Data Scientist

We are looking for a Data Scientist with strong expertise in Machine Learning and Artificial Intelligence to design, develop, and deploy scalable data-driven solutions. The ideal candidate should have hands-on experience in building predictive models, analyzing large datasets, and applying AI/ML techniques to solve complex business problems.

 

Key Responsibilities

Develop and implement machine learning models and AI solutions for business problems.

Perform data cleaning, feature engineering, and exploratory data analysis (EDA) on large structured and unstructured datasets.

Build predictive models using techniques such as regression, classification, clustering, NLP, and deep learning.

Deploy models into production using MLOps best practices.

Collaborate with data engineers, product managers, and business stakeholders to translate requirements into technical solutions.

Monitor model performance and continuously optimize and retrain models.

Work with cloud platforms and big data tools for scalable data processing.

Present insights and recommendations using data visualization and storytelling techniques.

 

Required Skills

Programming

Python R

SQL

Machine Learning

Supervised Unsupervised Learning

Feature Engineering

Model Evaluation Techniques

Model Optimization

AI Advanced Techniques

NLP

Deep Learning (TensorFlow PyTorch)

Generative AI (LLMs, Prompt Engineering preferred)

Data Tools

Pandas, NumPy, Scikit-learn

Spark PySpark (preferred)

Visualization

Power BI Tableau Matplotlib Seaborn

Cloud Platforms

AWS Azure GCP (any one preferred)

 

Qualifications

Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related field

2 to 5 years of hands-on experience in Machine Learning and AI projects

Experience working with large datasets and real-world business problems

 

Preferred Qualifications

Experience with MLOps and model deployment

Knowledge of Docker, Kubernetes

Experience with LLMs, Generative AI, or AI agents

Strong understanding of statistics and probability

 

Soft Skills

Strong problem-solving skills

Excellent communication and stakeholder management

Ability to work in a fast-paced Agile environment