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Data Scientist - Onsite - junior level

Job in Pittsburgh, Allegheny County, Pennsylvania, 15212, USA
Listing for: Genesis10
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 100000 USD Yearly USD 90000.00 100000.00 YEAR
Job Description & How to Apply Below
Genesis
10 is currently seeking a Data Scientist for an Onsite position with a Global Manufacturing Company located in Pittsburgh, PA. Compensation: $90,000 - $100,000 per year, W2

Position Overview:

This role seeks a professional who combines strong machine learning expertise with a genuine understanding of steel production processes. You will collaborate closely with process engineers and domain experts to enhance existing process models by integrating domain knowledge with data-driven techniques and advanced modeling methods to build robust solutions.

Key Responsibilities:

Partner closely with process engineers, metallurgists, and domain experts to develop a deep, working understanding of the underlying processes and the data they generate Translate process know-how into model structure (constraints, features, and relationships) rather than treating the process as a black box Participate in site visits to connect raw signals to real physical behavior Enhance existing process models with data-driven techniques, replacing weak assumptions or unmodeled effects with learned components while preserving the physics that already works Design and implement hybrid models that combine domain/first-principles sub-models with machine learning (gray-box, physics-informed, and residual-modeling approaches) Develop virtual/soft sensors to estimate quantities that are hard or expensive to measure directly Own data science problems end to end: scoping, data analysis (time-series and relational), feature engineering, modeling, validation, and deployment into production Serve as the algorithmic point of contact for your solutions, choosing the right tool for the problem, from robust feature-based methods (e.g., scikit-learn) to deep learning (e.g., Tensor Flow/Keras) Build engineering prototypes and turn promising experiments into reliable, maintainable production solutions Monitor model performance on live data, diagnose drift, and retrain or recalibrate as conditions change Continuously optimize and maintain deployed solutions to improve accuracy, robustness, and runtime performance Work with cross-functional teams (product, engineering, project management) to align data science work with product roadmaps and project goals Engage with customers to gather feedback, refine solutions, and ensure that data-driven approaches are accepted and adopted Primary Requirements:
Master's degree in data science, Machine Learning, Statistics, Applied Mathematics, a quantitative engineering discipline (e.g., process, mechanical, control), or a related field or 2+ years of relevant experience Proven experience taking AI/ML solutions into real production environments Demonstrated ability to understand a problem domain and incorporate that understanding into models Understanding of software development practices:
Python, SQL, Git, code review, and familiarity with container technologies Strong communication skills for working with other departments, customers, and stakeholders, and the ability to explain technical choices to non-specialists Ability to plan over longer horizons and coordinate work packages effectively Willingness to work on-site at the office and to travel to customer sites Desired

Skills:

Hands-on experience with hybrid / gray-box / physics-informed modeling, or with enhancing first-principles or simulation models using data-driven methods Experience building virtual/soft sensors, digital twins, or model-based monitoring for industrial or physical processes Proficiency with deep learning methods and frameworks Background in or exposure to an industrial / manufacturing / process domain (steel, metals, chemical, energy, or similar) Experience researching and benchmarking existing solutions and algorithms before building from scratch Only candidates available and ready to work directly as Genesis
10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis
10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis
10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis
10 offers the benefits listed…
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