Location
Bangalore | India
Job description
We are looking for Data Scientists to help us create innovative machine learning solutions. Data Scientist responsibilities include understanding the business problem and experimenting with different modelling architectures to create the best possible setup from model performance as well as computational performance. To do this job successfully, you need exceptional skills in Machine Learning and Programming. Your goal will be to find the best data-based solution for the problem at hand.
Job Description
- Understanding business objectives and formulating the problem as a Data Science problem Design, train, and deliver Data Science solutions using all modalities (tabular, text, image) and of all sizes(small, or big data)
- Develop and maintain robust data processing pipelines and reproducible modelling pipelines
- Explore data and communicate insights clearly to non-technical as well as technical audiences Analyze experimental results, iterate and refine models to create significant business impact
- Ability to guide and mentor junior Data Scientists on solution development
Requirements
- Bachelor s Degree in a Quantitative discipline, preferably Computer Science 3 years experience in data science/Analytics roles Proven experience as a Data Scientist or similar role
- Expert ability to write robust code in Python Expert skill at manipulating data frames using Pandas and arrays using Numpy Familiarity with standard machine learning libraries (like scikit-learn , StatsModels)
- Excellent verbal and written communication skills You take complete ownership of your work and are self-driven
- Good to Have Deep Learning Frameworks like Tensorflow, PyTorch etc
- Working knowledge of OpenCV Completed Projects on Computer Vision and Natural Language Processing Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting In-depth understanding of classical statistical forecasting algorithms like ARIMA, ETS, etc as well as new age algorithms like N-Beats
- 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
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