Data Scientist - (M / F)

MyTraffic; Paris; Hybride; EUR 45 000 - 65 000; Plein temps

Résumé du poste

Join a dynamic scale-up as a Data Scientist, where you'll leverage extensive spatial datasets to provide insights for clients. You will design predictive models, analyze consumer behavior, and collaborate with cross-functional teams to solve real-world business problems. This role offers growth opportunities in an innovative environment with flexible work arrangements.

Prestations

Support for growth and skills development

Impactful work influencing client strategies

Innovative environment fostering creativity

Flexible work arrangements, including remote days

Qualifications

• 3+ years of experience in data science, excluding internships.
• Proficiency in Python and experience with data analysis projects.

Responsabilités

• Designing and maintaining predictive models for real-time predictions.
• Analyzing large spatial databases to understand consumer behavior.
• Collaborating with business teams and other data scientists.

Connaissances

Data Processing

Modeling

Analytical Thinking

Communication

Python

SQL

Formation

BS or MS in Computer Science

Engineering

Mathematics

Statistics

Physics

Outils

Pandas

scikit-learn

Flask

Jupyter

Description du poste

We empower the physical world with the capabilities of digital technology.

MyTraffic is a platform that helps organizations make better, more accurate, and more reliable investment decisions for their physical locations.

Started in France in 2016, MyTraffic's mission is to empower commerce professionals with the best location analytics and insights to be smarter every day and design the best experiences in physical locations.

We already serve more than 500 customers across various sectors (Retail, Real Estate, Consulting, Cities) throughout Europe, helping them expand their businesses, analyze or predict investment performance, understand customer habits, and benchmark against competitors. MyTraffic is experiencing rapid growth (+110% per year), supported by a €30 million Series B funding round with Axa Venture Partners, Alven, and Kernel Investissements in November 2022 for European expansion.

In January 2024, MyTraffic announced the strategic acquisition of Spanish startup Geoblink, becoming Europe's leading location intelligence platform.

Job Description :

As a Data Scientist at MyTraffic, you will be responsible for answering vital business questions for our clients based on data.

Our platform relies on extensive spatial datasets to model urban behavior, aiding decisions such as: where are competitors located? What is the best site for a new location? Which features influence sales? Is a point of sale underperforming or overperforming?

We utilize internal data directly from clients and external data processed internally from various sources to deliver descriptive, predictive, and prescriptive analytics, helping clients understand current situations, forecast impacts, and optimize decisions for revenue maximization.

Our technology stack heavily relies on Python, including data analysis tools (Pandas, Matplotlib, Seaborn, Plotnine, Jupyter), machine learning frameworks (scikit-learn, LIME), and development libraries (Flask, Pytest).

About our team :

You will join the Predictive Analytics team, focused on deriving insights from data to answer key business questions.

Typical responsibilities include:

1. Designing, developing, monitoring, and maintaining explanatory and predictive models, integrating them into production environments for real-time predictions.
2. Analyzing large spatial databases to understand consumer behavior across industries such as retail, real estate, FMCG, and e-mobility.
3. Loading and extracting data from datalakes and databases to support clients or generate reports.
4. Collaborating closely with Business teams, Customer Success, other Data Scientists, and Software Engineers to develop optimal solutions.

About you :

We seek a Data Scientist with at least 3 years of experience (excluding internships), passionate about data processing and modeling to solve real-world problems.

You will be a key contact for clients, helping determine how to solve business problems with existing or additional data.

Additional desired skills include :

• A BS or MS in Computer Science, Engineering, Mathematics, Statistics, Physics, or related fields with solid technical foundations.
• Excellent communication skills in English and French, especially in explaining complex analyses to non-technical stakeholders.
• Strong analytical and critical thinking skills to approach complex problems logically.
• Proficiency in Python, including writing functions and classes, and willingness to learn best practices.
• Experience with Python libraries like Pandas and scikit-learn for data analysis.
• Good understanding of machine learning algorithms such as k-NN, SVM, Decision Trees, Random Forests, XGBoost, and when to apply them.
• Knowledge of statistics, probability, and statistical testing.
• Experience with SQL and relational databases.
• Experience in data analysis projects.
• Familiarity with Linux and command-line interfaces.
• Ability to balance project constraints with desired outcomes.
• A passion for your work and commitment to quality.

Extra points if you have :

• Client-facing experience.
• Fluency or understanding of German.
• Experience with cloud platforms (AWS, GCP).
• Experience with distributed databases like Google BigQuery.
• Experience with spatial data, GIS, or mobility data.
• Knowledge of Python packaging and testing (PEP8, Pytest).

What we offer :

Joining our scale-up means :

Support for your growth and skills development.

Impactful work influencing client strategies.

An innovative environment fostering creativity and ambition.

Flexible work arrangements, including two remote days per week.

The Recruitment Process :

30 min with Talent Acquisition

30 min with your future manager, Clara

Technical assessment with team members

30 min with Antoine, Head of Professional Services & Predictive Analytics