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Mid-Level Data Scientist

Novanectar Services Pvt. Ltd.
Experience0-2 years
Salary INR 133333 - 183333 per hourly
Job TypeFull time
Skills: Data Science Python SQL Pandas NumPy Statistics Machine Learning Power BI Tableau
Job Description
Job Title: Mid-Level Data Scientist Company: Novanectar Services Pvt. Ltd. Job Category: Data Science Roles & Responsibilities: Key Responsibilities * Perform advanced Exploratory Data Analysis (EDA) to identify trends and business insights. * Design, develop, train, and validate Machine Learning models. * Perform feature engineering, model selection, and hyperparameter tuning. * Apply statistical techniques, regression analysis, hypothesis testing, and A/B testing. * Develop predictive models for classification, regression, and clustering. * Work with Python libraries such as Pandas, NumPy, and Scikit\-learn. * Deploy ML models using basic MLOps practices. * Work with large datasets using SQL. * Collaborate with data engineers to improve data pipelines. * Present analytical findings and model performance to stakeholders. Work Location: In person Work Location: Karnataka, India Availability: Full time
Requirements
Job Title: Mid\-Level Data Scientist Location: Bangalore, India Experience: 0-2 years Employment Type: Full\-Time Position Level: Mid\-Level * Strong proficiency in Python and Object\-Oriented Programming (OOP). * Hands\-on experience with Pandas, NumPy, and Scikit\-learn. * Strong understanding of Machine Learning algorithms and model evaluation. * Knowledge of statistical modelling, hypothesis testing, and A/B testing. * Strong SQL skills and experience with large datasets. * Working knowledge of TensorFlow or PyTorch. * Basic understanding of Docker, model deployment, and MLOps. * Exposure to AWS, Azure, or GCP. * Experience with Power BI or Tableau. * Strong analytical, problem\-solving, and communication skills. Education B.Tech, M.Tech, M.Sc, or equivalent degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * Knowledge of NLP, Transformers, or Large Language Models (LLMs). * Exposure to Computer Vision and Deep Learning. * Familiarity with MLflow or Weights \& Biases. * Knowledge of Spark, Hadoop, or Databricks. * Experience with production Machine Learning systems. Key Skills: Data Science, Python, SQL, Pandas, NumPy, Statistics, Machine Learning, Power BI, Tableau Salary: INR 133333 - 183333 per hourly
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