Job Description

Sr. Data Scientist

Responsibilities:

• Work on large-scale machine learning challenges that impact millions of people around the globe
• Research and implement cutting-edge algorithms and implement pipelines that work with massive data sets in real-time
• Implementing fast, scalable solutions with optimal performance day in and out
• Machine-learning being the core of our business, this role will be responsible for all phases of the product development lifecycle
• Evaluate and validate the analyses with statistical methods and explain to people unfamiliar with the domain of data science
• Writing specifications for algorithms, reports on data analysis, documentation of algorithms, and collaborating with product teams' skills and attributes for success will want you to have
• Strong programming skills in Python.
• Working experience with a variety of ML techniques (decision trees, clustering, boosting, bagging, neural networks, etc.)
• Working experience with advanced statistical concepts (outliers, distance, regression, distributions, statistical tests, etc.)
• Hands-on experience with one or more machine learning frameworks - PyTorch, Keras, Tensorflow, XGBoost, and libraries - Pandas, NumPY, Scikit-learn
• Familiarity with ML platforms like MLflow, Weights&Biases, Kubeflow, and AWS SageMaker.It'd be nice if you have* Passion for developing data products from scratch and a high level of proactiveness
• Knowledge of Reinforcement learning and Optimisation problems on a large scale is a big plus
• Some experience in project management and mentoring is also a plus.
• Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems (Hadoop, Amazon EC2) is a big plus.