Associate, Data Science

AVANT-posted 2 months ago
$95,000 - $130,000/Yr
Full-time • Mid Level
501-1,000 employees
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Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference. This person will be a key member of our Data Science team and responsible for the development of numerous kinds of customer lifecycle models. If you are looking for an opportunity to join a great team where you can be yourself, deepen your skills and experiences, and find new areas of inspiration then consider a career at Avant!

  • Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions using different modeling techniques
  • Design and build predictive models to enhance customer experience, reduce risk, improve revenue generation, optimize direct mail targeting, and drive key outcomes throughout the customer lifecycle
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Clean, process and validate data to ensure its quality and integrity for modeling and analysis
  • Conduct feature engineering, select appropriate features and develop robust models using various machine learning techniques
  • Perform ad-hoc analysis and present results in a clear manner to senior management
  • Provide timely and justified recommendations in response to ad-hoc analysis requested by internal groups
  • Proactively collaborate with Data Engineering, ML Operations, Software Development, Credit Risk, Marketing, Legal & Compliance, and other internal groups to implement and monitor models across the customer lifecycle
  • Develop and enhance processes and tools to monitor model performance and input and output data accuracy
  • Master’s or PhD degree in Machine Learning, Computer Science, Statistics, Operations Research or a related STEM fields
  • 2-3 years of professional experience in machine learning or data science within the financial services or fintech industry
  • Strong expertise in machine learning theories and practices (Generalized Linear Model, Support Vector Machine, Random Forest, Gradient Boosting, Deep Learning, etc.)
  • Familiarity with Object-Oriented Design (OOD) concept and functional programming with 2+ years experience writing production-level code
  • Proficiency in Python with experience in the end-to-end development of machine learning models
  • Domain knowledge in credit risk is a plus
  • Advanced in SQL for querying and analyzing large datasets
  • Excellent communication skills, with the ability to present complex concepts and findings clearly to both technical and non-technical audiences, and effectively collaborate with cross-functional teams
  • Strong analytical, problem-solving and critical-thinking skills, with a keen attention to detail and data integrity
  • Experience with ML and data analytics platforms/technologies such as Databricks, AWS (including AI/ML tools) and Looker is a plus
  • Choice of great Medical, Dental, and Vision Insurance Plan options
  • 401(k) match
  • Flexible Time Off
  • Flexible Work Environment - (i.e. Mon/Tues/Thurs in-person)
  • Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program
  • Lunch Allowance (Fooda) and In-office Snacks
  • Summer Fridays
  • Fun In-Office and Virtual Social Events
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