Hearsay, a Yext company
Budapest, Köztelek utca 6/1
1.2M – 1.8M HUF alkalmazotti havi bruttó
Elvárások
- AI
- Machine Learning
- Social media
- Use cases
- NLP
- Data science
- Python
- NumPy
- pandas
- scikit-learn
- SQL
- Data modeling
- Cloud
- AWS
- GCP
- Azure
- Magyar
- Angol
A mi követelményeink
Eredeti szöveg. Fordítás megjelenítése
What You Have
- Proven experience developing supervised and unsupervised ML models.
- Experience with generative models, including RAG, prompt engineering, instruction tuning, etc., and evaluating outputs for bias, safety, and relevance.
- Proficient in Python (NumPy, Pandas, scikit-learn, etc.) and SQL, with a solid understanding of data modeling and warehousing concepts.
- Hands-on experience working in cloud environments (AWS, GCP, or Azure).
- Strong analytical, statistical, and problem-solving skills.
- Minimum of 3 years’ experience in data science, data analytics, or related roles.
- Passion for social media data and digital behavior analysis.
- Excellent communication and collaboration skills.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Pozíció / projekt rövid leírása
Eredeti szöveg. Fordítás megjelenítése
As a Data Scientist, you will primarily work with social media datasets to conduct exploratory data analysis and identify connections between social media activity and AI-driven search rankings. You will develop algorithms to boost social media performance and optimize strategies for better AI search visibility. You should be experienced in both supervised and unsupervised machine learning techniques, comfortable working with large language models, and capable of clearly presenting insights to technical and non-technical stakeholders.
This is a hybrid position, offering the flexibility of remote telework with the requirement to be on-site at least one day per week on average. Occasional adjustments may be made based on team needs or project demands.
Napi feladatok
Eredeti szöveg. Fordítás megjelenítése
- Lead or contribute to strategic, high-impact machine learning and data science projects that drive product improvements and support informed business decisions.
- Develop, validate, and continuously improve ML models using structured and unstructured data.
- Identify, clean, and prepare relevant datasets while ensuring data quality and integrity.
- Collaborate closely with Product, Engineering, and business stakeholders to define data requirements and translate insights into actionable outcomes.
- Apply large language models (e.g., GPT, LLaMA) for specific use cases, using techniques such as RAG or instruction tuning.
- Stay current with advancements in ML, generative AI, and NLP, applying emerging methods when appropriate.
- Help promote and eventually act as an advocate for data-driven decision making. Foster a healthy data culture by mentoring colleagues and running knowledge-sharing sessions.
- Promote the importance of data science within the organization.
- Contribute to enhancements of the data stack and support agile delivery processes.
mutass kevesebbet
Specifikációk
- Online állásinterjú
- Toborzás nyelvei: magyar&angol
- Azonnali kezdés
- Rugalmas távmunka
- Rugalmas munkaidő
A toborzási folyamat lépései
- Recruiter interview
- Technical interview
- Hiring Manager interview
- Presentation round
Biztosított eszközök
- Apple
- Számítógép: Notebook
- Monitorok: Egy
Irodán belüli juttatások
- Ingyenes reggeli, ebéd, snackek, kávé és italok
- Sör munkaidő után
- Belső képzések
- Kerékpártároló
- Nincs dress code
- Modern iroda
Extrák
- Magánegészségügyi ellátás
- Extra szabadnapok
- Életbiztosítás
- Mobil előfizetés költségtérítése
- Képzési költségvetés
- Nemzetközi projektek
- Lapos szervezet
- Kis létszámú csapat
