6+ Decision Science Jobs in India

Are you interested in writing agentic systems that helps companies like Coca-Cola, ITC and Lenovo drive E-commerce success? Do you want to bring Autonomy to E-commerce? Then read on and apply.

Applied Scientist - Decision AI

Location: Bengaluru

Work Schedule: Hybrid (Candidate must be based in Bengaluru - 1-2 days of WFO may be required at a later date)

About Kily

Kily is an AI company bringing autonomy to digital commerce growth. We build autonomous agents that manage Advertising, Pricing and Listings for brands and sellers across commerce marketplaces.

Performance in modern commerce shifts constantly - across marketplaces, categories and cities - faster than teams can manually track, diagnose and act on. Kily's agents work continuously against real business objectives with each brands unique context, objectives and operating constraints and keeping humans in the loop where it matters.

The Role

We are looking for an Applied Scientist to build the models and decision systems behind Kily's recommendations and actions. The work is grounded in messy, real-world commerce data help build Kily's core decision intelligence layer: systems capable of understanding complex commerce data, determining why performance is changing, deciding what should be done about it, and ultimately taking actions autonomously at scale. You will work at the intersection of learning algorithms, decision making under uncertainty and agentic systems.

What You'll Do

·      Conduct deep analysis of commerce data to derive insights, and identify gaps and new opportunities

·      Develop scalable and effective machine-learning models and optimisation strategies to solve business problems across advertising, pricing and listings

·      Define and lead science initiatives from problem framing through production deployment in a high-ambiguity environment

·      Identify and build the sequential feedback loops that make decisions improve over time

·      Design evaluation frameworks to measure the quality and business impact at scale

·      Work closely with engineering, analytics and product teams to take models from experimentation into production

What We're Looking For

·      4+ years in Applied ML/AI, Data Science. Masters or PhD in a quantitative field is a plus

·      Deep proficiency in Python, SQL, statistics and data analysis

·      Hands-on experience developing, deploying and maintaining the end-to-end lifecycle of machine-learning models

·      Experience with LLMs, fine-tuning, AI agents, optimisation or sequential decision systems is a strong plus

·      Exposure to ecommerce, marketplaces, advertising or pricing data is valuable but not essential

·      Strong problem-solving and communication skills; ML research experience is a plus

WHY KILY

Kily is already working with leading brands including ITC, Unilever, Mondelez, Coca-Cola and Lenovo, and has recently raised an INR 30 crore ($3.1 mn) Seed round led by Sorin Investments, with participation from Razorpay and Wyser Capital. You'll have the opportunity to build a foundational AI system from an early stage - one designed not merely to generate insights, but to autonomously drive real-world business

outcomes.

Behavior Labs team:

The Behavior Labs team sits at the centre of the company and curates the Mia coach, that produces the content and insights to bring about behavior change. It pushes out to enterprise users, insights about expected performance behavior during a business period. It enables enterprises to influence the behaviors of sales personnel from encouraging early starts to push for lightning finishes. It guides enterprises on how to monitor and manage the behavioural journey that would lead to positive outcomes. Thousands of sales and customer service personnel across the globe are influenced and nudged towards behavior change that results in better performance outcomes.

The behavior lab has two key tasks – use the latest thinking in the space of BE and employee performance to enable specific user groups performance and developing a holistic understanding of the user and mining those insights to consistently fine tune the product. This team contributes towards the development of the digital design interface through which users view the nudge. The team also prepares behavioral analytics decks for clients on a regular basis.

We are looking for a new age candidate for the position of a Behavioral Researcher to work in an environment that is in the frontier of using human behavioural understanding and technology to influence behavior change amongst enterprise workers.

Key responsibilities will include:

• Generating insights about behavior from a range of data sources; developing testable propositions
• Conducting original research (e.g. small-scale experiments; feasibility studies to test interventions, qualitative research); analysing quantitative and qualitative data. Understand the trade-offs between different research methods (i.e. quant vs qual, survey vs experiment, A/B tests etc.).
• Action the use of behavioral science concepts into the development of the nudge engine. Keep a continuous watch on new developments in the BE field to adopt and apply into product design.
• Use behavioural science to create contextual information, communication ideas that can influence action amongst user groups and drive them towards a behavioural journey.
• Be intellectually curious and open to innovation but maintain objectivity to ensure that the focus remains on the scientific foundation in which the product is built.
• Good communication and influencing skills, both verbal and written, for a product development & customer facing audience. Specifically, the ability to communicate to these audiences in industry language.
• This role requires a person with curiosity and a passion for inquiry, comfort with ambiguity, and an entrepreneurial/learning mindset. Self-motivated and flexible, this person will be adept at both creative and analytical thinking.
• This is a highly collaborative role which requires the ability to work across the organisation’s product & design teams to develop appropriate ways to bridge the intention – action gap amongst users.