Analytic Science Lead Scientist

FICO

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $120,000–$189,000 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k

This role $154k

$97k most similar roles pay here $233k

This role pays less than 67% of similar roles. Most pay $133,750–$201,700 — the shaded band above. At the midpoint, this role pays about $154k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About FICO

FICO (Fair Isaac Corporation) is a data analytics company best known for the FICO credit score, and provides analytics software and tools for fraud detection, credit scoring, and decision management. Industry: Data Analytics & Financial Technology

FICO currently has 12 open roles on FindRole.

Listed pay typically runs $119,500–$188,000 across 12 roles with salary data.

Most-posted roles

View all roles at FICO

At a glance

TL;DR · Analytic Science Lead Scientist

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Join our Analytic Science team as an experienced Senior Data Scientist where you will work closely with industry-leading analytical and engineering experts. Your day-to-day responsibilities include ensuring data quality through acquisition and processing, selecting appropriate statistical methods, building high-end analytic models using advanced techniques like neural networks and logistic regression, and managing projects under tight deadlines while collaborating across FICO teams for integration and deployment of analytics solutions. You will also support model go-lives by validating production data and analyzing model behaviors in client meetings. Ideal candidates hold an MS or PhD with significant experience in predictive modeling, strong scripting skills in Perl or Bash, and proficiency in languages like Python or Java alongside expertise in machine learning algorithms such as random forests and decision trees.

Skills

Python Java C++ C Perl Bash neural networks logistic regression non-linear regression random forests decision trees support vector machines linear optimization non-linear optimization data mining statistical modeling machine learning predictive modeling

What you'll do

Ensure data quality through all stages of acquisition and processing.
Select appropriate statistical methods and computational algorithms for projects.
Build high-end analytic models using advanced statistical techniques.
Manage project timelines and integrate analytics software with other teams.
Perform production data validations and analyze model behaviors post-deployment.
Assist in client meetings to investigate and resolve problems related to models.

What we're looking for

MS or PhD in relevant field with significant hands-on predictive modeling and data mining experience.
Proven ability to analyze large datasets using statistical methods and data-cleaning techniques.
Strong scripting skills in Perl, Bash, or similar languages.
Experience leading cross-functional teams on medium to large projects.
Proficiency in at least three advanced machine learning techniques (e.g., neural networks, logistic regression).
Demonstrated experience working with Java, Python, C++, or C.

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