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Data Scientist - Python/SQL (3-5 yrs)
Discoveries Quintessential
posted 5d ago
Key skills for the job
Job Title : Data Scientist
About the Role :
This role involves developing advanced solutions, collaborating across teams, and solving complex problems to create cutting-edge credit products.
Ideal for professionals eager to work on early-stage products and embrace continuous learning.
Key Responsibilities :
- Design, build, and optimize credit models for unsecured consumer credit products, collaborating with risk, business, and engineering teams.
- Analyze complex datasets, perform A/B testing, and extract actionable insights to support business strategies.
- Leverage advanced tools and new data sources to develop creative solutions and maintain cutting-edge credit systems.
- Work closely with product managers, business analysts, and backend engineers to implement and monitor models and decisioning processes.
- Mentor data scientists and guide the development of analytical capabilities.
- Design experiments to evaluate customer behavior and validate hypotheses.
Minimum Qualifications :
- Bachelor's degree in a quantitative field (e., Data Science, Mathematics, Statistics, Computer Science, or Engineering).
- 3+ years of experience developing scorecards for consumer credit products.
- Proficiency in Python, SQL, and experience with AWS.
- Strong communication skills to articulate analytical concepts effectively.
- Proven ability to independently manage projects and collaborate across teams.
Preferred Qualifications :
- Experience with machine learning and statistical modeling.
- Familiarity with MLOps and data engineering processes.
- Self-motivated with a passion for continuous learning and innovation.
About You :
- You're a results-driven problem solver with a passion for turning challenges into opportunities.
- You thrive in a fast-paced environment, adapt to changing contexts, and are eager to build something from the ground up.
- This version combines similar statements, removes redundancies, and maintains professionalism while keeping the description concise and impactful
Functional Areas: Other
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