Data Scientist

2 months ago

Delhi Delhi, India Certcube Labs pvt ltd Full time

**Dear Applicants,**

**Product Developer Responsibilities**
- Design and implement data cleaning and normalization pipelines using tools like Pandas, Dask, and NumPy.
- Analyze data from various formats (system logs, databases, Excel, XML, JSON) and develop methods for data ingestion and processing.
- Implement historical data management and comparison algorithms to visualize trends and anomalies.
- Work with visualization tools like Bokeh, Dash, or Plotly to create interactive, customizable dashboards.
- Collaborate with the backend and frontend teams to integrate data models into the product.
- Develop AI/ML models for trend analysis, anomaly detection, and predictive analytics using tools like TensorFlow, PyTorch, or Scikit-learn.
- Provide insights for exporting and reporting data with embedded visualizations.
- Stay up-to-date with the latest trends and technologies in data science and machine learning.
- Assist in automating data tasks and optimizing performance for large datasets.
- Collaborate with stakeholders to collect feedback and iterate on the data models and visualizations.

**Qualifications and Skillset**
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Strong proficiency in Python and data processing libraries like Pandas, Dask, and NumPy.
- Experience with data visualization libraries like Bokeh, Plotly, or Dash.
- Expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) for analytics and modeling.
- Familiarity with handling bulk data from multiple formats (Excel, JSON, XML, CSV, system logs).
- Experience working with databases (PostgreSQL, MySQL, MongoDB) for data storage and management.
- Strong understanding of data normalization techniques and statistical methods.
- Ability to collaborate with developers, design teams, and other stakeholders.
- Excellent problem-solving and analytical skills

Pay: From ₹200,000.00 per year

**Experience**:

- total work: 2 years (preferred)

Work Location: In person

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