About the Role

This role involves working on a wide array of advanced data science and machine learning challenges across diverse industries. You will be instrumental in translating business needs into data-driven solutions.

Function

Data Science and Analysis, Data Science / Machine Learning

Responsibilities

• Conduct hypothesis testing, generate insights, perform root cause analysis, and factor analysis.
• Develop statistical models (predictive and prescriptive) using various statistical and machine learning techniques/algorithms.
• Test, train, and improve model accuracy, and monitor model performance.
• Extract data from Enterprise Data Warehouses (EDW) and Big Data Platforms.
• Prepare datasets through base data creation, aggregation, and transformation, including Exploratory Data Analysis (EDA).

Desired Skills & Competencies

• Strong learning acumen
• Team management capabilities
• High sense of ownership
• Ability to thrive in a fast-paced, deadline-driven environment
• Passion for technology
• Excellent data interpretation skills
• Strong problem-solving abilities
• Good exposure to machine learning concepts, algorithms, and Generative AI
• Fluency in at least one of Python, R, or Java
• Proficiency in statistical and machine learning concepts
• Knowledge of Python libraries such as SciPy, NumPy, Pandas, and Scikit-learn
• Experience with distributed big data processing tools (PySpark, Jupyter) and environments (Linux, AWS)

Desired Experience & Education

• 2.5 - 3.5 years of relevant Machine Learning experience.
• B. Tech from a Tier-1 college is preferred. An M.S. or M. Tech in Computer Science, Information Technology, or a similar field is also highly desirable.