How OnHires Supported Open Data Science Conference in Scaling AI & Data Teams | Case Study
Open Data Science Conference (ODSC) is a global organizer of applied data science and AI training conferences. The company delivers educational programs designed for data science practitioners, AI engineers, and technology decision-makers, including CTOs and senior leaders. As the conference portfolio expanded across regions and formats, ODSC required additional engineering, product, and go-to-market capabilities to support platform growth and operational scale.
Client:
Open Data Science Conference
Industry:
Other
Country:
North America, Global
Service:
Executive Search
Background
ODSC operates at the intersection of education, technology, and applied AI. Delivering high-quality conferences and training programs requires strong internal teams across engineering, product, and commercial functions.
With growing global demand and increasing operational complexity, ODSC needed to scale its internal teams while maintaining execution quality and alignment across distributed stakeholders.
Challenges
When Open Data Science Conference partnered with OnHires, the team faced several hiring challenges:
Limited availability of senior talent with hands-on experience in data science and AI ecosystems.
Parallel hiring across engineering, product, and go-to-market functions.
Competitive global market for AI and data-focused professionals.
Multiple decision-makers involved across technical and commercial teams.
Need for a unified hiring process across very different role profiles.
Solution
OnHires designed a tailored recruitment program aligned with ODSC’s education-driven and technology-enabled business model.
Recruiters with domain expertise in data science, AI, and technical product roles.
Targeted sourcing across global markets with access to AI and data communities.
Deep intake and calibration sessions with leadership to define role-specific success metrics.
Custom hiring pipelines for engineering, product, and go-to-market functions.
Structured interview frameworks balancing technical depth and business impact.
Results
Through close collaboration with ODSC’s leadership, OnHires enabled a scalable and repeatable hiring approach.
4 key roles successfully closed across engineering, product, and go-to-market teams.
56% faster time-to-hire compared to previous hiring cycles.
Improved first-round interview pass rates through upfront role calibration.
Hiring aligned with ODSC’s global growth and operational priorities.
Increased predictability across multiple concurrent hiring tracks.
Beyond immediate placements, the engagement resulted in a repeatable hiring framework that ODSC continues to leverage as new roles emerge. This reduced hiring friction and improved collaboration between technical and commercial teams.
Stronger employer visibility within AI and data science communities.
Sustainable talent pipeline for future engineering and product roles.
Ongoing partnership for senior and specialized hiring needs.
This case illustrates how structured recruitment enables data-driven organizations to scale teams efficiently while maintaining execution quality and stakeholder alignment.
“OnHires brought structure and clarity to our hiring process. Their ability to align technical and business stakeholders helped us scale critical roles faster without losing quality.”
CEO
Looking for similar results?
Looking to scale your data science, AI, or product teams? Let’s build a hiring strategy that supports growth — just like we did for Open Data Science Conference.
Let’s talk
