Data Scientist

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Job Description Summary

As a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision.

The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders.

Job Description Summary

As a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision.

The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders.



Job Description

Roles and Responsibilities:

• Design, develop, and deploy machine learning models and algorithms
• Understand business problems and identify opportunities to implement data science solutions.
• Develop, verify, and validate analytics to address customer needs and opportunities.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
• Ensure efficient data retrieval and augmentation processes to support LLM training and inference.
• Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models.
• Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Communicate methods, findings, and hypotheses with stakeholders.

• Bachelor’s degree from accredited university or college with minimum of 3 years of professional experience OR an associate’s degree with minimum of 5 years of professional experience
• 3 years of proficiency in Python (mandatory).
• 2 years’ experience with machine learning frameworks and deploying models into production environments
• Note:
  
  Military experience is equivalent to professional experience

• Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
• Experience with handling unstructured data, including images, videos, and text.
• Understanding of computer vision…