About the Role:
We are seeking a Sr. Advanced Data Scientist with deep technical expertise and a strategic mindset to lead high-impact, data-driven initiatives across our organization. In this role, you will drive the development and deployment of sophisticated machine learning models and AI solutions to solve complex business problems and accelerate innovation. You’ll serve as a technical thought leader, mentor junior scientists, and influence product and business decisions through advanced analytics.
Key Responsibilities:
- Design, develop, and deploy advanced machine learning, deep learning, and AI models for high-value use cases such as personalization, forecasting, optimization, and risk modeling
- Conduct research and proof-of-concept development in areas such as NLP, computer vision, LLMs, generative AI, and reinforcement learning
- Partner with data engineering and product teams to integrate models into scalable production systems
- Lead end-to-end analytics projects — from data exploration and modeling to deployment, monitoring, and performance evaluation
- Mentor and guide junior data scientists and serve as a reviewer for analytical code and research methods
- Present findings and strategies to executive stakeholders, turning data into actionable insights
- Stay ahead of trends in AI/ML research and help implement cutting-edge methodologies into real-world applications
Required Qualifications:
- Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field
- 6–10 years of experience in applied data science, including advanced machine learning model development and deployment
- Strong programming skills in Python (including scikit-learn, TensorFlow or PyTorch, XGBoost, etc.) and SQL
- Proven track record in building and scaling AI systems, with a strong grasp of MLOps principles
- Excellent understanding of statistical modeling, data structures, algorithms, and experimental design
- Strong business acumen and the ability to communicate complex ideas to both technical and non-technical audiences
Preferred Qualifications:
- Experience with cloud platforms (AWS, GCP, Azure) and ML infrastructure (Docker, MLflow, Airflow, Kubernetes)
- Background in large-scale data systems or real-time analytics
- Experience in specific domains such as e-commerce, fintech, healthcare, or industrial AI
- Publications or open-source contributions in ML/AI or data science communities
What We Offer:
- The opportunity to drive innovation on mission-critical AI projects
- A collaborative and intellectually curious team of top-tier data scientists and engineers
- Competitive compensation and long-term incentives
- Flexible remote/hybrid work structure
- Comprehensive health, wellness, and professional development benefits
How to Apply:
📩 Submit your resume, portfolio (e.g., GitHub, research papers, case studies), and a brief statement of interest to: advancedds-careers@[yourcompany].com
Subject: Application – Sr. Advanced Data Scientist – [Your Name]
🗓️ Applications are reviewed on a rolling basis