Senior Data Scientist - Riyadh

MOZN; Riyadh; On-site; SAR 120,000 - 150,000; Full time

Job summary

A leading data science firm in Riyadh is seeking a strategic Data Scientist to join its innovative team. You will leverage your strong statistical and programming skills to solve complex problems, deliver data-driven insights, and enhance business value. With a focus on machine learning and natural language understanding, you will engage with cross-functional teams and stakeholders. The role promises competitive compensation, health benefits, and a vibrant work culture, making it an exciting opportunity to grow in the analytics ecosystem of Saudi Arabia.

Benefits

Competitive compensation

Top-tier health insurance

Dynamic workplace environment

Qualifications

• B.S. or M.S. in Computer Science, Statistics, Mathematics, or similar quantitative fields.
• Over 3 years of experience for B.S. degree and over 2 years for M.S.
• Experience in programming, data manipulation using Python or similar languages.

Responsibilities

• Work with teams to deliver data-powered solutions.
• Communicate results clearly to clients.
• Analyze insights from complex datasets.

Skills

Machine Learning

Statistics and Probability

Python

Data Manipulation

Deep Learning

Natural Language Understanding

Education

B.S. or M.S. in Computer Science, Statistics, Mathematics

Tools

PyTorch

Job description

About Mozn

Mozn is a rapidly growing and leading data science & product development firm based in Riyadh with a proven track record of excellence in supporting and growing the analytics ecosystem in Saudi Arabia. Mozn is a trusted analytics partner for the largest government organizations in Saudi Arabia, as well as many large corporations and startups. We are in a critical stage of scaling the company to build institutional analytics knowledge within Mozn and Saudi Arabia. It is an exciting time to work in Saudi Arabia; through Vision 2030, the rate of social and industrial change is staggering.

About the role

We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn’s Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.

What you'll do

• Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
• Communicate highly technical results and methods clearly to a wide variety of external clients.
• Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
• Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn’s solutions.
• Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
• Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
• Staying informed with new frameworks and technological advances to increase Mozn’s efficiency and productivity.
• Coordinate with internal teams to set up and execute solution development strategies.
• Overseeing a large technical area of work, defining project priorities, and technical solutions.

Qualifications

• B.S. or M.S. in Computer Science, Statistics, Mathematics, or similar quantitative fields.
• Relevant experience as a data scientist, or in similar fields that require developing ML/AI models. Over 3 years for B.S. degree and over 2 years for M.S.
• Programming experience over two years in software development, including object-oriented programming, and data manipulation using Python or other languages.
• Good understanding of statistics and probability, such as Hidden Markov Models, Probabilistic Graphical models, or Bayesian inference.
• Applied experience in machine learning, such as diagnosing models and modifying loss functions.
• Experience in deep learning frameworks, such as PyTorch.
• Expertise in Natural Language Understanding and/or Probabilistic Machine Learning applications.

Benefits

Why Mozn?

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.