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Top UpStack Data Science Developers

Eduardo L.

Eduardo possesses over 20 years of professional software development background and has the experience and skills to fulfill both programming and data engineering roles. He enjoys building data processing pipelines as well as designing and developing software solutions using Golang, Python, and DevOps.

Michael G.

Michael is a Machine Learning Consultant and Educator with a technical focus on machine learning and statistical analysis using Python, R, SQL and Shiny. He provides expertise for machine learning, regression analysis and statistics, text mining and social media analysis, time series analysis, Shiny Web Applications and machine learning applications using frameworks such as Keras and TensorFlow. He is a keen researcher and participant in international machine learning conferences.

Al M.

Al Mahdi is a versatile IT Expert with 12+ years of industry experience and know-how in data science using different tech stack for the provisioning of highly performant software solutions for clients. He has mastery in the development of different systems that use machine learning, neural networks and new technologies. He utilizes a client-centred approach and client feedback to fine-tune the quality of solutions delivered to clients.

Ruud T.

Ruud is a business-minded Data Scientist with 7+ years of technical expertise in the delivery of valuable data-driven solutions and insights on projects via data analytics and advanced data-driven methods. He provides solutions that drive sustainable corporate growth; with gains in customer loyalty and profits.

Steven B.

Steven is a qualified Data Scientist and Data Engineer who develops and deploys full analysis pipelines for Machine Learning and data mining projects on large datasets. He has hands-on experience translating models into business insights and applying data knowledge to real-world business problems. Steven uses various technology stacks to deliver solutions to complex projects using a practical focus and collaborating in cross-functional teams.

Dmitry Y.

Dmitry is a seasoned Solutions Architect/Delivery Manager with 15+ years of industry experience in the delivery of high-quality Data Warehousing, Cloud Analytics and Strategy Consulting solutions that enable business in the Financial Services, Telecom, Gaming, Insurance, and Healthcare sectors to become data-driven; leveraging on the best technology stack and engineering practices for implementation.

Claudiu N.

Claudiu is a Senior Database Engineer and ETL Developer with a solid background in databases, data warehousing, data engineering, BI, Linux, Big Data, and financial analysis. He is a strong Oracle-certified IT professional highly skilled in SQL and Oracle DB, ETL, design and tuning, strategic planning, database monitoring and growth, performance improvement, and process automation. Claudiu is currently engaged as a Database Consultant/Developer at NTT DATA, working on analytics and CRM tasks and also serving as a PL/SQL and Java developer.

Abdelilah A.

I am an expert Geospatial and Machine Learning Engineer with 8+ years of technical experience, providing consultancy on solutions for AWS cloud platform deployments, object detection, segmentation, deep learning and geospatial systems. I am a good communicator and team player; delivering excellent solutions on projects to ensure client satisfaction.

Mariel B.

Qualified Data Scientist specialized in Artificial Intelligence with 7+ years of experience in creative modeling of complex data for classification and prediction using Python and R. Mariel is proficient in Data Analysis and communicating results to audiences with diverse backgrounds. Contributed to multiple research projects, while being a Bioinformatics Ph.D. candidate in the School of Mathematics, Statistics and Applied Mathematics at the National University of Ireland - Galway with peer-reviewed publications in Artificial Intelligence and Bioinformatics.

Nelson P.

Well-versed Data/Cloud Engineer, Business Intelligence & Data Scientist Consultant with 10+ years of experience building data-intensive applications, with extensive hands-on knowledge across multiple industries (real estate, oil, Insurance Brokers, etc). I strive to make an impact by creating scalable data platforms and transforming big data into valuable insights using data science and analytics. My primary interests include distributed systems, large-scale structured storage & query optimization, and data exploration and prediction with ML/AI.

Hire Data Science Developers with Upstack

Hiring the most effective data science developer can be stressful and time-consuming The proper candidate needs to be practical, experienced, accountable and receptive, or your project could fall behind. Upstack can resolve all of your hiring issues by matching you with data science developers which are within the top 1Percent of their skill set. Our highly effective matching system uses sophisticated artificial intelligence that finds your organization the perfect prospect for your upcoming project. It's our unique blend of artificial intelligence and one on one job interviews that assures your company a great match for your development team. Our primary goal is to help you discover a data science developer that can contribute to your team immediately. Our programmer hiring process continues to be enhanced through our many years in service and is trusted by many fast-growing startups. Start your hiring process with Upstack now and start adding qualified developers to your staff.

Our ability to find you the ideal data science developer couldn't be simpler with our intelligent matching process. With Upstack the hiring process is efficient and will take hours instead of days to find a data science programmer. Our matching system and professional staff can save you time and gets any project started quickly. Every concern has been taken into account, from time zone overlap to developer availability. It's important for us to find your organization the perfect developer match, not just any developer will do and we realize that. Simply tell us what capabilities you’re searching for and an Upstack specialist will get in touch with you, it’s that simple.

They trust Our Data Science Developers

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Why hire a Data Science Developer with Upstack

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    Top Data Science talent pre-vetted for a perfect fit.

    Our 8-point assessment evaluation ensures that every senior Data Science developer you interview exceeds expectations across technical, cultural, and language criteria.

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    Hire reliable, passionate Data Science developers.

    From late-night sprints to jumping on a last-minute face-to-face, we ensure that your recruits are down to get the job done right.

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    Risk-free 14-day trial.

    Confidently onboard candidates with our no-questions-asked trial period. We’ll walk you through the contract-to-hire process if and when you’re ready to make it permanent with your new Data Science engineer.

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    Our Client Success Experts provide white-glove service.

    Stay laser-focused on your business goals while our team of experts curates potential candidates and manages seamless programmer onboarding.

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    Build your optimal team confidently, quickly.

    UpStack handles everything including background and reference checks, legal issues, and more. Our platform streamlines billing, timesheets, and payment all in one easy-to-access place.

  • Schedule a call with a Client Success Expert to get starting hiring a Data Science developer.

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Hire from the Best.

Working with our Client Success Experts, we’ll help you build the remote team of your dreams with top Data Science talent from around the world.

Pre-vetted, reliable Data Science developers are standing by.

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Hiring Data Science Developers | FAQs

  • How much does it cost to hire a Data Science developer?

    UpStack has a simple billing model where each Data Science developer has a standard hourly rate averaging between $65-$75 per hour. Rates are based on skills, knowledge, and experience, and our developers are available mainly for full-time engagement (40 hours per week) and the occasional part-time opportunity (20 hours per week).

  • What is the process to find a Data Science developer?

    You’ll connect with an UpStack Client Success Manager to determine your immediate needs. Our team uses a combination of AI and personal assessment to short-list candidates that match your job requirements. From there, you interview, select, and onboard the perfect developer, all within days of your initial call.

  • How does UpStack find its Data Science developers?

    UpStack’s talent recruitment team connects with software developers around the globe every day. Each Data Science programmer is vetted for technical, communication, and other soft skills necessary for a developer to successfully work with your team. Once vetted, the candidates are accepted into the UpStack developer community.

  • How is UpStack different from an agency or recruiter?

    UpStack's community of available, pre-vetted engineering talent means minimizing roadblocks to scaling your team effectively, efficiently, and immediately. Our Client Success Experts work with you and your UpStack developer to ensure a smooth and seamless engagement.

  • Can I hire UpStack Data Science developers directly?

    Yes, you can hire UpStack Data Science developers at any time, and with the same assurance of smoothly on boarding talent risk-free. First, we’d create a job opening on our portal. Then, we’d vet, interview, and match developers that meet your needs. If you’re satisfied at the end of the 14-day trial period, at any time you can directly hire them.