Data Scientist
1 month ago
About HealthPlix
HealthPlix through its assistive-AI-powered EMR software empowers doctors to drive Better
Health Outcomes for their patients by providing Clinical Decision Support at the point of
care. Currently, 1.2+ crore patients across India have been treated through the HealthPlix
EMR platform by doctors practicing across 20+ specialties. Our doctor base makes us the
largest EMR software used by doctors to digitize the care in Indian healthcare. We can
leverage the de-identified data to provide market trends and real-world insights to our
pharmaceutical clients. We work with them to understand the strategic and tactical
problems they are facing and solve the same.
Role expectations:
The Junior Data Scientist will work with cross functional teams across Data Science, Product
and Sales teams. As a Junior Data Scientist, you will be supporting the development and
deployment of data-driven solutions to solve complex business problems. You will work
closely with senior data scientists, data engineers, and cross-functional teams to extract
actionable insights from data, build predictive models, and contribute to the overall data
strategy of the organization. High level of integrity is a key requirement as we are dealing with
extremely sensitive and confidential healthcare data.
Responsibilities:
Collect, clean, and preprocess data from various sources and databases.
Processing confidential data and information according to guidelines.
Implement statistical and machine learning algorithms for predictive modeling.
Conduct model testing and validation, including performance evaluation.
Converting business requirements from client to data driven output
Collaborate effectively with cross-functional teams, including data engineers and
business analysts.
Take initiative to learn and experiment with new techniques and tools.
Requirements:
Bachelor's degree from reputed Engineering colleges.
1-3 years of work experience in data Science, preferably in a startup.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
Proficiency in using query languages such as SQL and experience of working with
relational and non-relational databases like MySQL, PostGres, Presto, Mongo
(Athena/redshift experience is an added advantage).
Proficiency in any modern BI tools like Tableau
Understanding of Python for Data pre-processing/building models using numpy,
pandas, scikit, tensorflow. NLP and LLM understanding is good to have.
Understanding of Basic Statistics.
Previous experience with version control systems (e.g., Git).
High-level written and verbal communication skills.
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