Data Science Engineer

Are you a mover and a shaker, with a desire to drive the direction of technology innovation of the future?

Strategic Staffing Solutions client – privately owned US Company – EXADEL – is the leading software and technology provider, pioneering innovations in mobile platform development, mobile apps, and large-scale business applications. Exadel headquarters are in the heart the California’s Silicon Valley. Company’s development centers span from California to Eastern Europe. Company’s culture is like that of a startup, and technologists are the best.

Currently Exadel is expanding its team in Vilnius and is looking for:
Data Science Engineer

We are currently looking for Data Science Engineer to help our customer to provide human resources consulting services including retirement, health & benefits, human capital, surveys & products, communication, investments, outsourcing, and mergers & acquisitions.
Data Science Engineer will closely collaborate with the business teams to identify problems and design/develop machine learning based applications to solve them.

• Computer Science or Mathematics or Physics degree.
• At least 2 years of experience in Python.
• Experience solving large scale problems.
• Experience in machine learning frameworks and libraries.
• Supervised and Unsupervised learning.
• Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks.
• Familiar with classical statistics and time series analysis.
• Experience with databases.
• Experience in extracting, cleaning, preparing and modeling data.
• Excellent communication and analytical skills.
• Proficient with spoken/written English.

Nice to have:
• Experience with Apache Spark.
• Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization).
• R programming language.
• Kaggle account with high stats.

• Interesting projects. Possibility to agree on the project dedicated for you according to your competencies. Numerous choices of new projects.
• Rewarding salary.
• International colleagues.
• Flexible working schedule.
• Career growth.