Design, research, and develop machine learning and AI solutions that drive measurable business outcomes across the enterprise.
Translate data insights into practical, decision-ready recommendations for both technical and non-technical collaborators.
Partner with key business collaborators to understand their objectives and communicate the value and impact of data science initiatives.
Provide regular updates on project progress, findings, and potential impact on key performance indicators.
Foster a collaborative, informed decision-making culture by presenting insights clearly and accessibly across teams.
Required Qualifications
Bachelor's degree or equivalent practical experience in Computer Science, Mathematics, Physics, Engineering, Statistics, or a related technical field.
2-4 years of experience as a Data Scientist, Machine Learning Engineer, or in a similar role.
Solid understanding of statistical, machine learning, and deep learning fundamentals, including hypothesis testing, regression, classification, optimization, and core neural network concepts and architectures.
Proficiency in Python and SQL or equivalent relational database technologies.
Excellent verbal and written English communication skills, with the ability to guide cross-functional teams on complex, data-driven projects.
Requirements
Experience in a corporate, finance, or fintech environment.
Hands-on experience with generative AI tools and large language model workflows.
Practical industry experience with end-to-end deep learning model development, from problem definition through evaluation and monitoring.
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, subject to change, providing flexibility and accessibility for qualified candidates.
Note: The candidate is encouraged to moderately align their schedule with US East Coast working hours (10 AM - 7 PM EET/EEST).
Benefits & Rewards
We offer a competitive, well-rounded rewards package designed to support the financial, physical, and emotional well-being of our employees and their families.
The base pay range for this role is 3800 - 4800 EUR gross monthly. Actual pay depends on your skills, experience, qualifications, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable.
Additional benefits include:
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
We apply a structured job architecture and career framework to ensure growth opportunities are transparent, fair, and accessible to all employees. The pay range reflects the full salary band for this job level, including room for progression over time.
For more information, visit Nasdaq Benefits & Rewards Career Page.
Individuals applying for or occupying this position must have no previous unspent convictions for criminal offences under the Criminal Code of the Republic of Lithuania, with the exception of offences solely related to minor road traffic violations.
Come as You Are
Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.
We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
Benefits
Health insuranceEquity / stock optionsPerformance bonus
Additional Information
As a Mid-Level Data Scientist reporting to the Director of Data Science, you'll play a meaningful role in crafting solutions, translating data into meaningful insights, and helping build the future of our products and client experiences.
You'll thrive in this role if you're curious, data driven, and curious about technology - someone who enjoys collaborating across teams and communicating sophisticated ideas in clear, compelling ways.
Nasdaq · Lithuania