Specialist - Data Sciences

Beschreibung:

Responsibilities
Drive business decisions based on insights obtained from data
Apply strong problemsolving skills with an emphasis on product development
Select features build and optimize machine learning techniques to improve the accuracy
of new products
Analyze data for trends and patterns understanding insights with an unbiased mindset
Implement various analytical methodologies to help solve problems related to the energy
industry
Close collaboration with software developers and machine learning engineers in the
implementation of analytical models into production or commercialization
Develop and utilize algorithms to perform error analysis to improve model uniformity and
accuracy
Communicate findings to both technical and nontechnical stakeholders
Work comfortably in a dynamic researchoriented team with multiple parallel projects
Design build and deploy robust machine learning and generative AI solutions on
hyperscale cloud platforms eg AWS Azure GCP Databricks
Implement MLOps practices to ensure scalable reliable and maintainable ML workflows
Develop and integrate GenAI solutions demonstrating familiarity with fundamental
concepts models and toolkits
Required Qualifications
Advanced degree in a highly quantitative field Computer Science Machine Learning
Geology Statistics Mathematics etc
SP Global Commodity Insights
1401 Enclave Pkwy 200 Houston TX 77077 United States
2
Experience with scientific scripting languages eg Python R Matlab
Experience accessing and manipulating data in SQL database environments
Demonstrated experience deploying realworld machine learning solutions on hyperscale
cloud platforms eg AWS Azure GCP Databricks
Familiarity with foundational concepts of Generative AI eg LLMs diffusion models
transformers and relevant frameworks
Excellent communication and presentation skills able to effectively communicate with
management engineering teams clients and other stakeholders
Preferred Qualifications
Recent work or internship experience in an advanced data analytics or ML engineering
role
Experience with objectoriented programming eg Python CC Java
Knowledge of deep learning and related toolkits TensorFlow PyTorch Keras etc
Knowledge of the energy industry understanding different challenges and potential
solutions
Experience with MLOps tools and practices eg MLflow Kubeflow Data Version
Control
Handson experience with GenAI frameworks eg langchain langgraph adk semantic
kernel dspy
Proven experience in developing and deploying GenAI solutions

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