Senior Data Scientist

Gratitude Inc

1447 Views

2 months ago

Senior Data Scientist

5-30 Year(s)

95 - 100 Thousand p.m

Manila (Mandaluyong)

Job Description

Key Skills

Agile Python Azure.net Power BI data scientist

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Job Title: Senior Data

About the Role:

The Senior Data Scientist will be responsible for designing and implementing advanced analytics solutions, including machine learning models and Generative AI applications. The role also includes data engineering tasks, such as building data pipelines, and data visualization responsibilities using tools like Power BI.

Scope of Work and Responsibilities

• Design and develop machine learning models and Generative AI applications.

• Perform data analysis and statistical modeling to extract insights.

• Build and maintain scalable data pipelines and ETL processes.

• Create interactive dashboards and reports using Power BI.

• Collaborate with stakeholders to understand data requirements.

• Ensure data quality and integrity through validation and quality checks.

• Stay updated with the latest trends in data science and visualization.

Educational Requirements:

Graduate of a Bachelor of Science in Data Science, Statistics, Information Technology, Engineering, or other related fields. Advanced degrees or certifications in machine learning or AI are an advantage.

Relevant Experience and Other Requirements:

• At least five (5) years of experience in data science or related roles.

• Experience in machine learning, statistical modeling, and Generative AI.

• Proficiency in Python, R, SQL, and data visualization tools like Power BI.

• Experience in building and maintaining data pipelines.

• Familiarity with cloud platforms such as Azure or AWS.

• Experience working in Agile teams and with cross-functional stakeholders.

• Ability to work with senior executives from diverse cultures.

Reporting and Coordination

• The Senior Data Scientist will report to the Project Manager and/or designated staff. The Data Scientist will work closely with business stakeholders, data analysts, analytics engineers, and other teams within the organization.

• Comprehensive technical documentation and insights reports and recommendations Data.

Role

IT Support

Timings

Day Shift (Permanent)

Industry

IT-Software / Software Services

Work Mode

Hybrid

Functional Area

IT Software/Hardware

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