Python Developer
Delhi, Delhi, India
- 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 Weekday’s clients
Salary range: Rs 1500000 - Rs 3500000 (ie INR 15-35 LPA)
Min Experience: 3 years
Location: Delhi NCR
JobType: full-time
Requirements
We’re looking for a Data Scientist (3 – 7 years’ experience) who can design and build scalable data-driven solutions, work with large datasets, and collaborate closely with product, engineering, and ML infrastructure teams. You’ll own projects end-to-end—from problem scoping, data exploration, model development, and evaluation to deployment and performance monitoring in a fast-paced, experimentation-driven environment.
Responsibilities
- Collaborate with cross-functional teams to identify high-impact business problems that can be solved with data.
- Design and develop predictive models, statistical algorithms, and machine learning solutions.
- Own the full lifecycle of model development: data wrangling, feature engineering, training, validation, testing, and deployment.
- Drive experimentation and A/B testing frameworks to validate hypotheses and measure model impact.
- Ensure reproducibility, scalability, and reliability of data science workflows in production.
- Communicate insights and recommendations clearly to stakeholders through visualizations and storytelling.
What We’re Looking For
- 3–7 years of experience in data science or machine learning roles.
- Strong programming skills in Python and deep understanding of libraries like Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
- Solid knowledge of statistics, probability, and machine learning algorithms.
- Experience with SQL and working with structured and unstructured data at scale.
- Familiarity with deployment pipelines, APIs for model serving, and observability tools is a plus.
- Curiosity-driven mindset with a bias for action and experimentation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing APIs Engineering Feature engineering Machine Learning ML infrastructure ML models NumPy Pandas Pipelines Python PyTorch Scikit-learn SQL Statistics TensorFlow Testing Unstructured data
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