Data Scientist

4 weeks ago


Delhi, India Talent 101 Full time

Job Summary:

This is a contractual job for a period of 1 year and extendable

As a Junior Data Scientist specializing in predictive analysis, you will play a crucial role in leveraging data to derive insights, build predictive models, and contribute to data-driven decision-making. The ideal candidate will have a strong foundation in statistical analysis, machine learning techniques, and a passion for solving complex problems through data-driven approaches.

Key Responsibilities:

Data Analysis:

- Conduct exploratory data analysis to understand patterns, trends, and anomalies in datasets.

- Clean, pre-process, and transform raw data for predictive modelling.

Predictive Modelling:

- Develop and implement machine learning algorithms for predictive analysis.

- Build and train models using statistical techniques and machine learning frameworks.

- Evaluate model performance and iteratively improve accuracy.

Feature Engineering:

- Identify relevant features and variables for predictive modelling.

- Engineer new features to enhance model performance.

Data Visualization:

- Create visualizations to communicate insights and model outcomes effectively.

- Present findings to both technical and non-technical Collaborate with cross-functional teams to define project requirements and objectives.

- Work closely with domain experts to understand business needs and translate them into data science Document methodologies, data sources, and model specifications.

- Maintain clear and organized documentation for reproducibility.

Continuous Learning:

- Stay abreast of the latest developments in data science, machine learning, and predictive analytics.

- Engage in professional development to enhance skills and Proficiency in programming languages such as Python.

- Experience with machine learning libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

- Strong statistical analysis skills and knowledge of predictive and classification modelling techniques.

- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).

- Excellent problem-solving skills and attention to detail.

- Strong communication skills to convey complex technical concepts to diverse audiences.

(ref:hirist.tech)
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