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Data Science, Data Engineering & AI Professionals


RekryilmoitusData is the number one business driver in the 21st century, it gives us insights on improving operations and delivering personalized services to our customers. We at Wapice create state of the art AI powered solutions to enable our customers reach their business goals and to stay ahead of the competition. We continuously look for new and innovative ways for our customers to extract insights from the large volumes of data they acquire. We provide our comprehensive services utilizing the latest computer vision, anomaly detection, prediction, natural language processing and data analytics technologies. We deploy our solutions to run reliably and seamlessly at the edge, cloud or local server platforms to accomplish high availability and performance requirements.

Sounds interesting? We think so too! We're now looking to strengthen our troops with multiple data experts in several tracks, and also in different seniority levels. Whether you're a student or a seasoned data science professional, we'd love to hear from you. Below we'll tell a little bit of different tracks we're working on. 

Data Science

As a data scientist you will be responsible for providing value from data by working in different customer projects. Work starts from understanding the customer's data together with customers´ domain experts and setting hypotheses leading towards valuable results. You will be constantly deepening your theoretical knowledge by testing the results of the latest scientific research in practice and developing your software development skills by designing and implementing production ready AI solutions.

There are large amount of different technologies and concepts applied in data analytics. We expect you to have experience or strong will to learn some of the following:

  • Python or C/C++
  • Linear algebra, multivariable calculus, statistics, signal processing, machine learning
  • Experience in processing of video, audio, text, multivariate data and time series
  • Applied knowledge of object detectors, classification, clustering, anomaly detection, prediction, NLP
  • TensorFlow, Keras, PyTorch, Sklearn, OpenCV, Numpy 

Data Engineering

As a data engineer you will work as a key contributor in building the success of our big data and data science projects. You know at least the basic principles of data processing. You are interested in the design of data platforms. Modernizing data warehousing and refining the data gathered from IoT devices are part of your tasks as well. You have solid knowledge of database design, SQL and star schema. You should have experience in building data pipelines, big data processes and you understand the challenges that a large amount of data may bring.

More specifically, we'd like you to be familiar with a couple of the technologies listed below:

  • Python, SQL, Bash, Go, Java, Scala, C#
  • Data warehouse/data lake design and ETL processing
  • Data orchestration tools
  • Data processing tools
  • Relational databases
  • Non-relational data stores such as wide column store, document-storage, key-value storage
  • Cloud platforms (Azure, AWS, GCP from a data engineer’s perspective)
  • Docker
  • Knowledge of optimizing models to latest NVIDIA ampere family GPUs (e.g. A100 and A30) and other accelerators including data center and edge levels
  • Large scale deployment of Tensorflow and Pytorch environments 

Data Analysts

As a data analyst you can work across long range of areas, including business intelligence, data assurance and data quality. Here it's more likely to work in close co-operation with our customers by designing and interpreting data dashboards, graphs and visualizations to support decision making.

More specifically we hope some of the following ring a bell:

  • Business Intelligence and data visualization tools, e.g. Power BI or Tableau
  • Databases and SQL
  • Monitoring and auditing data quality
  • Data mining and analyzing
  • Domain knowledge in e.g. finance, marketing or sales
  • Working closely with customer interface

Data Platform Architect

Finally as a data platform architect you will work with multiple internal and external teams to design and implement the technical vision for our or our customers' data platforms as a whole. This requires having deep knowledge to solve issues arising from working with multiple data sources and enterprise architectures. In this role we hope you share our view, that it's not bizarre to love and be passionate about data.

More precisely we're looking for someone with:

  • Several years of experience in data engineering roles, ideally in a similar environment as Wapice's
  • An ability to design, implement, refactor and extend highly performing, scalable, reliable and understandable data pipelines
  • Deep expertise in modern data engineering approaches and a willingness to stay on top of development and where the industry is going
  • An analytical approach to problem solving and a aptitude to cut through ambiguity and noise to find the right solution
  • Experience in working with customer interface with data architecture and applications
  • Experience in working with cloud platforms (Azure, AWS, Alibaba)
  • Skills in Python, Java, .NET, Scala, SQL and/or other relevant languages, frameworks and databases

Why should you choose Wapice, then?

Wapice is a technology and digitalization partner established in 1999 and employing over 350 people in 10 sites around Finland. We deliver solutions to globally leading industrial companies mainly in the fields of energy technology and moving machinery. We help our customers transform into digital champions for creating a better future. Our competence ranges from electronics design, software development in embedded software and data science up to modern mobile and cloud based software solutions. We also support our customers in future technologies such as 5G, IoT and Artificial Intelligence with our expertise. Currently our own product portfolio consists of three cloud based products which are IoT-TICKET®Summium® and EcoReaction.

We also invest highly in the well-being of our community and employees. On top of meaningful and challenging work and a great culture, we offer our people an extended line of benefits, such as a vast occupational healthcare system, sports and culture benefit, free time insurance, lunch benefit, many staff events and various ways to develop your professional skills. Read more about our culture and working at Wapice at our career site.

Did we catch your interest?

Great! We can't wait to get to know you better. Leave your application to email address: rekry@wapice.com, and we'll be in touch.

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Hakuaika: -
Sijainti: Helsinki, Jyväskylä, Tampere, Turku, Vaasa
Linkki: https://careers.wapice.com/en/jobs/1302606-data-science-data-engineering-ai-professionals?utm_campaign=jobs-widget&utm_source=careers.wapice.com&utm_content=jobs&utm_medium=web
Yhteydenotto: rekry@wapice.com


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