Hire Data Scientist Developer

Data Scientist

Upstaff is the best deep-vetting talent platform to match you with top Data Scientist developers for hire. Scale your engineering team with the push of a button

Data Scientist
Trusted by Businesses

Hire Data Scientist Developers and Engineers

Oleksandr Zh.

Oleksandr Zh., Data Scientist Developer

- 2.5 years of experience - Middle Data Scientist specializing in NLP, Machine Learning, and Computer Vision. - Master’s degree in Applied Mathematics. - Intermediate English.

Data Scientist

Data Scientist

Python

Python   2.5 yr.

TensorFlow

TensorFlow   2.5 yr.

Andriy S

Andriy S, Data Scientist Developer

$30/hr, $5000/month
Identity Verified

• A software engineer specializes in the implementation of back-end systems using such languages as Java, Scala, and Go. Experienced in incorporating open source big data software such as Mesos, Kafka, and Cassandra into business-oriented solutions. Another area of expertise is building web applications using full-featured web frameworks, like Grails and Spring MVC. • Successfully delivered a number of server-side only, as well as client-facing web software products as a team leader. Been leading R&D projects, including researches regarding decentralized software and blockchain technologies. Participated in open source contributions, developing Mesos frameworks, Groovy-based utils, and frameworks — please see GitHub for more details. • B2 English and excellent communication skills.TECHNICAL PROFICIENCIES Programming languages: Java, Scala, Go, Groovy, JavaScriptBig data tools: Mesos, Aurora, Marathon, Kafka, Zookeeper, Spark, Storm, Heron, ZipkinDecentralized software: Ethereum, Solidity, web3Databases: Cassandra, PostgreSQL, MySQL, MongoDBFull-featured web frameworks: Spring Boot, GrailsServer-based software maintenance: Amazon Web Services (EC2, RDS, S3, OpsWorks / Chef.io, ELB)Continuous integration: Jenkins, CircleCI Documentation: Markdown, La

Data Scientist

Data Scientist

Go

Go

Java

Java

Only 3 Steps to Hire Data Scientist Developer

1
Talk to Our Data Scientist Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Data Scientist Talents
Within 1-3 days, we’ll share profiles and connect you with the right Data Scientist talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Data Scientist expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Welcome on Upstaff: The best site to hire Data Scientist Developer

Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

Yaroslav Kuntsevych

CEO
Hire Dedicated Data Scientist Developer Trusted by People

Hire Data Scientist Developer as Effortless as Calling a Taxi

Hire Data Scientist Developer

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.

Discover Our Talent Experience & Skills

Browse by Experience
Browse by Skills
Browse by Experience
Arrow
Browse by Experience
Browse by Skills
Go (Golang) Ecosystem Arrow
Ruby Frameworks and Libraries Arrow
Scala Frameworks and Libraries Arrow
Codecs & Media Containers Arrow
Hosting, Control Panels Arrow
Message/Queue/Task Brokers Arrow
Scripting and Command Line Interfaces Arrow
UiPath Arrow

Want to hire Data Scientist developer? Then you should know!

Share this article
Table of Contents

How and where is Data Scientist used?

How and where
  • 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

Compare Junior, Middle, Senior, and Expert/Team Lead Data Scientist Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in data collection and cleaning
  • Develop basic data models
  • Support senior team members
$60,000
Middle3-5 years
  • Conduct data analysis and interpretation
  • Collaborate with cross-functional teams
  • Lead small projects
$80,000
Senior6-8 years
  • Design and implement complex data solutions
  • Mentor junior team members
  • Manage project timelines
$100,000
Expert/Team Lead9+ years
  • Lead data strategy and innovation
  • Provide technical guidance
  • Manage team performance
$120,000

Quick Facts about Data Scientist.

Facts about

  • 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

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 top Data Scientist instruments and tools?

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

Join our Telegram channel

@UpstaffJobs

Talk to Our Talent Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager