Tiger Analytics Logo

Tiger Analytics

Senior Data Scientist - Gen AI & NLP

Posted 3 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Canada
Senior level
In-Office or Remote
Hiring Remotely in Canada
Senior level
Lead design, development, and deployment of GenAI and NLP solutions (RAG, LLM-powered apps, agentic AI, Document Intelligence). Work with clients to translate business needs, build end-to-end ML pipelines, mentor teams, present results to stakeholders, and operationalize scalable, governed AI systems.
The summary above was generated by AI

Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. Our consultants 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.

We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Responsibilities:

  • Work on the latest applications of data science to solve business problems
  • Work directly with client stakeholders to translate business problems into high level analytics solution designs
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
  • Design and develop machine learning and Generative AI solutions using RAG
  • Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph
  • Develop agentic AI workflows for automation, insights generation, and decision support
  • Implement Document Intelligence solutions for extracting insights from unstructured data
  • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution

Requirements
  • 7+ years of experience working as a GenAI Data Science.
  • Proficiency in Python and SQL
  • Experience with MLflow and model lifecycle management
  • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
  • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
  • Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
  • Experience with Bedrock, JumpStart, HuggingFace
  • Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
  • Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
  • Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
  • Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science.
  • Experience building end-to-end ML pipelines in production
  • Familiarity with CI/CD pipelines, monitoring, and model governance
  • Ability to design scalable and reliable AI systems
  • Bachelor's in Business Analytics or equivalent work experience.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and 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

33 Minutes Ago
Remote or Hybrid
2 Locations
Senior level
Senior level
Gaming • Information Technology • Mobile • Software • Esports
Lead design and build high-quality combat arenas in-engine, define arena standards and combat pacing, iterate with Game Designers, prototype enemy/mechanic synergies, own level creation in production, and document best practices to raise overall game quality.
Top Skills: Unreal Engine 4Unreal Engine 5
10 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Drive new SaaS license revenue through account and territory planning, prospect research, and field sales. Build C-suite relationships, orchestrate cross-functional account teams, act as trusted advisor on IT and AI integration, identify and involve specialists at the right time, and close deals while meeting sales targets.
Top Skills: AIArmisSaaSServicenowVeza
14 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead regulatory trade compliance initiatives, develop and maintain compliance programs, guide teams through audits and risk assessments, provide strategic regulatory advice, and coach staff. Apply systems thinking to identify risks, craft clear communications, validate outcomes with stakeholders, and reinforce professional standards and the firm’s code of conduct.

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account