Associate Data Scientist

Key Skills

Effective communication skills, Machine learning techniques, PowerBI, Python Programming, QlikView, R Programming, SAS, Spotfire, SQL, Tableau

Job Description

Where you fit

If you are a data scientist with a passion to show business impact and value to the business with your data science skills, this could be a right opportunity for you to apply.

What's the role

• Works within a variety of well-defined and standard R&D techniques, procedures, and practices.
• Works under general guidance and work instructions (work is being checked by manager or senior colleagues), which requires the job holder to apply a combination of applied and theoretical knowledge within a well-defined scope. Has knowledge about a specific discipline and may coach less experienced colleagues, but not yet regarded as an internal or external expert.
• Supports the Data Analytics team in the design and execution of analytics projects.
• Works with data and technology experts to help execute analytics projects and deploy solutions.
• Develops optimal analytical models that address the business requirement, with acceptable levels of accuracy.
• Writes efficient code that incorporates best practices in that technology.
• Supports the design and delivery of analytics projects, within or cutting across different business units in Shell.

Job Requirement:

• 2+ years of experience in a hands-on analytics or research role
• Advanced university degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, OR, etc.
• Good interpersonal communication skills
• Eagerness to learn and ability to work under tight deadlines
• Experience in any of machine learning techniques
• Sufficient experience in the any 1-2 of the following specialized analytics tools and technologies (including, but not limited to)

  1) SAS, Python, R

  2) PowerBI, Spotfire, Tableau, QlikView

  3) Process Mining – Celonis, PY4PM, PafNow, Mint, Process Gold

  4) Strong skills in SQL