-on expertise in Python, SQL, PySpark, Spark MLlib, and Azure to develop scalable machine learning models and end-to-end data science solutions.
Key Responsibilities
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Analyze large volumes of customer, transactional, web analytics, and third-party data.
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Perform data extraction, cleansing, manipulation, and statistical analysis using SQL and Python.
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Design, develop, and implement machine learning models using Python and Spark MLlib.
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Build scalable machine learning pipelines using Azure Data Factory and Databricks.
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Develop and deploy predictive models such as Customer Churn, Customer Lifetime Value (CLV), Propensity, and Affinity models.
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Apply machine learning techniques including Classification, Clustering, Regression, and Predictive Analytics.
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Work with distributed computing systems and large-scale datasets.
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Collaborate with business stakeholders and cross-functional teams to translate business problems into data science solutions.
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Maintain code repositories and support continuous integration using Git and Jenkins.
Mandatory Skills
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Strong hands-on experience in Python and Machine Learning.
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Expertise in PySpark and Spark MLlib.
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Strong SQL skills for data processing and analysis.
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Experience in Azure Cloud and Azure Data Factory.
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Experience with Databricks and distributed computing.
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Strong understanding of Statistical Modelling and Predictive Analytics.
Good-to-Have Skills
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TensorFlow, Keras, Deep Learning and Neural Networks.
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AWS Cloud.
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Git, Jenkins and CI/CD.
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Customer Analytics / Marketing Analytics experience.
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Customer Data Platform (CDP) exposure.
Candidate Requirements
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5–9 years of overall analytics experience.
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Strong experience in end-to-end Machine Learning model development.
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Master's degree in Computer Science, Mathematics, Physics, or equivalent professional experience.
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Excellent analytical, communication, and problem-solving skills.
Skills: sql,pyspark,ci/cd,machine learning,azure,python