Description:

We are looking for a Senior Data Scientist with strong experience in Python and R, and a proven track record of developing and deploying machine learning models in real-world business environments.
The ideal candidate is not just academically skilled but has spent a significant portion of their professional career building data-driven solutions on the job.
This role requires someone who understands the full lifecycle of a machine learning project—from problem framing, data preparation, model development, and validation, to deployment and continuous improvement.
Key responsibilities include designing, building, and implementing machine learning models to solve complex business problems.
The candidate will work closely with cross-functional teams to understand business goals and translate them into analytical solutions.
They will apply expertise in Python and R to manipulate large datasets, build predictive models, and communicate findings.
The role involves evaluating model performance using appropriate statistical techniques and iterating based on feedback and performance metrics.
Collaboration with engineering teams to integrate models into production systems is also a key aspect of the job.

Requirements:

Strong hands-on experience in Python and R is required.
The candidate must demonstrate success in building and deploying machine learning models in a professional setting, not just through academic or personal projects.
A solid understanding of data science fundamentals, including supervised and unsupervised learning, feature engineering, and model evaluation, is essential.
Experience working with real-world data and solving business-critical problems is necessary.