Data Scientist with Statistics Skills
Locations: Indore, Madhya Pradesh, India; Noida, Uttar Pradesh, India; Gurgaon, Haryana, India; Bangalore, Karnataka, India; Pune, Maharashtra, India
Experience: 7 to 10 years
Job Reference Number: 13070
Qualifications
Hands-on experience working with SAS to Python conversions.
Strong mathematics and statistics skills.
Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
Ability to understand business requirements.
Experience in deriving use cases and creating solutions from structured/unstructured data.
Proficiency in storytelling, business communication, and documentation.
Programming skills in SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras.
Experience in exploratory data analysis (EDA).
Knowledge of machine learning and deep learning algorithms.
Proficiency in model building, hyperparameter tuning, and performance evaluation.
Experience with MLOps, data pipelines, and data engineering.
Strong foundational knowledge in statistics, including probability distributions and hypothesis testing.
Experience in time series modeling, forecasting, image/video analytics, and natural language processing (NLP).
Familiarity with ML services from AWS, GCP, Azure, and Databricks.
(Optional) Basic knowledge of Databricks, Spark, and Hive for big data handling.
Skills Required
Python
SAS
Machine Learning
Role and Responsibilities
Responsible for converting SAS code to Python.
Acquire and apply skills required for building and deploying machine learning models in production.
Perform feature engineering, exploratory data analysis, pipeline creation, model training, and hyperparameter tuning on both structured and unstructured data sets.
Develop and deploy cloud-based applications, including LLM/GenAI solutions, into production environments.
