• Data Scientist

    Location : Country (Full Name) Spain
    Location : City
    Regular Full-Time
  • Mission


    Who We Are

    Founded and continuously led by inventor and entrepreneur Tony Aquila, Solera is a global leader in digital technologies that connect and secure life's most important assets: our cars, homes and identities. Since its inception in 2005 as a garage-based startup, Solera has grown aggressively with over 50 acquisitions across its platforms The company's current product solutions include Audatex, Autodata, AutoPoint, CAP/HPI, Colimbra, Digidentity, Enservio, Explore Data, Hollander, Identifix, Inpart, LYNX and TitleTec, as well as the company's flagship Digital Garage application. Today, Solera processes over 300 million transactions annually for approximately 235,000 partners and customers in over 80 countries. Unified by a strong culture that values uncommon entrepreneurial thinking and continuous "do-it-different" innovation, Solera's global workforce of 6,700+ associates come from diverse forward-thinking industries that include automotive technology, artificial intelligence, software development, data sciences, cybersecurity, cognitive design, and digital identity protection. For more information, please visit solera.com, fb.com/solerainnovation, @soleraworks on Instagram, or @SoleraInc Twitter.


    The Solera Way

    Solera’s uncommon culture is based on three simple principles: Think 80/20 (Focus), Act 30/30 (Efficiency), and Live 90/10 (Accountability). We define our mindset using Our 3H’s: Humility, a Hunger to succeed, and a desire to Hunt for opportunities to win. We train our volunteers to engage with each other modulating between their intellect (IQ) and emotional intelligence (EQ) using our 3Fs: Facts, Finesse, and Force. Solera has become a global technology leader that is constantly growing in the double digits. The principles, drills, and values associated with the Solera Way have been fundamental to Solera’s success and our ability to grow, continuously change, and innovate.


    Are You Uncommon?

    We’re on the hunt for an experienced Data Scientist who ranks in the top quartile among their peers. Someone who has a highly competitive and entrepreneurial mindset that is wired with a team-first attitude, has no problem rolling up their sleeves to execute their missions, and can modulate between leading and following as needed. You will serve as the Data Scientist.

    Position 80s

    What You’ll Be Doing

    At Solera, we believe in providing clarity and focus to what are volunteers are responsible for – their mission. The 80’s, as we call them at Solera, are the employee’s priorities associated with their role or mission. The mission 80’s for this role, are:

    • Develop and implement processes and systems to extract knowledge or insights from data.
    • Develop technical solutions that will streamline the current data development processes.
    • Act as a funnel for ideas and collaborate with different teams to create new solutions.
    • Research & identify new technologies to drive internal innovation.
    • Solve complex business problems in a timely and robust manner.
    • Creating automated anomaly detection systems and constant tracking of its performance
    • Extract huge volumes of data from multiple internal and external sources.
    • Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities.
    • Communicate predictions and findings to management and IT departments through effective data visualizations and reports.


    Are You Qualified?

    • At least 3 years of experience
    • Educated to degree level from a numerate discipline (preferably Computer Science).
    • Data mining knowledge and experience.
    • Data modeling experience.
    • Big Data Processing Platforms: Hadoop, Spark, Flink, etc.
    • Optimization.
    • Scripting Languages (R, Python) and ability to learn new coding languages and programs.
    • Software development principles (design patterns).

    Nice to have:

    • Understanding of machine learning techniques and algorithms (k-NN, Naive Bayes, SVM, Decision Forests,…)
    • Visualization tools ( Desirable Qlik Sense or Microstrategy)
    • Agile methodologies
    • Platform experience, JIRA, Confluence
    • Big Data architecture (i.e. kappa, lambda…)
    • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase


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