For hiring teams
You need someone rare in the NBA.
Tell us about the role, the team you're building, and what's been missing from previous shortlists. We'll come back with how we can help.
AI & Data in the NBA
AI and Data Recruitment for the NBA.
Specialist hiring for the basketball analytics, player development and SportsTech vendors who are reshaping how the league plays, hires and scouts. Quant-meets-court hires, made through the network that actually knows them.
The state of play
Basketball Analytics Has Gone Deep.
The NBA was the first major league to treat analytics as a first-class discipline, and the lead has only grown. Player tracking, shot quality models, lineup optimisation, load management, draft-decision support - every front office is hiring against it.
The talent pool is small, the bidding wars are real, and the candidates worth hiring are usually under NDA, not on LinkedIn.
We've been in those conversations for years. Animo's NBA work is built on the same principle as the rest of the firm: deep relationships, honest opinions, no volume.
The work
NBA-Specific Hiring, End-to-End.
Every NBA search is run by Kev personally. Twenty years hiring data and AI talent, four of them now exclusively in sport.
NBA roles we hire
- Basketball Analytics Analyst
- Sports Data Scientist (NBA / basketball)
- Player Development Data Analyst
- Computer Vision Engineer (player tracking, broadcast)
- AI / ML Engineer (basketball applications)
- Data Engineer (tracking pipelines, video data)
- Director of Basketball Analytics
- VP / Head of Basketball Strategy & Analytics
Who we work with in the NBA
- NBA franchises - front offices, performance, player development
- League-level analytics, BAA and G League groups
- SportsTech vendors - tracking, scouting, fan platforms
- Broadcasters and rights-holders integrating AI into live production
- WNBA and developmental basketball ecosystems
The process
Brief, Scout, Shortlist and Sign.
Most recruiters work the funnel. We work like a scouting department - a small number of genuinely qualified candidates, presented with full context, after we've already had the difficult conversations.
- 01
The brief
A proper conversation about the role, the technical stack, who already sits in the NBA data team and the wider strategic context. Job specs come out of this - not the other way round.
- 02
The scout
Targeted outreach across our NBA network and adjacent industries. We're already in the conversations the people you want are having. We don't post and pray.
- 03
The shortlist
A small number of qualified candidates, each with a written summary covering technical fit, NBA literacy, motivation and honest reservations. Full picture, not the pitch.
- 04
The signing
We support the offer process, manage counter-offer conversations and stay in the loop through onboarding and beyond.
Next step
Hiring Inside the NBA?
For candidates
You work in basketball data.
If you're an analyst, data scientist or ML engineer in basketball - or thinking about a move into it - get in touch. No pressure, no spam.
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