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Data Science
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Data Science
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Python
C#
C++
Keras
Matplotlib
NumPy
Pandas
PyTorch
Scikit-learn
Seaborn
TensorFlow
PostgreSQL
SQL
SQLite
AWS ML (Amazon Machine learning services)
Deep Learning
Keras
Machine Learning
NumPy
OpenCV
PyTorch
Scikit-learn
TensorFlow
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

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

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How and where is Data Science used?

  • 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.

  • 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

  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?

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

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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.