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Tackle your most pressing business challenges with data science solutions tailored to your goals. From strategy through deployment, our data scientists apply advanced modeling to deliver measurable impact.
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Get a Free Consultation NowOur data scientists, with experience at leading companies, develop and deploy tailored solutions to meet your business needs and unique industry demands for sustainable results and long-term success.
CEO, Technology ServicesAs Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.
Previously At
CEO, Technology Services
As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.
Previously at
Technology Experience
35+ Years
Delivery Manager
Rachael serves as a Delivery Manager at Toptal with a focus on leading diverse global teams in developing innovative solutions for our clients. She works across multiple disciplines, including technology, marketing, and management consulting. Rachael specializes in managing people and client relationships, process optimization, and driving teams toward optimal business outcomes.
Previously Managed Client
Experience
9+ Years
9+ Years
of Experience
Mohab is a data scientist and machine learning developer who specializes in natural language processing (NLP) and computer vision. He has more than nine years of professional experience, and recent projects have focused on machine learning in the areas of natural language understanding (NLU), cheminformatics, and self-driving cars. Mohab stays current with cutting-edge advancements in deep learning.
Previously at
13+ Years
of Experience
David has extensive experience in building machine learning and deep learning (DL) solutions at top companies, including Apple, Google, and Facebook, unicorn startups, and academia, as he has a PhD from Carnegie Mellon U. He holds multiple patents in DL-based medical imaging tech and large-scale AI systems. David has grown an AI team to 60+ as the director and tech lead.
Previously at
18+ Years
of Experience
Emilio is a computer science engineer and MBA graduate with 18+ years of experience helping businesses define and analyze their KPIs across marketing, sales, operations, and finance. He is skilled in SQL and has been working with Tableau since 2011, developing all data integration required to feed Tableau from any data source. As a Tableau consultant and trainer, Emilio can quickly interpret the business needs and build insightful dashboards.
Previously at
27+ Years
of Experience
Shanthi has more than 27 years of experience developing applications using various technologies. As an architect, she has executed several web-based applications, integrations, data migrations, data conversions, and data warehousing projects with significant hands-on as well as leadership responsibilities. She keeps up-to-date with the latest technologies and can effectively match the business needs with those technologies.
Previously at
25+ Years
of Experience
Stephane possesses an impressive 25+ years of international experience in data analytics and business process optimization. Throughout his career, he has excelled in various areas, including database design, business intelligence (BI), machine learning algorithms, big data, and predictive analytics. Stephane's expertise lies in developing solutions that automate processes, allowing clients to allocate their efforts toward value-added activities.
Previously at
11+ Years
of Experience
Yi is currently working at Apple as a software engineer, building a platform and framework for training machine learning models on hundreds of millions of Apple devices in a privacy-preserving way. He has designed and built scalable ML systems and data infrastructure in cloud environments since 2014, and his expertise spans DevOps, ML, data engineering, both batch and streaming, and back-end web services. Yi's strongest skill is Python, Java, Spark, and SQL, coupled with good ML knowledge.
Previously at
13+ Years
of Experience
Ernesto is a business intelligence professional with more than 13 years in the field. With his expertise in data warehousing, Amazon Redshift, MS SQL Server, ETL (SSIS), Tableau Desktop, and Tableau Server, he helps companies integrate and organize data from multiple sources to be used for reporting and analysis. Ernesto’s attention to detail, strategic thinking, and expertise make him a highly qualified individual for various projects.
Previously at
12+ Years
of Experience
Matias is a machine learning engineer who's delivered creative solutions for social impact projects. His past experience includes working at IBM Research as a machine learning engineer (collaborating with IBM's Yorktown Heights research lab), co-founding a startup that develops research-backed cognitive games for the elderly (which was a provider for a Uruguayan government program), and working on several projects that use machine learning to innovate in the healthcare sector.
Previously at
24+ Years
of Experience
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
Previously at
13+ Years
of Experience
With a PhD in physics, a background in mathematics, and more than 13 years of experience modeling real-world data, Teresa has the skills to fulfill any data science role. Teresa enjoys working on the whole pipeline, from data cleaning and analytics to a final predictive model, and she especially enjoys using machine learning models.
Previously at
5+ Years
of Experience
Daniel is a data scientist and engineer with a strong background in data life cycle. He excels at crafting efficient data pipelines, designing databases, conducting advanced analyses, and harnessing machine learning.
Previously at
14+ Years
of Experience
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.
Previously at
14+ Years
of Experience
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.
Previously at
8+ Years
of Experience
Laura is a data-driven strategist with expertise in turning data into actionable insights. Laura fell in love with Tableau 7.0 in her MBA business analytics program and never looked back. Now, she is a Tableau certified professional and spends her days telling stories with data to influence business decisions.
Previously at
30+ Years
of Experience
Gabriel more than 30 years of experience installing, managing, and using SQL, NoSQL (key-value, columnar, graph), time-series, spatial, in-memory, and cloud databases. He's worked with 10TB OLTP databases, 10TB data warehouses, tables with 10+ billion rows, and databases with 10,000+ tables.
Previously at
Looking for guidance about the perfect data science service for your needs?
Looking for guidance about the perfect data science service for your needs?
UNRIVALED EXPERTISE
Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.
Discover the cutting-edge benefits our clients enjoy from the global Toptal network.
Challenge: Precision Drilling wanted to develop cutting-edge data visualization software that could accelerate the analysis of drilling rig performance data and provide increased value to its customers.
Solution: Toptal assembled a team to help Precision Drilling realize its vision. This team developed Clarity, a state-of-the-art data visualization platform that delivers real-time insights.
Outcome: The platform serves as a central hub for real-time and historical rig fleet performance data, significantly boosting efficiency and enabling instant communication of results across the organization.
Shuja Goraya, CTO, Precision Drilling
Newsweek and Statista’s rankings were based on an independent survey of more than 2,400 decision-makers at Fortune 500s.
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Highest ranked across all industries
Other Professional Services
Methodology for the Rankings
How likely the respondent is to recommend the selected company to others.
Measures the convenience of interaction with the company and efficiency of processes.
Measures the company’s cost-effectiveness and quality relative to price.
Measures whether the company consistently meets or exceeds expectations in quality and timeliness of deliverables.
Measures the company’s ability to consistently fulfill commitments and maintain customer trust.
OUR THOUGHT LEADERSHIP
Read the latest articles and resources to keep you current on emerging trends in machine learning, predictive analytics, data science consulting, and more.
Data inundates us like never before—how can we hope to analyze it? Graphs (networks, not bar graphs) provide an elegant approach. Find out how to start with the Python NetworkX library to describe, visualize, and analyze “graph theory” datasets.
Read MoreData Science Services Related Offerings
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