Data Scientist Graduate

ADTM Adenza Technology De Mexico S De RL De CV

Job Location:

Boston, NH - USA

Monthly Salary: $ 84000 - 147000

Posted on: 15 hours ago

Vacancies: 1 Vacancy

Job Summary

Data Scientist

At Nasdaq youll have the chance to start your career in an environment where learning teamwork and innovation come this role youll support our data science team and gain hands-on experience working with complex datasets that power global financial markets.

You dont need to know everything on day one well help you build the skills confidence and network to grow your career.

What you will do:

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.

What we expect:

1-3 years of experience working as a Data Scientist ML/AI Engineer or in a similar role
Advanced degree in Computer Science Mathematics Physics Engineering Statistics or another technical field.
Understanding of the fundamentals of Statistics & Machine Learning (hypothesis testing p-values confidence intervals regression classification optimization).
Demonstrated experience with deep learning (CNNs RNNs transformers and other types of Deep Neural Networks) and working knowledge of one of the main deep learning libraries (PyTorch Tensorflow Jax)
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.

Nice to have:

Work experience in a corporate environment or finance/fintech industry
Demonstrated interest in finance and/or market microstructure
Industry experience with Deep Learning models and methods (Deep Learning Life cycle from Problem Definition to Model Evaluation and Monitoring)

This position will be located in Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office subject to change providing flexibility and accessibility for qualified candidates.

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.

What We Offer

Were proud to offer a competitive rewards package that is meaningful recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaqs overall success.

The base pay range for this role is $84000 - $147000. In addition to base salary Nasdaq provides a generous annual bonus/commission (short-term incentive) and equity (long-term incentive) comprehensive benefits and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate including but not limited to: skill set experience education/training business needs and market demands.

Nasdaqs programs and rewards are intended to allow our employees to:

Secure Wealth: 401(k) program with 6% employer match Employee Stock Purchase Program with 15% discount Student loan repayment program up to $10k Company paid life and disability plans Generous paid time off
Prioritize Health: Comprehensive medical dental and vision coverage Health spending account with employer contribution Paid flex days to support mental wellbeing Gym membership discounts
Care for Family: Hybrid home/office schedule (for most positions) Paid parental leave Fertility benefits Paid bereavement leave
Connect with Community: Company gift matching program Employee resource groups Paid volunteer days
Grow Career: Education Assistance Program Robust job skills training and Professional development opportunities

For more information visit Nasdaq Benefits & Rewards Career page.

Required Experience:

Data ScientistAt Nasdaq youll have the chance to start your career in an environment where learning teamwork and innovation come this role youll support our data science team and gain hands-on experience working with complex datasets that power global financial markets.You dont need to know everyth...

Data Scientist

You dont need to know everything on day one well help you build the skills confidence and network to grow your career.

What you will do:

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.

What we expect:

1-3 years of experience working as a Data Scientist ML/AI Engineer or in a similar role
Advanced degree in Computer Science Mathematics Physics Engineering Statistics or another technical field.
Understanding of the fundamentals of Statistics & Machine Learning (hypothesis testing p-values confidence intervals regression classification optimization).
Demonstrated experience with deep learning (CNNs RNNs transformers and other types of Deep Neural Networks) and working knowledge of one of the main deep learning libraries (PyTorch Tensorflow Jax)
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.

Nice to have:

Work experience in a corporate environment or finance/fintech industry
Demonstrated interest in finance and/or market microstructure
Industry experience with Deep Learning models and methods (Deep Learning Life cycle from Problem Definition to Model Evaluation and Monitoring)

Come as You Are

What We Offer

Nasdaqs programs and rewards are intended to allow our employees to:

Secure Wealth: 401(k) program with 6% employer match Employee Stock Purchase Program with 15% discount Student loan repayment program up to $10k Company paid life and disability plans Generous paid time off
Prioritize Health: Comprehensive medical dental and vision coverage Health spending account with employer contribution Paid flex days to support mental wellbeing Gym membership discounts
Care for Family: Hybrid home/office schedule (for most positions) Paid parental leave Fertility benefits Paid bereavement leave
Connect with Community: Company gift matching program Employee resource groups Paid volunteer days
Grow Career: Education Assistance Program Robust job skills training and Professional development opportunities

For more information visit Nasdaq Benefits & Rewards Career page.

Required Experience:

Apply Now

About Company

ADTM Adenza Technology De Mexico S De RL De CV

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