Mid-level Data Scientist

As a Mid-level Data Scientist within the Core AI Development team, you'll play a role in developing innovative Machine Learning solutions, and helping build the future of our products, services, and client experiences!

You'll thrive in this role if you're curious and ambitious professional who enjoys solving sophisticated problems, exploring new technologies, and translating data into business impact. You'll work closely with cross-functional teams to deliver solutions that drive smarter decisions and measurable results.

• Design, develop, and implement machine learning and AI solutions that create measurable value across the organization.
• Transform complex data into actionable insights and recommendations for both technical and non-technical audience.
• Partner with business and technology teams to understand challenges, find opportunities, and deliver data-driven solutions.
• Communicate project progress, key findings, and business impact to partners at various levels of the organization.

This position is located in Vilnius, Lithuania and offers the opportunity for a hybrid work environment with at least 3 days per week in-office.

Note: The candidate is encouraged to moderately align their schedule with US East Coast working hours (10 AM – 7 PM EET/EEST).

• Bachelor's degree or equivalent experience in Computer Science, Mathematics, Physics, Engineering, Statistics, Data Science, or a related quantitative field.
• 2-4 years of professional Data Scientist or Machine Learning Engineer experience.
• Strong understanding of Statistics, Machine Learning, and Deep Learning concepts, including hypothesis testing, regression, classification, optimization, and neural network architectures.
• Proficiency in Python and SQL, with experience working with large datasets and relational databases.
• Strong verbal and written English communication skills, with the ability to explain sophisticated concepts and collaborate optimally across cross-functional teams.

Nice to have

• Experience working in financial services, Fintech, capital markets, or another data-driven and highly regulated industry.
• Hands-on experience building applications, solutions, or workflows using Generative AI.
• Practical experience developing, deploying, monitoring, and optimizing machine learning or deep learning models in production environments.

• Employee Stock Purchase Plan with discounted company shares
• Pension plan with Nasdaq contribution
• 6 additional days off per year
• Work from (almost) anywhere - up to 20 days per year
• Paid time off to volunteer
• Health insurance
• Free gym, yoga, and pilates classes, plus discounted in-office massages
• 24/7 mental health support for you and your family
• Global mentoring program
• Unlimited access to e-learning platforms
• Modern, comfortable office environment with fresh fruit, snacks, and weekly Fika breaks