Data Scientist II

Finance of America

18h

About The Position

Finance of America helps homeowners 55+ access the equity they’ve built while staying in full control of their home and their financial future. Through a range of reverse mortgage solutions, we help customers shape the retirement they’ve earned while continuing to evolve how we serve and work together. Joining Finance of America now means stepping into a period of momentum and growth, with teams actively shaping what comes next and opportunities to make an impact and grow your career. Responsible for developing, implementing, and optimizing advanced analytics and machine learning models to support data-driven decision-making across the organization. Applies statistical analysis, predictive modeling, and data exploration techniques to solve business problems, generate insights, and improve performance across functions such as marketing, operations, and risk.

Requirements

Minimum of 3 years of experience as a Data Scientist or Data Analyst; financial technology or mortgage industry experience preferred.
Proficiency in data analysis tools and programming languages such as Python, R, or SQL.
Experience with business intelligence tools such as PowerBI.
Strong analytical thinking and problem-solving skills with business acumen
Knowledge of machine learning, data mining, and statistical modeling techniques.
Experience working with large datasets and data warehousing concepts.
Excellent written and verbal communication and presentation skills.
Bachelor's Degree or comparable qualifications
Data Science, Computer Science, Statistics, Mathematics, or related field.

Nice To Haves

financial technology or mortgage industry experience preferred.
Master’s degree

Responsibilities

Identifies and evaluates data sources and collaborates with BI engineers to automate data collection processes.
Performs preprocessing, cleansing, and validation of structured and unstructured datasets.
Analyzes complex datasets to identify trends, patterns, and actionable insights.
Develops and presents data visualizations and reports to communicate findings to stakeholders.
Proposes data-driven solutions and strategies to address business challenges.
Collaborates with cross-functional teams including engineering, analytics, and product development.
Develop, implement, and maintain statistical and machine learning models to address business challenges and improve decision-making.
Ensures data integrity, accuracy, and consistency across analyses.
Performs other duties as assigned.