Operations Data Scientist

The Operations Systems team establishes business-specific data/software requirements and produces routine reporting, added-value analysis, or new product introductions. Duties include a variety of data-related activities: gathering business requirements, implementation, optimizing application performance, and debugging as needed.

Key engagement partners are:

§ software providers (mostly RATP-group internal) to ensure technical compliance and versions alignment

§ data engineering team to develop solid source-of-truth data repositories for partner departments

§ digital team to deploy new products to company portal/servers

The Operations Data Scientist will lead efforts in extracting key insights/value from high-volume systems such as timetables, rosters, schedules, ridership data, and train control and monitoring systems. This will require:

• familiarity of fundamental statistics and libraries for handling date/time datatypes

Key responsibilities:

• Perform standard and non-standard data and numerical transformations programmatically

• Maintain and update a growing library of department-specific programs and visualizations

• Design, develop, administer, and maintain business intelligence digitalized reporting solutions utilizing Qlik Sense, Microsoft Power BI

• Develop dynamic visual dashboards to support operational needs

• Develop business intelligence solutions and analytics products for all departments and units as needed

• Optimize existing programs and deploy for business users

• Maintain a growing library of department-specific programs and visualizations

• Liaise with software vendors, internal users, and clients to achieve desired features and performance

• Apply different project management techniques and uphold high documentation and communication standards.

Typical activities:

• Partner with operational departments to define, develop solid data streams, and manipulate KPI data

• Investigate edge cases with relevant departments and interpret required code changes

• Optimize code for speed and performance, create and re-use functions

• Package existing programs for end-user friendliness (interface, dynamic features, integrations…)

• Maintain repos & annotations for other developers and user guides business users

• Attend business meetings and operations to collect/forecast requirements and develop pilot applications

• Maintain all work in progress and action tracking on accessible locations for all relevant parties
• Set up regular rhythms with each department
• Develop and build new Qlik Sense applications

• Maintain data lake and Qlik Sense data integrations and utilization

• Occasionally restructure source data; influence the transition to clean data structures from the source

• Manage access to relevant SharePoint locations and business applications for all stakeholders

• Make the best use of the company’s existing software packages. Work closely with product owners and development teams on custom developments

• Upskill colleagues and develop short briefs on use of new/useful features

• Increase adoption of company tools and portals
• Package or deploy applications as needed

QUALIFICATIONS

• Bachelor’s degree is preferred in Computer Science, Mathematics or related fields.

• Additional certifications in related fields such as data science, visualization technologies, …

KNOWLEDGE

• Proficiency in at least one high-level programming language

• Understanding of relational database (SQL Server, MySQL, Oracle, etc). This includes the ability to write SQL queries.

• Understanding of dynamic data visualization and data analytics

• Able to formulate solutions with data

• Expert in Microsoft Office

• Familiarity with project management software tools, methodologies, and best practices

• English fluency is a must, French language is a plus

EXPERIENCE

• 3 to 5 years of experience in data science/software development

• Experience in software development or data analysis (Python, C++)

• Experience with data visualization tools (Qlik, Power BI, Excel)

• Completed data science projects as a hands-on implementer
• Understanding of corporate environment

Desired behaviors:

• 
  Extraordinary customer service and relationship management experience

• Able to collect/forecast requirements and develop pilot applications/visualizations

• Curious to extract insights and create value for partner departments

• Ability to work independently and within a team

• Ability to explain complex ideas to those with limited IT and systems knowledge
• Excellent verbal and written communication skills