OLA ELectric - Data Scientist - Research Engineer I - Manufacturing & Optimisation

Job Summary

Data Scientist is expected to develop products for Manufacturing based problem statements using state of the art Machine Learning, Deep Learning, Statistics and Linear Algebra.

Key Result Areas (Accountability & Responsibility of the role)

- Perform research and development on Machine Learning specifically in the areas of Manufacturing and Supply Chain Management

- Read and keep up with the research in Statistics, Machine Learning, Deep Learning

- Understand and implement research papers to the business problem and build the technology

- Contribute to applied research and open source community

Key Skills Required

Minimum Qualifications

- Bachelors / Masters in Computer Science, Operations Research-optimizations, Applied Mathematics/Statistics/Econometrics, or similarly highly quantitative field

- 2-4 years of industrial experience in manufacturing, supply chain sector modeling, and analysis. Manufacturing and Supply chain management background is a must

- Hands-on experience in classical machine learning algorithms, statistics. Deep learning knowledge would be a plus

- Selecting features, building and optimizing classifiers/regressors, etc. using machine learning & deep learning techniques

- Help enhance data collection procedures to include information that is relevant for building analytical systems

- Strong problem solving and abstract thinking skills

- Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, etc.

- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoast, H2O, etc.

- Extensive experience using R, Matlab, or similar open-source statistical software e.g., sci-kit-learn, Weka, etc. building production-quality models

- Machine learning and data modeling applications

- Strong communication and data presentation skills

- Well developed ability to transform business requirements into fundamental data science framework, and then implement the results in efficient, scalable software

Preferred Qualifications

- 2+ years of industry experience in machine learning modeling and analysis, predictive software development

- Experience handling gigabyte and terabyte size datasets

- Experience working with manufacturing and supply chain companies.

- Experience working with distributed systems and grid computing

- Publications or presentation in recognized Machine Learning and Data Mining journals/conferences

Software/Tools/System Exposure

- 2+ years of experience in Manufacturing and Supply chain

- 2+ years of experience developing Machine learning Models

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