Senior Data scientist

We are seeking a Senior Data Scientist with a specialization in Generative AI to join our dynamic team. In this role, you will engage with clients to understand their business contexts and tackle a wide spectrum of cutting-edge data science and machine learning challenges across diverse industries. If you are driven by solving complex, unstructured business problems using advanced data science and machine learning techniques, we encourage you to apply.

Function: Data Science and Analysis, Data Science / Machine Learning

Key Responsibilities:

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

Desired Skills & Competencies:

• Strong learning acumen and a high sense of ownership.
• Excellent team management and collaboration skills.
• Ability to thrive in a fast-paced, deadline-driven environment.
• A passion for technology and innovation.
• Highly skilled in data interpretation and problem-solving.
• Good exposure to machine learning concepts, algorithms, and Generative AI.
• Fluency in at least one programming language: Python, R, or Java.
• Strong understanding of statistical and machine learning concepts.
• Proficiency with Python libraries such as SciPy, NumPy, Pandas, and Scikit-learn.
• Knowledge of distributed big data processing tools and environments, including PySpark, Jupyter, Linux, and AWS.

Experience & Education:

• 2.5 to 3.5 years of relevant Machine Learning experience.
• A Bachelor of Technology (B. Tech) from a Tier-1 college, or a Master of Science (M.S.) or Master of Technology (M. Tech) in Computer Science, Information Technology, or a related field is preferred.