{"id":1824236,"url":"https://alion.io/job/arootah-fractional-data-scientist-advisor-network","title":"Fractional Data Scientist (Advisor Network)","company":{"id":3861038,"name":"Arootah","domain":"arootah.com","url":"https://alion.io/company/arootah","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"D","score":48,"open_postings":37,"ghost_share":0.865,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":150,"max":350,"currency":"USD","period":"hour","gross":null,"usd_annual":700000},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Looker","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-07-17T17:00:39Z","employer_posted_date":"2026-07-17","last_verified_at":"2026-10-22T05:33:48Z","board_verified":true,"closed_at":null,"days_open":96,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":96},"description":"Opportunity Overview\nArootah engages a curated network of senior operators to support clients across the alternative investment industry, including hedge funds, private equity firms, and family offices. Advisors are deployed on project-based engagements when client needs match their expertise. Joining the network does not guarantee placement; it provides access to opportunities as they arise.\nWhy Join the Arootah Network\nAlt-industry-only engagements with hedge funds, private equity firms, and family offices\n\nProject-based work that fits around existing commitments\n\nClient origination and engagement management handled by Arootah; advisors focus on delivery\n\nAbout Arootah\nArootah is a talent solutions firm purpose-built for the alternative investment industry. We advise and we execute, covering the full talent spectrum from entry to exit across five services: Talent Acquisition, Fractional Leadership, Talent Development, Retention & Compensation, and Transition.\nMost talent firms solve one problem. Because we cover the full spectrum, we can help clients identify and solve the right one. We start with diagnosis, then deliver.\nOur team has run alternative investment firms at the highest levels as COOs, CFOs, and CCOs. That operator experience, combined with 15+ years of alternatives-specific recruiting and a network of 700+ vetted advisors across 18 functional disciplines, is what makes the advice credible and the execution reliable. We also draw on a network of 600+ coaches, deploying those with specific experience guiding senior executives in the alternatives industry.\nOne industry. One talent partner. Entry to exit.\nLearn more: https://arootah.com/\nWho We’re Looking For\nArootah is searching for experienced Data Scientists to consult for our client base. As a consultant, you will work with our Alternative Asset Firm and Family Office clients to provide expert advice. Having previously served in this leadership role, you have specific, hands-on experience developing the data infrastructure, tools, and analysis to bolster and accelerate the investment processfor a leading Alternative Asset Firm or Family Office.\nCore Areas of Expertise\nBest practice reviews.\n\nDeveloping realistic and effective action plans.\n\nBreaking apart goals into actionable steps.\n\nAdvising on vendor selection and oversight.\n\nCreating and implementing policies, procedures, and control measures.\n\nEvaluating each client’s advancement toward goal actualization through key performance indicators (KPIs) and scoring matrices.\n\nSpecial projects or other areas of need.\n\nScope, build, and lead the investment data science and analysis practice for the investment team of a Hedge Fund or Family Office.\n\nPerform exploratory analyses as well as clustering and modeling of large structured and unstructured datasets in order to deploy production-ready models in the domains of lead scoring, look-a-like, retention and more, including post-deployment monitoring.\n\nPartner closely with a firm’s investment team to turn datasets into actionable insights by attending weekly pipeline meetings and working 1:1 with investment team leads to support the sourcing, selection and monitoring of all investment targets.\n\nBuild portfolio company dashboards to track all relevant KPIs and value creation metrics for existing portfolio investments.\n\nTrack and benchmark existing companies or investment alternatives in the pipeline by building a platform to help analyze datasets across all target investments.\n\nMaintain and update all internal datasets for comparable valuation metrics across all investment team funds and strategies.\n\nWork closely with the Technology and IT team to develop a best-in-class technology stack to enable the firm's data science practice.\n\nInvestigate data quality issues affecting investment analytics and risk metrics; coordinate resolution with other groups as required.\n\nPromptly respond to investment data requests from key customers, including Traders, Portfolio Managers, and investment personnel.\n\nContinually investigate new tools and techniques, as well as emerging standards to support investment data controls and operational readiness for investment mandates.\n\nWhat You Bring\nA Bachelor’s Degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.\n\nMaster’s Degree in a quantitative field (e.g. Computer Science, Mathematics, Statistics, or other related field) is a plus.\n\n6+ years of proven experience as a Data Scientist at a Hedge Fund, Investment Management firm or Family Office.\n\nProficiency in Python, R, and SQL as well as data visualization and dashboarding tools (e.g. Tableau, Looker, QlikView) and Big Data technologies such as Apache Spark and cloud computing platforms.\n\nHands-on expertise and knowledge of emerging data science techniques, technologies, and potential business applications for Machine Learning/Artificial Intelligence.\n\nDemonstrated understanding of financial concepts, different asset classes, investment vehicles, security types, and application of data science in financial domain.\n\nComfort with high volumes of unstructured and structured data, with the ability to leverage multiple datasets to draw both granular and big picture conclusions\n\nStrong written and spoken communications skills; 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