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Fractional Data Scientist (Advisor Network)

2 months, 3 weeks ago
Anywhere
Contract
Senior
Data Scientist
Data Science and Analytics
Apache Spark Looker Machine Learning Python R SQL Tableau
Apply Now
Arootah

Arootah

Arootah is a premier advisory and coaching firm empowering finance executives to unlock peak performance and offering elite services for alternative investment funds, business development, and wellness modalities in NYC.

Professional Services
11-50
View All Jobs 25

Description

  • Scope, build, and lead the investment data science and analysis practice for a hedge fund or family office investment team.
  • Perform exploratory analysis, clustering, and modeling on large structured and unstructured datasets.
  • Deploy production-ready models for lead scoring, look-alike modeling, retention, and related use cases, including post-deployment monitoring.
  • Partner with investment teams to turn datasets into actionable insights and support sourcing, selection, and monitoring of investment targets.
  • Attend weekly pipeline meetings and work 1:1 with investment team leads.
  • Build portfolio company dashboards to track KPI and value creation metrics.
  • Track and benchmark companies and investment alternatives by building platforms to analyze target investment datasets.
  • Maintain and update internal datasets for comparable valuation metrics across funds and strategies.
  • Work with Technology and IT to develop a best-in-class technology stack for the data science practice.
  • Investigate data quality issues affecting analytics and risk metrics and coordinate resolutions with other groups.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
  • Master’s degree in a quantitative field such as Computer Science, Mathematics, or Statistics is a plus.
  • 6+ years of proven experience as a Data Scientist at a hedge fund, investment management firm, or family office.
  • Proficiency in Python, R, and SQL.
  • Experience with data visualization and dashboarding tools such as Tableau, Looker, or QlikView.
  • Experience with big data technologies such as Apache Spark and cloud computing platforms.
  • Hands-on expertise with emerging data science techniques, technologies, and machine learning/artificial intelligence applications.
  • Understanding of financial concepts, asset classes, investment vehicles, security types, and how data science applies in finance.
  • Comfort working with high volumes of structured and unstructured data and multiple datasets.
  • Strong written and spoken communication skills with the ability to explain issues and recommend solutions.

Benefits

  • Project-based consulting work that fits around existing commitments.
  • Access to alternative investment industry engagements with hedge funds, private equity firms, and family offices.
  • Arootah handles client origination and engagement management, so advisors focus on delivery.
  • Opportunity to join a curated network of senior operators and vetted advisors.
  • Flexible as-needed engagement model; placement is based on client demand and fit.

Interested in this position?

Apply directly on the company website

Apply Now

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