Description :
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
HriZen