About the role
Tiger Analytics is looking for an experienced Senior Data Scientist to join our team. As a leading advanced analytics consulting firm, we help Fortune 500 companies generate valuable insights from their data. With our deep expertise in Data Science, Machine Learning, and AI, we deliver innovative solutions to complex business problems. As a Lead Data Scientist at Tiger Analytics, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics.
Key Responsibilities:
- Design, develop, and deploy interactive data applications and dashboards using Streamlit.
- Apply advanced statistical modeling, machine learning, and data mining techniques to solve complex business problems.
- Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into scalable data science solutions.
- Build end-to-end pipelines for data ingestion, preprocessing, modeling, and visualization.
- Optimize and productionize models for scalability and performance in cloud environments (AWS, GCP, or Azure).
- Mentor junior data scientists and contribute to best practices in clean coding, reproducibility, and MLOps.
- Stay updated with the latest in AI/ML frameworks, visualization libraries, and emerging
Requirements
- 6+ years of professional experience in Data Science or Machine Learning.
- Strong proficiency in Python, SQL, and data manipulation libraries (Pandas, NumPy).
- Hands-on experience building Streamlit applications
- Solid background in machine learning algorithms, statistical modeling, and optimization.
- Experience with cloud platform (AWS, GCP, or Azure) and ML pipeline tools (Kubeflow, Airflow, etc.).
- Excellent problem-solving, communication, and stakeholder management skills.
About Tiger Analytics
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
About the role
Tiger Analytics is looking for an experienced Senior Data Scientist to join our team. As a leading advanced analytics consulting firm, we help Fortune 500 companies generate valuable insights from their data. With our deep expertise in Data Science, Machine Learning, and AI, we deliver innovative solutions to complex business problems. As a Lead Data Scientist at Tiger Analytics, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics.
Key Responsibilities:
- Design, develop, and deploy interactive data applications and dashboards using Streamlit.
- Apply advanced statistical modeling, machine learning, and data mining techniques to solve complex business problems.
- Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into scalable data science solutions.
- Build end-to-end pipelines for data ingestion, preprocessing, modeling, and visualization.
- Optimize and productionize models for scalability and performance in cloud environments (AWS, GCP, or Azure).
- Mentor junior data scientists and contribute to best practices in clean coding, reproducibility, and MLOps.
- Stay updated with the latest in AI/ML frameworks, visualization libraries, and emerging
Requirements
- 6+ years of professional experience in Data Science or Machine Learning.
- Strong proficiency in Python, SQL, and data manipulation libraries (Pandas, NumPy).
- Hands-on experience building Streamlit applications
- Solid background in machine learning algorithms, statistical modeling, and optimization.
- Experience with cloud platform (AWS, GCP, or Azure) and ML pipeline tools (Kubeflow, Airflow, etc.).
- Excellent problem-solving, communication, and stakeholder management skills.
About Tiger Analytics
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.