Senior Data Scientist

Senior Data Scientist

Location:

Houston, TX

Base pay range: $/yr - $/yr

An established technology-driven organization is seeking a highly experienced Senior Data Scientist to join a collaborative and fast-paced data and analytics team. This role is ideal for a hands‑on technical leader with deep expertise in data science, machine learning, and data engineering
, with a strong emphasis on designing, building, and deploying Generative AI solutions
.

• Design, develop, and deploy advanced machine learning models, with a focus on Generative AI techniques (e.g., GANs, transformers, diffusion models, RAG-based systems).
• Build and train deep learning models using frameworks such as Tensor Flow, PyTorch, or JAX for applications in NLP, computer vision, and other generative use cases.
• Collaborate with engineering teams to product ionize AI/ML solutions, ensuring performance, scalability, and reliability.
• Partner with technical and business leaders to help shape data strategy, analytics vision, and supporting documentation.
• Apply advanced statistical methods and modeling techniques to analyze large, complex datasets and deliver actionable insights.
• Design and implement robust data pipelines for ingesting, cleaning, and transforming data for machine learning workflows, including lakehouse architectures and medallion‑style data governance
  .
• Architect and maintain scalable data platforms and storage solutions supporting both batch and real‑time processing.
• Own end‑to‑end ML workflows, including feature engineering, model training, evaluation, deployment, and monitoring.
• Continuously evaluate and optimize model performance and contribute to improvements in the broader AI/ML ecosystem.

• Master’s or PhD in Computer Science, Data Science, Engineering
  , or a related discipline with a concentration in machine learning, AI, or data engineering.
• Demonstrated hands‑on experience with Generative AI
  , including GANs, VAEs, transformers, RAG pipelines, and other modern deep learning architectures.
• Strong programming skills in Python, R, or Julia
  , with extensive use of AI/ML libraries and frameworks (e.g., Tensor Flow, PyTorch, Scikit‑learn).
• Significant experience in data engineering
  , including ETL pipelines, data wrangling, real‑time processing, and data storage solutions.
• Deep understanding of machine learning algorithms, deep learning methods, and statistical modeling.
• Experience working in cloud environments (AWS, Azure, or GCP) and with distributed computing frameworks such as Spark or Hadoop.
• Proven ability to design and optimize data architectures for both batch and streaming data use cases.
• Proficiency with SQL and No
  
  SQL databases and data query languages.
• Strong analytical, problem‑solving, and critical‑thinking skills, with the ability to work autonomously or collaboratively.
• Excellent written and verbal communication skills, with the ability to translate complex technical concepts for diverse audiences.

Mid‑Senior level

Full‑time

Information Technology

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