Copyright Capital – IT recruitment of two senior data scientists for a Swiss funding and content licensing platform

Nikoloz Khotcholava

Last updated on March 11, 2026 | 10 min read

Introduction

Copyright Capital is a Swiss FinTech platform for funding and content licensing in the creator economy. The team needed stronger analytics and forecasting, which would improve asset valuation and accelerate decision-making. They planned to hire two Senior Data Scientists skilled in Python and SQL, working with AWS SageMaker, Redshift, TensorFlow, and ElasticSearch.

Internal recruiting had slowed after weeks of limited traction, leaving analytics work pending and model updates delayed. Profiles with experience in time-series modeling and content-data analytics were rare, and remote coordination made reviews slower. DevsData LLC stepped in with a stack-aligned process that produced a shortlist in four business days. We placed two Senior Data Scientists and accelerated onboarding, bringing forecasting back on schedule.

Client overview

Founded in Switzerland, Copyright Capital is a FinTech platform for funding and content licensing in the creator economy. The company provides creators with clear financial tools and valuation methods tied to current platform data and pricing signals. Forecasts are integrated with the analytics pipeline, so teams receive outputs used in funding and licensing decisions. The organization tracks changes in digital platforms and macroeconomic trends to keep models aligned with current conditions.

Key services and areas of specialization:

• Funding programs for creators and production companies across video, audio, images, and text.
• Licensing workflows with transparent terms and rights management.
• Asset valuation frameworks linked to platform metrics and pricing signals from sources like YouTube, Spotify, TikTok, and Patreon, using CPM, RPM, watch time, and completion rate to inform funding and licensing decisions.
• Revenue forecasting models integrated with analytics pipelines.

The company employs about 200 people and serves clients worldwide. Operations span multiple markets, with a platform built for remote collaboration.

Project scope and objectives

Copyright Capital engaged DevsData LLC when a critical vacancy slowed progress on its creator market platform. The company needed an external partner to identify and place two Senior Data Scientists capable of reinforcing valuation and licensing systems. The recruitment was aimed at restoring development flow for predictive models used in asset pricing and funding operations across the Swiss market.

The assignment covered the entire cycle from sourcing to placements, with assessments built around both technical skills and distributed teamwork readiness. Required expertise spanned Python, SQL, PyTorch, and cloud-based tools, including AWS SageMaker, TensorFlow, Redshift, and ElasticSearch. Candidates also needed applied experience in time series methods and content-focused data pipelines, ensuring contributions could begin quickly without extended ramp-up.

Objectives emphasized measurable business outcomes. Leadership wanted shorter training cycles for forecasting, stronger accuracy in model results, and insights that would guide funding choices. The successful hire would help stabilize release schedules, reduce delays that affect valuation outputs, and provide additional capacity for scaling services across international markets. With this mandate, DevsData LLC was expected to close the gap between stalled recruitment and the company’s strategic deadlines.

Challenges and constraints

Recruitment for the two Senior Data Scientist roles was unusually demanding because of the limited talent pool combining advanced technical expertise with licensing and valuation knowledge. Internal hiring attempts had already slowed project delivery, which created urgency. The main obstacles and the ways DevsData LLC addressed them are summarized below.

These constraints demanded a process that was both fast and precise. DevsData LLC’s tailored recruitment method tied evaluation directly to the client’s goals, securing a hire who could restore forecasting work and keep delivery commitments on track.

Strategic recruitment approach

DevsData LLC concentrated its recruitment on Switzerland and a handful of European cities where data scientists with strong backgrounds in valuation and content analytics were more available. This regional mix supported Copyright Capital’s distributed structure and helped align feedback cycles with both engineering and analytics leads, reducing coordination delays.

The sourcing campaign drew on DevsData LLC’s internal database of 95000 professionals, filtered for AWS SageMaker, TensorFlow, Redshift, and ElasticSearch exposure. Recruiters added outreach through LinkedIn groups and technical forums with active machine learning discussions. Referrals from recent placements produced candidates who had already worked on forecasting and licensing tasks. From an initial pool of more than 60 profiles, the funnel was narrowed quickly through calibration sessions with the client’s managers, allowing an early shortlist to be prepared within the first week.

Evaluation was grounded in practical conditions. Python and SQL coding tasks were tied to model accuracy and pipeline stability. Scenario-based exercises measured the ability to optimize ElasticSearch queries and manage time-series data. Structured interviews confirmed communication readiness for a remote-first setup, while cultural fit checks validated alignment with the collaborative nature of Copyright Capital’s teams. These tasks reflected methods refined through prior DevsData LLC projects, such as the AI and data science recruitment for Maersk Tankers in maritime logistics. Eight candidates progressed to deeper review, and the final selections accepted an offer in less than a month.

“We looked for tangible results with large datasets and readiness for distributed collaboration. It meant fewer profiles advanced, but the final hire was productive immediately after onboarding.” – Nenad H., IT Recruitment Lead, DevsData LLC

Results and impact

DevsData LLC completed the recruitment within 23 days, placing two Senior Data Scientists who joined Copyright Capital’s Swiss team without disrupting delivery. The process ran in less than half the time of the client’s earlier internal effort, and the offer was secured after an efficient interview round that minimized demands on managers.

Key outcomes included

• A shortlist delivered to decision-makers within four business days, maintaining project momentum and keeping interview scheduling efficient.
• Recruitment efforts freed internal staff from time-consuming sourcing and vetting, allowing them to concentrate on ongoing platform improvements.
• A structured selection framework aligned the candidate’s expertise with Copyright Capital’s stack, ensuring a seamless handover into active projects.
• A transparent and documented recruitment cycle that gave the client clarity over each step and confidence in long-term hiring standards.

This result restored predictability to release planning and reinforced Copyright Capital’s ability to advance its creator economy platform with timely technical contributions. The client expressed satisfaction with both the pace of delivery and the measurable improvements achieved.

Conclusion

Copyright Capital faced mounting strain as critical analytics work slowed due to the absence of a senior specialist. Forecasting updates lagged, valuation accuracy suffered, and the overall flow of funding and licensing tasks for creators was disrupted. This was more than a hiring delay; it posed a risk to the company’s ability to maintain reliable insights for the creator economy, where timely data directly influences decisions.

DevsData LLC applied a focused strategy tailored to the client’s needs. Within four business days, an initial shortlist was presented. 66 profiles were reviewed in total, with eight progressing to detailed technical screening before a final choice was confirmed. The process moved from kickoff to contract in 23 days, more than halving the timeline of previous internal attempts. Two new Senior Data Scientists began contributing immediately upon onboarding, bringing forecasting updates back on schedule and stabilizing production pipelines. DevsData LLC’s streamlined recruitment process also reduced the client’s administrative burden and allowed resources to be redirected toward upcoming analytics initiatives. These results brought stability back to release schedules and relieved internal teams of added workload.

This engagement underscores DevsData LLC’s ability to run regionally targeted searches, apply rigorous vetting, and align candidates with complex technology stacks that include AWS SageMaker, TensorFlow, and ElasticSearch. With a proven record of closing specialized hires across Europe and the US, and a network of over 95000 vetted professionals, the firm positions itself as a reliable partner for organizations operating in fast-moving environments.

To learn more about how DevsData LLC supports recruitment in data science, engineering, and advanced cloud technologies, contact us at general@devsdata.com or visit www.devsdata.com.

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Nikoloz Khotcholava Copywriter and Marketer

Nika Khotcholava is a dedicated Copywriter crafting engaging content across various platforms. His background in social media management has sharpened his ability to communicate ideas effectively and collaborate closely with designers to bring creative visions to life. Nika thrives in fast-paced environments and enjoys learning new technical aspects every day.

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