Data Scientist

Noida - India

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

A Data Scientist is responsible for analyzing complex datasets to gain insights identify

trends create predictive models and support data-driven decision-making within an

organization. Data Scientists utilize statistical methods machine learning algorithms and

programming skills to extract valuable knowledge from data. They work closely with

various departments to solve business problems optimize processes and enhance overall

efficiency and effectiveness.

Requirements

1. Data Analysis and Interpretation:

Analyze large complex datasets to identify patterns trends and correlations.

Interpret data and translate findings into actionable insights for business

stakeholders.

2. Model Development:

Develop predictive models and algorithms using machine learning techniques.

Implement statistical models for forecasting classification and clustering tasks.

3. Data Preparation and Cleaning:

Collect clean preprocess and transform data for analysis.

Handle missing data outliers and inconsistencies to ensure data accuracy and

reliability.

4. Feature Engineering:

Identify relevant features and variables that contribute to model accuracy.

Engineer new features from existing data to improve model performance.

5. Machine Learning Implementation:

Select and apply appropriate machine learning algorithms for specific tasks.

Train validate and optimize machine learning models using appropriate

techniques.

6. Data Visualization:

Create visually appealing and informative data visualizations to present insights to

non-technical stakeholders.

Use tools like matplotlib seaborn or to visualize data effectively.

7. Collaboration and Communication:

Collaborate with cross-functional teams to define business problems and develop

data-driven solutions.
Communicate complex technical concepts and findings to non-technical

stakeholders clearly and concisely.

8. Experimentation and A/B Testing:

Design and conduct experiments A/B tests and hypothesis testing to validate

models and hypotheses.

Analyze experimental results and make data-driven recommendations.

9. Continuous Learning:

Stay updated with the latest advancements in data science machine learning and

related technologies.

Continuously learn and apply new methodologies and techniques to enhance data

analysis capabilities.

10. Ethics and Privacy:

Ensure compliance with data privacy regulations and ethical guidelines in data

collection and analysis.

Safeguard sensitive and confidential information during the analysis process.

Qualifications:

Masters or Ph.D. degree in Computer Science Statistics Mathematics or a related

field.

Proven experience as a Data Scientist preferably in diverse industries.

Proficiency in programming languages such as Python R or Julia.

Strong knowledge of machine learning algorithms statistical analysis and data

manipulation libraries (e.g. NumPy pandas scikit-learn).

Experience with data visualization tools (e.g. Matplotlib Seaborn Tableau).

Familiarity with big data technologies (e.g. Hadoop Spark) and databases (e.g. SQL

NoSQL).

Excellent problem-solving skills and ability to work with large complex datasets.
Strong communication skills and ability to convey technical concepts to non-

technical stakeholders.
Knowledge of business intelligence tools and practices is a plus.

Ethical and professional conduct with a focus on data integrity and accuracy.

Required Skills:

Strong knowledge of machine learning algorithms statistical analysis and data manipulation libraries (e.g. NumPy pandas scikit-learn). Experience with data visualization tools (e.g. Matplotlib Seaborn Tableau).

Required Education:

Masters or Ph.D. degree in Computer Science Statistics Mathematics or a relatedfield.

A Data Scientist is responsible for analyzing complex datasets to gain insights identify trends create predictive models and support data-driven decision-making within anorganization. Data Scientists utilize statistical methods machine learning algorithms andprogramming skills to extract valuable kn...