Hire the Top 3% of Data Scientists in 48 Hours

Adrian is a software engineer and data scientist working at the intersection of software engineering, computer vision, and machine learning. He has experience in research, multinational corporations, and startup environments and was awarded patents for real estate and financial modeling projects. Adrian also contributed to surveillance systems for Singapore's border security and participated in competitive coding and hackathons, consistently ranking in the top 1% on platforms like HackerRank.

Denis is a senior full-stack AI engineer and data scientist with a PhD in mathematics and a specific focus on AI reliability and security. He's an expert in deploying modern generative AI in production end-to-end, and his skills include AI agents, ML, MLOps, big data, data analytics, and cloud infrastructure. Denis's previous industry experience spans probabilistic risk modeling, forecasting, computer vision, and team leadership across education, retail, manufacturing, and talent sourcing.

Karol is a highly experienced senior data scientist with a strong focus on NLP and wide AI applications. He has a unique academic background in physics and large-scale models, in addition to relevant experience in the customer-facing data science industry. He enjoys working with data and leading and implementing R&D projects. With his PhD in physics and the recent MBA degree, Karol combines easy technology and business.

Rosa is a full-stack developer and data scientist with a PhD, solid research skills, and extensive software engineering experience. Combining the academy and industry approaches to data sciences, she can contribute to the whole data pipeline—from exploratory data analysis to prototyping and production. Rosa has also efficiently worked on projects across different countries using her professional English, Italian, German, and Spanish proficiency.

Jayesh is a seasoned data product and data management professional with over 16 years of experience delivering products and programs in data quality management, governance, and migration. He has an extensive track record in various industries, including transport, consumer goods, energy, and telecommunications. Jayesh looks for newer and enriching opportunities that will allow him to leverage his expertise in growing businesses through effective results.

Dogugun is a skilled data scientist with expertise in machine learning and data-centric solutions. Proficient in Python and SQL, he drives data-driven decisions and delivers innovative AI solutions. His strengths lie in B2B ML projects, automated pipelines, and real-time APIs. Dogugun's predictive modeling and visualization dashboards empower businesses to optimize processes and gain strategic insights. Dogugun is a valuable asset in advancing businesses with ML-driven solutions.

Jesse is an experienced data scientist, CTO, and founder who solves complex problems. He has founded four companies, including Sigmai, an automated news parsing company for hedge funds that was acquired in 2018: Mobilads, reaching an annual run rate of $5 million a year, Bluescribe, a bi-directional English and French translation engine for Canadian legal documents, and Relu Analytics, a data-science consulting company.

Nicolas is an expert data scientist with over 24 years of experience using programming languages, including R and Python, to design and develop AI/ML data products, combined with strong practice leadership and people management skills. Nicolas is a published author and thought leader with a vast track record of success in implementing new and innovative ways of achieving the most scalable, data-centric outcomes to drive new business while promoting a consultative and collaborative environment.

Greg is a senior data analytics consultant with over 26 years of experience delivering advanced analytics solutions to Fortune 500 companies and government agencies. Specializing in business intelligence, workforce optimization, and decision-support modeling, he transforms complex operational data into strategic insights. Greg applies a broad range of analytical methods, modeling techniques, and visualization approaches to drive data-informed decisions and improve organizational performance.

Christophe holds an MBA from Wharton and leads Cedar Labs, a data science consultancy. He has ten years of data science experience across Capital One, Amazon, the 2012 Obama campaign, and several startups. Christophe has expertise in finance, marketing, and retail. His specialties include data strategy and architecture, hiring data teams, time series and forecasting, regression and classification, machine learning, NLP, analytics, and ETL/pipelines.

Allen is a machine learning architect with 15 years of experience, specializing in the integration of machine learning and data engineering. He focuses on solving business problems by aligning technology with system architecture, managing the entire journey from ideation through development and into production.