Ezeiatech Systems - Data Scientist - Machine Learning

Job Title : Data Scientist

Location : Gurugram

Experience : 2-6Years

Job Description :

Responsibilities :

Data Analysis and Exploration :

- Analyze large datasets to identify trends, patterns, and insights.

- Perform exploratory data analysis (EDA) to understand data characteristics and relationships.

- Develop and implement data preprocessing and cleaning techniques.

Machine Learning Model Development :

- Design, develop, and evaluate machine learning models for various applications (prediction, classification, clustering).

- Select and implement appropriate algorithms and techniques based on project requirements.

- Optimize model performance and ensure scalability.

Statistical Analysis :

- Apply statistical methods to analyze data and draw meaningful conclusions.

- Conduct hypothesis testing and statistical modeling.

- Develop and interpret statistical reports and visualizations.

Data Visualization and Communication :

- Create compelling visualizations to communicate data insights to technical and non-technical audiences.

- Develop dashboards and reports to monitor key performance indicators (KPIs).

- Present findings and recommendations to stakeholders.

Collaboration and Communication :

- Collaborate with engineers, product managers, and other stakeholders to define project requirements and deliver solutions.

- Communicate complex technical concepts clearly and effectively.

- Contribute to the development of data science best practices.

Model Deployment and Monitoring :

- Deploy machine learning models into production environments.

- Monitor model performance and retrain models as needed.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.

- 2-6 years of experience in data science.

- Strong proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).

- Experience with SQL and database management.

- Solid understanding of machine learning algorithms and statistical methods.

- Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.

- Experience with cloud platforms (AWS, Azure, GCP) is a plus.