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Senior Data Science Associate Consultant - United States

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Science Associate Consultant, remote in the US, with a full-time contract. Pay rate is unspecified. Requires a PhD or Master's with 4-6 years of experience, expertise in Python, ML frameworks, and big data ecosystems.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 27, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Generative Models #Scala #Deployment #Big Data #Leadership #AI (Artificial Intelligence) #Computer Science #Spark (Apache Spark) #Statistics #Datasets #IP (Internet Protocol) #Data Science #AWS (Amazon Web Services) #Data Architecture #Cloud #Python #PyTorch #TensorFlow #Hadoop #ML (Machine Learning)
Role description
Job Description Job Title: Senior Data Science Associate Consultant Job Type: Full-tim e Location: Remote - The US Job Summ aryZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadersh ip. Key Responsibili β€’ tiesLead the design, development, and deployment of advanced AI and ML models addressing large-scale, high-dimensional probl β€’ ems.Architect data-driven systems combining statistical, predictive, and generative modeling techniq β€’ ues.Evaluate and integrate emerging datasets, frameworks, and tools into scalable production pipeli β€’ nes.Fine-tune large language models (LLMs) and experiment with hybrid AI systems using agentic or classical approac β€’ hes.Collaborate directly with clients to define project scope, design analytical solutions, and deliver business imp β€’ act.Lead teams of data scientists, ensuring methodological rigor, reproducibility, and innovat β€’ ion.Contribute to thought leadership initiatives through publications and research collaborati ons. Required Skills and Qualifica β€’ tionsPhD in Computer Science, Statistics, or a related field, or Master’s with 4–6 years of data science experi β€’ ence.Expert in Python, statistical modeling, and advanced ML frameworks (TensorFlow, PyTorch, scikit-le β€’ arn).Deep understanding of data architecture, MLOps, and model lifecycle manage β€’ ment.Hands-on experience with RAG pipelines, fine-tuning generative models, and multi-agent sys β€’ tems.Strong experience with big data ecosystems (Spark, Hadoop) and cloud platforms (AWS, Az β€’ ure).Proven ability to lead analytical projects, mentor teams, and communicate technical results to execut β€’ ives.Experience in domains like healthcare, tech, or finance is a plus. Preferred Qualific β€’ ationsExperience fine-tuning generative models and integrating classic AI techn β€’ iques.Prior leadership experience and a record of mentoring junior colle β€’ agues.Domain expertise in healthcare, transportation, technology, insurance, or related se ctors. Our interview process is streamlined with a single step: an AI interview. If you perform well, our hiring managers will review your AI interview recording and may extend an offer directly based on that review