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Top-Tier Python Developers for Hire

Hire Python Developers - ScienceSoft

ScienceSoft offers the services of Python developers and data scientists with 3-15 years of experience who ensure first-time-right code, on-time delivery, and high productivity. Our flexible services stretch from filling specific Python skill gaps to providing self-managed Python development teams.

Why Partner Up with ScienceSoft to Hire Python Developers

Our Python highlights

  • 9 years in Python development.
  • 33 years in data analytics and data science.
  • 50+ successfully implemented Python projects.
  • ~ 27 Python engineers for hire.
  • 2 days – 2 weeks ramp-up time.
  • Proficiency in Agile methodologies (Scrum, Kanban, etc.): major releases every 2-6 weeks, minor updates up to several times a day.
  • $38-$50 hourly rates.

Our corporate highlights

  • 33 years in software development.
  • 450+ developers and 700+ employees on board.
  • Over 3,300 projects in the portfolio.
  • Established software development, project management, and code quality assurance processes.
  • 10 years of developing complex cloud applications.
  • Certified Scrum Masters in-house.
  • HQ – McKinney, Texas. Offshore development centers in Europe. Representative offices in the UAE, EU, and Georgia (US state).

The Financial Times Includes ScienceSoft USA Corporation in the List of Americas’ Fastest-Growing Companies 2022

ScienceSoft is one of 500 companies with the highest compound annual growth rate in revenue. This achievement is a result of our unfailing commitment to provide high-quality IT services and find best-value solutions to clients' needs.

Our Development Skills

ML, deep learning in Python

Databases / data storages

Cloud databases, warehouses and storage

Google Cloud Platform

Content management systems (CMS)

Front-end programming languages

Languages

JavaScript frameworks

Angular JS
Practice
Practice 13 years
Workforce
Workforce 100+

ScienceSoft leverages code reusability Angular is notable for to create large-scale apps. We chose Angular for a banking app with 3M+ users.

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React JS
Workforce
Workforce 80+

ScienceSoft achieves 20–50% faster React development and 50–90% fewer front-end performance issues due to smart implementation of reusable components and strict adherence to coding best practices.

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You can learn more about our approach to the development process – agile development steps, DevOps practices, modular architecture design, and more.

ScienceSoft’s Six-step Hiring Process

Thanks to its comprehensive 6-step hiring procedure, ScienceSoft welcomes only the most skilled and extremely productive engineers on board.

  1. Careful CV scanning.
  2. HR specialist's interview.
  3. Test task 1 (soft skills).
  4. PM's/Team Lead's interview.
  5. Test task 2 (hard skills).
  6. CTO's interview.

The competition for ScienceSoft Python developer roles is always very high (50+ applicants per position) and we always take our time to hire only the most skilled candidates. This way, we guarantee that our engineers will deliver the level of services that represents ScienceSoft as a brand.

A Sample Profile of Our Senior Python Developer

Michael, Senior Python Developer

Experience in Python: 8+ years

Summary

Pro coder in Python with a solid knowledge of C#, Java, PHP, JavaScript. Skilled in Python development, code audit and integration. Strives to find simple solutions to complex problems.

Achievements

5 successfully completed 1-4 year long Python projects.

Major projects

  • Development of a CMS solution with an advanced reporting module that had a complex AWS infrastructure to host hundreds of sites for various customers and was integrated with 8 different payment providers.

Technologies: Python 3.6, Flask, SQLAlchemy, MySQL, Alembic, Redis, AngularJS, AWS, Docker, Celery

  • Code review and refactoring of a cybersecurity tool, implementation of RESTful APIs to integrate the tool with third-party systems.

Technologies: Python 3.8, Flask, FastAPI, PostgreSQL, Citus, SQLAlchemy

  • End-to-end development of complex clinical decision support software for oncologists that interprets raw data (patient test results, literature-, practice-, patient-directed evidence, etc.) and delivers interactive reports, including reports on drug efficacy and compatibility for each patient.

Technologies: Python 2.7, JavaScript, Pylons, Ext JS, D3.js, Memcached, Oracle

Hard skills

  • Programming languages: Python, C#, Java, PHP, JavaScript.
  • Designing, implementing, and maintaining (including troubleshooting) cloud-ready and cloud-hosted back-end applications, databases, and API gateways.
  • Developing reusable, testable, and efficient code based on the requirements provided.
  • Integrating front-end elements with server-side logic.
  • Integrating Python software with third-party APIs.
  • Dockerizing Python code, adding monitoring and alerting your services.
  • Implementing and maintaining microservices and message bus systems using Kubernetes.
  • Strong unit test and debugging skills.
  • Conducting code reviews.
  • Solid understanding of AWS services.
  • Experienced use of Git.
  • Contributing to CI/CD setup.

Soft skills

  • Actively taking initiative, especially in stressful and problematic work situations.
  • Organized, logical presentation of ideas.
  • Disciplined, attentive to detail.
  • Highly adaptable to a new environment: quickly responding to changes in responsibilities and working processes.
  • Involved team-player.

Development methodologies and practices:

Agile methodologies (Scrum, Kanban, XP), Iterative, Waterfall, DevOps.

Education:

Bachelor in Computer Science.

How Fast Our Python Programmers Deliver Typical Features

New user sign up/onboarding, log in and managing personal account details 4 hours

Online payment confirmation email – 8 hours

Essential functionality for processing online payments – 16 hours

What We Mean by Quality Python Code

Rules and guidelines we follow

  • Style guide for Python code.
  • Commenting complex code parts.
  • Conducting regular unit tests.
  • Breaking up code into smaller logical units.
  • Documenting what code (as a whole) does and what its dependencies are in a final README doc.
  • Using version control.
  • Using source code management (SCM) systems.

How we track quality

Code review practices

  • Ad hoc review.
  • Peer review.
  • Walkthrough.
  • Inspection.

Code quality metrics

  • Maintainability index (MI).
  • Cyclomatic Complexity (CC).

An Example of Our Python Code

An example of our Python code - ScienceSoft

Types of Applications Our Developers Build

Back-end programming

Back-end programming:

  • Data-intensive web applications.
  • Database interactions.
  • APIs.

Data analysis

Data analysis:

  • Custom-made statistical models.
  • Dashboards and reporting solutions.

Test automation

Test automation

Machine learning

Machine learning:

  • Demand forecasting systems
  • Customer segmentation and customer behavior prediction systems
  • Product/service recommendation engines,
  • Financial risk evaluation, fraud detection systems
  • Predictive maintenance systems

IoT development

IoT development:

  • Data warehouse design and engineering.
  • Data analytics implementation.
  • Development of control apps.
  • Web and mobile application development.
  • API design and provisioning

 

Our Featured Python Projects

Development of a Pet Tracking Solution

  • Software to power a wearable pet tracker that enables two-way voice communication and nationwide GPS tracking and snapshotting of the surroundings with a 2-megapixel camera.
  • The back end and two client apps for iOS and Android to manage the animal tracking devices.
  • The solution was developed from scratch in 4 months.

Technologies: Python, Android SDK, iOS 9 SDK.

SaaS Application Re-Architecture and Modernization for a Pharma-Focused Advertiser

  • Legacy code audit.
  • Cleaning up revealed code and design issues to improve software maintainability and evolution.
  • Adoption of multi-tenant architecture.

Technologies: Python 3.6, Flask, Redis, PostgreSQL, Elasticsearch, AWS Elastic Beanstalk.

Implementation of a Data Analytics Platform for a Telecom Company

  • Gathering raw data from 10+ sources.
  • ROLAP cubes with 30+ dimensions and 10+ facts to enable regular and ad-hoc reporting.
  • Multi-tenant architecture.
  • Using Amazon Spot Instances to reduce the costs of AWS computing resources by 80%.

Technologies: Python, Apache Kafka for data streaming, Amazon Simple Storage Service for persistent storage used for a data landing zone, Amazon Redshift as a data warehouse, MQTT.

Modernization of Image Quality Assessment Software

  • Delivered Python script to automate several image quality assessment software modules and allow for a new camera’s testing without human intervention.
  • Optimized some of the existing algorithms in the automated software modules, thus streamlining the processing of measurement data and reducing the overall assessment time for one camera.

Technologies: Python, C++, C#.

Complete Your Project with Python Experts

You can hire Python developers and data scientists from ScienceSoft to address a wide set of needs:

  • Python code audit, refactoring and re-architecting.
  • Python framework selection, Python app architecture design.
  • Custom software and product development in Python, support of Python applications.
  • Using Python for data analysis and reporting.

How to Hire Python Developers from ScienceSoft

Initial Request

Details

You send us a request, specifying the number of Python experts you need, their desired level of experience, as well as the model of cooperation you're interested in.

CV Scanning

Details

ScienceSoft performs preliminary scanning of our experts' CVs in the database and sends you the most relevant ones.

Interview Scheduling

Details

You choose the CVs you're most interested in and let us know the time you're available for interviewing candidates.

Interviews

Details

We help arrange the interviews with our Python developers within 1-2 days.

SLA Preparation

Details

After you confirm the experts' competence, ScienceSoft works with you to compose a service level agreement (SLA).

Onboarding

Details

Once you sign, the experts (lead by ScienceSoft’s or your PM – you decide) immediately start working on your project.

How We Ensure Quick Development and Predictable Cooperation

Onboarding within 2-3 weeks.

Prompt scaling/replacing resources on request.

Trained to work with tight schedules.

Offering for hire only developers who completed at least 2 Python-based projects.

Continuously monitored resources’ productivity and access to logging tools (Jira, Trello, Confluence) provided to all customers for project progress tracking,

See more about monitoring team’s productivity

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In-House vs. Outsourced Python Developers: What's the Difference?

Outsourced developers

In-house developers

Team augmentation with Python programmers

Fill in specific Python resource and skill gaps in your dev project team.

Hire developers

A dedicated Python team

Get a complete team of Python developers managed by our Team Lead to work on a Python-based project or a dedicated project part.

Hire a team

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