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

We are currently looking for a well-versed (Senior) Data Scientist to join the team to deliver consulting expertise our EMEA and US-based customers.

What (exactly) will you do?

As a (Senior) Data Scientist, your responsibilities will span across the following dimensions:

Project Planning & Delivery

In the planning phase of a project, you're expected to lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules. After the planning phase is over, you'll deliver the project on your own or within a mixed DS/DE team setup where you'll oftentimes take the role of a technical lead. Furthermore, during the project delivery, you will be client-facing, acting as DATAPAO's interface or SPOC to our customers.

During non-delivery cycles, you will provide ML/DS consultancy to technical teams for our EMEA customers. Our customers are either direct DATAPAO customers or coming via our Databricks partnership.

Data Science & AI consultancy

As a consultant, you will work closely with Databricks and cloud providers to understand the needs and requirements of clients. Based on your understanding, you will recommend solutions that leverage Databricks or native cloud features. Additionally, you will be responsible for conducting workshops to enable clients on these platforms.

Internal Solution Development

Besides customer projects, you’ll also work on internal solution development and research initiatives. Furthermore, you will be expected to grow your industry-specific knowledge and learn new technologies & methodologies by participating in the Data Science Group and by delivering solutions for internal usage.

Wider Organizational Initiatives

Occasionally, you can participate in developing Data Science and Machine Learning courseware (for our Education arm) to be delivered to customers or internal teams. You could also add value by providing technical (pre-sales) support for our Sales Team or creating content for marketing and sales.

Last but not least, if you would like to and have the required people skills, you can mentor other members of the data science guild. This includes regular tech mentorship meetings, one-on-ones, knowledge sharing sessions, and participation in performance reviews among others.

What does it take to fit the bill?

Soft Skills

• Strong consultant mindset & passion for customer experience - customer success is your default mindset. Hence, you go the extra mile and seek to advise (rather than purely execute) your customers on the best-in-class technical solutions even when inconvenient;

• Excellent communication & presentation skills - you can adjust your communication style, and articulate complex, technical concepts and data stories to all types of audiences, and translate between business and technical people;

• Ability to deliver data science projects - you're capable of leading a team of data scientists/engineers in data science-heavy projects. You must be able to fully understand and translate business requirements, deliver them together with the team, and explain the proposed solution(s) to a non-technical/business audience;

• You thrive when having to solve problems & take ownership - you solve problems on your own and guide 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 and willing to travel (mainly in the EU and generally within a short business trip setup) up to 10% of your time;

• [BONUS] Mentoring skills & a predisposition to knowledge-sharing - are things that excite you. We consider ourselves a learning organization and believe these are meaningful tools for one to compound his/her impact across the team. Thus, technical mentoring and/or people management hands-on experience is a big plus.

Tech stack

• Solid software engineering foundations (git, clean code principles, OO programming, etc.);

• Strong Python knowledge of the most common DS libraries;

• Understanding Large Language Models (LLMs) and familiarity with their frameworks/libraries;

• Advanced knowledge in cloud technologies, preferably in Azure or AWS;

• Proficiency in any deep learning framework;

• Good knowledge of data visualization tools/libraries;

• [BONUS] Experience with distributed computing, preferably Spark;

• [BONUS] Experience with MLOps;

• [BONUS] Experience with Databricks.

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 also get dedicated time for learning during work hours and access to our internal library;

• Flexible PTO Days: We’re flexible with how many days you take off if that does not conflict with customer success and the work getting done! Additionally, we offer 30 calendar days of paternity leave, and it is up to you how many days you spend in the office. However, as a senior who sometimes needs to mentor others, we’d expect you to spend at least some face-to-face time with your team or mentees weekly;

• Top-notch working equipment - working comfortably means working well, therefore you will get a MacBook Pro, a Herman Miller office chair, standing desks in the office, and whatever else is needed to give your best;

• Private Medical Insurance - we provide a generous private medical package via Generali;

• 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;

• A cozy office in the heart of Budapest (close to Oktogon), well-stocked with snacks, drinks, coffee, and beverages. Optional Friday evening beers, movie, and wine-tasting nights with the team are on us also.

For this role, our gross salary ranges from 1,000,000 to 1,500,000 HUF/month (for a Medior) and 1,500,000 to 2,000,000 HUF/month (for a Senior).

@DATAPAO we are delivery partners and the preferred training provider for Databricks, the creators of Apache Spark. Additionally, we are Microsoft Gold 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.

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 single 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.

And when we hear back from you we'd like for you to know that we are committed to your privacy and to keeping your data safe with us. 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 like letting you know about new career opportunities at DATAPAO and/or managing your application.

If you want to find out more, you can always follow us on LinkedIn for all the good stuff or just hit our recruitment team at [email protected]