AI & ML Data Scientist for Portfolio Operations

Finatal

Boston (MA)

Hybride

USD 120 000 - 180 000

Plein temps

Il y a 4 jours
Soyez parmi les premiers à postuler

Une candidature complète en une minute

Un CV et une lettre de motivation personnalisés, prêts à envoyer.

Passez les filtres ATS

Résumé du poste

Finatal seeks a Data Scientist to join its Data Science & AI team, collaborating directly with portfolio companies to identify, build, and deploy AI/ML solutions that drive measurable business value.

The role is hands-on and highly technical, offering exposure to senior portfolio stakeholders while delivering end-to-end AI projects in a fast‑moving environment across software, healthcare, industrials, and B2B services.

Qualifications

  • Bachelor’s or Master’s degree in a quantitative field such as CS, Statistics or Data Science.
  • 3+ years of hands-on data science, ML and applied AI experience.
  • Familiarity with MLOps, cloud platforms (AWS, GCP, or Azure), and Git for reproducible work.

Responsabilités

  • Identify and build high-impact AI/ML solutions across portfolio companies.
  • Own projects from scoping and data prep through modeling, deployment and measurement.
  • Work hands-on in Python with messy datasets.
  • Build, test and stress-test models, understanding limitations and failure modes.
  • Determine GenAI, ML, analytics, or automation approaches for business needs.
  • Translate business challenges into technical solutions for senior stakeholders.
  • Evaluate emerging AI technologies and third-party vendors.
  • Communicate technical decisions and impact clearly to technical and non-technical audiences.

Connaissances

Python
Machine Learning
Data Wrangling
MLOps
Cloud Platforms

Formation

Bachelor's or Master's in CS/Stats/Data Science

Outils

APIs
Git
Production ML

Description du poste

Finatal seeks a Data Scientist to join its Data Science & AI team, collaborating directly with portfolio companies to identify, build, and deploy AI/ML solutions that drive measurable business value.

The role is hands-on and highly technical, offering exposure to senior portfolio stakeholders while delivering end-to-end AI projects in a fast‑moving environment across software, healthcare, industrials, and B2B services.

Obtenez votre examen gratuit et confidentiel de votre CV.

ou faites glisser et déposez votre fichier ici.

Similar jobs

Postes similaires à comparer

Data Scientist, Portfolio Operations
Data Scientist, Portfolio Operations

Finatal • Boston (MA)

Hybride
USD 120 000 - 180 000
AI Data Scientist
AI Data Scientist

Photon • Dallas (TX)

Sur place
USD 180 000 - 260 000
AI Data Scientist
AI Data Scientist

Burns Sheehan • San Francisco (CA)

Sur place
USD 140 000 - 200 000
AI Data Scientist
AI Data Scientist

Burns Sheehan • New York (NY)

Sur place
USD 140 000 - 200 000
AI/ML Development Analyst: Financial AI & Agentic Systems
AI/ML Development Analyst: Financial AI & Agentic Systems

Commonfund • Norwalk (CT)

Hybride
USD 100 000 - 150 000
Applied Data Science Manager - AI/ML & Cross-Functional Lead
Applied Data Science Manager - AI/ML & Cross-Functional Lead

AppFolio, Inc. • Dallas (TX)

Hybride
USD 167 000 - 209 000
Hybrid work model
Associate AI Engineer — FinTech, Production AI & Equity
Associate AI Engineer — FinTech, Production AI & Equity

iCapital • New York (NY)

Hybride
USD 100 000 - 130 000
Salary, equity for all full-time
Annual performance bonus
Comprehensive benefits: employer-paid
+2
AI-Powered Portfolio Operations Engineer
AI-Powered Portfolio Operations Engineer

Star Mountain Capital, LLC • Tampa (FL)

Sur place
USD 120 000 - 180 000
50% gym membership coverage
Cell phone stipend
Tuition support
+1
Head of Data Engineering for AI-Driven Finance
Head of Data Engineering for AI-Driven Finance

present of AI • New York (NY)

Sur place
USD 180 000 - 230 000
AI-Powered Equity Research Analyst
AI-Powered Equity Research Analyst

Workaholic360 • New York (NY)

Sur place
USD 120 000 - 170 000