Staff Data Scientist

vor 2 Monaten

Berlin, Deutschland Lokalise Vollzeit

**Who are we**

Founded in 2017, Lokalise is a cloud-based translation management system that helps businesses streamline their localization processes. It provides a platform for managing translations of software, websites, mobile apps, and other digital content. Overall, Lokalise helps businesses improve their time-to-market, increase translation quality, and reduce costs associated with localization.

**Staff Data Scientist - NLP**:
**We need you**

We are currently seeking a talented **Staff** **Data Scientist** to become a part of our **Data team**. In this role, you will be responsible for understanding requirements, creating prototypes, building models, conducting experiments, and driving innovative solutions. Your expertise in machine learning, deep learning, and NLP, combined with your enthusiasm for learning and personal growth, will be invaluable in advancing the Lokalise product line.

**As a Staff **Data Scientist**, you will**:

- Develop NLP models that enhance machine translation accuracy on the Lokalise platform.
- Work together with our product, engineering, and data teams to incorporate these models into our products and continuously improve them to provide the best possible experience for our users.
- Your efforts will have a direct positive effect on our customers, as they will benefit from improved automation, integration, and translation management tools.

**You must have**:

- 5+ years of Data Science experience with at least 2 years of experience working with NLP models.
- Familiarity with NLP and a fundamental understanding of using LLM and NLP libraries. Proficiency in operating within Hugging Face ecosystem and leveraging existing foundational models such as LLaMA 2.
- Experience utilizing various machine learning techniques and methods to address problems. Possess a solid understanding of model evaluation, which includes developing and selecting appropriate metrics.
- Understanding of how to structure machine learning pipelines. Familiarity with data preprocessing techniques and tools. Experience with data warehouse technologies (like Snowflake), SQL, and Python data processing libraries (e.g., Pandas, NumPy).
- Strong analytical thinking and problem-solving abilities to contribute to data analysis and experimental evaluations. Attention to detail and an eagerness to learn from experimental results.
- Good communication skills to collaborate effectively with cross-functional teams.
- Strong ownership with responsibility for your projects, anticipating issues, and proactively working to resolve them.
- Working on ML models with machine translation use cases is a plus.

**Location**:
Even though our company operates exclusively on a remote basis, you are required to reside in and have legal work eligibility within one of the specified countries.: Bulgaria, Canada, Czech Republic, Estonia, Germany, Greece, Hungary, India, Ireland, Israel, Italy, Latvia, Lithuania, Netherlands, Poland, Portugal, Romania, Serbia, Slovakia, Spain, Ukraine, United Kingdom, and United States.

**What we can offer you**:

- Competitive salary and employee stock options plan
- Flexible working hours - work asynchronously.
- Unlimited vacation policy - yep, unlimited
- Wellness benefits
- Comprehensive parental leave
- Co-working budget
- Top tech equipment to work with - Apple Mac, Bose headphones, Apple AirPods, etc.
- Great startup atmosphere, team spirit, and team events
- Mental health support - every employee has access to a dedicated mental health platform.

LI-remote #LI-DS1

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