Data Science Intern

Key Skills

Algorithms, Analytical and Problem solving, Data science techniques, Data Visualization, Database, Machine learning techniques, NoSQL, PowerBI, Python Programming, SQL, Tableau

Job Description

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. 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.

As a Data Science Intern, your daily workload might include:

• Collaborate with the client and Data Science team to identify business needs and define project goals and objectives.
• Assist with analyzing data, statistical analysis, and the development of machine learning models.
• Support with the design and execution of experiments and simulations to detect patterns, trends, and insights in data.
• Handel the development of data visualizations and dashboards to communicate results and insights to stakeholders.
• Participate in team meetings and discussions, share progress updates, and provide suggestions for improving project outcomes.
• Assist with the data preparation process, including data cleaning, feature engineering, and data transformation.
• Research new data sources, technologies, and techniques to improve the quality and accuracy of data analyses and models.
• Participate in company-organized training programs, learning opportunities, and sessions to improve skills in the Data Science field.
• Maintain confidentiality and security of the client's data and information.

Requirements

Our target profile is candidates with...

• Bachelor's Degree in Computer Science, Mathematics, Statistics, Engineering, or related fields.
• Proficiency in programming languages such as Python, and familiarity with database technologies like SQL and NoSQL
• Knowledge of machine learning algorithms, and experience in working with data visualization tools like PowerBI.
• Strong problem-solving skills, including the ability to think creatively and critically analyze data to identify trends and insights
• Effective verbal and written communication skills to articulate complex technical concepts to both technical and non-technical audiences.
• Ability to work independently and collaboratively in a team environment
• Ability to multitask, and work under pressure in a fast-paced environment
• Exceptional attention to detail, time management, and organizational skills.
• Must not be afraid to be turned into a meme.
• Must be ready to compete with great board game champions
• Must be Humble, Excellent, Relevant with a high sense of Ownership.

Benefits

We think you'll enjoy working at Mozn. Here's why:

• 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.
• You can enjoy being in 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