Data Scientist - Analyst

The Data Scientist will analyze large and complex datasets to uncover patterns, develop predictive models and generate actionable insights to drive data-based decision-making. The role demands strong analytical thinking, statistical knowledge and technical expertise in programming and machine learning.

Key Responsibilities

1. Collect, clean and preprocess datasets for analysis.
2. Perform exploratory data analysis (EDA) using statistical methods.
3. Assist in building basic machine-learning models under guidance.
4. Generate reports, dashboards and visualizations.
5. Document workflow, maintain datasets and follow best practices.
6. Support cross-functional teams in executing analytics tasks.

Required Skills

1. Strong foundation in statistics, probability and linear algebra.
2. Basic programming skills in Python/R (Pandas, NumPy, Scikit-learn).
3. Knowledge of SQL and database querying.
4. Understanding of machine learning concepts and model evaluation.
5. Ability to visualize data using tools like Tableau/Power BI/Matplotlib.

Who Can Apply

1. Graduates with degrees in Computer Science, Data Science, Statistics, Mathematics or related fields.
2. Candidates with coursework or internships in analytics.
3. Beginners who have completed online certifications in ML/Data Science.