Job Location: Noida
What You’ll Need :
1. Masters (or) PhD in Computer Science, Statistics, Operations Research, Economics, or other quantitative discipline strongly preferred,
2. Experience in research and development. Conference papers at reputed AIML platforms (ICML, NIPS, AAAI) will be a big plus,
3. Experience in Time series modeling (classical methods like ARIMA, STL Forecast). Understanding and implementing active research in Time series forecasting (Bayesian Forecasting, Hierarchical Forecasting),
4. Hands on experience in implementing Deep learning models with textual data time series data (CNN, LSTM’s) will be a great plus,
5. Expertise in SCALA (or) functional programming paradigmPythonR
6. Experience in big data technologies like Spark, Hive, Hadoop,
7. Experience in understanding business needs and translating to a data-science problem,
8. Knowledge of the Industry 4.0 process – inventory optimization, smart factory, times optimization, quality control, and industrial automation,
9. Great communication skills, organized, able to multitask and be a team player, and
10. Excellent written and oral communication skills on both technical and non-technical topics.
Skills Required : Python, Regression, Data Structure
Roles :
What You’ll Do :
– Create data-science and machine learning products in supply-chain and inventory space,
– Build & deploy production scale models on large-scale datasets using machine learning (or) deep learning technologies for Industry 4.0 research,
– Work with cross-functional teams to implement and deploy data science products,
– Leverage large scale data processing such as Spark, Hive into the data-science products,
– Provide analysis using mathematical modeling tools to improve business processes and decisions,
– Define creative solutions to business problems using advanced mathematical algorithms,
– Communicate with senior management and cross-functional teams, and
– Facilitate deep technical discussions with end-users and partners.
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