Specialist - Data Science Engineer

Applies and integrates statistical, mathematical, predictive modelling and business analysis skills to manage and manipulate high volume data from a variety of sources and able to identify business opportunities from the insights and predictions that result from that analysis. Collates, models, interprets and analyses data, explains variances and trends and recommends business opportunities from that analysis. Works on and off the cloud.

• Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources and to identify business growth opportunities for Nasdaq and their clients.
• Generates algorithms and creates computer models; builds web prototypes and performs data visualization.
• Leads data validation work on the various hypothesis and prediction modelling activities of the team; working across the team.
• Strategizes new uses for data and its interaction with data design.
• Conducts scalable data research and collaborates with Lead engineers and other scientists, discovering the trends/stories and how that translates into business opportunity. 
• Collaborates with Data Engineers to develop experiments and hypothesis.  Leads statistical and mathematical predictive modelling to test hypothesis.
• Works closely with business/product sponsors to understand the business needs and ensures hypothesis, predictive modelling and data validation is in line with business opportunity.
• Stays current on technological and analytical trends. Trains the data scientist team on new or updated technologies and updated procedures.
• Writes white papers for peer review
• Additionally:
• Perform the data science and machine learning activities across the Workflow and Insights Org
• Design and develop advanced AI/ML models and algorithms for complex business problems
• Define and implement ML strategy aligned with business objectives
• Lead and mentor a team of data scientists and ML engineers
• Drive innovation in AI/ML methodologies and techniques
• Establish model development, validation, and deployment standards
• Oversee model performance monitoring and optimization
• Develop frameworks for A/B testing and experimentation

• 8+ years of experience in data science/ML, with 5+ years leading teams
• PhD/Master's in Computer Science, Statistics, or related quantitative field
• Expert knowledge in machine learning algorithms and statistical modeling
• Proficiency in programming languages such as Python, R, SQL, and related ML frameworks like TensorFlow, PyTorch, and Scikit-learn
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
• Extensive experience with deep learning architectures
• Proven track record of deploying ML models to production
• Strong background in experimental design and causal inference
• Experience with large-scale data processing and distributed computing

Excellence in scientific writing and technical communication
 

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.