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
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Python
AWS ML (Amazon Machine learning services)
Deep Learning
Keras
Machine Learning
NumPy
OpenCV
PyTorch
Scikit-learn
TensorFlow
C#
C++
Keras
Matplotlib
NumPy
Pandas
PyTorch
Scikit-learn
Seaborn
TensorFlow
PostgreSQL
SQL
SQLite
Heroku
AWS Cloud Data Science services
AWS ML (Amazon Machine learning services)
Docker
FastAPI
GitHub
GitLab
Linux
Microsoft Visual Studio
PyCharm
OOP
Data Science
DVC
LaTeX
MS VS Code
NLP
NLP/ML algorithms
speech and NLP/ML techniques
...

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

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Seniority Junior (1-2 years)
Location Vinnitsa, Ukraine
Kafka 1yr.
Java
JavaScript
PL
Python
Scala
VBScript
HTML
XML
JSON
Apache Airflow
Apache Hive
Business Intelligence (BI) Tools
Data Analysis
ELT
ETL
Apache Hadoop
Apache Hive
Database Administration
Database Analysis
Database Design
Database Modeler
Database Modeling
Data Warehouse
Google BigQuery
Microsoft SQL Server
MongoDB
MySQL
Oracle Database
PostgreSQL
Snowflake
SQL
SQL Tuning
AWS
Azure
GCP (Google Cloud Platform)
AWS big data services
Azure
Google BigQuery
Docker
Electronic Data Interchange (EDI)
Excel
Microsoft Office
Microsoft PowerPoint
Microsoft Word
Kubernetes
Linux
macOS
Unix
Windows
Microsoft Visio
Scrum
Business Requirements
Cloud Computing
CSV
Data Architect
Data Integration
Data Science
Data Transformation
System Analysis
Visual Basic
...

- 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

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Seniority Senior (5-10 years)
Location Brazil
Python 6yr.
TensorFlow 5yr.
AWS
Flask 6yr.
Scikit-learn 6yr.
OpenCV 6yr.
Scikit-learn 6yr.
AWS Cloud Data Science services 6yr.
R
Dlib
Matplotlib
NumPy
Pandas
Seaborn
Jupyter Notebook
AWS DynamoDB
AWS SageMaker (Amazon SageMaker)
NumPy
AWS API Gateway
AWS Boto3
AWS DynamoDB
AWS EC2
AWS Elastic Kubernetes Service (EKS)
AWS Lambda
AWS RDS (Amazon Relational Database Service)
AWS S3
AWS SageMaker (Amazon SageMaker)
Api Gateway
AWS API Gateway
Bash
Docker
Ffmpeg
Git
Linux
Windows
MatLab
Data Science
Statsmodels
...

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

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Seniority Senior (5-10 years)
Location Cyprus
Microsoft Power BI
Tableau
R
Python
SQL
Data Analysis
Data Mining
MySQL
PostgreSQL
ITIL
1C
Data Science
...

- Over 5 years of experience Senior Business Intelligence Analyst; - Experienced specializing in data visualization, analytics, and business process improvement; - Strong skills with Power BI and Tableau; - Experience in BI environments and creating interactive dashboards; - Strong technical R and Python; - Experience with MySQL, and PostgreSQL; - Holds certifications including Microsoft Certified: Azure Fundamentals and Power BI Data Analyst Associate.

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Seniority Senior (5-10 years)
Location Poland
RPA (Robotic Process Automation)
Blue Prism
UIPath
JavaScript
Python
CSS
HTML5
Django
Celonis
Microsoft Power BI
MS Power Automate
SQL
ClickUp
MS Power Automate
Power Apps
Git
Microsoft Power Platform
Miro
RESTful API
ABBYY Vantage
Automation Anywhere
Data Science
Microsoft 365 tools
Power Virtual Agents
...

- 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

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Seniority Middle (3-5 years)
Location Schaffhausen, Switzerland
Python
Data Science
SQL
AWS ML (Amazon Machine learning services)
PySpark
Presto S3
PostgreSQL
AWS EC2
AWS Lambda
AWS ML (Amazon Machine learning services)
GCE
Docker
GCE
Kafka
NFT
Django REST framework
Flink
General network knowledge
NLP
RDS
...

Expertise in Python, SQL, and ML web applications with a focus on practical applications in fields like AI and computer vision. Proven track record in AI with projects at DeepLogic AI, including creating an ML Web app for classifying blastocyst embryos and implementing LLM for in-house document processing. Further experience includes feature extraction via PySpark at Tata Digital, and exploiting BERT for NLP tasks at Concentrix. Academically grounded with a Master's in CS from Columbia University and a BTech in Math/CS from Delhi University. Holds AWS accreditations, demonstrating proficiency in cloud architectures, EC2, S3, and RDS. Skilled in end-to-end software development, including full-stack abilities shown at Datacultr with Django and PostgreSQL.

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Seniority Intern
Location New York, United States

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Global Partnership Manager
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Want to hire Data Scientists? Then you should know!

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How and where is Data Scientist 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

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.

 

  • 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 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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Talk to Our 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

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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.