Role Summary

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 ultimate goal will be to find the best data-based solution for the problem at hand

Please apply only if you have strong hands-on experience (>2years) in solving complex business problems through advanced ML & DL techniques. Deep Learning Model Development experience is a must for this role.

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 audience
• 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
• >2 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 dataframes 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.

Analytics

15

machine learning. python, pandas, numpy

Bangalore, Karnataka, India

time series, pytorch, forecasting,

2 to 7 Years