Data Scientist 3
India - Remote
- Remote-first
- Website
- @weekdayworks 𝕏
- Search
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Min Experience: 2 years
Location: India
JobType: full-time
We are looking for forward-thinking and driven professionals to join us on an exciting journey to transform healthcare through AI. As a member of our team, you’ll collaborate with leading healthcare providers, leveraging AI-powered Remote Patient Monitoring (RPM) solutions to address critical industry challenges — from enhancing operational efficiency to improving patient outcomes and shaping future care delivery models.
Requirements
Key Responsibilities:
- Design, develop, and optimize machine learning algorithms to address complex healthcare challenges.
- Leverage healthcare datasets to generate meaningful insights and contribute to academic case studies and publications.
- Collaborate with product and marketing teams to extract actionable feedback and support ongoing optimization.
- Enhance and upgrade existing data pipelines and machine learning workflows for improved performance and scalability.
- Ensure solutions meet business requirements in terms of reliability, accuracy, and speed.
- Stay current with advancements in AI/ML technologies and ensure the software stack reflects industry best practices.
Required Qualifications:
- Minimum of 5 years of experience in data science or a related role.
- Strong foundation in statistics and machine learning principles.
- Proficient in scripting and programming languages, preferably Python (Julia or R also considered).
- Experience working with time-series data and large-scale datasets.
- Hands-on experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
- Familiarity with big data tools such as Spark or Hadoop and the ability to contribute to pipeline development.
- Strong analytical and design skills, with a critical mindset and the ability to evaluate and improve current systems.
- Excellent data storytelling and communication skills.
Skills:
Python, TensorFlow/Keras/PyTorch, Time-Series Analysis, Spark/Hadoop, Statistical Modeling, Data Pipeline Optimization
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Data pipelines Deep Learning Hadoop Julia Keras Machine Learning Pipelines Python PyTorch R Spark Statistical modeling Statistics TensorFlow
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.