What are the responsibilities and job description for the Data Scientist position at Pipl?
The position :
As a Data Scientist, you will collaborate with internal teams and our clients to delve into, grasp, and apply data and insights effectively for trust and fraud applications. This role demands a proactive approach to developing, testing, and optimizing machine learning models, ensuring performance excellence and technical accuracy. As a critical team member, you'll be instrumental in creating application specifications and documentation and conveying complex concepts to internal and external stakeholders.
We’re looking for a thoughtful, curious, and resourceful Data Scientist to join our growing team. You’re comfortable presenting insights to internal and external customers and enjoy continual learning, digging into data, understanding fraud, and applying your programming and machine learning skills. This is a hybrid position with 1-2 days in office and occasional company meetings in person.
What you’ll do :
- Work closely with internal and external experts to acquire, comprehend, validate, and utilize data, transforming it into actionable business intelligence.
- Develop, test, and deploy robust machine learning models, ensuring their efficacy and efficiency in real-world applications.
- Actively troubleshoot and refine customer-focused software solutions, maintaining a continuous improvement mindset.
- Identify and resolve application performance issues, focusing on streamlining and optimization.
- Architect, develop and deploy models and algorithms using customer, open source, and proprietary data; assess model quality, and validate and iterate on those models
- Own the process of integrating customer data, analyzing it using our methodology and your data instincts, and make it deliver value to the customer
- Evaluate the effectiveness and accuracy of public and private data sources, choose the right ones for our platform, and help deploy them
- Help design and automate our customer dataset analysis and insights delivery process, to smoothly handle a wider variety and higher velocity of data
- Act as the technical bridge between the customer and the product, making our tools useful, relaying product feedback, and customizing to a client’s needs where necessary
- Work with our clients in a consultative capacity, learning about their particular needs and being their advocate both internally and externally.
You are :
Extra points :
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