Hire Data Scientists

Data Scientists
At Upstaff, we connect you with top-tier Data Scientists who turn raw data into actionable insights. Skilled in Python, R, statistics, and big data tools, Data Scientists bridge the gap between data and strategy:
  • Data Analysis: Cleaning and interpreting complex datasets to uncover trends.
  • Predictive Modeling: Building machine learning models for forecasts and recommendations.
  • Data Visualization: Delivering clear, impactful visuals to communicate insights.
  • Experimentation: Designing tests to validate hypotheses and drive innovation.
 
Data Scientists
2K+ Vetted Developers
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48 hours average start

Meet Upstaff’s Vetted Data Scientist Developers

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Python
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- Applied data scientist and MLOps engineer with 5+ years in PHY security and ML for wireless systems. - End-to-end ML delivery: data wrangling, feature engineering, model development (scikit-learn, PyTorch), evaluation, and CI-friendly deployment. - Built ML-driven performance measurement and scheduling/optimization services; exposed via REST APIs; productionized on Microsoft Azure (ML Studio, Function Apps). - Strong data engineering foundation: SQL modeling and queries (Azure Data Studio), data pipelines, and reproducible experimentation. - Methods expertise: supervised/unsupervised learning, reinforcement learning, adversarial/robust modeling, optimization techniques. - Practical MLOps: containerized services, API design, monitoring-oriented deployment patterns, version control (Git). - Domain background: physical-layer authentication, anti-jamming/anti-spoofing, and federated/edge learning research. - Track record of translating complex problem statements into scalable, measurable data products with clear product impact.

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Seniority Senior (5-10 years)
Location Netherlands

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Data Scientist Tech Radar

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Photo: Yaroslav Kuntsevych(Upstaff CEO)
Yaroslav Kuntsevych
co-CEO

Why Upstaff

Upstaff is a technology partner with expertise in AI, Web3, Software, and Data. We help businesses gain competitive edge by optimizing existing systems and utilizing modern technology to fuel business growth.

Real-time project team launch

<24h

Interview First Engineers

Upstaff's network enables clients to access specialists within hours & days, streamlining the hiring process to 24-48 hours, start ASAP.

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Faster Talent Acquisition

Upstaff's network & platform enables clients to scale up and down blazing fast. Every hire typically is 10x faster comparing to regular recruitement workflow.

Vetted and Trusted Network

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Security And Vetting-First

AI tools and expert human reviewers in the vetting process is combined with track record & historically collected feedbacks from clients and teammates.

~50h

Save Time For Deep Vetting

In average, we save over 50 hours of client team to interview candidates for each job position. We are fueled by a passion for tech expertise, drawn from our deep understanding of the industry.

Flexible Engagement Models

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Custom Engagement Models

Flexible staffing solutions, accommodating both short-term projects and longer-term engagements, full-time & part-time

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Unique Talent Ecosystem

Candidate Staffing Platform stores data about past and present candidates, enables fast work and scalability, providing clients with valuable insights into their talent pipeline.

Transparent

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No Hidden Costs

Price quoted is the total price to you. No hidden or unexpected cost for for candidate placement.

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One Consolidated Invoice

No matter how many engineers you employ, there is only one monthly consolidated invoice.

How to hire with Upstaff

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Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person.
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Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Trusted by Businesses

Upstaff operates as a partner, not just an agency. Express that they aim for long-term cooperation and are dedicated to fulfilling client requirements, whether it’s a short one-month project or a more extended collaboration.
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Europe’s Data Vision: Dataspaces for Zero-Trust AI Infrastructure
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Europe’s Data Vision: Dataspaces for Zero-Trust AI Infrastructure

Upstaff builds AI-Driven Data Platform for Environmental Organizations
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Upstaff builds AI-Driven Data Platform for Environmental Organizations

Bringing 2M+ Wallet Ecosystem to the Next Level Decentralized Operating System.
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Want to hire Data Scientists? Then you should know!

Table of Contents

How and where is Data Science used?

  • Data Analysis: Analyzing customer behavior
  • Image Recognition: Identifying objects in images
  • Natural Language Processing: Sentiment analysis
  • Forecasting: Predicting sales trends
  • Recommendation Systems: Suggesting products to users
  • Anomaly Detection: Identifying fraudulent activity
  • Healthcare Analytics: Predicting patient outcomes
  • Supply Chain Optimization: Improving inventory management
  • Social Media Analysis: Understanding user preferences
  • Fraud Detection: Detecting unusual patterns in data

Quick Facts about Data Scientists.

  • Data Scientist Software Development was born in the year 1996.
  • The most popular project types involve data analysis and machine learning models.
  • The entry threshold for this technology is having a strong understanding of statistics and programming.
  • One of the most popular related technologies is Big Data technologies like Hadoop.
  • Fun Fact: Data Scientists spend 80% of their time cleaning and preparing data.

TOP Data Scientist Related Technologies

  1. Python (Guido van Rossum, 1991)
  2. R (Ross Ihaka and Robert Gentleman, 1993)
  3. SQL (Donald D. Chamberlin and Raymond F. Boyce, 1970)
  4. TensorFlow (Google Brain Team, 2015)
  5. PyTorch (Facebook AI Research Lab, 2016)

What are the top Data Scientist instruments and tools?

  • R: The statistical programming language with a release date back in 1993
  • Python: A versatile language introduced in 1991
  • TensorFlow: Open-source machine learning library by Google, started in 2015
  • Tableau: Data visualization tool from 2003
  • Apache Spark: Fast big data processing since 2014
  • Scikit-learn: Machine learning library for Python from 2007
  • SQL: Structured Query Language has been around since the 1970s
  • Hadoop: Distributed storage and processing framework launched in 2006
  • Jupyter: Interactive computing platform established in 2014
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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Photo: Yaroslav Kuntsevych(Upstaff CEO)
Yaroslav Kuntsevych
co-CEO

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Data Scientist developers?

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FAQs on Data Scientist Development

What is a Data Scientist Developer? Arrow

A Data Scientist Developer is a specialist in the Data Scientist framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data Scientist Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data Scientist Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data Scientist Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Data Scientist, then hiring a Data Scientist Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data Scientist Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Scientist Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Data Scientist Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Data Scientist Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data Scientist Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Data Scientist Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Data Scientist Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.