About the Role:
We are looking for a highly experienced and strategic Lead Data Scientist to join our data-driven innovation team. In this role, you will lead the development and deployment of end-to-end machine learning solutions that drive high-impact business outcomes. You will collaborate with cross-functional teams, mentor junior data scientists, and provide thought leadership in applying advanced analytics to complex problems.
Key Responsibilities:
- Lead the design, development, and implementation of machine learning and statistical models for predictive, prescriptive, and diagnostic analytics
- Translate business challenges into data science problems and drive measurable impact through technical solutions
- Guide architecture decisions for scalable model deployment (batch, real-time, streaming)
- Collaborate with data engineers, product managers, and domain experts to shape data strategy and execution
- Communicate findings and insights to executive stakeholders with clarity and business context
- Manage and mentor a team of data scientists, providing technical direction and career guidance
- Drive best practices in model development, experimentation, testing, and MLOps (monitoring, versioning, CI/CD)
Required Qualifications:
- Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field
- 7+ years of experience in data science or machine learning roles, with 2+ years of leadership or team lead experience
- Advanced proficiency in Python, SQL, and ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch
- Deep understanding of supervised and unsupervised learning, time series forecasting, and statistical modeling
- Strong experience working with large-scale data and cloud environments (AWS, GCP, or Azure)
- Proven ability to lead complex analytics initiatives from ideation to production
Preferred Qualifications:
- Experience in MLOps tools (MLflow, Airflow, Docker, Kubernetes)
- Knowledge of business domains such as e-commerce, finance, healthcare, or manufacturing
- Exposure to advanced topics such as deep learning, reinforcement learning, generative AI, or explainable AI
- Strong stakeholder management and storytelling skills with a track record of delivering business impact
What We Offer:
- The opportunity to lead cutting-edge AI/ML projects with real-world applications
- Competitive salary, performance incentives, and equity options
- Flexible work environment and global collaboration opportunities
- A culture of continuous learning, innovation, and professional growth
- Access to state-of-the-art tools, infrastructure, and mentorship
How to Apply:
📩 Send your resume, project portfolio (GitHub, case studies, publications), and a brief statement of interest to: careers@[yourcompany].com
Subject: Application – Lead Data Scientist – [Your Name]
🗓 Applications are reviewed on a rolling basis