About the role
leverage your strong collaboration skills and ability to extract valuable insights
from highly complex data sets to ask the right questions and find the right
answers. You are a data pro with deep statistical knowledge and analytical
aptitude. You know how to make sense of massive amounts of data and gather
deep insights. You will use statistics, data mining, machine learning, and deep
learning techniques to deliver data-driven insights for clients. You are a thought
leader with a commercial acumen, always on top of AI and ML trends.
Responsibilities
● Analyse raw data: assessing quality, cleansing, structuring for
downstream processing
● Design accurate and scalable prediction algorithms
● Collaborate with engineering team to bring analytical prototypes to
production
● Generate actionable insights for business improvements
Qualifications
● Have worked on Physician segmentation, physician behavior modeling,
drug prescribability, drug prescription churn, physician prioritization
● At least 2-4 years’ developing Machine Learning methods
● At least 2-5 year Deep learning experience
● Have worked on Medical claims data (patient medical journeys,
medical insurance claims, patient ICD-9/10 code medical journey)
● Deep understanding of predictive modeling, machine-learning,
clustering and classification techniques, and algorithms
● Fluency with Python, Database(MySQL/Postgres/MongoDB), Git
versioning, Data Analysis Libraries(NumPy, Pandas,
Statsmodels, Dask), Machine Learning Libraries( Scikit-learn),
Deep Learning Libraries(Tensorflow/Keras/Pytorch/), Data
Visualization Libraries(Matplotlib, Plotly)
● Familiarity with Big Data frameworks and visualization tools
(Cassandra, Hadoop, Spark, Tableau)
● Familiarity with AWS or Azure
Optional
· Team lead experience
· Consulting background
· clustering, auto-regression models, NER, topic modeling, object
detection, semantics/instance segmentation, object tracking,
· Good understanding of Word2vec, RNNs, Transformers, Bert, Resnet,
MobileNet, Unet, Mask-RCNN, Siamese Networks, GradCam, image
augmentation techniques, GAN, Tensorboard
· Deployment - Flask, Tensorflow serving, Lambda functions, Docker