Data Scientist - up for complex intellectual challenges?

Handling billions of transactions annually, Nets is among the top payment processors in Europe. We keep a tight focus on making it even easier and more intuitive for our customers to handle digital payments and related services. This has made us a trusted partner to more than 700,000 merchant outlets, including 140,000 online merchant outlets, more than 260,000 enterprises and over 250 banks across Europe.

Changing the future of payments takes strong personalities

At Nets, you’ll develop in a fast-growing tech company in a high-paced, high-impact market. Working to change the future of payments, it’s not just skills and ambition that gets the job done, it’s the full package that makes the difference. Together, we impact the lives of everyone around us by powering an easier tomorrow for every citizen, bank, business and colleague. What powers you at work?

Do you see the power in data and have you had plenty of hands-on experience analysing and abstracting insights from data? Have you worked with data technologies, are you curious, innovative and take pleasure in picking up new data tools and methods? Do you want to be part of Nets Analytical factory?

As a Data Scientist at the Nets Analytical Factory, you will be exposed to complex intellectual challenges, coupled with commercial applications across our various business lines within Merchant Services.

You will be responsible for the full development lifecycle, from early proofs-of-concept, over integrating data extraction processes into streamlined pipelines, to developing and deploying models in production environments for further operational refinement. You will work in an agile DevOps setup, and you will be exposed to a pan-European data landscape that includes modern multi-tenant cluster technologies.

Skills, ambition and that little personal twist make you succeed
Your professional skills and experience form most of your qualifications, but it’s also your personality that makes the difference at Nets. 

You probably bring:

• Master’s degree or PhD in the data-intensive field like Statistics, Engineering, Computer Science, Economics, Physics, Social Sciences or similar
• Relevant courses on applied mathematics, statistical modelling, algorithms, AI, ML, econometrics
• +5 years of experience with data science in production environments
• + 3 years of experience with Big Data frameworks like Hadoop, HDFS, YARN, Spark, Hive, etc.
• Strong programming skills in at least one of the following languages: Java, Scala, Python, R
• Mastery of ML algorithm classes for supervised, unsupervised, reinforcement learning: linear regression, PCA, SVM, trees ensembles, clustering, neural networks
• Deep understanding and experience with ML algorithms to assess, combine and optimise towards best-fit cases
• Experience with ML libraries: sklearn, nltk, GloVe, spacy, sparkML, keras, TensorFlow, Spark pipeline
• Experience with SQL and NoSQL databases, visualization techniques and tools
• Experience with scalable systems and performance tuning
• Experience with distributed databases and key issues affecting performance and reliability
• Experience with data mgmt., ETL, data quality, metadata management, data loads, data profiling
• Experience with covering engineering best practices (code quality, repo hygiene, code reviews, unit testing, design documentation, deployment )
• Mastery of continuous integration and automatic testing tools
• Fluency in English, both verbal and written

We’ll offer you a dynamic and exciting professional environment with great opportunities for professional and personal development. An opportunity to be part of a company recognised by growth, innovation and development. 

We emphasise that you have solid business acumen, good interpersonal skills, and the ability to effectively communicate and interact with colleagues and internal and external stakeholders. You are not afraid of challenging the existing and you can reach independent conclusions as well as taking the need of an integrated team into consideration and being able to guide, negotiate, influence, and decide in complex, ambiguous and contradictory situations.

Apply with your CV, and if you want, you can attach a short video clip in the SmartProfile. If you’re curious to learn more about the job, you’re welcome to contact Claus Aagaard Pedersen - [email protected] 
 

You can meet more of our personalities by visiting our careers page:https://www.nets.eu/careers/employees/Pages/default.aspx

 We conduct background checks on relevant candidates through our partner Semac, www.semac.no.