Lead Data Scientist – GenAI

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November 14

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Tiger Analytics

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Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. • Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. • Stay up to date with industry advancements in AI and apply modern technologies and methodologies to our systems. • Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as gcp, vertex ai, s3, AWS bedrock, Spark streaming, or similar. • Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc. • Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. • Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. • Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. • Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. • Apply AI solutions to insurance-specific data use cases and challenges. • Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.

🎯 Requirements

• 7 years of experience working as a GenAI Data Science. • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git • 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

🏖️ 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.***