We are seeking a highly skilled and analytical Data Scientist with 5+ years of experience in Machine Learning, Statistical Modeling, and Advanced Analytics to develop scalable, data-driven solutions that solve complex business problems.

The ideal candidate should have strong expertise in predictive modeling, data engineering, model optimization, and end-to-end machine learning workflows.

This role requires a strong foundation in applied statistics, machine learning algorithms, and programming, along with the ability to work with large datasets and deploy production-ready analytical solutions in a fast-paced environment.

Key Responsibilities :

- Perform exploratory data analysis (EDA), data preprocessing, feature engineering, and model validation to derive actionable business insights

- Design, develop, train, evaluate, and deploy machine learning models for real-world business applications

- Apply and optimize machine learning algorithms including :

a. Ensemble Methods (Random Forest, XGBoost, Gradient Boosting)

b. Logistic Regression

c. Support Vector Machines (SVM)

d. Clustering Techniques (K-Means, DBSCAN)

. Classification and Regression models

- Build scalable predictive and analytical models using structured and unstructured datasets

- Own end-to-end data science project execution including :

a. Problem formulation

b. Data collection and preparation

c. Feature engineering

d. Model development

e. Hyperparameter tuning

f. Model evaluation

g. Deployment and monitoring

- Collaborate with cross-functional teams including Product, Engineering, Business, and Data Engineering teams to translate business requirements into analytical solutions

- Develop automated ML pipelines and scalable workflows for continuous model improvement

- Work with large-scale datasets using SQL, Python, and cloud-based data platforms

- Perform statistical analysis, hypothesis testing, and experimental design to support decision-making

- Optimize model performance, scalability, and accuracy for production environments

- Build dashboards, reports, and data visualizations to communicate insights effectively to technical and non-technical stakeholders

- Stay updated with the latest advancements in Machine Learning, AI, Data Science, and Generative AI technologies

- Ensure data quality, governance, and compliance with organizational standards

Required Skills & Qualifications :

- 5+ years of hands-on experience in Data Science, Machine Learning, or Advanced Analytics

- Strong expertise in Python and SQL for data manipulation, analysis, and model development

- Hands-on experience with ML libraries and frameworks such as :

a. Scikit-learn

b. XGBoost

c. Pandas

d. NumPy

e. TensorFlow/PyTorch (preferred)

- Strong understanding of supervised and unsupervised learning techniques

- Experience in feature engineering, model tuning, and performance optimization

- Strong knowledge of statistical modeling, probability, and data analysis techniques

- Experience working with large datasets and distributed data environments

- Familiarity with Snowpark and Snowflake is preferred but not mandatory

- Experience in deploying machine learning models into production environments

- Strong problem-solving, analytical thinking, and debugging skills

- Ability to communicate complex technical concepts clearly to stakeholders

- Experience with cloud platforms such as AWS, Azure, or GCP is an added advantage

Good to Have :

- Familiarity with Generative AI concepts, Large Language Models (LLMs), and AI Agents

- Understanding of MLOps practices and model lifecycle management

- Exposure to NLP, recommendation systems, or deep learning frameworks

- Experience with data orchestration and workflow tools

- Knowledge of vector databases, prompt engineering, and AI automation frameworks

Preferred Candidate Profile :

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

- Strong ownership mindset with the ability to independently drive projects

- Excellent collaboration and stakeholder management skills

- Passion for solving complex business challenges using data and AI-driven approaches

- Ability to work in fast-paced, innovation-driven environments