Python/data Science Trainer

6 months ago

Pune Maharashtra, India Payas Technologies Pvt Ltd Full time

We are seeking a talented and motivated Python/Data Scientist to join our team at [Company Name]. In this role, you will be responsible for leveraging your expertise in Python programming and data science to extract valuable insights from our data, develop predictive models, and contribute to data-driven decision-making.

**Key Responsibilities**:
**Data Analysis**: Analyze and clean large datasets to identify trends, patterns, and anomalies.

**Machine Learning**: Develop and implement machine learning algorithms for predictive modeling, classification, and clustering.

**Data Visualization**: Create visually compelling data visualizations to communicate insights to non-technical stakeholders.

**Feature Engineering**: Engineer and select relevant features for model development.

**Model Evaluation**: Evaluate model performance and refine algorithms to improve accuracy and efficiency.

**Data Preprocessing**: Prepare data for analysis, including data normalization, transformation, and feature scaling.

**Collaboration**: Collaborate with cross-functional teams to integrate data science solutions into business processes.

**Research**: Stay up-to-date with the latest trends and technologies in data science and machine learning.

**Qualifications**:
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

Proven experience in Python programming for data analysis and machine learning.

Strong knowledge of data manipulation libraries such as Pandas and NumPy.

Proficiency in machine learning frameworks and libraries like Scikit-Learn, TensorFlow, or PyTorch.

Solid understanding of statistical analysis and hypothesis testing.

Experience with data visualization tools like Matplotlib, Seaborn, or Plotly.

Excellent problem-solving skills and attention to detail.

Strong communication and teamwork skills.

Previous experience with data engineering or big data technologies (e.g., Hadoop, Spark) is a plus

**Job Types**: Full-time, Part-time

Schedule:

- Day shift
- Morning shift
- Rotational shift

**Experience**:

- total work: 1 year (preferred)

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