Data Scientist II

United States Steel Corporation; Pittsburgh (Allegheny County); Hybrid; USD 89,000 - 110,000; Full time

Job summary

U. S. Steel seeks a data scientist to design and deploy predictive and prescriptive analytics in Python, driving measurable business value. The role blends collaborative teamwork with independent project work across manufacturing and support functions.

You will work with big data (SQL, Hive/Hadoop) and time-series analyses, building models, generating visualizations, and communicating insights to stakeholders. Travel up to 15–20% may be required; commuter remote structure.

Qualifications

• Bachelor's degree in data science, engineering, CS or related field with equivalent work experience.
• Proven expertise using statistics, machine learning, algorithms and advanced mathematics to solve engineering problems.
• Two plus years hands-on data science experience in industry.
• Working knowledge of statistics and programming involving time-series data.
• Demonstrated skill in the use of analytic, visualization and data querying software tools (e.g., R, Python, Java, Tableau, SQL, Hive / Hadoop).
• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment.
• Demonstrated skill in applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets.
• Demonstrated skill at data visualization and storytelling for stakeholders.
• Ability to work independently.
• Strong organizational, project, process and time management skills.
• Excellent communication skills.
• Ability to think creatively and solve problems.

Responsibilities

• Develop and deploy predictive and prescriptive analytic solutions in Python to drive business value
• Develop algorithms, methods, and tools to ingest large data sets to predict outcomes. Generate semiautomated and automated decision systems in manufacturing and in the manufacturing supporting organizations.
• Provide clear direction to data engineers for model specific data transformation requirements
• Generate descriptive visualizations and presentations to communicate insights.
• Process, cleanse, and verify the integrity of data used for analysis
• Perform rapid ad-hoc analysis and present results in a clear manner starting with structured or unstructured datasets
• Communicate clearly advanced concepts and information to varied audiences
• Maintain an up-to-date knowledge of technology trends

Skills

Statistics & ML

Time-series analysis

Data visualization

Data storytelling

Independent work

Project management

Communication

Problem solving

Education

Bachelor's degree in Data Science / CS

Tools

R

Python

Java

Tableau

SQL

Hive / Hadoop

Job description

This is a hybrid role, and the successful candidate will collaborate with internal business partners to implement data-driven solutions with measurable business value. The candidate must have experience working within a team environment as well as independently, on multiple projects simultaneously, and work well within deadlines. The candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., R, Python, etc.) and techniques (e.g., linear and logistic modeling, tree-based modeling, neural nets, anomaly detection, image/video classification, principal component analysis (PCA), etc.) Experience with Python for big-data analysis built upon structured (SQL) and unstructured (data lakes / Hadoop) file systems is a plus. Preference will be given to candidates with experience in time series analysis prediction with statistics and machine learning. Proficiency in report generation, query writing, databases, and data visualization is imperative and proven / demonstrable experience in this regard is mandatory.

KEY RESPONSIBILITIES

• Develop and deploy predictive and prescriptive analytic solutions in Python to drive business value
• Develop algorithms, methods, and tools to ingest large data sets to predict outcomes. Generate semiautomated and automated decision systems in manufacturing and in the manufacturing supporting organizations.
• Provide clear direction to data engineers for model specific data transformation requirements
• Generate descriptive visualizations and presentations to communicate insights.
• Process, cleanse, and verify the integrity of data used for analysis
• Perform rapid ad-hoc analysis and present results in a clear manner starting with structured or unstructured datasets
• Communicate clearly advanced concepts and information to varied audiences
• Maintain an up-to-date knowledge of technology trends

MINIMUM EDUCATION, KNOWLEDGE, SKILLS AND ABILITIES

• Bachelor's degree in data science, Engineering, Computer Science, Information Systems or related discipline with equivalent work experience in data analysis in lieu of an advanced degree.
• Proven expertise in leveraging statistics, machine learning, algorithms and advanced mathematics to solve engineering problems.
• Two plus years of hands‑on experience in data science, or similar experience in mining, steel making, or related industry.
• Working knowledge of statistics and programming involving time-series data.
• Demonstrated skill in the use of one or more analytic, visualization and data querying software tools or languages (e.g., R, Python, Java, Tableau, SQL, Hive / Hadoop).
• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment.
• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets.
• Demonstrated skill at data visualization and storytelling for an audience of stakeholders.
• Ability to work independently.
• Strong organizational, project, process and time management skills.
• Excellent communication skills.
• Ability to think creatively and solve problems.

Work Environment/Physical Requirements

• Commuter remote structure.
• Ability to travel 15-20% of the time.
• Must be able to constantly operate a computer.
• Must be able to remain stationary 50% of the time.

Salary Range: $88,762 - $110,000/yr. This base salary range is a good faith estimate. Based on candidate skills/experience the final offer may be lower/higher.

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

Company Overview

Since 1901, U. S. Steel has been a recognized leader in steel production. Today, as the first North American steel company to have declared a 2050 net‑zero greenhouse gas emissions goal, we remain as innovative as ever, leading transformation across our industry while continuing to make products for everyday life - from industries as far ranging as automotive, construction, containers and packaging, appliances, and energy.

Underneath it all is our Culture of Caring, which shows up in our community partnerships, charitable contributions, company‑supported employee volunteer initiatives, scholarship programs, leadership training, and much more. And of course, it takes shape in a steadfast commitment to safety first in our workplaces and respect for our employees, who are United by Steel.

We are honored to have earned accolades and awards from well‑regarded organizations, including the following:

• Ethisphere’s World’s Most Ethical Companies® 2022, ’23, ‘24
• Disability: IN’s Best Places to Work for Disability Inclusion 2021, ’22, ’23, ‘24
• Human Rights Campaign Foundation’s Equality 100 Award 2020, ’21, ’22, ’23-24, ‘25
• Military Times’ Best for Vets: Employers 2023, ‘24

Conducting business with integrity and with the highest ethical values has underpinned U. S. Steel’s success for over 100 years, and it remains critical to our company’s success in the future. U. S. Steel is an Equal Opportunity Employer. It is our policy to provide equal employment opportunity (EEO) according to job qualifications without discrimination on the basis of race, color, religion, ancestry, national origin, age, genetics, sexual orientation, sex, gender identity, disability status or status as a protected Veteran or any other legally protected group status. (California residents may visit www.ussteel.com/CANotice regarding collection of personal information and U. S. Steel's privacy practices.)