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Senior Data Scientist

Budapest

At 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. But don't just take our word for it. 

We are currently looking for a well-versed Senior Data Scientist to join the team and work with 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.

Internal Solution Development

Besides customer projects you will 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 take part in developing Data Science & Machine Learning courseware (for our Education business), to be delivered to the customers or to internal teams. You could also add value by providing technical (pre-sales) support for our Sales Team or by creating content to be used in 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 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 normally within a short business trip setup) up to 10% of your time;

  • [BONUS POINT] 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. 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 and of the most common DS libraries

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

  • Proficiency in any deep learning framework

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

  • Good knowledge of data visualization tools/libraries

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

  • [BONUS POINT] Experience with MLOps

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 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.

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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