Data Scientist II

Finance of America

Data Scientist II responsible for advanced analytics and machine learning at Finance of America. Collaborating across teams to deliver data-driven insights and solutions in a growing environment.

Posted 5/1/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $85,000 - $100,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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
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

Requirements

What you’ll need

Minimum of 3 years of experience as a Data Scientist or Data Analyst
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 in Data Science, Computer Science, Statistics, Mathematics, or related field

Benefits

Comp & perks

Health, dental, vision, life insurance
Paid time-off benefits
Flexible spending account
401(k) with employer match
Employee Stock Purchase Plan (ESPP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysismachine learningstatistical modelingpredictive modelingdata explorationdata preprocessingdata cleansingdata validationdata visualizationdata warehousing

Soft Skills

analytical thinkingproblem-solvingbusiness acumencommunicationpresentationcollaboration

Certifications

Bachelor's Degree in Data ScienceBachelor's Degree in Computer ScienceBachelor's Degree in StatisticsBachelor's Degree in Mathematics