United States Steel Corporation

Senior Data Scientist, Finance Analytics

United States Steel Corporation$110K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, Finance, Economics, Statistics, Mathematics, or a related field; Master's degree preferred.
  • 3-5 years of experience in data science, financial analytics, FP&A analytics, or a related quantitative role.
  • Advanced proficiency in Python and SQL; experienced in writing production-grade code and building financial data pipelines.
  • Hands-on experience developing, validating, and monitoring machine learning models, especially in forecasting and anomaly detection.
  • Familiarity with AI and machine learning frameworks like Scikit-learn, PyTorch, TensorFlow, and MLflow.

Responsibilities

  • Design and maintain AI-enabled financial dashboards and analytics applications using Databricks.
  • Build scalable ETL and ELT data pipelines to integrate financial and operational data.
  • Develop and validate machine learning models for financial forecasting and analysis.
  • Apply generative AI to enhance financial reporting and self-service analysis.
  • Automate FP&A and reporting processes for increased accuracy and efficiency.
  • Collaborate with finance teams and stakeholders to translate financial questions into analytics solutions.
  • Prepare executive-ready analyses and insights that support strategic decision-making.

Benefits

  • Hybrid work environment in Pittsburgh, PA.
  • Opportunity to mentor junior team members.
  • Work at the intersection of finance and cutting-edge technology.
  • Be part of a high-impact team driving financial transformation.
  • Access to advanced analytics platforms and tools.
Full Job Description
Job Description

We are seeking a Senior Data Scientist, Finance Analytics to join the Finance Transformation team within Corporate FP&A. It is a hybrid position in Pittsburgh, PA. This role will design, build, and scale AI-enabled analytics solutions that modernize financial planning, forecasting, reporting, and decision support across USS. The ideal candidate brings a strong combination of finance acumen, advanced analytics, machine learning, automation, and applied generative AI experience. This is a high-impact opportunity to work at the intersection of Finance, data engineering, and AI to improve forecast accuracy, reduce manual effort, strengthen financial insights, and enable faster, more confident decision-making for senior leadership.

Responsibilities:
  • Design, develop, and maintain AI-enabled financial dashboards, analytics applications, and executive reporting tools using Databricks and related analytics platforms.
  • Build scalable ETL and ELT data pipelines that integrate financial, operational, and enterprise data into the Enterprise Data Platform.
  • Develop and validate machine learning models for financial forecasting, scenario analysis, variance analysis, anomaly detection, and business trend identification.
  • Apply generative AI and large language model capabilities to streamline financial reporting, management commentary, knowledge retrieval, and self-service financial analysis.
  • Automate recurring FP&A, monthly close, and management reporting processes to reduce manual effort and improve accuracy.
  • Partner with Corporate FP&A, segment finance teams, data engineering, and business stakeholders to translate financial questions into scalable analytics and AI solutions.
  • Prepare executive-ready analyses, insights, and narratives that support forecasting, financial steering, monthly close activities, and strategic decision-making.
  • Own end-to-end delivery of analytics initiatives, including requirements gathering, solution design, model development, testing, deployment, adoption, and ongoing performance monitoring.
  • Ensure AI and financial modeling outputs are explainable, auditable, traceable to source data, and aligned with finance governance standards.
  • Document model assumptions, data definitions, controls, business rules, and process requirements as analytics capabilities scale.
  • Mentor junior team members on data science, financial analytics, responsible AI, and engineering best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Finance, Economics, Statistics, Mathematics, or a related field; Master's degree preferred.
  • 3-5 years of experience in data science, financial analytics, FP&A analytics, or a related quantitative role.
  • Advanced proficiency in Python and SQL, including experience writing production-grade, testable code and building complex financial data pipelines.
  • Hands-on experience developing, validating, and monitoring machine learning models, with emphasis on forecasting, regression, classification, anomaly detection, or optimization use cases.
  • Experience building and validating time-series forecasting models, including back testing, feature selection, model interpretability, and overfit prevention.
  • Familiarity with AI and machine learning libraries and frameworks such as Scikit-learn, PyTorch, TensorFlow, MLflow, LangChain, or similar tools.
  • Experience applying generative AI or LLM-based solutions to business workflows, financial reporting, knowledge retrieval, commentary generation, or analytics automation preferred.
  • Hands-on experience with a modern cloud-based analytics platform such as Databricks or Snowflake and a major cloud provider such as Azure, AWS, or GCP.
  • Experience with Power BI, Tableau, or other BI tools, including financial dashboard development and KPI visualization, preferred.
  • Exposure to financial systems such as OneStream, Oracle GL/EPM, SAP, ERP, EPM, or similar platforms preferred.
  • Strong understanding of financial planning, forecasting, budgeting, variance analysis, cost drivers, profitability analysis, or management reporting preferred.
  • Familiarity with LLM-powered code assistants, such as Codex, GitHub Copilot, Claude Code, or similar tools.
  • Ability to explain complex models and analytical outputs to Finance leaders and non-technical stakeholders in a clear, practical, and business-relevant manner.
  • Manufacturing, industrial, or capital-intensive industry experience a plus.


Competency Summary

At U. S. Steel all employees are expected to display the following core competencies every day to advance corporate, team and individual goals:

Think: Think Critically and Drive Change
Lead: Develop Talent and Collaborate
Do: Empower Performance and Deliver Results

About United States Steel Corporation

United States Steel Corporation is an integrated steel producer with major production operations in the United States, Canada and Central Europe and an annual raw steelmaking capability of 27 million net tons. The company manufactures a wide range of value-added steel sheet and tubular products for the automotive, appliance, container, industrial machinery, construction, and oil and gas industries.

United States Steel Corporation Careers

Join the robust team at United States Steel Corporation, a leader in the steel industry, and propel your career to new heights with a company renowned for its commitment to innovation, leadership, and sustainability.

Work You’ll Do

At United States Steel Corporation, you will be part of a dynamic team that drives our legacy of innovation forward. Engage in work that shapes the future of the industry and contributes to sustainable solutions that impact the world. Our diverse workforce is committed to excellence and achieving superior results through teamwork and leadership.

Transform Your Career

United States Steel Corporation offers a unique platform for professionals to lead in the marketplace by combining industry expertise, leadership skills, and a commitment to innovation and growth. Our team members are at the forefront of the steel industry, driving change and transforming our operations to stay ahead of global demands.

Innovative Work Environment

Join our team of dedicated professionals who are not only experts in steel production but also pioneers in environmental stewardship and advanced manufacturing processes. Our commitment to innovation is evident in every project and strategy that drives United States Steel Corporation forward.

Be Part of a Great Team

United States Steel Corporation is not just a company; it’s a community. Here, you will find a culture that values diversity, leadership, and professional growth. Our team is made up of skilled professionals from various backgrounds, all contributing to our collective success. We offer extensive benefits, diversity training, and opportunities for career advancement.

Future-Proof Your Career

With United States Steel Corporation, your career path is filled with limitless opportunities for advancement. We support our team members with unmatched training, development programs, and leadership opportunities designed to foster professional growth and innovation.

Explore Job Opportunities

Whether you’re looking for a position in engineering, management, or production, United States Steel Corporation offers a variety of job opportunities to fit your skills and career goals. We are committed to hiring and developing the best talent to maintain our position as a leader in the steel industry.

United States Steel Corporation Employment Experience

Our hiring process is designed to identify and attract professionals who are passionate, curious, and driven. From the moment you submit your resume and throughout the interview process, you will experience a transparent and respectful journey. We value the skills and perspectives each team member brings to our company.

Stay Connected

Join Our Team Search open positions that match your skills and interests. We look for passionate, curious, creative, and solution-driven team players who are ready to take their career to the next level.

Keep Up to Date

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Internship Programs

Kickstart your career with United States Steel Corporation’s internship programs. Gain valuable industry experience, build your professional network, and develop skills that will set you apart in the job market.

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Learn more about United States Steel Corporation
Size
24,540 employees
Market Cap
$6.1 billion
Industry
Net Income
-$1.1 billion
Founded
1901
5 Year Trend
+14.6%
Revenue
$9.7 billion
NASDAQ

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