Hire Data Science Developer

Data Science

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Data Science
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Hire Data Science Developers and Engineers

Nazar P., Data Science Developer

- 0.5 years of experience - Data Scientist with a Machine Learning background - Upper-Intermediate English.

Data Science

Data Science   0.5 yr.

Python

Python   0.5 yr.

Marcio A., Data Science Developer

- 20+ years of experience in IT - Experience in Support Analyst, Systems Analysis, Software Development, Data Engineer, Database Engineer, Systems Integration, Integration Developer, Data Analysis, Data Structures, Data Integration, Database Migration, Database Modeler, Database Analyst/Developer, Database Design, Database Management, Data Warehouse, Data Discovery, ELT/ETL, Extract, Transform, Load, Data Pipelines, Data Replication, Business Intelligence, Data Modeling (Dimension and Relational), Performance Tuning (SQL, PL/SQL Applications), experience in working with large databases and datasets, testing, validation, implementation, and troubleshooting skills, performance and resource optimization improvements, maintaining development, test and production environments, experience with process automation (monitoring, alerting, auto-corrective) and distributed systems, strong knowledge in PL/SQL, SQL, Oracle Database and - Knowledge in Agile methodology (Scrum, Kanban). - Upper-Intermediate English - Available ASAP - No vacation plans

Data Science

Data Science

Data Engineering

Data Engineering

Apache Kafka

Apache Kafka   1 yr.

Atilla B., Data Science Developer

- 6 years of experience - Senior Data Scientist with specialization in Machine Learning and Computer Vision - Advanced English.

Data Science

Data Science

Python

Python   6 yr.

TensorFlow

TensorFlow   5.5 yr.

AWS (Amazon Web Services)

AWS (Amazon Web Services)

Yunus T., Data Science Developer

- Skilled Robotic Process Automation Developer and Team Lead with extensive experience in strategizing and implementing RPA solutions across various financial sectors - An engineer with a solid track record of innovation and expertise in both RPA development and data science roles. - Expertise includes developing over 30 User Access Management applications using Blue Prism and UiPath, revamping nostro vostro reconciliation for over 100 accounts, and automating treasury processes. - Proven ability to create reusable automation components and integrate REST APIs, reducing development time by 25%. - Proficient in programming languages such as Python, SQL, and a suite of Microsoft Power Platforms tools. - Advanced English level

Data Science

Data Science

RPA (Robotic Process Automation)

RPA (Robotic Process Automation)

Blue Prism

Blue Prism

UIPath

UIPath

Oleksandr Zh.

Oleksandr Zh., Data Science 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 Science

Data Science   2.5 yr.

Python

Python   2.5 yr.

TensorFlow

TensorFlow   2.5 yr.

Yulia H.

Yulia H., Data Science Developer

- 5 years of experience - Senior Data Scientist with specialization in Machine Learning and Computer Vision - Upper-Intermediate English.

Data Science

Data Science   5.5 yr.

Python

Python   5.5 yr.

Only 3 Steps to Hire Data Science Developer

1
Talk to Our Data Science 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 Science Talents
Within 1-3 days, we’ll share profiles and connect you with the right Data Science talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Data Science 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 Science 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

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FAQs on Data Science Development

What is a Data Science Developer? Arrow

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

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

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

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

If your project involves developing applications or systems that rely heavily on Data Science, then hiring a Data Science 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 Science Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Science 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 Science Developers on a part-time or project-based basis? Arrow

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

What are the qualifications of Data Science 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 Science 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 Science 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.

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Table of Contents

How and where is Data Science used?

How and where
  • Customer Segmentation: Target Marketing
  • Image Recognition: Facial Recognition
  • Churn Prediction: Customer Retention
  • Sentiment Analysis: Social Media Monitoring
  • Recommendation Systems: Personalized Recommendations
  • Anomaly Detection: Fraud Detection
  • Forecasting: Sales Prediction
  • Natural Language Processing: Chatbot Development
  • Healthcare Analytics: Disease Diagnosis
  • Supply Chain Optimization: Inventory Management

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

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in data cleaning
  • Conduct basic statistical analysis
  • Support senior team members
60,000
Middle2-5 years
  • Develop predictive models
  • Optimize algorithms
  • Collaborate with cross-functional teams
80,000
Senior5-8 years
  • Lead data strategy
  • Provide technical guidance
  • Manage project timelines
100,000
Expert/Team Lead8+ years
  • Define data architecture
  • Mentor junior team members
  • Drive innovation
120,000

Quick Facts about Data Science.

Facts about
  • Created in 1956, Data Science Software Development has a long history.
  • It is widely used in projects like predictive analytics and data mining.
  • The entry threshold for this technology is having a strong grasp of programming and statistics.
  • Python is the most popular related technology in Data Science Software Development.
  • In Data Science Software Development, data is like pizza – the more toppings, the better!

TOP Data Science Related Technologies

Related Technologies
  1. Python (Guido van Rossum, 1991)
  2. R (Ross Ihaka and Robert Gentleman, 1993)
  3. Java (Sun Microsystems, 1995)
  4. SQL (Donald D. Chamberlin, Raymond F. Boyce, 1974)
  5. TensorFlow (Google Brain Team, 2015)

What are top Data Science instruments and tools?

Instruments and tools
  • RapidMiner: A powerful tool for data prep and machine learning, released by RapidMiner in 2006
  • Tableau: Known for its exceptional data visualization capabilities, released by Tableau Software in 2003
  • Python: A versatile programming language for data analysis, released by Python Software Foundation in 1991
  • R: Popular among statisticians for data analysis and visualization, released in 1993
  • SAS: Offers advanced analytics solutions, released by SAS Institute in 1966

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