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hackajob · 14 hours ago

Data Scientist Vice President-Consumer & Business Intelligence

New York, NY

Full-time

Onsite

Senior Level

$142K/yr - $210K/yr

5+ years exp

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Data Scientist in the Consumer & Business Intelligence team, you will drive the analytics workflow and development by deploying cutting edge approaches to data wrangling, analysis, and visualization of macroeconomic and financial data.

Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware

No H1B

Responsibilities

Plan and lead complex analytics projects from inception to delivery in partnership with other data scientists, economists, product owners, and strategists on the team

Work with large, complex, and often unstructured datasets, transforming them into formats that enable meaningful analysis

Design and implement statistical, machine learning, and generative AI–driven solutions to uncover patterns, test hypotheses, and generate forecasts

Recognize and communicate meaningful trends/patterns in data as it relates to consumer and business health using solid data support

Collaborate and explore emerging trends in income, spend, savings and credit with Economists, Econometricians and Data Scientists

Utilize advanced analytical and econometric techniques to uncover detailed explanations of broader economic trends

Identify and validate data sources and quality

Contribute to the critical thinking and thrive in a fast-paced, competitive environment that prides itself on attention to detail and results

Develop and present insights clearly through reports, visualizations, and presentations tailored to both technical and non-technical senior executive audiences

Stay engaged with emerging trends in alternative data, statistics, ML, and GenAI applications to continually enhance research capabilities

Qualification

PythonSQLMachine LearningEconometric ModelingData VisualizationStatistical AnalysisGenerative AIData WranglingCommunication SkillsOrganizational SkillsAdaptability

Required

Master's degree in a quantitative discipline with 5+ years of relevant professional experience, or a PhD in a related field and 3+ years relevant experience

Experience working with large, complex, and often unstructured datasets in applied research or real-world business contexts

Strong programming skills in Python, SQL, Spark, and/or R. AWS, Snowflake, and/or databricks knowledge desirable

Deep knowledge of statistics and data mining

Expertise leveraging econometric modeling tools and techniques is highly desired

Ability to design and deliver analytical solutions with clear commercial impact, from methodology selection through implementation, validation, monitoring and refinement

Exceptional communication abilities and capable of translating complex quantitative findings for both technical and non-technical executive audiences

Organizational skills and adaptability, with the ability to manage multiple projects in a fast-paced environment and work independently while engaging colleagues and managers for alignment and feedback