DATA SCIENTIST @ GREEN TREE
This is an urgent hiring notice for an experienced Data Scientist to join the team at Green Tree. The ideal candidate will have substantial experience, specifically 6+ years in the field, and a strong background in utilizing data-driven insights to solve complex business problems. The role is based in Gurgaon, India, and requires expertise in developing, implementing, and maintaining robust statistical models and machine learning pipelines. The work environment is fast-paced and demands a high level of analytical rigor.
The successful Data Scientist will be responsible for leading data initiatives, working closely with cross-functional teams to identify opportunities for leveraging company data to drive growth and efficiency. This position demands deep technical knowledge in data manipulation, exploratory data analysis, algorithm selection, and model validation. Candidates must be self-motivated, possess excellent problem-solving skills, and be ready to tackle challenging, high-impact projects immediately.
The successful Data Scientist will be responsible for leading data initiatives, working closely with cross-functional teams to identify opportunities for leveraging company data to drive growth and efficiency. This position demands deep technical knowledge in data manipulation, exploratory data analysis, algorithm selection, and model validation. Candidates must be self-motivated, possess excellent problem-solving skills, and be ready to tackle challenging, high-impact projects immediately.
Key Requirements
6+ years of professional experience in Data Science or a related quantitative field.
Proficiency in statistical programming languages (e.g., Python, R) and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
Strong background in machine learning algorithms, statistical modeling, and predictive analysis.
Experience with big data technologies (e.g., SQL, Hadoop, Spark).
Ability to clean, transform, and analyze large, complex datasets.
Excellent communication and visualization skills to present complex findings to non-technical stakeholders.
Experience deploying machine learning models into production environments.
Master's degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field is preferred.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
Proven ability to drive projects from conception to completion and lead data initiatives.