Data Analyst / Data Scientist (Remote)

Nybl; Riyadh; Remote; SAR 150,000 - 200,000; Full time

Job summary

A leading IT software services company in Riyadh is seeking a Data Analyst / Data Scientist. The role involves building algorithms, utilizing machine learning techniques, and analyzing data to provide tailored reports. Candidates should have a strong background in statistical methods and programming languages, along with excellent communication skills. This position offers an opportunity to work on innovative projects in a dynamic environment.

Qualifications

• Experience in statistical and data mining techniques using Python, R, SQL.
• Knowledge of advanced machine learning techniques and big data tools.
• Excellent communication skills for coordinating across teams.

Responsibilities

• Build algorithms and design experiments for data extraction and reporting.
• Use machine learning tools to produce solutions to problems.
• Maintain communication to understand data needs and report results.

Skills

Statistical techniques

Data mining techniques

Machine Learning

Big data analysis

Programming languages

Data visualization

Data architecture

Communication skills

Research skills

Education

Bachelors in Computer Application

Tools

Python

R

SQL

Hadoop

Hive

Spark

C

C#

Java

Job description

Bachelors in Computer Application(Computers)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

responsibilities

• work closely with nybl to identify issues and use data to propose solutions for effective decision making
• build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation
• use machine learning tools and statistical techniques to produce solutions to problems
• test data mining models to select the most appropriate ones for use on a project
• maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• create clear reports that tell compelling stories about how customers or clients work with the business
• assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• horizon scan to stay up to date with the latest technology, techniques and methods
• conduct research from which you'll develop prototypes and proof of concepts
• stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

required skills, abilities, education, and experience

• Experience and knowledge in statistical and data mining techniques using (e.g., python, R, SQL)
• Experience and knowledge in applying advance Machine Learning techniques (e.g., Neural networks, supervised and unsupervised ML, computer vision and image processing, text analysis)
• Experience and knowledge in big data analysis and management and distributed computing tools (e.g., Hadoop, Hive, Spark)
• Experience and knowledge in one or more programming languages (C, C#, Java)
• Experience analyzing data from 3rd party providers: (e.g., Google Analytics, Site Catalyst, Facebook Insights)
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Willingness to learn new technology.
• Able to work independently on researching solutions and applying findings.

Company Industry

• IT - Software Services

Department / Functional Area

• IT Software

Keywords

• Data Analyst / Data Scientist (Remote)

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