Data Scientist II

As a Data Scientist, you will work closely with engineering/product/operations teams to build state-of-the-art ML-based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, and optimisation but also a deep understanding of business and products. Apply excellent problem-solving skills to deconstruct and formulate solutions from first principles.
Responsibilities:
Work on the data science roadmap and build the core engine of our flagship CommerceIQ product.
Collaborate with product and engineering to design product strategy and identify key metrics to drive and support with proof of concept.
Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems.
Work with large-scale e-commerce data of the biggest brands on Amazon.
Apply out-of-the-box, advanced algorithms to complex problems in real-time systems.
Drive productisation of techniques to be made available to a wide range of customers.
Requirements:
Bachelor's / Master's / PhD in data science, statistics, computer science, economics, or related engineering streams.
2+ years of professional experience in data science.
Good knowledge of classical machine learning (non-fine-tuning).
Has experience in working with any of the skills XGBoost, Random Forest, Logistic Regression, GLM Pricing Models, SHAP, Feature Engineering, PCA, and K-Means.
Proven track record of developing and deploying predictive models, machine learning algorithms, and advanced analytics solutions.
Strong proficiency in Python and SQL and experience with popular machine learning frameworks (e. g., scikit-learn, TensorFlow, and PyTorch).
Excellent communication, presentation, and stakeholder management skills with the ability to translate complex analytical insights into actionable business strategies.
Experience in Agile methodologies and managing data science projects from conception to production deployment.
A strategic thinker with a passion for innovation, continuous learning, and problem-solving.
Preferred Skills:
Familiarity with cloud computing platforms (AWS) and big data technologies (PySpark).
Experience in the e-commerce, retail or advertising domain.

Experience
3-5 yrs