Data Scientist With Statistics Skills Impetus Technologies
Impetus Technologies
Office Location
Full Time
Experience: 7 - 7 years required
Pay:
Salary Information not included
Type: Full Time
Location: Indore
Skills: SAS, Python, Exploratory data analysis, Machine Learning, Model building, Data Engineering, Forecasting, natural language processing, aws, GCP, Azure, hive, Scikitlearn, Tensorflow, PyTorch, Keras, Deep Learning Algorithms, Hyperparameter Tuning, Model performance metrics, MLOps, data pipeline, Statistics knowledge, Time Series Modeling, ImageVideo Analytics, ML services from Clouds, Databricks, Big Data Basic knowledge of Spark
About Impetus Technologies
Job Description
Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India;Gurgaon, Haryana, India;Bangalore, Karnataka, India;Pune, Maharashtra, India Qualification : 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. Use case derivation and solution creation from structured/unstructured data Storytelling, Business Communication, and Documentation Programming Skills SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning, and Model performance metrics MLOps, Data Pipeline, Data Engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure, and Databricks Optional - Databricks, Big Data -Basic knowledge of Spark, Hive Skills Required : Python, SAS, Machine Learning Role : Responsilbe for SAS to python code conversion. Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. skills Develop and deploy cloud-based applications, including LLM/GenAI, into production. Experience : 7 to 10 years Job Reference Number : 13070,