Description
Responsible for analyzing strategic business objectives, utilizing statistical and mathematical programming techniques for machine learning and predictive analytics, developing and implementing algorithms and models, applying natural language processing, designing network simulation models, developing automated solutions, prototyping applications, managing projects, and communicating complex findings as a Data Scientist.

Key Responsibilities

Analyze strategic business objectives and leverage advanced analytical research to drive data-driven decision-making.
Utilize statistical and mathematical programming techniques for machine learning, predictive analytics, and other advanced data modeling tasks.
Develop and implement machine learning algorithms and predictive analytics models to extract insights and make future predictions.
Apply natural language processing techniques to extract meaningful insights from unstructured textual data.
Develop algorithms and methods for efficient information retrieval from large datasets.
Design and optimize network simulation models to improve efficiency and performance.
Develop automated solutions to streamline processes and increase operational efficiency.
Prototype and develop applications to demonstrate the feasibility and functionality of data-driven solutions.
Manage data science projects from inception to completion, ensuring adherence to timelines and deliverables.
Communicate complex analytical findings effectively through data visualization and storytelling techniques.

Education
Master's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or a similar discipline.

Relevant Work Experience
As a data scientist based on the following number of years:

Standard I: Two (2) years

Knowledge, Skills and Abilities

Fluency in English
Strong foundation in statistics and machine learning
Strong programming skills in Python
Solid SQL skills for data analytics
Ability to present and communicate findings to management stakeholders
PowerPoint, reporting, and dashboarding skills necessary
Process automation and problem-solving skills considered a plus
Proven ability to deliver end-to-end data projects
Demonstrated business impact from prior work

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Data Scientist 1

Job Description

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