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

Industrials

11-50 (20)

24 open positions

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Fractional Data Scientist (Advisor Network)

2 days, 13 hours ago

Anywhere

Contract

Senior

Data Scientist

Data Science and Analytics

Apache Spark Looker Machine Learning Python R SQL Tableau

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Arootah

Professional Services

11-50

View All Jobs 24

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

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