Data Scientist

Bosnia and Herzegovina, North Macedonia, Slovenia, Romania, Hungary, Turkey, Croatia, Serbia

This job is hidden from public view (Internal use). Only people with the direct job's link can apply

Are you eager to be at the forefront of large-scale ML systems, blending technical prowess with safety considerations? Dive into a role that combines the mastery of cutting-edge ML technologies and the importance of user trust. As a Data Scientist, you'll be at the helm of constructing advanced systems while ensuring they're robust and aligned with our principles. 

Responsibilities 

  • Implementing statistical and machine learning methods that could be used to solve a given problem, then evaluating and presenting the results 

  • Data acquisition, exploration, cleaning, augmentation, and visualization 

  • Designing, conducting, and tracking experiments in different domains 

  • Analyzing and addressing the errors of applied machine learning models and algorithms 

  • Participating in solution productization, high-level design, and low-level implementation 

  • Driving technical quality of a solution and managing technical debt 

  • Ensuring that the solutions are well-documented and presentable to the stakeholders 

  • Participating in the technical investigation (Spike) and prototyping (PoC) 

  • Communicating and collaborating with engineering teams, product teams, and stakeholders in all project phases 


Required qualifications:

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience. 

  • Over 3 years in roles like data science, machine learning, software engineering. 

  • Fluent in Python, and adept with data analysis tools. 

  • Experience with machine learning frameworks such as Scikit-Learn, Tensorflow, or Pytorch. 

  • Possesses a broad understanding of the architecture and mechanics of language models. 

  • Worked with prompt engineering current LLMs, or NLP tasks. 

  • Proficient in:  statistical data analysis , supervised and unsupervised machine learning, transfer learning and ensemble learning, feature engineering, optimization techniques 

  • Experienced in working with structured and unstructured data, relational and non-relational databases  

  • Familiarity with algorithmic complexity, GPU/CPU utilization, and I/O bandwidth 

  • Creates pragmatic technical documentation with well-understood diagrams 

  • Able to explain technical points using business language and presentations


Strong candidate experience:

  • Proven expertise in crafting and scaling ML systems, with familiarity in tools like GPUs, Kubernetes, and PyTorch. 

  • Exposure to language modeling, especially with transformers 

  • Tackled challenges related to prompt engineering and adversarial inputs. 

  • Designed or been part of full-stack engineering projects, especially centered on internal tool creation. 

  • Specialized experience in NLP. 


Data Scientist

Job description

Data Scientist

Personal information