Senior Specialist - Data Engineering
About this role
Job Summary
Seeking a Senior Specialist with 7 to 11 years of experience in Python and Data Science to develop and deploy advanced datadriven solutions that drive business insights and decisionmaking
Job Description
Utilize advanced Python programming skills to analyze and interpret complex datasets Design develop and implement sophisticated data science models and algorithms aligned with business goals Work extensively with both structured and unstructured data to identify meaningful trends and patterns Perform data cleaning preprocessing and feature engineering to ensure highquality datasets for analysis Collaborate effectively with crossfunctional teams to translate business requirements into scalable technical solutions Stay current with emerging trends tools and best practices in Python and data science to continuously improve solutions Apply computational linguistics and language engineering techniques for natural language processing tasks Evaluate and optimize model performance using metrics such as Precision Recall F1score and Accuracy Research and implement prompt engineering techniques for Generative AI use cases Leverage SQL and Python for data processing model validation and automation activities
Roles and Responsibilities
Develop and deploy scalable and efficient data science models using Python to address realworld business challenges
Conduct exploratory data analysis to extract actionable insights supporting strategic initiatives
Validate optimize and maintain models to ensure accuracy efficiency and reliability
Analyze conversational data and model telemetry to identify data quality gaps and performance trends
Communicate complex findings and recommendations clearly to stakeholders through comprehensive reports and presentations
Mentor and guide junior team members fostering knowledge sharing and skill development within the team
Ensure compliance with data governance security and regulatory standards throughout the project lifecycle
Collaborate crossfunctionally with ML engineers software engineers UX researchers product teams and business stakeholders across model development validation and production implementation
Report classifier performance KPIs defects and optimization opportunities
Continuously research emerging NLP Generative AI and large language model techniques to advance enterprise conversational experiences
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