Senior Data Scientist, Smartling

• 5+ years of data science or computational linguistics experience
• Expertise in data analysis
• Proficiency in statistical methodologies
• Proficiency in Python
• Knowledge of data science techniques (sampling, feature engineering, modeling, etc)
• Knowledge of state-of-the-art NLP techniques
• Basic understanding of Notebooks and Terminals
• Curious. The desire to learn new techniques, technologies, and frameworks
• Creative/Innovative. Demonstrate inventiveness and the ability to find information or solutions needed for assignments
• Autonomous/Self-started. Work well and achieve results with little or no supervision
• Team Player. Willing to do PRs, give advice, and contribute to the team
• Problem Solver. Provide workable solutions or consult with secondary resources to devise solutions
• Adaptable. Maintain focus and a positive attitude amidst change or under pressure
• With a “can do attitude”. Able to roll up your sleeves and drive projects to their completion

Desirable

• Smartling is seeking a Senior Data Scientist, based out of Europe, to join our LanguageAI team. We are a small, tight-knit, dynamic group of engineers building and maintaining various smart systems that our customers rely on to maximize their value in using our platform
• In this role, you will be responsible for tasks like identifying metrics and points of data to track, preprocessing data via Python or other programming languages or platforms, building, and monitoring ML models for various automation tasks
• You’re a great match if you love to solve hard problems. You will work directly with the product, engineering, and Language Services departments to solve our customers' problems with data models and work in the natural language space with billions of data points
• Understanding current metrics and recommending additional data points
• Pre-processing data via Python or other programming languages
• Feature engineering and model construction
• Model training and validation via various Python libraries
• Evaluating ML models once deployed
• Training with the team to help with best practices and knowledge sharing
• Identify linguists' pain-points and considerations during the translation process
• Research novel industry and academia methodologies/approaches to improve the translation experience & improve translation quality at Smartling
• File patents together with the team for the research projects that proved successful
• Present findings internally and externally (for thought-leadership & PR-purposes)
• Collaborate with product/engineering team to build internal tooling for the end-to-end processes
• Advise other teams on the feasibility and practicality of AI/ML features to add to the Smartling platform