Role Summary:
We are seeking a highly analytical and results-driven Data Scientist with 26 years of hands-on experience in data analysis, statistical modeling, and machine learning. The ideal candidate will leverage data to generate actionable insights, build predictive models, and support strategic business decision-making.
Key Responsibilities:
1. Data Analysis & Exploration
- Collect, clean, and preprocess large structured and unstructured datasets.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and maintain data pipelines for efficient data processing.
- Write optimized SQL queries to extract and manipulate data from databases.
2. Machine Learning & Modeling
- Design, develop, validate, and deploy machine learning models (supervised and unsupervised).
- Implement algorithms for regression, classification, clustering, forecasting, and recommendation systems.
- Perform feature engineering and model tuning to improve performance.
3. Statistical Analysis
- Apply statistical techniques to test hypotheses and validate business assumptions.
- Conduct A/B testing and experimental design analysis.
- Perform predictive and prescriptive analytics to drive business strategy.
4. Data Visualization & Communication
- Create interactive dashboards and reports using Tableau / Power BI / similar tools.
- Present findings and insights clearly to technical and non-technical stakeholders.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
- 26 years of professional experience in Data Science, Machine Learning, or Advanced Analytics.
- Strong programming skills in Python and/or R.
- Hands-on experience with:
- Pandas, NumPy, Scikit-learn
- SQL (advanced querying, joins, aggregations, performance tuning)
- Solid understanding of:
- Machine Learning algorithms
- Statistical modeling
- Probability & hypothesis testing
- Experience with data visualization tools (Tableau, Power BI, or similar).
Preferred Qualifications:
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Knowledge of cloud platforms (AWS, Azure, or GCP).
- Experience working with big data technologies (Spark, Hadoop).
- Exposure to MLOps, CI/CD pipelines for ML models.
- Domain experience in Finance / E-commerce / Healthcare / SaaS (optional based on company).
