Tiger Analytics Logo

Tiger Analytics

Senior/Lead Data Scientist - Agentic AI

Posted Yesterday
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

22 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
92K-182K Annually
Senior level
92K-182K Annually
Senior level
Big Data • Cloud • Software • Database
Develop and execute lifecycle and growth marketing programs for B2B SaaS developers, driving platform adoption, retention, expansion, and revenue. Own campaigns across onboarding, activation, re-engagement, and monetization; optimize messaging, channels, and user journeys through experimentation and A/B testing. Partner with Product, Analytics, Data Science, Customer Success, Product Marketing, and Developer Relations. Analyze customers, markets, and KPIs to identify growth opportunities and deliver measurable programs.
Top Skills: AWSGCPAzureMongodb Atlas
26 Minutes Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads physician and facility provider contracting strategies, complex negotiations, reimbursement analysis, network adequacy, affordability targets, contract implementation, and performance management. Manages financial models, unit cost budgets, market intelligence, provider relationships, escalations, and cross-functional partnerships. Provides team direction, coaching, executive communication, and governance to deliver financially sound agreements, stable networks, and measurable business results.
Top Skills: Asc GroupersDrg-Based ReimbursementFinancial ModelingMedicare Rbrvs
33 Minutes Ago
Remote or Hybrid
United States
150K-212K Annually
Senior level
150K-212K Annually
Senior level
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Lead consumer strategy and business development for Coursera-Udemy’s global direct-to-consumer ecosystem. Identify, negotiate, and execute strategic partnerships that expand distribution, increase revenue, and improve engagement and retention. Manage the full partnership lifecycle, from opportunity assessment and outreach through negotiations, onboarding, integration, and performance monitoring. Collaborate with Product, Engineering, Design, Marketing, Legal, Finance, and Data teams while analyzing market opportunities and tracking acquisition and growth metrics.

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account