

micro1
Senior Data Science Associate Consultant - United States
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
November 27, 2025
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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 Masterβs with 4β6 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
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 Masterβs with 4β6 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






