ITE Management
ITE Management is an investment firm targeting industrial and transportation assets and companies, and related industries and services with a critical focus on investments that generate current cash$1. .$1
11 - 50
Senior Data Scientist
May 1
🔄 Hybrid – Manhattan
ITE Management
ITE Management is an investment firm targeting industrial and transportation assets and companies, and related industries and services with a critical focus on investments that generate current cash$1. .$1
11 - 50
Description
• Play a critical role in driving data-driven decision-making across investment strategies, portfolio management, and risk platform • Work closely with verticals, business intelligence analysts, data engineers, and stakeholders to design, develop and deploy data-driven solutions • Collaborate with risk team to develop and apply data-driven risk models • Collaborate with data engineers and engineers to design and implement data pipelines • Work with vertical teams and portfolio company users to identify and concisely describe issues • Stay up to date with emerging trends, technologies, and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis
Requirements
• Bachelor’s degree in relevant STEM field (e.g., Physics, Mathematics, Data Science, Computer Science); Master’s degree preferred • 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 • Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) – and associated ML platforms (e.g., SageMaker, Vertex)
Benefits
• Health Care Plan • Retirement Plan • Life Insurance • Paid Time Off • Family Leave • Short Term & Long Term Disability • Training & Development • Hybrid Workplace • Free Food & Snacks • Wellness Resources
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