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Oleksandr Zh.

Oleksandr Zh., Data Scientist Developer

Last Job: 17 Aug 2023

- 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
Last Job: 4 Jul 2023
Identity Verified
Programming Skills Verified
CV 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

5.0
Based on 9 reviews

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5.0
Based on 9 reviews
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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.

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

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Hire: Choose the best fit for your project.

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

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

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

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

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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

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