Work from Office
Full Time
o Collaborat ing with stakeholders to understand business objectives and develop data science strategies aligned with those objectives.
o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems .
o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis.
o Explor ing and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets .
o Develop ing predictive/prescriptive models, algorithms, and prototypes to support business.
o H av ing working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system.
o Having hands-on experience in Forecasting using traditional ML and Deep Networks.
o Perform ing statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms.
o Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations.
o Understanding CI/CD processes in product deployment and used it in delivery.
o Understanding of the Dockerization , REST APIs.
o Working knowledge on software development processes.
o Stay up to date with the latest trends and advancements in data science, machine learning, and AI
o Advanced degree (Master's or Ph.D.) in a quantitative field such as Data Science, Computer Science, or Statistics, or Bachelors degree (BE. BTech, BS) with demonstrated equivalent practical experience.
o 5+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms.
oA masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field .
oStrong programming skills in languages such as Python .
oExposure to the industrial engineering domain is preferred.
oKnowledge of big data technologies such as Hadoop, Spark, or Hive is a plus.
oProficient in the use of data science tools .
oA collaborative, team-oriented attitude with a proactive mindset .
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