Junior Data Scientist - Internship

Job summary
Internship(6 months)
Paris
Salary: €669 to 1,000 a month
Starting date: September 01, 2024
No remote work
Experience: > 6 months
Education: Master's Degree
Skills & expertise
Generated content
Data analysis
Agile methodologies
Communication skills
Javascript
Excel
+7

ModaResa
ModaResa

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Questions and answers about the job

The position

Job description

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We are looking for a dynamic and innovative Junior Data Scientist to join our rapidly expanding B2B SaaS company within the Fashion-Technology sector. This position presents the chance to collaborate with a diverse team of dedicated professionals who are committed to utilizing data for driving business growth.

As a Junior Data Scientist, you will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

As a Junior Data Scientist at ModaResa, you will play a pivotal role in initiating, crafting and executing data-driven solutions that align with our business goals and enrich our product portfolio.

You will be part of an A-player team in an inspiring working environment, all driven by a common goal: building the go-to ecosystem for optimised and sustainable scheduling across suppliers/brands and retailers/buyers worldwide across B2B wholesale.)

Mission:

Main Missions :

DATA

  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.

  • Interpret data, analyze results using statistical techniques and provide ongoing reports

  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

  • Acquire data from primary or secondary data sources and maintain databases/data systems

  • Identify, analyze, and interpret trends or patterns in complex data sets

  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

  • Work with management to prioritize business and information needs

  • Locate and define new process improvement opportunities

  • Contribute ideas on how to make our customers’ data more valuable

OPTIMIZATION

  • Design and implement a bespoke algorithm to address the traveling Salesman/Buyer problem, aiming to minimize costs and time spent between locations.

  • Conduct thorough analysis of location data to optimize delivery routes, employing geolocation techniques to enhance travel efficiency.

  • Utilize simulations to assess diverse route scenarios, leveraging modeling tools to forecast performance and identify optimal strategies.

  • Collaborate closely with the IT team and management to seamlessly integrate optimization solutions into existing systems, ensuring effective implementation.

  • Engage with the tech team to determine optimal approaches for data ingestion, structuring, and storage, and oversee accurate implementation.

  • Leverage information literacy skills across various scenarios to locate, evaluate, organize, and communicate data effectively in support of data-driven decision-making.

We offer

  • Enter at an early stage in a key role for a product with demonstrated high traction and successful execution

  • See how your work has a direct impact on an extremely archaic and analog industry

  • Work from LVMH’s accelerator at Station F in Paris or remote work possible + remote team retreats in cool places.

  • Salary + ESOP package depending on profile


Preferred experience

This must speak to you

  • You are a reliable, trustworthy and inspiring team player never satisfied with the status quo

  • You are known for your tenacity, high standards and respect towards fellow team members

  • You are a professional who delivers regularly code that is tested and easily maintainable

  • You truly thrive in a fast-paced, analytical but informal environment

  • You tend towards growing at company rather than changing jobs often

  • You are used to working with an agile framework/lean/kanban methodology

Skills/Experience

  • Actively enrolled in an accredited Computer Science, Data Science, Software Engineering, Mathematics, Statistics or related Undergraduate program

  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks), Google for Developers (OR-Tools) or Gurobi

  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

  • Experience with cloud services (Azure, Google Cloud, AWS) and understanding of distributed computing principles.

  • Technical expertise egarding data models, database design development, data mining and segmentation techniques

  • Excellent written and verbal communication skills for coordinating across teams.

  • A drive to learn and master new technologies and techniques.

  • Bonus : A thesis / PhD around constraint programming or any topics close to scheduling optimization


Recruitment process

  1. We first get to know you through your written introduction stating why you believe we could be a good mutual fit!

    In the same go, we asses your video, along with your CV and portfolio if relevant to your role.

  2. If we want to explore further, we send you a fun home personality test and invite your for a first short introductory culture fit call over google meet (30 minutes)

  3. Home case study (3H).

  4. Live test and assessment of your home test. (45 min)

  5. Reference checks from past professional experiences.

  6. 1 hour in-depth interview on your past professional experience in-person (1H).

  7. Last culture fit interview with founder in person in Paris. (30-45 min).

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