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