Senior Data Scienсе Engineer IRC277051

Description

Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.

We’re seeking hands-on Data Scientist to join our Data & AI Team. You will be responsible for improving, optimizing, and scaling Monte Carlo–based simulation algorithms that support advanced maintenance planning and assessment. For this position, experience in reliability engineering or reliability science—particularly in the context of maintenance planning and asset performance assessment—is highly desirable. Working closely with solution architects and fellow data scientists, you will analyze and optimize Python code, benchmark performance across CPU and GPU environments, and design experiments to assess feasibility at scale.

These roles are highly collaborative, requiring both strong technical depth and the ability to translate simulation results into actionable insights for future product and service offerings.

Why Method?

These roles are highly collaborative, requiring both strong technical depth and the ability to translate simulation results into actionable insights for future product and service offerings.

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Requirements

Strong proficiency in Python, including code optimization, profiling, and use of libraries for scientific computing (NumPy, SciPy, pandas, Dask, Numba, etc.).
Experience with Monte Carlo simulation methods or other stochastic modeling techniques.
Familiarity with high-performance computing (parallelization, GPU acceleration, CUDA, RAPIDS, or equivalent).
Hands-on experience with cloud platforms (Azure preferred, AWS or GCP acceptable), including resource provisioning, scalability, and cost management.
Understanding of data architecture principles and ability to work with large, complex datasets.
Experience in building data-driven reports and visualizations (e.g., matplotlib, Plotly, Dash, or equivalent).
Knowledge of software engineering practices (version control, testing, static analysis, code reviews).

Nice to have:

Experience with predictive maintenance, reliability engineering, or asset management solutions.
Familiarity with APM systems and energy/utility sector solutions.
Prior exposure to Azure Machine Learning, Databricks, or distributed computing frameworks.
Experience integrating simulation algorithms with UI components or dashboards.

Job responsibilities

Collaborate with a cross-functional team (designer, product strategy, solution architects) to improve and optimize Monte Carlo–based simulation algorithms for predictive maintenance planning.
Analyze, refactor, and optimize existing Python code to ensure performance, scalability, and adherence to best practices.
Benchmark algorithm performance at component and system levels under varying data volumes and hardware configurations (CPU vs GPU).
Design and execute experiments to evaluate the feasibility of large-scale simulation deployments on cloud environments (Azure preferred).
Develop proof-of-concept data workflows, including parameterized simulations, scenario scaling, and distribution-based reporting.
Contribute to defining the Minimum Viable Architecture (MVA), including cost assessment, hardware/software requirements, and integration pathways.
Produce technical deliverables: benchmark reports, code optimization documentation, cost/performance trade-offs, and recommendations for next phases.
Master’s or PhD in Computer Science, Data Science, Applied Mathematics, Operations Research, or a related field.
3–5+ years of professional experience in data science, computational modeling, or applied research (industry or advanced research projects).

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.