Job Description: - Lead and take part in end-to-end ML (Machine Learning) projects deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions. - Need to deliver solutions to production through the software development lifecycle. - You will have to push the state of the art application in terms of data mining, visualization, predictive modelling, statistics, trend analysis, and other data analysis techniques to solve complex business problems including recommender systems, Customer sentiment modelling, customer life-cycle modelling, Spare parts inventory optimization, spare parts pricing, warranty, After market channel effectiveness. - Write production ready code and deploy real time ML models; expose ML outputs through APIs. - Hypothesis Testing and Design of experiments to analyze and monitor results - Partner with Data/ML engineers and vendor partners for input data pipes development and ML models automation. Educational Requirements: B.Tech / M.Tech in Computer Science or any quantitative discipline from premier institutes across India Job Requirements: - Over 5+ years of Applied Machine learning experience in the fields of Machine Learning, Recommender Systems, Statistical Modelling, Predictive Modelling. - Applied experience with Machine Learning on Large Datasets. - End-to-end hands on experience in data gathering, preparation, feature engineering, model building, validation, and productionizing at scale. - Have a significant research expertise/accomplishment, theoretical depth and business experience in the e-commerce, customer analytics and marketing areas. - Expert Python Programmer: SQL, extremely proficient with the SciPy stack (e.g. NumPy, pandas, scikit learn, matplotlib); - Proficiency in work with open source deep learning libraries like TensorFlow, Keras, Pytorch - Knowledge of the Big Data Ecosystem: (Apache Spark, Hadoop, Hive, EMR, Map) - Proficient in Cloud Technologies and Service (Azure Databricks, ADF, Databricks MLflow) - A demonstrated ability to mentor junior data scientists and proven experience in collaborative work environments with external customers - Proficient in communicating technical findings to non-technical stakeholders Note: We are looking for candidates who are serving their notice at present or who can join immediately/ within 15-20 days

Bangalore

Scienaptic - Senior Data Scientist 

Scienaptic - Senior Data Scientist  ,Job Description for Scienaptic - Senior Data Scientist  in Scienaptic Systems in  Bangalore for (5-7) years of experience. Apply Now!

Job Description for Scienaptic - Senior Data Scientist  in Scienaptic Systems in  Bangalore for (5-7) years of experience. Apply Now!