Anagh Technologies Inc
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Sr Data Scientist" in Denver, CO, for 12+ months at a pay rate of W2. Requires expertise in generative AI, SQL, PySpark, and MLOps, along with a Master’s or PhD and an active Lean Six Sigma Black Belt certification.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 30, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
Denver, CO
-
🧠 - Skills detailed
#Angular #AWS (Amazon Web Services) #PyTorch #SQL (Structured Query Language) #Data Pipeline #Consulting #Databases #AI (Artificial Intelligence) #Strategy #Lean #Azure #PySpark #Datasets #Data Engineering #Langchain #Storytelling #Spark (Apache Spark) #React #Java #Data Science #Databricks #Python #Cloud #Statistics #Leadership
Role description
Hello,
We have 3 urgent openings for "Sr Data Scientist". These are hybrid roles.
Only looking for candidates who can work on W2
Strictly no C2C or third-party vendors
Location: Denver, CO
Duration: 12+ months
Key Responsibilities
• Generative AI Strategy: Lead the research and implementation of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to automate complex business workflows and enhance internal knowledge management systems.
• Operational Excellence (Black Belt): Apply DMAIC (Define, Measure, Analyze, Improve, Control) methodology to the data science lifecycle. Identify root causes of operational inefficiencies and deploy AI solutions to mitigate them.
• Advanced Modeling: Build, validate, and deploy high-impact predictive models (Churn, CLV, Propensity) using Python, PyTorch, and Scikit-learn.
• Process Optimization: Utilize Black Belt principles to reduce "waste" in data pipelines, improving model training speed and inference efficiency within Databricks/AWS.
• Stakeholder Storytelling: Act as a bridge between technical AI labs and executive leadership, translating complex neural network outputs into Six Sigma-validated business cases.
Required Technical Skills
• GenAI Stack: Experience with LangChain, LlamaIndex, Vector Databases (Pinecone/Milvus), and fine-tuning open-source models.
• Data Engineering: Expert-level SQL and PySpark for grooming large-scale datasets.
• Statistical Control: Deep understanding of Design of Experiments (DoE), hypothesis testing, and Statistical Process Control (SPC) to monitor model drift and performance.
• MLOps: Proficiency in versioning and deploying models in cloud environments (Azure/AWS).
Education & Certifications
• Education: Master’s or PhD in a quantitative field (Statistics, CS, Engineering).
• Certification: Lean Six Sigma Black Belt or Six Sigma Black Belt(Active certification mandatory).
• Experience: 5-7+ years of experience in a data-driven environment with a proven track record of leading AI initiatives.
ABOUT US:
Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java.
If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to arshad AT anaghtech.com. Thank you for your time.
Hello,
We have 3 urgent openings for "Sr Data Scientist". These are hybrid roles.
Only looking for candidates who can work on W2
Strictly no C2C or third-party vendors
Location: Denver, CO
Duration: 12+ months
Key Responsibilities
• Generative AI Strategy: Lead the research and implementation of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to automate complex business workflows and enhance internal knowledge management systems.
• Operational Excellence (Black Belt): Apply DMAIC (Define, Measure, Analyze, Improve, Control) methodology to the data science lifecycle. Identify root causes of operational inefficiencies and deploy AI solutions to mitigate them.
• Advanced Modeling: Build, validate, and deploy high-impact predictive models (Churn, CLV, Propensity) using Python, PyTorch, and Scikit-learn.
• Process Optimization: Utilize Black Belt principles to reduce "waste" in data pipelines, improving model training speed and inference efficiency within Databricks/AWS.
• Stakeholder Storytelling: Act as a bridge between technical AI labs and executive leadership, translating complex neural network outputs into Six Sigma-validated business cases.
Required Technical Skills
• GenAI Stack: Experience with LangChain, LlamaIndex, Vector Databases (Pinecone/Milvus), and fine-tuning open-source models.
• Data Engineering: Expert-level SQL and PySpark for grooming large-scale datasets.
• Statistical Control: Deep understanding of Design of Experiments (DoE), hypothesis testing, and Statistical Process Control (SPC) to monitor model drift and performance.
• MLOps: Proficiency in versioning and deploying models in cloud environments (Azure/AWS).
Education & Certifications
• Education: Master’s or PhD in a quantitative field (Statistics, CS, Engineering).
• Certification: Lean Six Sigma Black Belt or Six Sigma Black Belt(Active certification mandatory).
• Experience: 5-7+ years of experience in a data-driven environment with a proven track record of leading AI initiatives.
ABOUT US:
Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java.
If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to arshad AT anaghtech.com. Thank you for your time.
