Job description

Data Scientist (f/m/d)
The LexisNexis Intellectual Property (IP) (
https://www.lexisnexisip.com
) division provides international patent content and a suite of on-line and analytic tools to meet the needs of the intellectual property market. We enhance and deliver data for the LexisNexis IP search and analytics applications, which provide our customers with insights and metrics supporting their business decisions.
Our corporate culture is driven by a commitment to excellence, innovation, and a strong dedication to our customers, employees and communities. You will be collaborating with stakeholders from different cultures and roles. It is a fun place to work with a vibrant and diverse team, giving you the freedom to grow and actively contribute.

Role
For our Content Enrichment team located in Bonn (
https://www.patentsight.com/about-patentsight
) we are looking for a passionate Data Scientist for building enrichment processes that extract valuable insights from large amounts public patent data. You will design machine learning workflows that are robust to large amounts of data, frequent updates, and data from multiple vendors. You will organize and implement data cleaning and feature transformation workflows and measure the enrichment quality. You will use SQL and Python on Databricks notebooks and SQL code on relational databases.

Qualifications
  • 3+ years’ experience in a data science area with technical competencies demonstrated.
  • Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.

Technical skills
  • Required: 2+ years of professional experience with SQL and Python development
  • Required: 2+ years of professional experience with machine learning (clustering, classification and regression with simple to advanced models) and model evaluation
  • Optional: Experience with natural language processing
  • Optional: Experience with SAS, R or statistical modelling
  • Optional: Experience with T-SQL, XSLT, .NET, UML
  • Optional: Experience with big data computation platforms, e.g. Databricks, Apache Spark, Hadoop, or Azure Synapse
  • Optional: Experience with a ETL orchestration framework, e.g. SSIS, Azure data factory, Azure Synapse, AWS data pipeline, Stitch or Talend
  • File management skills and logic.
  • Strong oral and written communications skills in English.
  • Ability to work independently and with team members from different backgrounds in a constantly changing environment
  • Ability and desire to learn new processes, tools, and technologies

We offer you
  • A highly creative and motivated and international team
  • We work for fascinating customers from among the most innovative companies in the world
  • Modern, bright office space right next to the river Rhine, with good connections to public transportation
  • Partially working remote
  • Free parking or free public transport (job ticket)
  • Free lunch and drinks
  • An attractive salary

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact accommodations@relx.com or if you are based in the US you may also contact us on 1.855.833.5120
LexisNexis, a division of RELX Group, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact accommodations@relx.com or if you are based in the US you may also contact us on 1.855.833.5120.

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