Associate, Data Science

AVANT

124d • $95,000 - $130,000

About The Position

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!

Requirements

• 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree
• Number of Employees: 501-1,000 employees