ITE Management · 1 week ago

Data Scientist

New York, NY

Full-time

Hybrid

Entry, Mid Level

$135K/yr - $215K/yr

3+ years exp

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Financial Services

Insider Connection @ITE Management

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures.

Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues.

Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models

ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production.

Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements.

Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results.

Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis.

Qualification

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Data ScienceOptimizationStatistical TechniquesMachine LearningArtificial IntelligenceProgramming PythonProgramming RProgramming JuliaSQLMachine Learning LibrariesModel DeploymentData ModelingData WarehousingELT ProcessesCloud Platforms AzureCloud Platforms AWSCloud Platforms GCPBusiness IntelligenceData AnalyticsML Platforms SageMakerML Platforms VertexProblem-SolvingCommunicationPresentationMonte Carlo SimulationVARDomain ExpertiseFinanceEconomicsReal Assets

Required

Bachelor's degree in relevant STEM field (e.g., Physics, Mathematics, Data Science, Computer Science); Master's degree preferred.

At least 3-7 years of experience in a data science role

Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models

Strong programming skills in Python (or R or Julia) and SQL

Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.)

Working knowledge bringing models to production

Experience with data modeling, data warehousing, and ELT processes

Excellent communication and presentation skills

Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) - and associated ML platforms (e.g., SageMaker, Vertex)