About Osmos.ai
Built by ex-Amazon ad-tech experts , Osmos.ai offers a future-proof Retail Media Operating System - boosting Retailer s profitability by 7% of Sales! We are an Enterprise B2B SaaS startup, based out of Pune India. With Osmos.ais platform, Retailers activate and delight 10x more Brands by offering an omni-channel media buying experience, advanced targeting, analytics & 2x better ROAS. Tier 1 Retailers and Marketplaces globally are accelerating their Monetization strategy with Osmos.ai and are innovating ahead of the market by at least 2 years.
About the role
At Osmos.ai, your ability to navigate the complexities of building scalable and high-performance systems, combined with your data science skills, will make you an invaluable contributor to our mission.
We are looking for a highly skilled Senior Data Scientist who can translate complex business problems into advanced analytical solutions. The ideal candidate combines deep expertise in statistical modeling, machine learning, and data engineering with a strong focus on Generative AI (GenAI), Large Language Models (LLMs), and Deep Learning.
This role requires both technical leadership and strategic vision from driving AI/ML innovation to mentoring junior team members, and collaborating across product, consulting, and engineering teams to bring AI-powered solutions to life.
By applying your expertise in data science to the ad-server and retail media domains, you will contribute to delivering targeted and impactful advertising campaigns, optimizing ad inventory, and maximizing ROI for Osmos.ai and its clients.
What will you do @ Osmos.ai
At Osmos.ai, your role in building ML algorithms for the ad server and retail media would involve the following:
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Business Problem Solving
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While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital
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Translate complex business challenges into analytical frameworks using statistical and ML methodologies.
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Apply AI/ML solutions to real-world business use cases across multiple industries.
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Extract insights from large-scale datasets to improve model accuracy, fairness, and relevance.
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Technical Proficiencies:
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Strong expertise in statistical modelling, machine learning, deep learning, and NLP , with hands-on experience in LLMs and Generative AI (fine-tuning, RAG, prompt engineering).
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Proficiency in Python, PyTorch/TensorFlow, Hugging Face , and cloud-based ML platforms (AWS/GCP/Azure) with MLOps practices.
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Skilled in building scalable data pipelines and ML systems for training, evaluation, and deployment at scale.
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Solid grounding in Responsible AI principles including fairness, explainability, and bias mitigation.
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AI/ML & Generative AI Innovation
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Lead the design, development, and deployment of scalable ML and DL solutions, with emphasis on LLMs and GenAI .
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Build training, fine-tuning, evaluation, and serving pipelines for LLMs across use cases like content generation, summarization, semantic search, personalization, and multimodal AI .
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Drive applied research , incorporating the latest in GenAI and foundation models into production-ready systems.
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Ensure solutions are optimized for performance, security, reliability, and cost .
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Leadership & Collaboration
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Provide technical and strategic leadership to cross-functional teams of Data Scientists and Analysts .
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Collaborate with engineering and product teams to integrate AI solutions into customer-facing platforms.
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Mentor junior data scientists; set and promote best practices in MLOps, Responsible AI, and ML system design .
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Stay ahead of industry trends and incorporate them into roadmap planning.
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Project Management & Strategy
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Drive the execution of business plans and projects
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Manage the continuous improvement of data science initiatives
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Direct the gathering and assessment of data for project goals
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Develop contingency plans and adapt to changing business needs
You will be a great fit if you have :
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A masters or doctoral degree in a relevant field such as computer science, statistics, mathematics, or data science is preferred. A strong academic background with coursework in machine learning, statistical modeling, data mining, and programming is valuable.
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8-12 years of practical experience in data science, generative AI, machine learning, and analytics. Experience in relevant domains, such as e-commerce, advertising, or retail, may be advantageous.
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Minimum 3 4 years of deep, hands-on expertise in NLP, LLMs, and Generative AI .
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2+ years of Demonstrated experience in leading projects and teams .
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Advanced Proficiency in Python is essential for data manipulation, statistical analysis, and machine learning model development.
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Core Skills :
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Strong foundation in machine learning, deep learning, and NLP .
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Hands-on experience with LLMs (GPT, LLaMA, Falcon, Mistral, etc.) and GenAI frameworks (LangChain, Hugging Face, RAG, fine-tuning, LoRA) .
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Proficiency in Python, PyTorch/TensorFlow, SQL , and cloud platforms (GCP/AWS/Azure) .
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Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, etc.).
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Strong data engineering skills to build ETL pipelines for large-scale datasets.
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Statistical rigor: hypothesis testing, power analysis, confidence intervals; regression (GLM/GLMM), time-series; causal inference (propensity scores, DiD, RDD) for business impact.
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Soft Skills :
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Strong business acumen and ability to map AI/ML solutions to strategic goals.
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Excellent communication and stakeholder management skills.
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Proven track record of mentoring and leading teams , collaborating with cross-functional teams , and communicating effectively with stakeholders.
Why Osmos.ai
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Startup-y . We believe Startup is a mindset. It s about being scrappy, being nimble, solving tough problems with constrained resources and more. It s about working hard and playing hard
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Enterprise SaaS . Opportunity to work with an Enterprise Product SaaS firm with aspirations of growing 10x across the globe
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AI-led Retail Tech . We are working to digitize & democratize one of the most exciting and growing vertical - Retail Tech leveraging data, machine learning and automation (culmination of ad-tech, mar-tech and analytics for Retail vertical)
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Meaningful work . This is not just a job. You can find a job anywhere. This is a place for the bold to get paid who make a real impact on business
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No red tape . Say goodbye to pointless meetings or political hoops to jump through. We re scrappy, believe in autonomy and empower our teams to do whatever it takes to do the unthinkable
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Problem Solving . We ignite the best in you. We exist not only to deliver meaningful innovation but to ignite and inspire the creative problem solver in you
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Quirky & fun . Enjoy new skills and hobbies like being a quiz master, playing board games, trying your hands on percussion, playing Djembe and spreading love within the org!
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Competitive Comp & Benefits . We know the power of compounding and are stubborn about building long-term relationships. Our compensation design is not only competitive but also prudent.
