On site
Full Time
Job Description
Job Responsibilities: • Develop and implement advanced statistical models to analyze large datasets
• Collaborate with cross-functional teams to identify opportunities for process improvement based on data analysis
• Present findings and recommendations to senior management in clear and concise reports
• Stay updated with the latest advancements in data science and machine learning techniques
Job Qualifications:
Education: Bachelor’s degree in Computer Science, Statistics, Mathematics or related field; Master’s preferred
Experience: 5 – 10 years of experience working in tech industry and 3 –
5 years of experience in a data engineering and/or data analysis or data science
role, ideally in the financial services industry
Skills: Proficiency in Python/Spark to code complex data
engineering use cases; Experience with machine learning libraries such as scikit-learn, TensorFlow. Experience in data engineering tools such as Hive/Impala,
Oozie, Hadoop, etc.
Strong understanding of statistical analysis and machine learning algorithms
Experience in deploying and scaling ML/AI models
Excellent communication skills, both written and verbal
Ability to work independently and as part of a team
Additional Requirements
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