
1001 - 5000 employees
Founded 2011
🤖 Artificial Intelligence
🤝 B2B
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.
🕒 April 22
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1001 - 5000 employees
Founded 2011
🤖 Artificial Intelligence
🤝 B2B
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.
• Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes. • Build and deploy advanced **Deep Learning** models for large-scale structured and unstructured datasets. • Develop **Generative AI / Explainable AI** solutions to provide transparent and interpretable insights from predictive models. • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data. • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions. • Monitor model performance, retrain models, and optimize algorithms for production environments. • Mentor junior data scientists and provide technical leadership across the project. • Ensure compliance with healthcare data privacy and governance standards.
• 8–10 years of experience in Data Science / Machine Learning roles. • Strong hands-on expertise in **Forecasting models** (time series, demand forecasting, predictive analytics). • Experience with **Deep Learning frameworks** such as TensorFlow, PyTorch, or Keras. • Proven experience building **Generative AI / Explainability models** using LLMs, SHAP, LIME, or similar frameworks. • Mandatory experience working in the **Healthcare domain**. • Strong programming skills in Python, SQL, and ML libraries. • Experience with cloud platforms such as AWS, Azure, or GCP preferred. • Excellent stakeholder communication and leadership skills.
• 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.***
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