Senior Data Scientist (AI/ML Researcher)
Nasdaq
- Vilnius
- Pastovus
- Pilnas etatas
- Identify AI/ML-based opportunities, evaluate proposals, and use cases, and collaborate with cross-functional teams (product, market data, technology, etc.) to design, develop, and implement AI/ML solutions.
- Take end-to-end ownership of research projects including defining the project scope, building data pipelines, training, testing, and validating machine and deep learning models, visualizing, and presenting output, as well as working with relevant technology teams to industrialize the models.
- Contribute to improvements in the research data environment and to the development of core analytical capabilities and model libraries.
- Create clear, concise, and organized communication materials (e.g., reports, presentations, procedures, and technical documentation) for consumption by audiences with different levels of subject-matter expertise.
- Act as the subject-matter expert on all things AI/ML, establish and manage relationships with key customers.
- Independently work with and supervise students and interns on specific projects.
- Stay updated on new developments within relevant AI/ML fields such as large language models.
- Advanced degree in a quantitative field such as Mathematics, Statistics, Computer Science, Financial Engineering, or equivalent work experience.
- Several years of work experience in employing econometric, machine learning and/or deep learning tools to develop artificial intelligence models for deployment in a production environment.
- Strong programming skills in Python, R, or similar, working with specialized statistical tools and large data sets. Strong skills in SQL (MS, PostgreSQL, Redshift)
- Experience applying sound scientific practices, formulating and testing hypotheses, backtesting, and verifying the accuracy, and predictive ability of models.
- Experience in transforming prototype models into production-resilient application frameworks.
- Experience in establishing data framework and data governance infrastructure for modeling.
- Proficient English language skills.
- Previous background in a similar role in the finance industry, preferably in a trading environment
- Deep expertise in modern AI/ML models and their application to use cases in quantitative finance and related areas.
- Experience with cloud services (AWS, Redshift)
- Experience working in a governed development environment, having version control, doing code review, producing technical documentation, etc.
- Monthly base salary starting from €3500 to €4500 gross based on experience. We are open to discussing a different salary based on your skills and competencies.
- Annual monetary bonus
- Vesting Nasdaq Restricted Stock Units (RSU) for all employees
- Employee Stock Purchase Program Nasdaq stocks with a discount
- III pillar pension plan with additional contribution from Nasdaq
- Flexible health Insurance program
- Additional paid leave days after 2 years of working at Nasdaq.
- Flex day program (6 days a year)
- Internal mentorship program – get a mentor or become one.
- Opportunities to grow horizontally or vertically in the organization.
- Wide selection of online learning resources, e.g. Udemy, O ‘Reilly