Nasdaq

Lead Data Scientist

Added 1 month ago

Seniority level:

Team lead

Skills:

Data Science , 5 yrs.
Problem Solving , 5 yrs.
Communication Skills , 5 yrs.

Languages:

English C1 - Advanced
Experience:
5 yrs. minimum in Information Technology & Services
Monthly salary (gross):
4000 - 5000 €
Contract type:
Full-time
Location:
Vilnius
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Job description

Lead Data Scientist

When you work at Nasdaq, youre working for more open and transparent markets so that more people can access opportunities. Connections can be made, jobs can be created, and communities can thrive. We want all our employees to have access to opportunity, too. That means planning for career growth, ensuring you have the tools you need, and promoting an inclusive culture where were all valued for our unique perspective. 


Here, you will work for a global tech leader committed to breaking down barriers to inclusive prosperity. We see technology as a means to free people up to work together more productively and effectively by centralizing data, analytics, and market intelligence. 


As a Lead Data Scientist at Nasdaq, you will play a pivotal role in shaping the future of our data science and analytics capabilities. You will join a specialized team of AI researchers pushing the boundaries of AI innovation towards enhancing market transparency, efficiency, and integrity. You will lead a team of skilled data scientists, collaborate with cross-functional teams, and drive the development of data-driven solutions to address complex challenges in the financial industry. The ideal candidate should possess a strong background in machine learning and statistical modeling, and a deep understanding of the financial industry. 


What you will do: 


  • Lead & architect hard-working AI 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 stakeholders in a clear and understandable manner, fostering 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. 
  • Offer guidance and mentorship to junior members of the data science team, fostering their professional growth and skill development, and ensuring the successful execution of projects. 
  • Collaborate with engineering teams to understand system architecture needs and constraints, actively contributing to the development of solutions that facilitate the seamless embedding of AI models within pre-existing systems. 
  • Note: The candidate is expected to moderately align their schedule with US East Coast working hours (10 AM to 7 PM EET) and work from the office at least two days per week. 


What we expect:  


  • Bachelors or masters degree in computer science, Math, Physics, Engineering, Statistics, or other technical field. Advanced degree and/or PhD preferred. 
  • Proven years of Data Science experience in complex, data-rich environments. Experience collaborating with cross-functional teams to align data science initiatives with overarching business goals and strategies. Ability to translate complex technical findings into actionable business insights and recommendations, and to communicate complex technical concepts and results to non-technical audiences. 
  • Deep understanding of statistics & Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, and optimization). Exposure to Natural Language Processing (NLP) and Generative AI technology is preferred. Experience in experimentation design or A/B testing is also desirable. 
  • Strong algorithmic problem-solving skills. Demonstrated ability to effectively use Git for version control, ensuring organized and collaborative development processes throughout the data science lifecycle. 
  • Proficiency with: Python; SQL or other similar relational database management systems; Big Data frameworks (e.g., Hadoop, Spark, Pig/Hive, etc); and cloud services providers (e.g., AWS, Azure, GCP). 
  • Familiarity with financial markets and the financial industry is highly valued. 
  • Excellent verbal and written English communication skills to guide cross-functional teams on complex data-driven projects.   


What we offer: 


  • Monthly base salary 4000-5000 EUR gross. Final offer will be based on your experienceand skills 
  • Annual monetary bonus 
  • An opportunity to become a Nasdaq shareholder 
  • Employee Stock Purchase Program Nasdaq stocks with a discount 
  • III pillar pension plan with additional contribution from Nasdaq 
  • Flexible health insurance program 
  • Flexible working schedule and hybrid way of work 
  • Additional paid leave days after 2 years of working at Nasdaq 
  • Flex day program (up to 6 paid days off a year) 
  • Internal mentorship program get a mentor or become one 
  • Wide selection of online learning resources, e.g., Udemy 

 

Here, were committed to building a more diverse and inclusive workforce. Not only is it our responsibility to do better, but we also need representative voices to power the fresh thinking that is vital for our business and our clients. 


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.

Nasdaq logo
Founded in 2014
Employees 422
Avg. monthly salary 3883.61 €
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About Nasdaq

Nasdaq is a leading provider of trading, clearing, exchange technology, listing, information and public company services across six continents. In 2008, through the merger with OMX Nasdaq acquired ownership of the Lithuania’s stock exchange Nasdaq Vilnius. As of 2012, Nasdaq is also running the Central Securities Depository of Lithuania, a financial market infrastructure. In Lithuania, Nasdaq drives and contributes to a number of NGO initiatives promoting transparency, sound corporate governance, business ethics and youth’s financial literacy. At the end of 2014, Nasdaq decided to leverage these assets by establishing a new Technology and Business

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