Data Scientist, Finance Data & Insights – Premium Revenue, Royalties, Legal
Spotify
BigQueryPythonSQLTableau
Senior Data Scientist / AI Engineer
SoHo Dragon
contract
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudPandasPythonPyTorchScikit-LearnSparkTensorflow
About the role
- Responsible for the design and development of advanced generative, recommender and predictive models that will generate value creation
- Ensure the performance and accuracy of solutions, staying abreast of the latest AI research and methodologies (particularly in the domains of natural language processing, predictive analytics and information retrieval)
- Lead the design, development, validation, and deployment of innovative, performant and scalable AI engines, applying rigorous testing to ensure alignment with business objectives
- Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance
- Apply A/B testing framework to test models' quality and integrate data insights into the business processes
- Coordinate with different functional teams to implement models, design processes and tools to monitor and analyze model performance and data quality
- Drive the AI methodology R&D agenda to ensure CLIENT continues to offer added value by best-in-class AI approaches in fast-moving landscape
Requirements
- MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics or Mathematics or related technical discipline
- 5+ years of deep applied expertise at developing and deploying complex AI/ML solutions preferably in a financial services context
- Strong and deep knowledge of a broad set of AI methodologies: Generative AI & Agentic AI, deep learning, natural language processing, supervised learning (classification, regression), reinforcement learning
- Proficiency in Python is required together with multiple popular advanced analytics frameworks e.g. pandas, spark, scikit-learn, langchain, langchain, llamaindex, tensorflow, pytorch
- Experience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plus
- Strong applied understanding of MLOps / LLMOps best practice
- Experience to merge and transform disparate internal & external data sets together to create inputs for AI
- Openness to working in Agile environments with multiple stakeholders
- Strong communication and collaboration skills to understand business partner needs and deliver solutions
- Professional attitude and service orientation; team player
- Quick learner to business needs and translate them into potential analytics solutions
- Strong analytical and problem-solving skills; healthy skepticism around validity of data and its biases
- Good verbal and written communication skills
- Exemplary organizational skills with attention to detail & accuracy
- Ability to coach, mentor, and collaborate with business partners, analysts, and team members
- Attitude to thrive in a fast-paced environment, Open minded to new approaches of learning
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
generative AIrecommender modelspredictive modelsnatural language processingpredictive analyticsdeep learningsupervised learningreinforcement learningPythonA/B testing
Soft skills
communication skillscollaboration skillsanalytical skillsproblem-solving skillsorganizational skillsattention to detailteam playerquick learnerservice orientationmentoring
Certifications
MS in Computer SciencePhD in Computer ScienceMS in Computer ApplicationsMS in EconomicsMS in StatisticsMS in Mathematics
