
Lead Data Scientist
1 week ago
We are seeking a Senior Data Scientist (Generative AI & LLMs) to design, build, and scale AI-powered solutions for retail media and ad-tech. This role blends technical leadership, applied research, and business impact , requiring hands-on expertise in machine learning, deep learning, natural language processing, and large language models. You will drive innovation in Generative AI , lead applied research, and collaborate with product and engineering teams to deliver customer-facing AI solutions.
Translate complex business problems into advanced statistical and ML frameworks.
Develop scalable ML and DL solutions with a strong emphasis on LLMs and Generative AI.
Build and optimize training, fine-tuning, evaluation, and deployment pipelines for LLMs.
Apply Responsible AI principles to ensure fairness, explainability, and bias mitigation.
Build scalable data pipelines and end-to-end ML systems on cloud platforms.
Provide technical leadership to data scientists, analysts, and engineers.
Mentor junior talent, establish best practices, and influence the data science roadmap.
Partner with cross-functional teams to integrate AI solutions into customer-facing platforms.
Manage project execution, continuous improvement, and strategy alignment.
Master's or PhD in Computer Science, Statistics, Data Science, or related fields.
~8–12 years of applied data science/ML experience, with strong domain exposure to e-commerce, advertising, or retail.
~3–4 years of hands-on expertise in LLMs, Generative AI, and NLP .
~2+ years of leadership experience in guiding projects and teams.
~ Strong proficiency in Python, SQL, PyTorch/TensorFlow, and cloud ML platforms (AWS/GCP/Azure).
~ Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker).
~ Solid statistical foundation (hypothesis testing, regression, causal inference, time-series).
~ Strong data engineering skills for ETL and large-scale dataset processing.
Experience with ad-tech, ad-serving systems, or retail media platforms.
Applied research contributions (papers, patents, open-source projects).
Exposure to multimodal AI and personalization systems.
Hands-on experience with LangChain, Hugging Face, RAG, LoRA, and fine-tuning of LLMs.
Business acumen: ability to map AI/ML solutions to strategic goals.
Innovative mindset with a passion for staying ahead of AI/ML trends.
Opportunity to build cutting-edge AI solutions shaping the future of retail media.
Competitive compensation, growth opportunities, and flexible working environment.
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