At DATAPAO, we are on a mission: to make data work for our customers. In doing so, we are building a one-of-a-kind Data Engineering and Science service company covering the full data journey - from enablement through architecture to implementation.

We are on the look for a well-seasoned Senior Data Scientist to join our team.
 
What (exactly) will you do?
 
You will participate in scoping engagements, designing high-level architecture, define subtasks and schedule the project. After the planning phase you will deliver the project on your own, or take the role of the technical lead of a team of DS/DEs, and deliver together. During the project you will act as the client facing interface to our customers.
During non-delivery projects you will provide ML/DS consultancy to technical teams for our EMEA customers. Our customers are either direct DATAPAO customers or coming via partnerships (Databricks is our most important and biggest partner company).
 
Besides customer projects you will also work on internal solution development, research, grow your industry-specific knowledge, and learn new technologies & methodologies. Participate in the Data Science Group days delivering solutions for internal usage or to create value for customer stakeholders. If you would like to and have the required people skills you can mentor other members of the data science team. Mentorship includes regular mentorship meetings, one-on-ones, participation in performance reviews, etc.
 
Optionally from time-to-time you can take part in developing Data Science and Machine Learning education courseware to be delivered to the customers or to internal teams and/or new hires.
Sometimes you will provide technical (pre-sales) support for our Sales Team or create contents and materials to be used in marketing and sales events.
 
We would strongly encourage you to share insights and observations with the DATAPAO management regarding the Data Science Team and possible improvements.
 
What does it take to fit the bill?
Soft skills
  • Strong consultant mindset & passion for customer experience - you prioritize your work with the customer in mind and you seek to advise (rather than purely execute) your customers on the best-in-class technical solutions.
  • Excellent communication & presentation skills - you can adjust your communication style, and articulate complex, technical concepts, data stories to all types of audiences and translate between business and technical people.
  • Ability to deliver data science projects - you are capable of leading a team of data scientists/engineers in data science heavy projects. You must be able to fully understand business requirements, translate it to the team and deliver it together with the team. You might also work on projects on your own. After delivery you must be able to explain the results of your work to non-technical people.
  • Mentoring skills & strong predisposition to knowledge-sharing - are things that excite you. We consider ourselves a learning organization and believe that these are meaningful tools for one to compound his/her impact across the team and the organization. Thus technical mentoring and/or people management  hands-on experience is a big plus.
  • You thrive when having to solve problems & take ownership - you solve problems on your own and advise (or coordinate) others on how to do the same. Moreover, you love stepping up as a technical lead or identifying organizational gaps and filling them in - being an organizational process or documentation gap, a customer communication miss-match, or a resource allocation deficiency.

  • You are fluent in English.
Tech stack
  • Software engineering foundations (git, clean code principles, OO programming, etc.)
  • Python and the most common DS libraries
  • Cloud technologies, advanced knowledge in at least one if the bigger ones (preferably Azure or AWS)
  • [Optional] Distributed computing, preferably Spark
  • Proficiency in any deep learning framework
  • Understanding Large Language Models and familiar with frameworks/libraries
  • Data visualization tools/libraries
  • [Optional] MLOps experience
What do we offer?
  • World-class educational benefits - there’s no shortage of learning opportunities at DATAPAO meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access to our internal library
  • Flexible working arrangements & PTO Days: DATAPAO is built on a culture of trust. We know that there is no such thing as “one size fits all” when it comes to “a schedule that works.” Hence, we trust you to manage your working hours as you see fit as long as they do not negatively impact your colleagues and the business. Additionally, you can choose to spend as many days as you like in the office or work from home, whatever works best for you and our customers. 
  • Private Medical Insurance - we provide a private medical package (Medicover Blue) via Medicover.
  • The chance to make an impact in a high transparency culture - open feedback and a no politics environment are things we value a lot at DATAPAO. Additionally, you'll get the chance to shape the future of a rapidly growing tech company (we had grown 3X in 2022), to work with cutting-edge technologies, and to help some of the biggest and most innovative companies in the world to sort out their data puzzles.

For this role, our gross salary ranges from 1,500,000 to 2,000,000 HUF/month depending on your assessed seniority level during the selection process.

 
About DATAPAO

At DATAPAO, we are on a mission: to make data work for our customers. In doing so, we cover the complete data and cloud transformation journey from architecture through engineering to enablement. We use cutting-edge technologies to help some of the world's biggest and most innovative companies solve their data puzzles by implementing lasting data & cloud solutions.

We are delivery partners and the preferred training provider for Databricks, the creators of Apache Spark. Additionally, we are Microsoft Partners in delivering cloud migration and data architecture on Azure.

Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Johnson&Johnson, Richter, Bayer, Shell, Essity, and Vonage, to name just a few.

As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.

Last but not least...

For more insights into DATAPAO, check the below links:

Alternatively, you can always follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com.

We’re strong believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.

When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application.


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