Staff Data Scientist

Grid Dynamics; Texas; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

In-person onboarding travel

Office in Texas

Team events

Job summary

Grid Dynamics seeks a senior ML/AI engineer to advance a production-grade machine learning solution with cross-functional impact. You will refine architectures, optimize MLOps pipelines, and drive best practices across the SDLC while partnering with the client’s core team to ensure stability and measurable business value.

The role emphasizes ownership, decision-making, and knowledge sharing in a fast-paced environment, with an emphasis on modern data processing and evolving foundation model

Qualifications

• Proficient in Python and PySpark for scalable data processing.
• Deep expertise across time-series models, gradient boosting/tree methods, deep learning, and foundation models.
• Demonstrated decision-making and ownership with proactive delivery mindset.
• Strong collaboration, knowledge sharing, and initiative across teams.
• Bachelor’s degree in CS, Data Science, Engineering, Mathematics, or related field.

Responsibilities

• Collaborate cross-functionally with engineering and business teams to align requirements and deliver solutions.
• Drive MLOps excellence by designing and optimizing architectures and refactoring pipelines for scalability and reliability.
• Enhance SDLC practices to improve solution architecture, code quality, and maintainability.
• Establish and promote best practices within the project team.
• Partner with the client’s core team to rapidly identify and resolve bugs, ensuring stability and performance.

Skills

Python

PySpark

Machine learning

Decision making

Ownership

Knowledge sharing

Collaboration

Initiative

Education

Bachelor's degree

Tools

AWS

Databricks

Job description

This project involves a complex, production-grade machine learning solution with ongoing opportunities for enhancement across both traditional data science and emerging foundation model approaches. It requires strong collaboration with technical and business stakeholders, proactive decision-making, and continuous knowledge sharing to drive innovation, scalability, and business impact.

Essential functions

• Collaborate cross-functionally with engineering and business teams to ensure alignment, clarity of requirements, and effective delivery of solutions
• Drive MLOps excellence by proposing, designing, and optimizing system architecture, including refactoring Azure DevOps (ADO) and Azure Data Factory (ADF) pipelines for scalability and reliability
• Enhance SDLC practices by improving overall solution architecture, code quality, and maintainability across the development lifecycle
• Establish and promote best practices by defining and implementing effective ways of working within the project team
• Partner closely with the client’s core team to ensure rapid identification and resolution of bugs, maintaining system stability and performance

Qualifications

• Strong programming skills in Python and PySpark, with experience in multiprocessing and multithreading for scalable data processing
• Deep expertise in machine learning, spanning classical time-series models, gradient boosting/tree-based methods, deep learning, and emerging foundation models for time-series forecasting
• Demonstrated strengths in decision-making and ownership, with a proactive, results-oriented mindset
• Proven ability in knowledge sharing, collaboration, and initiative, contributing to both team growth and project success
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field

Would be a plus

• Experience with AWS cloud services, including designing and deploying scalable data and ML solutions
• Hands-on experience with Databricks Asset Bundles (DAB) for managing, packaging, and deploying Databricks projects across environments

We offer

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Corporate social events
• Well-equipped office
• Please note that all onboarding must occur in person and you may be asked to travel to attend

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.