Data Scientist / Senior Data Scientist

About the job

As a Data Scientist / Senior Data Scientist at Tiger Analytics, you will be a part of a global leader in AI and analytics, working with Fortune 1000 companies to solve complex challenges. Your role will involve designing, building, and deploying end-to-end forecasting models using statistical and machine learning techniques such as ARIMA, Prophet, deep learning models, and XGBoost. You will utilize PySpark to process, clean, and engineer features from large, distributed datasets. Key Responsibilities: • Design, build, and deploy end-to-end forecasting models using statistical and machine learning techniques • Utilize PySpark for processing, cleaning, and engineering features from massive datasets • Analyze large-scale datasets to identify trends, seasonality, and key drivers • Develop and maintain automated data and forecasting pipelines in a production environment • Work closely with cross-functional teams to ensure solutions align with business goals • Present complex methodologies and results to technical and non-technical audiences • Stay up-to-date on industry trends and propose innovative solutions for improved forecast accuracy.

Requirements

• Python
• PySpark
• SQL
• Machine Learning
• Deep Learning
• ARIMA
• Prophet
• XGBoost

Qualifications

• 5+ years of professional experience in data science, forecasting, or advanced analytics
• A bachelors or masters degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.

Preferred Technologies

• Python
• PySpark
• SQL
• Machine Learning
• Deep Learning
• ARIMA
• Prophet
• XGBoost

Benefits

• Health insurance (self & family)
• Virtual wellness platform
• Knowledge communities