Senior AI Data Scientist leading complex analytical and predictive AI workstreams at Valtech. Collaborating with teams to deliver actionable insights for high - value business problems.
About the role
- Lead Data Scientist responsible for designing and deploying Generative AI solutions. Collaborating closely with clients and mentoring teams in analytics consulting at Tiger Analytics.
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.
- Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Delivery manager leading the end - to - end execution of complex data and analytics programs at Ness. Building client relationships and driving best practices for scalable data solutions in the digital economy.
Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.
Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.
Team Lead, Digital Analytics managing the development and support of data analytics solutions at BCLC. Leading a team to enhance business intelligence capabilities for effective decision - making.
Senior Manager leading data initiatives for Treasury and Finance at TD. Collaborating with stakeholders for high - quality reporting and analytics.
Senior Data Scientist at Hungryroot, owning machine learning to personalize customer deliveries. Collaborates within a remote - first team to optimize data models and improve customer satisfaction.
Clinical Data Engineer joining a team focused on developing innovative medical devices. Supporting clinical research studies and data analysis to improve patient outcomes.
Data Scientist developing machine learning models and Power BI dashboards at a leading transit bus manufacturer. Collaborating across functions including engineering, quality, and supply chain.
Data Scientist responsible for driving target and incentive strategy for TELUS business customers. Engaging in data analytics and business strategy for measurable transformation.