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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.

OUR CLIENTS


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.

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

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

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

    Consult with one of our specialized Artificial Intelligence & Data Science recruiters to understand your goals, technical needs, and team dynamics.

  • 2

    WORK WITH HANDPICKED DATA SCIENCE AND ARTIFICIAL INTELLIGENCE TALENT

    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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