Vacancy – Full Stack React Software Engineer – Intermediate – Fully Remote – Exp 25-01-31

Full-Stack Software Engineer (TypeScript/React) – Intermediate

 

(Fully Remote, Contractor, Renewable)

 

About Our Client

Our global client builds cutting-edge data analytics applications that provide transformative insights to clients worldwide. Their solutions address the toughest industry challenges while maximizing computational efficiency, running seamlessly both locally and in the cloud, across multi-gigabyte datasets.

Role Overview

We’re looking for a talented Full-Stack Software Engineer to join a dynamic team. You’ll work on performance optimization and resource management, often collaborating closely with DevOps on cloud configurations, testing, and deployments. As an ideal candidate, you’ll demonstrate a passion for coding and an ability to learn quickly.

Key Requirements

  • Minimum 2 years of production or proven open-source experience
  • Strong expertise in TypeScript, React, and NodeJS
  • Solid understanding of Package Management (NPM/Yarn)
  • Proficient in Git Fundamentals
  • Proficient English (Reading/Writing/Speaking)
  • Quick to learn and understand complex topics

Desirable Skills

  • Familiarity with Storybook, Zeplin, AntD, TailWind, SASS, LESS
  • Understanding of asynchronous/multi-process/multi-threaded coding
  • Degree in STEM, Economics, or Finance (BSc, MSc, PhD)
  • Background in Data Science or Data Engineering
  • Experience with JupyterLab development and IPyWidgets/IPyKernel
  • Knowledge of Linux and Bash scripting
  • Experience with DevSecOps (OWASP, AWS, Azure, Docker, CI/CD, GitHub)
  • Understanding of software architecture and design principles (DRY & SOLID)
  • Redux experience

What We Offer

  • Fully remote working
  • Friendly, English-speaking international team
  • Highly competitive salary
  • Amazing opportunities for personal growth and mentoring

How to Apply

Please send your CV along with a cover letter to cv@datasciencescout.com
Include “Full-Stack Software Engineer – Intermediate (250131)” in the subject line.
Note: Applications without a cover letter will not be considered.
Deadline: 31st January 2025

Submit your Cover Letter & C.V.

Vacancy – Senior Software Engineer (Python Fullstack) – Fully Remote – Exp 25-01-31

Senior Software Engineer (Python / Full Stack) – Data Analytics Applications

Location: Fully Remote
Contract: 12-Month Renewable Contract

About Our Client

Our global client stands at the forefront of data analytics, delivering cutting-edge modeling applications that empower organizations to extract vital, mission-critical insights from their data. Their innovative solutions address the industry’s most complex challenges, optimizing computational resources for seamless performance across both local and cloud environments, and efficiently handling multi-gigabyte datasets with ease.

Role Overview

Are you a passionate and highly skilled Senior Python Software Engineer looking to make a significant impact in the data analytics domain? Join our client’s dynamic team and play a pivotal role in developing performance-driven applications. Collaborate closely with DevSecOps to optimize resources and take full ownership of projects, ensuring their successful and timely completion. This is an excellent opportunity to advance your career in a supportive, remote work environment.

Key Responsibilities

  • Application Development: Design, develop, and maintain high-performance data analytics applications using Python and full-stack technologies.
  • Collaboration: Work closely with DevSecOps teams to optimize resource usage and ensure seamless deployment across cloud and local environments.
  • Project Ownership: Take full ownership of software projects from inception to deployment, ensuring timely delivery and adherence to quality standards.
  • Environment Management: Build and maintain development environments using Conda and Poetry, ensuring consistency and reliability across projects.
  • Code Quality: Implement best practices in software architecture and design principles (DRY & SOLID) to produce clean, efficient, and maintainable code.
  • Performance Optimization: Identify and resolve performance bottlenecks, ensuring applications run smoothly and efficiently.
  • Continuous Improvement: Stay updated with the latest industry trends and technologies to continuously enhance application functionality and performance.

Required Skills and Qualifications

  • Experience:
    • 4+ years of experience in production or open-source projects.
  • Technical Proficiency:
    • Python: Proven expertise in Python, including libraries such as Pandas and NumPy.
    • Environment Management: Experience in building and maintaining environments using Conda; familiarity with Poetry is a plus.
    • Cloud Technologies: Demonstrated experience in cloud application deployment and hosting.
  • Language Skills:
    • Proficient in English (IELTS 6+ or equivalent).
  • Soft Skills:
    • Strong problem-solving mindset with the ability to think critically and innovatively.
    • Self-motivated and able to work independently as well as collaboratively within a team.
    • Excellent communication skills, both written and verbal.
    • Conscientious and tenacious attitude to see projects through to completion.
    • Quick learner with the ability to grasp complex topics and adapt to new challenges rapidly.

Desirable Skills

  • Data Expertise:
    • Background in Data Science, Data Engineering, or Data Analytics.
  • Technical Skills:
    • Familiarity with IPyWidgets, IPyKernel, and the JupyterLab plugin ecosystem.
    • Working knowledge of TypeScript and React for full-stack development.
    • Proficiency in Linux and Bash scripting.
    • Experience with asynchronous, multi-process, or multi-threaded coding.
  • Educational Background:
    • Degree in STEM, Economics, or Finance (BSc, MSc, PhD preferred).
  • Software Architecture:
    • Understanding of software architecture and design principles, including DRY (Don’t Repeat Yourself) and SOLID principles.

What We Offer

  • Remote Work: Enjoy the flexibility and convenience of fully remote working arrangements.
  • International Team: Collaborate with a friendly, English-speaking international team of professionals.
  • Competitive Compensation: Receive a highly competitive salary package that reflects your skills and experience.
  • Career Development: Access exciting opportunities for personal growth, continuous learning, and mentorship.
  • Flexible Contract: 12-month renewable contract with the potential for long-term collaboration based on performance and project needs.

How to Apply

Interested candidates are invited to submit their applications along with a detailed cover letter to cv@datasciencescout.com.

  • Subject Line: Senior Software Engineer (Python / Full Stack) (250131)
  • Deadline: 31 January 2025
  • Note: Applications submitted without a cover letter will not be considered.

Join our client’s team and leverage your expertise in Python and full-stack development to build innovative data analytics applications that drive impactful business decisions!

Submit your C.V and Cover Letter here

Vacancy – Data Validation Analyst – All Levels – Fully Remote – Exp 25-01-31

Data Validation Analyst (Market Mix Modelling)

 

(Remote, Renewable Contract)

 

About Our Client

Our global client builds cutting-edge data analytics applications that provide transformative insights to clients worldwide. Their solutions address the toughest industry challenges while maximizing computational efficiency, running seamlessly both locally and in the cloud, across multi-gigabyte datasets.

Role Overview

Are you an analytical, detail-oriented individual with a background in data validation and market mix modelling? Our client has an exciting opportunity for you!

We’re seeking a Data Validation Analyst to ensure the accuracy and integrity of data used in market mix modelling. You will be responsible for verifying the quality and completeness of data, as well as identifying and correcting errors or inconsistencies.

The ideal candidate will have strong experience with statistical analysis, market mix modelling techniques, and attention to detail. Proficiency in Excel, SQL, Pandas, and data visualization tools is a plus.

Key Requirements

  • Strong skills in data cleansing, validation, and charting
  • Excellent analytical skills
  • Experience in creating professional, client-ready analytics PowerPoint decks
  • Proficient English (Reading/Writing/Speaking)
  • Soft skills: flexible problem solving, self-motivation, teamwork, excellent communication, conscientious, and a tenacious attitude
  • Ability to collaborate, learn quickly, and grasp complex topics

Desirable Skills

  • Knowledge of Econometric Modelling, especially Market Mix Modelling (MMM)
  • Degree in STEM, Economics, Statistics, or Business Analytics (BSc, MSc, PhD)
  • Coding experience in Python and familiarity with programming principles

What We Offer

  • Fully remote working
  • Friendly, English-speaking international team
  • Highly competitive salary
  • Excellent opportunities for self-development and mentoring

How to Apply

Please submit your CV and cover letter to cv@datasciencescout.com
Include “Data Validation Analyst (250131)” in the subject line.
Note: Applications without a cover letter will not be considered.
Deadline: 31st January 2025

Submit your Cover Letter & C.V.

Vacancy – Data Analyst (Marketing Mix Modelling) – All Levels – Fully Remote – Exp 25-01-31

Data Analyst – Marketing Mix Modelling (Statistics / Econometrics / Python)

 

(Fully Remote Working, Renewable Contract)

 

About Our Client

Our client is a premier provider of comprehensive data analytics and software engineering services. With an international team of highly skilled analysts and engineers, they empower global clients to solve the most challenging problems in the industry, delivering data-driven solutions that drive success and innovation.

About the Position

Are you passionate about leveraging data to drive impactful marketing strategies? Join our client’s dynamic team as a Data Analyst specializing in Marketing Mix Modelling (MMM). In this role, you will engage in the entire analytics lifecycle—from data collection and processing to model development and insights generation. Collaborate with a team of experts to tackle complex econometric challenges and contribute to optimizing marketing effectiveness for leading global brands.

Key Responsibilities

  • Develop and Implement MMM Models: Design, build, and refine Marketing Mix Models to assess the effectiveness of various marketing channels and campaigns.
  • Data Analysis and Interpretation: Analyze complex datasets to derive actionable insights that inform marketing strategies and budget allocation.
  • Collaborate with Cross-Functional Teams: Work closely with marketing, finance, and product teams to integrate MMM insights into broader business strategies.
  • Optimize Marketing Spend: Provide data-driven recommendations to optimize media spend and maximize ROI across different marketing channels.
  • Report and Present Findings: Create comprehensive reports and present model results and insights to stakeholders in a clear and concise manner.
  • Continuous Improvement: Stay updated with the latest MMM methodologies and industry best practices to enhance modeling techniques and analytical approaches.

Required Skills and Qualifications

  • Educational Background:
    • BSc./MSc./PhD in Statistics, Econometrics, Mathematics, Economics, Finance, or a related STEM field.
  • Technical Proficiency:
    • Python: Strong coding skills with proficiency in Python, including experience with libraries such as NumPy and Pandas.
    • Econometric Modeling: Extensive experience with Marketing Mix Modelling (MMM) and other econometric modeling techniques.
    • Statistics: Solid understanding of Probability, Statistics, and Bayesian Statistics.
  • Analytical Skills:
    • Exceptional ability to analyze complex data sets and develop insightful, actionable models.
  • Language Skills:
    • Proficient in English (reading, writing, speaking).
  • Soft Skills:
    • Excellent problem-solving abilities with a flexible and innovative mindset.
    • Self-motivated, with the ability to work independently and collaboratively within a team.
    • Strong communication skills, both written and verbal.
    • Conscientious, detail-oriented, and tenacious in tackling challenges.
    • Quick learner with the ability to grasp complex topics and structures rapidly.

Preferred Skills

  • Advanced Statistical Techniques:
    • In-depth knowledge of Bayesian Statistics and its application in MMM.
  • Data Engineering Tools:
    • Experience with Snowflake, Apache Airflow, Apache NiFi, and CloverDX.
  • Optimization:
    • Understanding of code and resource optimization techniques to enhance model performance.
  • Visualization Tools:
    • Familiarity with visualization tools such as Tableau or Power BI to effectively communicate insights.
  • Additional Analytical Techniques:
    • Experience with A/B testing, attribution modeling, and other advanced marketing analytics methodologies.

What We Offer

  • Remote Work: Enjoy the flexibility and convenience of fully remote working arrangements.
  • International Team: Collaborate with a friendly, English-speaking international team of professionals.
  • Competitive Compensation: Receive a highly competitive salary package that reflects your skills and experience.
  • Career Development: Access incredible opportunities for self-development, continuous learning, and mentorship.
  • Flexible Contract: Renewable contract with potential for long-term collaboration based on performance and project needs.

Application Process

Interested candidates are invited to submit their applications with a detailed cover letter to cv@datasciencescout.com.

  • Subject Line: Data Analyst (250131)
  • Deadline: 31 January 2025
  • Note: Applications submitted without a cover letter will not be considered.

Join our client’s team and leverage your expertise in Marketing Mix Modelling to drive impactful marketing strategies for leading global brands!

Submit your Cover Letter & C.V.