Staff Data Scientist

About the role :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 visionfrom 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 .What will you do?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.Leadership & Collaboration :- Provide technical and strategic leadership to cross-functional teams of Data Scientists and Analysts.- Collaborate with engineering and product teams to integrate AI solutions into customer-facing platforms.- Mentor junior data scientists; set and promote best practices in MLOps, Responsible AI, and ML system design.- Stay ahead of industry trends and incorporate them into roadmap planning.Project Management & Strategy :- Drive the execution of business plans and projects.- Manage the continuous improvement of data science initiatives.- Direct the gathering and assessment of data for project goals.- Develop contingency plans and adapt to changing business needs.You will be a great fit 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.- 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.- Minimum 34 years of deep, hands-on expertise in NLP, LLMs, and Generative AI.- 2+ years of Demonstrated experience in leading projects and teams.- 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.- Statistical rigor : hypothesis testing, power analysis, confidence intervals; regression (GLM/GLMM), time-series; causal inference (propensity scores, DiD, RDD) for business impact.Soft Skills : - Strong business acumen and ability to map AI/ML solutions to strategic goals.- Excellent communication and stakeholder management skills.- Proven track record of mentoring and leading teams, collaborating with cross-functional teams, and communicating effectively with stakeholders. (ref:hirist.tech)