Data Scientist II

CommerceIQ

Bengaluru, Karnataka, IndiaPosted 2 days ago

Skill Required

FulltimeData ScientistMachine LearningScikit-learnPrototypingTensorFlowStatisticsData StructuresPyTorchXGBoostSparkPythonAgileSQLAWS

Key highlights

2+ years of professional experience in data science required
Bachelor's / Master's / Ph.D. in data science, statistics, computer science, economics, or related engineering streams required

Role overview

As a Data Scientist, you will work closely with engineering, product, and operations teams to build state-of-the-art ML-based solutions for B2B SaaS products. This role involves leveraging advanced techniques such as predictions, time-series forecasting, topic modeling, and optimization, while maintaining a deep understanding of business and product needs. You will apply excellent problem-solving skills to deconstruct and formulate solutions from first principles.

Responsibilities

Work on 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 / Ph. D. 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.