Lead Data Scientist

Coditas Solutions is seeking a highly skilled and motivated Lead Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects.

Roles and Responsibilities

● Lead the design, implementation, and optimization of machine learning and AI models using Python and R.

● Develop and deploy scalable predictive models and decision-making systems for business-critical applications.

● Conduct advanced exploratory data analysis (EDA) to extract actionable insights from structured and unstructured data.

● Collaborate with data engineers to ensure high-quality, well-structured datasets for training and inference.

● Own the end-to-end model lifecycle, from development to deployment, monitoring, and continuous improvement.

● Guide the integration of AI/ML models into enterprise-level production systems in collaboration with software engineering teams.

● Provide technical leadership, mentoring junior data scientists and driving best practices in ML model development and deployment.

● Stay ahead of the curve by evaluating and implementing cutting-edge AI/ML advancements, including LLMs and GenAI models.

● Work closely with stakeholders, product teams, and clients to define business challenges and design AI-driven solutions.

● Drive model interpretability, explainability, and responsible AI practices within the organization.

Technical Skills

6-14 years

Python and R

cloud platforms (AWS, Azure, GCP)

MLOps practices

classical ML algorithms

ML/DL libraries

data preprocessing, feature engineering, and model evaluation

selecting and engineering relevant features

LLMs (Large Language Models)

problem-solving, critical thinking, and analytical skills

communication and leadership skills