Data Scientist

Key Responsibilities

• Collect, clean, preprocess, and analyze large datasets.
• Develop and implement

machine learning and statistical models

.

• Identify trends, patterns, and actionable insights from data.
• Perform exploratory data analysis (EDA) and feature engineering.
• Build, evaluate, and optimize predictive models.
• Work with structured and unstructured data.
• Create dashboards and visualizations to communicate insights.
• Collaborate with business teams, data engineers, and software developers.
• Monitor model performance and improve models when required.
• Present findings and recommendations to technical and non-technical stakeholders.
• Maintain documentation for data analysis, models, and methodologies.

Required Skills

• Strong knowledge of

Python or R

.

• Good understanding of

statistics, probability, and machine learning

.

• Experience with libraries such as

Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch

.

• Strong

SQL

and database knowledge.

• Experience with data visualization tools such as

Power BI, Tableau, or Matplotlib

.

• Knowledge of supervised and unsupervised learning techniques.
• Understanding of data preprocessing, feature engineering, and model evaluation.
• Strong analytical and problem-solving skills.