Who We Are:

Osmos, a B2B SaaS company founded by ex-Amazon ad-tech experts, is revolutionising retail media with an AI-powered operating system that increases retailer profitability (by up to 7% of sales) and delivers superior ROAS for brands. By enabling Tier 1 retailers and marketplaces worldwide to activate more brands and leverage advanced targeting, we help them secure a lasting competitive edge.

Your Impact:

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:

Business Problem Solving
- 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
- Translate complex business challenges into analytical frameworks using statistical and ML methodologies.
- Apply AI/ML solutions to real-world business use cases across multiple industries.
- Extract insights from large-scale datasets to improve model accuracy, fairness, and relevance.
Technical Proficiencies:
- 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).
- Proficiency in Python, PyTorch/TensorFlow, Hugging Face, and cloud-based ML platforms (AWS/GCP/Azure) with MLOps practices.
- Skilled in building scalable data pipelines and ML systems for training, evaluation, and deployment at scale.
- Solid grounding in Responsible AI principles including fairness, explainability, and bias mitigation.
AI/ML & Generative AI Innovation
- Lead the design, development, and deployment of scalable ML and DL solutions, with emphasis on LLMs and GenAI.
- Build training, fine-tuning, evaluation, and serving pipelines for LLMs across use cases like content generation, summarization, semantic search, personalization, and multimodal AI.
- Drive applied research, incorporating the latest in GenAI and foundation models into production-ready systems.
- Ensure solutions are optimized for performance, security, reliability, and cost.

You'll Thrive If You Have:

A master's 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.
3-4 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.
Minimum 1 years of deep, hands-on expertise in NLP, LLMs, and Generative AI.
Advanced Proficiency in Python is essential for data manipulation, statistical analysis, and machine learning model development.
Core Skills:
Strong foundation in machine learning, deep learning, and NLP.
Hands-on experience with LLMs (GPT, LLaMA, Falcon, Mistral, etc.) and GenAI frameworks (LangChain, Hugging Face, RAG, fine-tuning, LoRA).
Proficiency in Python, PyTorch/TensorFlow, SQL, and cloud platforms (GCP/AWS/Azure).
Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, etc.).
Strong data engineering skills to build ETL pipelines for large-scale datasets.
Soft Skills:
- Strong business acumen and ability to map AI/ML solutions to strategic goals.

Why Choose Osmos?

Startup Energy, Enterprise Scale: Fast-paced innovation with global ambition
Revolutionize Retail Marketing: Be at the forefront of AI-powered solutions
Meaningful Contribution: Directly impacts major brands' success
No Red Tape: Autonomy and empowerment to drive results
Growth & Fun: Continuous learning in a vibrant, collaborative culture
Competitive Rewards: We value your expertise and offer strong compensation

Ready to champion client growth? Let's chat.

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Self Assessment

Please answer these simple questions which will help us leapfrog the entire fitment evaluation process.

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