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Data Science & A.I.


Search our niche IT database featuring profiles of top-rated talent in high-demand roles in Data Science and Artificial Intelligence.

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Finding the right niche candidate for Data Science and Artificial Intelligence roles is challenging and time-consuming. Our team of skilled Data Science recruitment experts maintain regular communication and relationships with high-demand Data Science and A.I. candidates that work exclusively with us.

Browse Top Data Science and Artificial Intelligence Talent

Scroll and browse our top tech talent database our specialized Artificial Intelligence & Data Scientists recruiters created along their years of experience.



*All candidate names and photos have been substituted for privacy reasons.

Stefan Solie

Stefan Solie

Data Scientist
Willing To Relocate Anywhere in the United States
Base ID: 57053

Education

Bachelor of Arts in Applied Mathematics | Robert Morris University | Moon Township, PA

Professional Experience

  • 11+ years – Data scientist focused on insight delivery with experience on thinking critically, exploring and analyzing data to solve problems, creating visualizations, building models, optimizing systems, and driving business impact.
  • Educational background in applied mathematics, operations research, and data science with experience using multiple programming languages.
  • Strong business acumen, relationship building, communication, and presentation skills come from experience in management leading a team of 25.
  • Also managed his own website for over 15 years.

Previous Company

Wells Fargo

Certificates

Data Science Certificate | TDWI Data Science Bootcamp | San Diego, CA

Joseph Thomas

Joseph Thomas

Data Science Manager
New Jersey, Jersey City - United States
Base ID: 65302

Education

2009 – B.S. Electrical Engineering & B.S. Computer Science – Texas Tech University

Professional Experience

  • Global technical leadership experience with 10+ years of professional experience.
  • Leading the global Computer Vision / AI organization, responsible for researching, developing, and delivering market-disrupting production-grade technologies to the automotive insurance and repair industries.
  • Develop and maintain technical roadmaps, project schedules, staffing plans, and budgets to align with product priorities, sales needs, and financial targets
  • Delivered technical presentations at trade shows, public seminars, and private events with up to 200 attendees.
  • Staffed and managed a team of 5 controls engineers researching and implementing novel control algorithms and hardware for Extreme Ultraviolet (EUV) light sources used in semiconductor manufacturing.

Previous Experience

ASML

Certificates

AI & Machine Learning Certificate

Mark Kenneth

Mark Kenneth

Data Science Manager
Willing To Relocate Anywhere in the United States
Base ID: 68783

Education

  • 2010 – Msc.  Mathematics – University of North Texas

Professional Experience

  • +10 years of Extensive experience with Machine Learning & Data Mining Algorithms for solving Business Problems. 
  • Highly technical Mathematical background & training.
  • 9+ years of a proven track record of applied data science in challenging fields.
  • Reputation for being the go-to person for solving poorly formulated, ambiguous, challenging problems.
  • Always ensures products and solutions have a meaningful impact and are not just an exercise in academics.

Previous Experience

ANSIRA

Certificates

MFE Exam/3

Ronald Thanh

Ronald Thanh

Data & Applied Scientist II
Kansas City, Missouri - United States
Base ID: 58895

Education

Bachelor of Science in Mathematics/Actuarial Science, Business Minor – University of Texas 

Professional Experience

  • +5 years of professional IT experience as an Applied Data Scientist.
  • Design and implement predictive and prescriptive models to enhance ads monetization $5M+ annually through data regression, rule-based system, and forecasting techniques
  • Consult and construct $10M+ business solutions to help drive product and ad monetization strategy across Microsoft publisher properties from engineering conception to product/feature shipment.
  • Scope and conduct monetization experiments and simulations through A/B and multivariate testing to inform and optimize revenue strategy

Previous Experience

Microsoft

Certificates

P Exam/1, FM Exam/2, MFE Exam/3, MLC Exam/4

 

Jonathan Lewis

Jonathan Lewis

Data Science Vice President
Willing To Relocate Anywhere in the United States
Base ID: 46111

Education

2019 – Technical Leader Program | Carlson Executive Education

2010 – Masters | Healthcare Administration | University of Minnesota

2007 – Bachelor of Arts | Philosophy and Great Ideas | Carthage College

Professional Summary

  • A Data Science Vice President with 11+ years in the market.
  • Created a world-class data science team and expanded it globally to 23 people 
  • Generated $17M in cost savings by improving adherence machine learning models in 2018 
  • Led 2019 Medicare Data Science strategic planning and identified key areas of focus that would differentiate UnitedHealthcare from competitors 
  • Founded the Machine Learning Center of Excellence to identify emerging trends and create best practices for machine learning throughout the enterprise  
  • Established end-to-end machine learning processes for model creation, validation, design, and deployment, reducing model completion times by 42%

Previous Company

Adrian Bailay

Adrian Bailay

Data Scientist
Willing To Relocate Anywhere in the United States
Base ID: CH6701

Education

2011- Master of Science in Computer Systems Engineering – Northeastern University

2005- Bachelor of Science in Mathematics University of Huston

Professional Summary

  • 8+ years of experience as a tech professional in data science/machine learning, driving insights from complex data, forecasting, predictive and explanatory analysis, modeling and simulation, optimization, coding in open source programming language.
  • Data Science professional who pioneered technology transformation and optimization projects in multiple companies.
  • Data Scientist skilled in Python, R, SQL, Linux, Big Data, NPL, Analytical Models, Database Architecture, ML, Power BI, and IBM Cognos

Previous Company

Certificates

MLC Exam/4

Ivan Zayas

Ivan Zayas

Director of Analytics
Philadelphia, Pennsylvania - United States
Base ID: 64808

Education

Nanyang Technological University, Singapore – B.Eng (First Class Honors), Mechanical & Production Engineering


University of Wisconsin, Madison, USA – MS, Manufacturing & Technology Management

Professional Experience

  • 20 years of IT Experience
  • Seasoned Digital leader who has designed, developed, and deployed custom digital solutions in multiple industries that delivered innovation and quantified operational improvements.
  • Perceptive product and team management skills as well as using Agile methodology aimed at delivering significant value to stakeholders
  • Led AI, ML, and Deep Learning initiatives developed POCs and MVPs and, scaled promising models into a business centered and owned solutions
  • Consulted, modeled, and analyzed $250 million domestic transportation spend for the US Dept. of Defense, demonstrated savings opportunities of more than 25% at current service levels
  • Director of Analytics – data science expert and analytics certification.

Previous Company

Yury Grinberg

Yury Grinberg

VP Data Science
Willing To Relocate Anywhere in the United States
Base ID: 70429

Education

Ph.D., Managerial Economics and Strategy, Northwestern University

B.A., Economics, Wayne State University, Detroit

Professional Experience

  • 11+ years of IT Experience
  • Director of Central Algorithms, Economics, and Science Executive with years of experience in e-commerce, U.S. federal government, and academics.
  • Building and leading successful data science, economics, and machine learning teams, working both with experimental and with observational/real-world data
  • Led a team of twenty data scientists, economists, engineers, and machine learning scientists, analyzing the effectiveness of Amazon’s worldwide marketing spend.
  • VP of Data Science with a Data Science Certificate.

Previous Company

Amazon

Gautam Mohar

Gautam Mohar

Senior Artificial Intelligence Researcher / NLP Engineer
Willing To Relocate Anywhere in the United States
Base ID: 71019

Education

M.S in Computer Science, New Jersey Institute of Technology

Professional Experience

  • Built an AI framework consisting of a Deep Convolutional Neural Network for identifying patterns in the historical datasets.
  • Improved the analyst consensus from 52% to 74% for predicting the Lines of Influence in Stock Market using the Natural Language Processing framework and financial data.
  • Extract meaningful topics out of a corpus of large text data or real-time streaming data. Reduced the manual human effort for hierarchical topic discovery from an average of 140 individual hours across 500,000 to 1 million tokens to less than 2 minutes.
  • Led a team of data scientists and software engineers to source data from multiple data sources such as DBPedia, WikiData, NewsAPI, etc., and helped them perform ETL transformations/analytics on it.
  • Improved the business value and efficiency for automatically validating the incoming text data from multiple sources and the benchmark was more than 95% of improved accuracy.
  • Summarized huge amounts of real-time streaming multi-modal data with regards to the specialized topics that can change on a daily basis. (Approximately 9 billion tokens of text data were summarized over a period of 24 hours).
  • Artificial Intelligence Researcher & Data Science Certified

Previous Company

Zhi Chong Lin

Zhi Chong Lin

Postdoctoral Associate
New York, New York - United States
Base ID: 71542

Education

Ph.D. in Quantitative Computational Biosciences, Baylor College of Medicine

Professional Experience

  • Invent and implement a new and interpretable neural network algorithm that converges 35% faster, reduces 200 times of parameters, and marginally outperforms (AUROC>0.88) traditional neural network in PyTorch.
  • Merged and cleaned data from 3 databases and generated a network of 215,000+ drug-gene-disease associations
  • Implemented and validated graph-based diffusion in Python to predict associations with >90% precision
  • Wrote report with interactive visualization of the analysis of 5,500 job descriptions (1,100+ views in a week)
  • Decreased 94% of time spent in manual annotation by creating a machine learning pipeline using Scikit-learn
  • Postdoctoral Associate & Data Science Certificate

Previous Company

Annika Orlov

Annika Orlov

Advisor / Head of Data Science
Willing To Relocate Anywhere in the United States
Base ID: 74814

Education

Certificate, Global Emerging Leader, Harvard University, Manage Mentor Leadership Solutions.

Ph.D., Physics and Mathematics, Kerensky Institute of Physics, SB Russian Academy of Sciences.

M.S., Physics and Engineering, Reshetnev Siberian State Aerospace University, Krasnoyarsk, Russia.

Professional Experience

  • 20+ years in the Tech Industry.
  • A proven leader with a passion for data. Head of Data Science with an ability to analyze complex situations, and develop creative solutions.
  • Subject Matter Expert advising in Data Science, Machine Learning, Deep Learning, AI, eCommerce, Healthcare, Finances.
  • Head of Data Science with knowledge in algorithmic solutions, quantitative modeling, image processing, behavioral targeting modeling.
  • A Data Science professional who worked with an Agile team of full-stack engineers. Env: AWS, Cloud Computing, Google Analytics, Google Big Query.
  • a Tech professional who managed innovative DS and AI projects focused on seeking solutions to real-world problems.

Previous Company

CENTRO, Inc.

Jake Linus

Jake Linus

Lead Data Science/Operations Research Analyst
Willing To Relocate Anywhere in the United States
Base ID: 71568

Education

Doctor of Philosophy, Biology (Bioinformatics) University of Houston

Master of Science (Management Information Systems) Wright State University

Professional Experience

  • 20+ years experience as an IT Professional. Experienced with Jupyter Notebook, Microsoft Visual Studio, Cygwin, Eclipse, XCode, Android Studio, RStudio, and MixTex (Latex) software development environments.
  • 20+ years experience in OOD algorithm development using C++, C#, Objective C, Java/JavaScript/JScript, VB, R, MatLab, Julia, Python, ASP/.Net, CGI/Perl, and Latex (back-end, front-end, and GUI-based software), including Pandas, SciKitLearn, MLBench.
  • 20+ years of experience in web development using HTML/XML/CSS and combinations of languages and databases.
  • 13 years of experience as a Data Scientist professional with experience in big data applications. Including data mining, biological modeling, standard statistical analysis, and, recently, machine learning/artificial intelligence platforms including TensorFlow and the Microsoft Cognitive Toolkit

Previous Company

Adya Dara

Adya Dara

Senior Data/AI Scientist
Los Angeles, California - United States
Base ID: 71560

Education

Ph.D. Chemical Engineering, University of Tennessee, Knoxville, TN

Professional Experience

  • 10+ years in the IT space.
  • AI Scientist, Data Scientist with Engineering, and Computational Science background.
  • Exploring the capabilities of modern artificial intelligence and deep neural network solutions to practical problems.
  • As a Data Scientist professional, experimenting and implementing data analysis methods with efficient tools to derive accurate outcomes from big data.
  • Experience in developing end-to-end ML pipelines and deployments. Provided computational collaboration to scientific research through molecular models, simulations, and data analysis in academia.

Previous Company

Clyde Marx

Clyde Marx

Machine Learning Engineer: NLP Specialist
Willing To Relocate Anywhere in the United States
Base ID: 71555

Education

MS, B. Eng: Physics, Material Science Engineering
SM, Nuclear Engineering & Applied Sciences

Profesional Experience

  • Data Science professional who delivers engineering solutions that systematize management by automating decision-making at the company level. This includes processing unstructured text data (e.g PDFs) into query-able tables of interesting entities.
  • The AI COE resides at the intersection of all core activity within Fidelity investments by providing AI-driven insights for the $5.7 T of assets managed for clients.
  • A Machine Learning Engineer who implemented ML & data science techniques to process call data leveraging knowledge graphs, ontology, named entity recognition, speech/written language/voice recognition, and interactive chatbots.
  • Data Engineer who published an internal white paper detailing a Laplace smoothing technique he implemented for noise reduction in time series data.

Previous Company

Erica Mackeson

Erica Mackeson

Chief Data Scientist
Willing To Relocate Anywhere in the United States
Base ID: 54983

Education

Exec MS Technology, Penn State University

Professional Experience

  • Data Science professional with 30 + years of experience in data mining and analytics projects in Risk Modeling, and Profiling and Segmentation analysis
  • A Chief Data Scientist highly experienced in Logistics Modeling Credit Scoring, Fraud Detection, Operations Research, Forecasting, and Optimizations.
  • Multiple Awards for Process Improvements and Projects as Lead Role.
  • Big Data Team Lead for all forecasting activities and evaluation of customers and operational needs.

Previous Company

Patrick Holmes

Patrick Holmes

DevOps Data Engineer / Programmer DevOps Data Engineer / Programmer
Willing To Relocate Anywhere in the United States
Base ID: 1721

Education

Master of Science, Statistics – New York University

Professional Experience

  • Big Data expert with extensive software engineering and data scientist skills, an insatiable intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi-structured, and unstructured data.
  • A Senior DevOps Engineer who is able to leverage a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration using predictive analytics is another area that he thrives in.
  • A Data Science professional experienced in Spark, Scala, and Java are tools that he primarily used to gain insight into our data as well as leverage it.
  • Using Spark to process large data sets, Kafka, and AWS to Stream data as well as to get real-time analytics.

Previous Company

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How To Receive Our Gold Data Science and Artificial Intelligence Candidate Profiles In Your Inbox

  • 1

    SPEAK WITH LEADING ARTIFICIAL INTELLIGENCE & DATA SCIENTIST RECRUITERS

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  • 2

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    Within days start receiving qualified candidate profiles in your inbox. Average time to start receiving profiles within 48 hours.

  • 3

    FIND THE RIGHT FIT FOR YOUR DATA SCIENCE AND ARTIFICIAL INTELLIGENCE ROLE

    Our specialized Artificial Intelligence & Data Science recruiters thoroughly pre-screen and pre-qualify every candidate. We work hard to ensure you’re getting a highly qualified, technical match that meets the demands and qualifications of the job.

Sourcing in-demand specialty talent in Data Science and Artificial Intelligence isn’t easy.

If you’re tired of handing your tech jobs to nontechnical Artificial Intelligence & Data Science recruiters or HR, we’re here to help. No more endless back and forth messaging with recruitment partners and endless unqualified candidates in your inbox.

Our leading niche IT staffing agency works exclusively with Data Science and Artificial Intelligence specialized candidates that have specialized, in-demand skills such as Python, R, Data Visualization, and Machine Learning.

As a leading IT recruitment agency, we know the importance of focusing on skilled Artificial Intelligence & Data Science Technology talent that can provide value to your organization. We successfully screen, source, and find talented individuals in this highly specialized and evolving Data Science landscape.

FAQ’s

As specialized IT recruitment specialists, we’re not just another recruitment agency. We take pride in nurturing ongoing client and company partnerships. We partner with clients to ensure their success while supporting their vision throughout the entire recruitment process.

We know how challenging it can be to fill niche IT roles or navigate the long process of finding a candidate with a specialized IT skillset. That’s why we streamline the traditional recruiting process through our extensive network of niche candidates and clients. We serve as a liaison between clients and candidates and match the best IT talent so you can go back to focusing on what’s important.
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