Senior Data Scientist - Pittsburgh, PA

Pittsburgh, PA

Open 3 months, first seen by us 95 days ago

Pay: Pay not listedSimilar roles state $118K–$193K
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization: Must already have the right to workFNB will not provide sponsorship for employment-based visas for this position

What you’ll work on

Full posting

Lead design of ML models for fraud, customer behavior, document intelligence and forecasting
Build and oversee end-to-end production ML systems, including pipelines and drift monitoring
Mentor junior and mid-level data scientists and review their work
Design A/B tests and back tests to measure model impact on business outcomes
Build NLP and computer vision systems for document extraction and classification

From the employer’s posting

Lead the design and development of machine learning models across use cases such as fraud detection

Architect and oversee end-to-end production ML systems, including data pipelines, feature stores, model deployment, and monitoring of model performance and drift

Provide technical leadership, mentorship, and guidance to junior and mid-level data scientists; review work to ensure quality, accuracy, and best practices

Design and evaluate experiments (e.g., A/B testing, back testing) to measure model impact on business outcomes

Design and implement NLP, computer vision, and hybrid rule-based/ML systems for document extraction, classification, and text analytics use cases

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Posting record

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Open 3 monthsWe first saw this posting 95 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Aug 1, 202695 days ago
Recorded sightings: 196
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 95

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 10,000 similar postings that came down. Coming down is not always a hire.

Fnbcorp is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Excel
pandas
scikit-learn

Where the posting names them

Excellent management skills Python (pandas, scikit-learn, etc.) SQL (advanced querying, data extraction)

Python (pandas, scikit-learn, etc.) SQL (advanced querying, data extraction) Machine Learning (supervised/unsupervised)

Excellent project management skills MS Excel - Intermediate Level MS PowerPoint - Intermediate Level

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Primary Office Location:

626 Washington Place. Pittsburgh, Pennsylvania. 15219.

Join our team. Make a difference - for us and for your future.

**Please note: this on-site position is based at our Financial Center in Pittsburgh, PA. Candidates must be local or willing to relocate to the area.

FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.**

Position Title: Senior Data Scientist

Business Unit: Strategy and Innovation

Reports to: Manager of Data Science

Position Overview:

This position leads the development and deployment of advanced analytics and machine learning solutions across fraud detection, document intelligence, customer analytics, and treasury forecasting. The Senior Data Scientist partners with business leaders to translate complex financial and operational problems into scalable models and AI solutions, with a focus on production deployment, model governance, and measurable business impact.

Primary Responsibilities:

Lead the design and development of machine learning models across use cases such as fraud detection, customer behavior modeling, document intelligence (OCR/Doc AI), and financial forecasting.

Partner with senior leadership and stakeholders to identify opportunities, define analytical approaches, and translate business needs into data-driven solutions.

Architect and oversee end-to-end production ML systems, including data pipelines, feature stores, model deployment, and monitoring of model performance and drift.

Provide technical leadership, mentorship, and guidance to junior and mid-level data scientists; review work to ensure quality, accuracy, and best practices.

Communicate complex analytical findings to both technical and non-technical audiences; influence decision-making through clear storytelling and recommendations.

Establish and maintain best practices in modeling, documentation, model governance, and performance monitoring to ensure scalability and compliance.

Design and evaluate experiments (e.g., A/B testing, back testing) to measure model impact on business outcomes such as fraud loss reduction, customer retention, and revenue growth.

Drive innovation by researching and applying new tools, techniques, and methodologies in data science and analytics.

Collaborate cross-functionally with data engineering, IT, and business teams to ensure alignment and successful implementation of solutions.

Design and implement NLP, computer vision, and hybrid rule-based/ML systems for document extraction, classification, and text analytics use cases.

Performs other related duties and projects as assigned.

All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation’s risk management program.

F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions.

Minimum Level of Education Required to Perform the Primary Responsibilities of this Position:

BA or BS

Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position:

Skills Required to Perform the Primary Responsibilities of this Position:

Excellent communication skills, both written and verbal

Excellent organizational, analytical and interpersonal skills

Detail-oriented

Excellent project management skills

MS Excel - Intermediate Level

MS PowerPoint - Intermediate Level

Ability to use a personal computer and job-related software

Excellent management skills

Python (pandas, scikit-learn, etc.)

SQL (advanced querying, data extraction)

Machine Learning (supervised/unsupervised)

Statistical modeling & experimentation

Data Wrangling & Feature Engineering

Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:

N/A

Physical Requirements or Work Conditions Beyond Traditional Office Work:

N/A

Equal Employment Opportunity (EEO):

It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.

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