Position:
Data Scientist I
Company:
CommerceIQ
Location:
Bengaluru, Karnataka, India
Job Type:
Full-time
Job Mode:
On-site
Job Requisition ID:
Not specified
Years of Experience:
Minimum of 2 years of relevant experience
Company Description:
CommerceIQ is a pioneering force in the digital commerce landscape, offering an AI-driven platform that empowers global brands to enhance their online sales performance. The platform integrates advanced ecommerce management solutions to deliver actionable insights, optimize digital shelf presence, and maximize retail media ROI.
With a network spanning over 900 retailers and servicing more than 2,200 leading brands, CommerceIQ facilitates streamlined marketing, supply chain, and sales operations. Their comprehensive end-to-end solution enables brands to profitably expand market share across more than 50 countries, revolutionizing how products are marketed and sold on some of the world’s largest marketplaces. Visit commerceiq.ai to learn more about their innovative solutions and vision for the future of ecommerce.
Profile Overview:
As a Data Scientist at CommerceIQ, you will be an integral part of a team dedicated to crafting advanced machine learning solutions tailored for B2B SaaS products. This role demands a combination of technical acumen, innovative thinking, and a deep understanding of business and product requirements.
Responsibilities include designing and implementing state-of-the-art machine learning models, tackling complex problems involving predictions, time-series forecasting, topic modeling, and optimization. You will collaborate with engineering, product, and operations teams to shape the data science roadmap, design product strategies, and identify critical metrics for business growth. The role also involves rapid prototyping, scaling solutions, and ensuring that the developed systems are robust and sustainable. Working with large-scale ecommerce data, you will apply advanced algorithms to real-time systems and drive productization of solutions to enhance customer value.
Qualifications:
Educational Background:
Bachelor’s or Master’s degree in Computer Science, Mathematics, or Statistics from a reputed institution.
Experience:
At least 2 years of experience solving data science problems with a focus on delivering customer value.
Technical Expertise:
Strong foundational knowledge of machine learning, optimization methods, data mining, statistics, and linear algebra.
Exposure to advanced machine learning techniques for image and text data, including Large Language Models (LLMs), OCR, and embeddings.
Proficiency in programming with Python or R, with a focus on writing modular and scalable code.
Familiarity with SQL for database management and queries.
Soft Skills:
Excellent problem-solving skills with a first-principles approach to formulating solutions.
Strong communication skills, capable of simplifying complex ideas for diverse audiences.
A self-starter attitude with curiosity and an obsession with addressing customer problems effectively.
Additional Info:
Why Join CommerceIQ?
Impactful Work:
Collaborate with some of the biggest brands operating on Amazon and contribute to driving significant revenue growth through innovative solutions.
Develop models and algorithms that generate measurable outcomes, impacting hundreds of thousands of dollars in customer value.
Cutting-Edge Technology:
Work on state-of-the-art technologies involving text and image data, including LLMs, OCR, and transformer-based embedding models.
Deploy solutions using sophisticated tech stacks such as AWS and GCP.
End-to-End Ownership:
Take complete ownership of projects from exploration to production, ensuring a comprehensive learning experience.
Empowerment to make impactful decisions, fostering responsibility and rapid personal growth.
Learning and Development:
Opportunities to create ML-based SaaS products for global brands and gain company-wide recognition.
A dynamic startup environment with minimal bureaucracy and maximum focus on getting things done.
Culture and Values:
Join a team that values hard work, fun, and the ambition to create history and shape the future of ecommerce.
Experience a culture of inclusivity and equality, with a commitment to diversity and non-discrimination on any grounds, including race, religion, gender, or disability status.
CommerceIQ offers an unparalleled opportunity to work on groundbreaking projects while fostering professional and personal growth in a supportive and innovative environment.
Please click here to apply.
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