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
- 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.
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.
