Lead Data Scientist

Your role and responsibilities:

We are seeking an experienced Lead Data Engineer to develop machine learning projects from inception to deployment. The ideal candidate will bridge technical and business objectives while leading multi-functional teams to deliver high-impact ML solutions. 

Equal opportunity to lead and architect end-to-end data pipeline solutions for AI/ML projects

We Design and implement scalable data infrastructure to support machine learning operations

Oversee data quality, governance, and security protocols across platforms

We lead and mentor a team of data engineers and analysts

Collaborate with ML engineers and data scientists to optimize data delivery

Establish best practices, coding standards, and development methodologies

Drive technical decision-making for data architecture and infrastructure

We build and maintain documentation for data systems and processes

Furthermore, you will: 

Partner with business stakeholders to understand requirements and deliver solutions

Evaluate and implement new technologies to enhance data capabilities

Lead technical discussions and present solutions to senior management

Optimize data storage and processing costs

Conduct code reviews and ensure quality standards

Solve production issues and implement improvements

Develop strategies for data migration and integration

We expect you to have 


• 12+ years of experience in data engineering, with 5+ years in leadership roles
• Experienced knowledge of SQL, Python, and data modeling
• Strong experience with cloud platforms (AWS/Azure/GCP)
• Extensive experience with Big data technologies (Spark, Hadoop ecosystem)

Consistent track record of building and maintaining data pipelines and data warehousing solutions (e.g., Redshift, BigQuery)

Experience with CI/CD practices and tools!

Strong background in data governance and security!

Education Qualification: Bachelor/Master in computer science.

It would be great if you

• Have experience with MLOps and ML pipeline optimization
• Have experience in regulated industries (Finance, Healthcare)
• Have contributed to open-source projects
• Have experience with real-time streaming technologies
• Are familiar with graph databases and processing
• Have experience with AI/ML tools and frameworks like TensorFlow or PyTorch

Does it sound like you? What happens now? 

As the selection process is ongoing, please submit your application in English as soon as possible. We will get back to you in 2-3 weeks.

What will it be like working here?   

Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported and empowered. We are a Hybrid-first environment that embraces work-life balance and fosters well-being.  

What do we offer you?   

• Annual monetary bonus.
• An opportunity to become a Nasdaq shareholder  
• Employee Stock Purchase Program Nasdaq stocks with a discount  
• Health Insurance Program
• Flexible working schedule and hybrid way of work  
• Flex day program (up to 6 paid days off a year) in addition to standard vacations and holidays  
• Internal mentorship program – get a mentor or become one  
• Wide selection of online learning resources, e.g., Udemy  

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.

Nasdaq is a leading global provider of trading, clearing, exchange technology, listing, information, and public company services. As the creator of the world's first electronic stock market, its technology powers more than 100 marketplaces in 50 countries. Nasdaq is home to over 4,000 total listings with a market value of approximately $12 trillion.

To learn more, about our business visit business.nasdaq.com. Check out more about our Life at Nasdaq.

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.