Data Scientist (Database Development)

4 Months ago • 2-4 Years • Data Analyst

Job Summary

Job Description

Nasdaq seeks a Data Scientist with 2-4 years of experience in database development, proficient in SQL and Python for data manipulation and transformation, skilled in AI technologies, and familiar with cloud platforms like AWS and Databricks.
Must have:
  • Database Development
  • SQL & Python
  • AI Technologies
  • Cloud Platforms
Good to have:
  • Terraform
  • AI/ML Ops
  • AWS Technologies
  • Relevant Certifications
Perks:
  • Annual Bonus
  • Stock Options

Job Details

Nasdaq Bangalore is looking for a passionate Data Scientist (Database Development), to join the Bangalore technology center in India. If Innovation and effectiveness drive you forward this is the place for you!

Nasdaq is continuously revolutionizing markets and undergoing transformations while we adopt new technologies to develop innovative solutions, constantly aiming to rewrite tomorrow.

With this position we offer :

You will be primarily responsible for design, develop, modifies, adapts and implements solutions to information technology needs through new and existing applications, systems architecture, systems strategy, integration services and applications infrastructure to meet client requirements.

You will reviews system requirements and business processes. Codes, tests, debugs and implements software solutions. May support systems infrastructure, desktop or network architects by preparing detailed specifications. Establishes technology product specifications, and collaborates with various functions to ensure successful product development and implementation.

Your role and responsibilities:

As a Data Scientist, you will play a crucial role in designing, building, and maintaining data pipelines within the Databricks Lakehouse Platform. Your expertise will contribute to the success of data-driven initiatives, enabling efficient data processing, analysis, and reporting.

Furthermore, you will: 

  • Utilize the Databricks Lakehouse Platform to perform data engineering tasks. Apply machine learning to consolidated business data to produce predictive models.
  • Implement new AI technologies as services to meet business requirements.
  • Responsible for fine-tuning existing machine learning models to improve performance and adapt them to specific use cases.
  • Skilled in crafting effective prompts and designing features to enhance model capabilities.
  • Leverage external data sources to augment ML/AI results.
  • Enrich business data to produce new data sets with external data or ML/AI inferences.
  • Provides technical support in a defined project under direct supervision.
  • Develops program logic for new applications or analyses and modifies logic in existing applications, often learning on the job from more senior colleagues as size of the challenge increases.
  • Modifies existing internal software products to add new functions, adapt to new hardware, improve performance or enhance product usability under direct supervision.
  • Implements and monitors basic system improvements to increase efficiency.
  • Under supervision, supports applications to be compatible across multiple computing platforms and browsers.

We expect you to have

  • At least 2-4 years of Database development experience.
  • Proficiency in SQL and Python for Data Manipulation and transformation.
  • Knowledge of AI technologies such as LLM/ML/FM etc.
  • Must have worked on cloud computing platforms like AWS.
  • Familiarity with AI/ML Ops in Databricks including MosaicML.
  • Should understand AWS technologies such as Bedrock, SageMaker and Lambda.
  • Education Qualification: Bachelor/Master degree in relevant field or equivalent qualification.

It would be great if you :

  • Knowledge on Terraform.
  • Any certification in relevant field.

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).
  • 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.

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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About The Company

At Nasdaq, our purpose is to advance economic progress for all. We power stronger economies, create more equitable opportunities, and contribute to a more sustainable world to help our communities, clients, employees, and people of all backgrounds reach their full potential.


Meet the #NasdaqFam and learn about our purpose, culture and careers here: https://www.nasdaq.com/about/careers



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