Senior Data Scientist- Reading

Overview

In this Senior Data Scientist role, you apply advanced analytics to build and deploy ML models that drive business insights across multiple fintech lines. You will work with a data warehouse and a growing production ML platform to move models into live environments. You’ll collaborate with cross-functional teams to design client-facing use cases and oversee end-to-end pipelines from data processing to production code. Expect a rapidly evolving codebase, cloud-focused infrastructure, and opportunities to mentor teammates while influencing strategic data initiatives.

Responsibilities

• Develop and deploy client-facing ML use cases across multiple business lines
• Oversee end-to-end data science pipelines from model development to production deployment
• Transform use-cases into scalable production code and maintain models in production
• Work with Spark/SQL/Hive to process large data sets and support analytics
• Collaborate with cross-functional teams and communicate findings to non-technical stakeholders
• Mentor and support junior data scientists and analysts
• Run A/B tests to evaluate model performance and impact
• Query internal data stores using SQL to fetch data for analysis

Key requirements

• Hands-on experience deploying and maintaining ML models in production
• Strong data processing with Spark/SQL/Hive on large datasets
• Experience with offline/batch and online/stream data pipelines
• Proficient in Python; proficient in at least one compiled language (Java or C#)
• Understanding of SDLC and building mldl pipelines at scale
• Experience with Hadoop/Spark and big data technologies
• Experience with relational and NoSQL databases
• Ability to communicate findings to non-technical audiences
• Mentoring and supporting junior data scientists and analysts
• Comfort with cloud environments and infrastructure as code

• Strong communication
• Mentorship mindset
• Problem-solving orientation
• Python
• Spark
• SQL

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