Logistics Data Scientist
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Job Location:
Monthly Salary:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology join us to deliver material innovation that changes the world.
What We Offer
Location:
BangaloreINDYoull benefit from a supportive work culture that encourages you to learn develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials we care about the health and wellbeing of our employees. Were committed to providing programs and support that encourage personal and professional growth and care for you at work at home or wherever you may go. Learn more about our benefits.
Key Responsibilities
Works in cross-functional project teams as a subject matter expert to design and develop advanced AI-driven solutions leveraging structured and unstructured big data sources.
Partners with BI and analytics teams to align AI initiatives with business goals and ensure seamless integration into dashboards and reporting workflows.
Develops and implements AI/ML models including generative AI LLM-based applications and retrieval-augmented generation (RAG) pipelines.
Builds and optimizes LangChain LangGraph and similar frameworks for orchestration of large language models and intelligent agents.
Performs ad-hoc statistical and data-mining analysis using tools such as Python R SAS MATLAB and SQL; designs scalable data acquisition systems and architectures.
Creates automated workflows for data ingestion cleansing integration and evaluation of large datasets.
Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis.
Generates internal and external documentation dashboards presentations and technical reports for stakeholders.
Explores emerging technologies and frameworks to drive innovation in AI engineering and advanced analytics.
Serves as a resource and provides guidance to team members on AI engineering best practices data science methodologies and cutting-edge tools.
Functional Knowledge
Demonstrates conceptual and practical expertise in data science AI/ML engineering and LLM orchestration frameworks with basic knowledge of related disciplines such as software engineering and business analytics.
Business Expertise
Has knowledge of best practices and how AI and data science integrate with business operations; is aware of competitive trends and emerging technologies shaping the industry.
Leadership
Acts as a resource for colleagues with less experience; may lead small AI-focused projects with manageable risks and resource requirements.
Problem Solving
Solves complex problems using innovative approaches; takes a new perspective on existing solutions; exercises judgment based on analysis of multiple sources of information.
Impact
Impacts a range of customer operational project or service activities within own team and other related teams; works within broad guidelines and policies.
Interpersonal Skills
Explains difficult or sensitive information clearly; works to build consensus across teams.
Education & Experience
Education: Bachelors Degree (Masters preferred in Data Science AI/ML Computer Science or related field)
Experience: 47 years in data science AI/ML engineering and advanced analytics.
Preferred Skills
Proficiency in Python R SQL and experience with big data platforms (e.g. Spark Databricks).
Hands-on experience with LangChain LangGraph and orchestration of LLM-based applications.
Familiarity with cloud environments (AWS Azure GCP) and containerization (Docker Kubernetes).
Strong understanding of AI/ML frameworks (TensorFlow PyTorch) and prompt engineering.
Knowledge of retrieval-augmented generation (RAG) vector databases and API integrations.
Excellent communication and stakeholder management skills.
A curious experimental mindset with passion for exploring emerging technologies.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes 10% of the TimeRelocation Eligible:
YesApplied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color national origin citizenship ancestry religion creed sex sexual orientation gender identity age disability veteran or military status or any other basis prohibited by law.
Key Skills
- Shipping & Receiving
- Inventory Control
- Data Entry
- AS400
- Transportation Management Systems
- EDI
- Microsoft Outlook
- Warehouse Experience
- Office Experience
- Dispatching
- Microsoft Excel
- Logistics
About Company
Applied Materials, Inc. is the global leader in materials engineering solutions for the semiconductor, flat panel display and solar photovoltaic (PV) industries.
