Join the data science team to solve real-world business problems.
Analyze large datasets, build machine learning models, and develop data visualizations.
Contribute to data-driven decision-making across departments.
Extract, clean, and preprocess data from various sources.
Perform exploratory data analysis (EDA) to identify trends and insights.
Build, evaluate, and deploy machine learning models.
Develop dashboards and visualizations using Tableau and Power BI.
Collaborate with cross-functional teams to meet business needs.
Present data-driven insights to both technical and non-technical stakeholders.
Stay updated on industry best practices, tools, and technologies.
Programming: Python (Pandas, NumPy, Scikit-learn), PySpark
Databases: MySQL/MSSQL, NoSQL (MongoDB), Google Big Query
Visualization: Tableau, Power BI
Other Tools:
1 Strong foundation in statistics and machine learningKnowledge of data processing and ETL pipelines
Experience with dbt (Data Build Tool)
Familiarity with Apache Kafka, Apache Airflow, or Apache Storm
Understanding of data pipeline design and orchestration tools
Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field
0–2 years of experience in data science or analytics roles (internship experience also considered)
