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Specialist - Data Science Engineer

Specialist - Data Science Engineer

Nasdaq

8 - 13 years

12 - 16 Lacs

bengaluru

Posted:3 days ago| Platform:

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Skills Required

python modeling scikit-learn scientific writing business analysis microsoft azure technical communication sql r data science gcp predictive modeling design statistical modeling machine learning algorithms aws programming ml communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

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/Masters 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

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Specialist - Data Science Engineer