Data Scientist

As a Data Scientist reporting to Director - Data Scientist, you'll play a critical role in driving product strategy, enhancing client experiences, and enabling global growth. You'll thrive in this position if you're data-driven, have a global mindset, and bring passion for technology to a fast-paced, high-impact environment. Key responsibilities include designing AI/ML solutions, communicating project progress, presenting insights to non-technical partners, and engaging with stakeholders to understand business objectives.

Must Have

• Design, research & architect AI/ML solutions across the enterprise.
• Establish and maintain clear lines of communication, providing regular updates.
• Present findings and insights to non-technical partners.
• Engage with key stakeholders to understand business objectives.
• 2-4 years of experience as a Data Scientist, ML/AI Engineer or similar.
• Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or technical field.
• Good understanding of Statistics & Machine Learning fundamentals.
• Fundamentals of Deep Learning (CNNs, RNNs, transformers, Deep Neural Networks).
• Fluency in Python and SQL.
• Excellent verbal and written English skills.

Good to Have

• Work experience in a corporate environment or finance/fintech industry.
• Experience with GenAI (LLMs, RAG workflows, AI Agents, LangChain, LlamaIndex, OpenAI SDK or similar).
• Industry experience with Deep Learning models and methods (Deep Learning Life cycle).

Perks & Benefits

• Competitive base salary.
• Annual bonus.
• Annual equity grant.
• Employee Stock Purchase Plan offering discounted company shares.
• Pension plan with Nasdaq contribution.
• 6 additional days off per year.
• Extra vacation time based on tenure.
• Work from (almost) anywhere – up to 20 days/year.
• Paid time off to volunteer.
• Health insurance.
• Free gym, yoga & pilates classes and discounted in-office massages.
• 24/7 mental health support for you and your family.
• Global mentoring program.
• Unlimited access to e-learning platforms.
• Hybrid work setup.
• Modern and comfortable work environment with fresh fruit, snacks, and weekly fika breaks.

As a Data Scientist reporting to Director - Data Scientist, you'll play a critical role in driving product strategy, enhancing client experiences, and enabling global growth.

You'll thrive in this position if you're data-driven, have a global mindset, and bring passion for technology to a fast-paced, high-impact environment.

Key Responsibilities

• Design, research & architect AI/ML solutions across the enterprise.
• Establish and maintain clear lines of communication, providing regular updates on project progress, insights, and potential impact on key performance indicators.
• Present findings and insights to non-technical partners in a clear and understandable manner, encouraging a collaborative environment for informed decision-making.
• Engage with key stakeholders to understand their business objectives and communicate the value proposition of data science initiatives.

Required Qualifications

• 2-4 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role.
• Bachelor’s degree or equivalent experience in Computer Science, Mathematics, Physics, Engineering, Statistics, or another technical field.
• Good understanding of the fundamentals of Statistics & Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, optimization).
• Fundamentals of Deep Learning (CNNs, RNNs, transformers and other types of Deep Neural Networks).
• Fluency in Python and SQL or other similar relational database management systems.
• Excellent verbal and written English skills to guide cross-functional teams on complex data-driven projects.

Preferred Qualifications

• Work experience in a corporate environment or finance/fintech industry.
• Experience with GenAI (LLMs, RAG workflows, AI Agents, LangChain, LlamaIndex, OpenAI SDK or similar GenAI tools).
• Industry experience with Deep Learning models and methods (Deep Learning Life cycle – from Problem Definition to Model Evaluation and Monitoring).

This position is located in Vilnius, Lithuania and offers the opportunity for hybrid work environment at least3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

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

Benefits and Rewards

We offer a competitive, well-rounded rewards package that supports you and your family - inside and outside work.

The base pay range for this role is 3500 – 4200 Eur Gross. Actual pay depends on your skills, experience, education, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable, as well as the following benefits:

• Competitive base salary.
• Annual bonus.
• Annual equity grant.
• Employee Stock Purchase Plan offering discounted company shares.
• Pension plan with Nasdaq contribution.
• 6 additional days off per year.
• Extra vacation time based on tenure.
• Work from (almost) anywhere – up to 20 days/year.
• Paid time off to volunteer.
• Health insurance.
• Free gym, yoga & pilates classes and discounted in-office massages.
• 24/7 mental health support for you and your family.
• Global mentoring program.
• Unlimited access to e-learning platforms.
• Hybrid work setup.
• Modern and comfortable work environment with fresh fruit, snacks, and weekly fika breaks.

For more information, visit Nasdaq Benefits & Rewards Career Page.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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