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Principal Associate, Data Scientist – AI for Data

SpringCube

Full-time - Principal Engineer

Banking & Financial Services

United States, Los Angeles - California

Published 3 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading financial technology organization is seeking a Principal Associate, Data Scientist to join their AI for Data team. The company leverages advanced analytics and machine learning to transform financial services, delivering personalized experiences and data-driven solutions at scale. The team works across the data lifecycle, innovating AI-enabled features that enhance decision-making and customer value.

Overview
As a Principal Associate, Data Scientist, you will be part of a team driving the next wave of AI innovation. You will operate on massive datasets, develop advanced machine learning models, and deliver insights that improve business outcomes for customers. This role combines technical expertise, creativity, and collaboration to shape the future of AI-driven decision-making.

Responsibilities

  • Partner with cross-functional teams of data scientists, engineers, and product managers to deliver impactful products
  • Utilize a broad technology stack including Python, Conda, AWS, H2O, Spark, and more to extract insights from large numeric and textual datasets
  • Build machine learning models through all stages: design, training, evaluation, validation, and deployment
  • Translate complex analytical concepts into actionable business outcomes
  • Rapidly iterate with researchers and engineers to refine product experience while contributing to platform foundations
  • Work effectively in a fast-paced environment with ambiguity, competing priorities, and deadlines

Ideal Candidate

  • Creative: Excels at defining solutions to large, undefined problems and proposing innovative ideas
  • Technical: Skilled in open-source languages and cloud computing platforms; hands-on experience developing data science solutions
  • Statistically-minded: Experienced with model building, validation, backtesting, clustering, classification, sentiment analysis, time series, and deep learning
  • Data Guru: Comfortable handling “big data,” integrating and analyzing diverse datasets, and uncovering insights to drive data science outcomes

Basic Qualifications

  • Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) with 5 years of data analytics experience, or
  • Master’s Degree in a quantitative field, or MBA with quantitative concentration plus 3 years of experience, or PhD in a quantitative field

Preferred Qualifications

  • Master’s Degree in STEM with 3 years of experience in data analytics, or PhD in STEM field
  • At least 1 year of experience with AWS
  • Minimum 3 years’ experience with Python and SQL
  • Minimum 3 years’ experience with deep learning frameworks (TensorFlow, PyTorch) for large-scale neural network training and deployment
  • Minimum 3 years’ experience in Natural Language Processing, Information Retrieval, Search, Recommendations, and fine-tuning LLMs for specific applications

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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