Data Analytics Specialist - Santander Consumer Mobility Services (Ulity)

Key Skills

Java Programming, Risk Analytics, Python Programming, SQL, PowerBI, Big Data Technology, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, Data Visualization, Tableau, Algorithms, SPARK Programming, Bash scripting

Job Description

Santander Consumer Mobility Services (Ulity), the new mobility company of Santander Group. 

Would you like to be part of one of the largest transformations that the World is experiencing? In mobility services, consumer expectations are rising, and technology advances are enabling amazing customer experiences and new businesses that were not possible before.

The digitalization and the emergence of disruptive platforms as a business model has reshaped other industries and is poised to do the same in mobility services.

At Ulity, we are on a mission to reshape mobility through a two-sided ecosystem that enables new relationship model between users and mobility suppliers (vehicle manufacturers, dealers, etc.) 

We are expanding our pan-European subscription marketplace Wabi (wabicar.com) and we also offer Software as a Service solutions to mobility partners.

Our team members are coming from very different type of companies, including OEMs, car rentals, financial services, tech companies or startups among others. We believe in the power of diversity in backgrounds, nationality, gender and more.

KEY RESPONSABILITIES

• Understanding the data which our clients provide to us;
• Cleaning that data and validating that it is correct;
• Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc
• Iteratively computing features and tuning parameters to improve the quality of the model;
• Work together with key stakeholders (data scientists, engineers, risk managers) internal and externally.
• Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling.

EXPERIENCE

• 8+ years in similar roles

EDUCATION

• Master or PhD in Computer Science, Data Science, Mathematics or similar Engineering

SKILLS/KNOWLEDGE

• Professional experience with Python programming language
• Professional experience working with machine learning algorithms and using statistical and problem structuring methods
• Knowledge of Big Data technologies such as Spark, Hadoop and related;
• Proficiency in bash, Python and either Java or Scala;
• Proficiency in mathematical computing
• Proficiency in SQL
• Fluency in English is mandatory

OTHER RELEVANT INFORMATION

• Experience in data visualization is a plus (Tableau, PowerBI)
• Strong communication and presentation skills both verbal and written
• Team work and collaborative mindset
• Growth mindset with ability to quickly shift or change plans
• Excellent time-management and organizational skills.
• Proactive and dynamic personality.
• Startup experience.