Senior Associate, Data Scientist - Applied AI (Financial Services)
$136k - $155k • Plano, TX • Full-time
Posted 29d ago
About the job
Data is central to our operations, and as a Data Scientist on our Applied AI team, you will be at the forefront of leveraging cutting-edge machine learning technologies. You will work with billions of customer records to unlock opportunities that enhance people's financial lives. This role involves partnering with a cross-functional team to deliver innovative Generative AI solutions, utilizing a broad technology stack including Python, PyTorch, LangChain, AWS, Spark, and Vector Databases. You will be responsible for building and deploying Generative AI models and pipelines, from initial concept through fine-tuning and evaluation, translating complex technical work into tangible business outcomes.
Responsibilities
- Partner with data scientists, machine learning engineers, and product managers to deliver Generative AI solutions.
- Leverage technologies like Python, PyTorch, LangChain, AWS, Spark, and Vector Databases to build Multi-Agent systems and RAG pipelines.
- Build Generative AI models and pipelines through all phases of development, including context engineering, fine-tuning, evaluation, validation, and deployment.
- Translate complex technical work into tangible business goals.
Requirements
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 2 years of data analytics experience, OR Master's Degree in a quantitative field or an MBA with a quantitative concentration.
- Master’s Degree in a STEM field, or PhD in a STEM field.
- At least 2 years of experience in Python, Scala, or R.
- At least 2 years of experience with machine learning.
- At least 2 years of experience with SQL.
- At least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP.
- Innovative mindset, continually researching and evaluating emerging technologies.
- Creative problem-solver, comfortable defining and tackling big, undefined problems.
- Technical proficiency with open-source languages and cloud computing platforms.
- Statistically-minded with experience in model building, validation, backtesting, clustering, classification, sentiment analysis, time series, and deep learning.
Benefits
- Performance-based incentive compensation (cash bonuses and/or long-term incentives).
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits.