Senior Data Scientist - Deep/Machine Learning

Job Description : Responsibilities : - Execute the full Machine Learning lifecycle feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. - Apply Supervised and Unsupervised Machine Learning techniques, including, Forecasting, Anomaly Detection, and Pattern Detection. - Utilize a range of algorithms such as Decision Trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, and Deep Learning. - Ensure compliance with regulatory standards for data handling and classification. - Proficiency in SQL and relational databases, along with experience in Big Data technologies (Spark/Hadoop) and Cloud technologies. - Conduct statistical and machine learning methods like A/B testing, experiment design, causal inference, and recommendation systems. - Define and develop Key Performance Indicators (KPIs) and create reports to measure the impact of tests, content releases, and product : - Preferred PhD or Master's degree in engineering, technology, computer science, machine learning, operations research, statistics, mathematics, or equivalent quantitative field. Master's degree in Statistics, Economics, or a quantitative discipline, or equivalent practical experience is an added advantage. - 4 - 7 years of experience as a statistician, or data scientist, including statistical data analysis with linear models, multivariate analysis, stochastic models, and sampling methods. - Sound knowledge of ETL practices, preferably using Spark in Data Bricks or similar cloud big data technologies like Microsoft Azure or AWS. - Experience with traditional and modern statistical techniques such as Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and Ensemble Methods. - Proficiency in analytical programming languages (Python or R) and SQL, along with experience in statistical software like R, Python, MATLAB, and pandas. - Strong understanding of machine learning models, feature engineering, validation, scaling, deployment, and monitoring. - Ability to work independently and in a team environment. - Strong problem-solving skills and attention to detail. - Excellent communication and presentation skills. - Proven track record of delivering high-quality data science solutions. - Experience with programming languages for ETL operations and data analysis, including Python, Java, C++, and R. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/22/2024