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Sr Data Scientist With Gen Ai Jobs (NOW HIRING)

Promantus, Inc

Data Scientist with GEN AI

Plano, TX

Data Scientist with GEN AI Location: Plano, TX Duration: Long Term Contract (Onsite) Position Overview * Advanced proficiency in Python, including experience with asynchronous programming, data ...

Apex Informatics

Data Scientist

Addison, TX · On-site

... with Gen AI Models. REQUIRED SKILLS * 7+ years of experience as Data Scientist or related roles ... Bachelor's degree in Computer Science, or a related technical field * Deep understanding and some ...

Apex Informatics

Data Scientist

Addison, TX · On-site

... with Gen AI Models. REQUIRED SKILLS * 7+ years of experience as Data Scientist or related roles ... Bachelor's degree in Computer Science, or a related technical field * Deep understanding and some ...

Prodigious Worldwide

Senior Data Scientist

Chicago, IL · On-site

We are looking for a Senior Data Scientist with deep expertise in Generative AI and advanced ... Conduct research on emerging Gen AI techniques and apply them to business use cases. * Fine-tune ...

Mindlance

Principal Gen AI Scientist

Mclean, VA · On-site

Principal Gen AI Scientist Location: McLean, VA - fully onsite Duration: 6 months with possible ... Curate enterprise data using connectors integrated with AWS Bedrock's Knowledge Base/Elastic.

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Experience with opensource Gen AI LLMs e.g., Llama and Dolly * Machine learning, NLP & deep ...

Keylent Inc

Gen AI - Data Scientist

Phoenix, AZ · On-site

Gen AI - Data Scientist Analyze and organize raw data Build data systems and pipelines Evaluate ... Java and Python) Hands-on experience with SQL database design Great numerical and analytical skills ...

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$142.5K

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How much do sr data scientist with gen ai jobs pay per year?

As of May 28, 2026, the average yearly pay for sr data scientist with gen ai in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sr Data Scientist with Gen AI, and why are they important?

To thrive as a Sr Data Scientist with Gen AI, you need advanced expertise in statistics, machine learning, deep learning, and a strong background in computer science or a related field, often supported by a master's or PhD. Proficiency in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and familiarity with generative AI models (e.g., LLMs, GANs) are crucial, along with relevant certifications. Exceptional problem-solving abilities, communication, and the capacity to lead multidisciplinary teams help drive innovative AI solutions. These skills ensure the design, implementation, and deployment of impactful generative AI systems that solve complex business challenges.

How does a Sr Data Scientist with Gen AI typically collaborate with cross-functional teams in a project setting?

As a Sr Data Scientist specializing in Generative AI, you'll frequently collaborate with product managers, engineers, and domain experts to identify use cases, develop models, and integrate solutions into products. This role often involves translating complex technical concepts for non-technical stakeholders, ensuring alignment on project goals, and iterating on models based on feedback. You may also mentor junior team members and contribute to setting best practices for AI deployment, fostering a collaborative and innovative team environment.

What does a Sr Data Scientist with Gen AI do?

A Sr Data Scientist with Gen AI specializes in designing, building, and deploying advanced artificial intelligence models, particularly those in the field of generative AI, like large language models and image generators. They analyze large datasets, identify patterns, and develop solutions that can generate new content, automate processes, or enhance decision-making. In addition to technical expertise in data science and machine learning, these professionals often lead teams, manage projects, and work closely with business stakeholders to align AI solutions with organizational goals.

What is the difference between Sr Data Scientist With Gen Ai vs Data Scientist?

AspectSr Data Scientist With Gen AiData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; experience with AI/ML, Gen AI toolsBachelor's/Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentTech companies, AI startups, R&D teams focusing on Gen AI applicationsVarious industries including finance, healthcare, tech; data analysis and modeling roles
Employer & Industry UsageOrganizations integrating Gen AI into products/servicesBroad industry use for data analysis, predictive modeling, and insights

The main difference is that Sr Data Scientist With Gen Ai specializes in developing and implementing Generative AI solutions, requiring expertise in AI/ML and Gen AI tools. Data Scientists have a broader focus on data analysis and modeling across industries without necessarily specializing in Gen AI. Both roles demand strong technical skills, but the Sr Data Scientist With Gen Ai role emphasizes AI innovation and deployment.

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Sr Data Scientist With Gen Ai jobs near you
Infographic showing various Sr Data Scientist With Gen Ai job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 72% Physical, and 28% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Data Scientist with GEN AI

Promantus, Inc

Plano, TX

Other

Posted 20 days ago

Job description

Position: Data Scientist with GEN AI
Location: Plano, TX
Duration: Long Term Contract (Onsite)

Position Overview

  • Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
  • DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc.
  • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
  • Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar.LLM Fine tuning experience
  • Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
  • Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
  • API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
  • Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
  • Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud
  • Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditability
  • Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.

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