Cognitud - Lead Data Scientist

Lead Data Scientist

We are looking for a highly skilled and experienced Lead Data Scientist to drive data-driven decision-making and lead complex analytics projects across the organization.

The ideal candidate will be responsible for designing and implementing advanced machine learning models, leading data science teams, and collaborating with cross-functional stakeholders to deliver actionable business insights.

Key Responsibilities

- Lead and mentor a team of data scientists and analysts to execute advanced analytics and AI/ML projects.

- Design and implement machine learning models, including supervised, unsupervised, and deep learning techniques.

- Collaborate with business stakeholders to understand use cases and translate them into data science solutions.

- Conduct exploratory data analysis, feature engineering, and model evaluation using statistical and ML techniques.

- Drive end-to-end model lifecycle: problem scoping, data extraction, modeling, validation, deployment, and monitoring.

- Develop scalable data pipelines and integrate models into production systems.

- Ensure model interpretability, accuracy, and compliance with ethical and regulatory standards.

- Create visualizations and dashboards to communicate findings effectively to both technical and non-technical audiences.

- Stay updated with the latest developments in AI, ML, and data science tools and techniques.

Required Skills and Qualifications

- 8+ years of experience in data science, machine learning, and statistical modeling.

- Proficiency in Python, R, or Scala, and libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, etc.

- Strong experience in SQL and working with large-scale structured and unstructured datasets.

- Deep understanding of statistical analysis, predictive modeling, natural language processing (NLP), or computer vision.

- Experience with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop).

- Proven ability to lead teams and manage multiple stakeholder relationships.

- Strong communication, storytelling, and presentation skills.

Educational Qualification

- Masters or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field