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Trainee Data Scientist

Rackspace

Full-time
United Arab Emirates
azure
python
sql
aws
machine learning
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

We are seeking a Trainee Data Scientist to support our AI product development by analyzing data, building predictive models, and extracting insights. You will work with real-world datasets, collaborate with AI engineers, and contribute to cutting-edge machine learning applications

Responsibilities

  • To develop analytical models for insight generation that improves business decision making.

  • Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.

  • Create and maintain optimal data pipeline architecture,

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.

  • Will contribute to data science team discussions, providing insight on current approaches and methods,

  • Follows established MLOps practices in software development.

  • Data science model selection and implementation.

  • Working independently while collaborating well within the team.

  • Have worked autonomously and delivered results on schedule.

Person Specification

  • Recent graduate in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training

  • Proficient & interest in machine learning and statistics

  • Software development experience

  • Interest & Proficiency in Python/R/SAS, SQL, Data Visualization (e.g. Tableau or Power BI), deep learning frameworks, Spark

  • Excellent communication skills

  • Proficient with cloud computing in environments such as AWS, Google Cloud, Microsoft Azure

  • Awareness of data science methodologies.

  • Attention to detail

  • Multi-tasking

  • Strong analytical skills

#LI-JB2

#LI-remote

About the job

Full-time
United Arab Emirates
67 Applicants
Posted 1 month ago
azure
python
sql
aws
machine learning
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Trainee Data Scientist

Rackspace
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

We are seeking a Trainee Data Scientist to support our AI product development by analyzing data, building predictive models, and extracting insights. You will work with real-world datasets, collaborate with AI engineers, and contribute to cutting-edge machine learning applications

Responsibilities

  • To develop analytical models for insight generation that improves business decision making.

  • Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.

  • Create and maintain optimal data pipeline architecture,

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.

  • Will contribute to data science team discussions, providing insight on current approaches and methods,

  • Follows established MLOps practices in software development.

  • Data science model selection and implementation.

  • Working independently while collaborating well within the team.

  • Have worked autonomously and delivered results on schedule.

Person Specification

  • Recent graduate in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training

  • Proficient & interest in machine learning and statistics

  • Software development experience

  • Interest & Proficiency in Python/R/SAS, SQL, Data Visualization (e.g. Tableau or Power BI), deep learning frameworks, Spark

  • Excellent communication skills

  • Proficient with cloud computing in environments such as AWS, Google Cloud, Microsoft Azure

  • Awareness of data science methodologies.

  • Attention to detail

  • Multi-tasking

  • Strong analytical skills

#LI-JB2

#LI-remote

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