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Innovaccer
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Lead Data Scientist

Lead Data Scientist

Innovaccer

7 - 12 years

22 - 37 Lacs

noida

Posted:1 day ago| Platform:

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Skills Required

data scientist mlops python enterprise applications databricks machine learning research healthcare analytics deep learning tensorflow nlp data science azure ml computer vision pytorch azure communication skills ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

At Innovaccer, we believe that data is the key to transforming healthcare. As a Lead Data Scientist, you will play a pivotal role in our mission to harness the power of data to drive better healthcare outcomes. Your deep expertise in data science and machine learning will help shape our analytics strategy and influence critical decision-making processes. You will lead a talented team of data scientists and collaborate closely with cross-functional teams to design and implement innovative solutions that address real-world healthcare challenges.

You'll build and oversee advanced machine learning models to derive insights from vast datasets, ensuring that our products and services meet the needs of our end-users and partners. If you are an innovative thinker with a passion for making a difference in healthcare through analytics, we want to hear from you!

Requirements

Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred)
7+ years of experience in Data Science (healthcare experience will be a plus)
Strong written and spoken communication skills
Strong hands-on experience in Python - building enterprise applications alongwith optimization techniques.
Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAl pipelines - knowledge of implementing agentic workflows is a plus.
Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow.
Has keen interest in research and stays updated with key advancements in the area of Al and ML in the industry.
Deep understanding of classical ML techniques - Random Forests, SVM, Boosting, Bagging - and building training and evaluation pipelines.
Demonstrate experience with global and local model explainability using LIME, SHAP and associated techniques.
Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s
Experience in developing and deploying production ready models
Knowledge of implementing an MLOps framework.

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Innovaccer

Healthcare IT

Irvine

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Lead Data Scientist