Tiger Analytics Logo

Tiger Analytics

Senior/Lead Data Scientist - Agentic AI

Posted 9 Days Ago
In-Office or Remote
Hiring Remotely in Dallas, TX
Senior level
In-Office or Remote
Hiring Remotely in Dallas, TX
Senior level
Designs and deploys advanced AI and machine learning solutions, including AI agents, RAG systems, analytical models, and data products on Google Cloud Platform. Responsibilities include preparing structured and unstructured data, developing AI agent tools, applying NLP and deep learning, collaborating with customers and stakeholders, generating business insights, and communicating analytical results.
The summary above was generated by AI

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

  • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data.
  • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources.
  • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
  • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement.
  • Develop and deploy AI and ML solutions on Google Cloud Platform.
  • Utilize massive data sources to craft business insights and features for innovative solutions.
  • Understand diverse data sources, both structured and unstructured.

Requirements
  • 7+ years of overall experience, 4+ years working as a GenAI Data Scientist.
  • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
  • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development.
  • Experience with agents frameworks (preferably Langchain).
  • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc.
  • Experience with proprietary and/or open source LLMs.
  • Experience in prompt engineering.
  • Experience with RAG and Vector Databases

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Similar Jobs

3 Hours Ago
Remote or Hybrid
United States
55K-70K Annually
Mid level
55K-70K Annually
Mid level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Provides financial support for group insurance clients through billing management, financial reporting, data analysis, reconciliations, revenue projections, audits, and data integrity oversight. Partners with internal and external stakeholders on implementations, renewals, underwriting, and client presentations. Documents and improves financial processes, supports compliance requirements, monitors financial trends and metrics, and contributes to cross-functional initiatives that improve operational effectiveness.
Top Skills: Ai-Enabled ToolsExcelMS Office
6 Hours Ago
Remote or Hybrid
United States
Senior level
Senior level
Fintech • Software
Develop and maintain dashboards, reports, scorecards, KPI solutions, and analytical models that provide business performance insights. Responsibilities include trend and root-cause analysis, forecasting, data validation, stakeholder requirements gathering, reporting automation, process improvement, documentation, and data quality governance. The role partners with cross-functional teams and communicates findings to technical and non-technical audiences.
Top Skills: CopilotDaxExcelPower BIPower QuerySQL
7 Hours Ago
Remote
United States
150K-300K Annually
Mid level
150K-300K Annually
Mid level
Artificial Intelligence • Healthtech • Insurance • Machine Learning • Payments
Drive enterprise SaaS and services sales to health insurance plans within an assigned territory. Responsibilities include prospecting, nurturing, and closing high-value opportunities; delivering customized presentations and product demonstrations; exceeding revenue targets; tracking pipelines and forecasts in HubSpot; and communicating AI platform value, ROI, and payer-market insights to health plan executives.
Top Skills: AIData ScienceHubspot CrmLlmsSaaS

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account