Senior Data Scientist

3 - 4 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Who We Are:

Osmos, a B2B SaaS company founded by ex-Amazon ad-tech experts, is revolutionizing 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 You'll Do:

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 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:


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

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