Business Process

2 weeks ago

Gurgaon, India Agilent Technologies, Inc. Full time

Understanding business objectives and formulate the problem as a Data Science problem
- Expert level proficiency in creating supervised/ unsupervised ML models
- Multivariate Time Series Forecasting and other forecasting techniques
- Develop and maintain robust data processing pipelines and reproducible modelling pipelines
- Explore data and communicate insights clearly to non-technical as well as technical audience
- Analyze experimental results, iterate and refine models to create significant business impact
- In-depth understanding of classical statistical forecasting algorithms like ARIMA, ETS, etc. as well as new age algorithms like Prophet.
- Proven experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.
- Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting.
- Proficiency with at least one Deep Learning Framework such as PyTorch, Tensorflow, etc.
- Ability to guide and mentor junior data scientists on solution development
- Expert ability to write robust code in Python
- Expert skill at manipulating dataframes using Pandas and arrays using Numpy
- Familiarity with standard machine learning libraries (like scikit-learn, StatsModels)
- Deep Learning Frameworks like Tensorflow, PyTorch etc.
- Completed Projects on Time Series Forecasting, beyond statistical algorithms like ARIMA
- Excellent verbal and written communication skills
- You take complete ownership of your work and are self-driven

Good to Have:

- Familiarity in working with AWS, SAP HANA etc.
- Experience with NoSQL databases or relational databases.

Bachelors or Masters Degree or University Degree or equivalent.

Typically 4+ years relevant experience for entry to this level.

Requires in-depth knowledge and experience in job and ability to work independently.

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

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