Sr. Data Scientist/Consultant - Streamlit

Posted 9 Days Ago
2 Locations
In-Office or Remote
6-6
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
Lead the development of data applications using Streamlit, apply machine learning techniques, and mentor junior data scientists while collaborating with cross-functional teams.
Summary Generated by Built In
Description

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.
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.

Top Skills

Airflow
AWS
Azure
GCP
Kubeflow
Numpy
Pandas
Python
SQL
Streamlit
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The Company
Bengaluru, Bengaluru
5,000 Employees
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

In India, our offices are located in Chennai, Hyderabad and Bangalore.

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