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Description de l’offre d’emploi

Job offer description

Workplace: France, Lille / Strasbourg (Partial remote work possible)
Education level: University studies (Master or equivalent experience)
Type of position: Full-time
Number of positions: 2

Your role

As a Data Analyst, you will be integrated into client teams to drive advanced forecasting and segmentation initiatives, supporting strategic data-driven decisions.

You will work on projects such as the Data Decathlon Challenge, tackling topics like:

  • Multi-horizon forecasting and segmented time series predictions
  • Smart segmentation of training data
  • Modeling strategies tailored to low-frequency, intermittent sales (e.g. “low-sellers”)
  • Forecasting at new geographic scales (Country – Supply Zone)
  • Incremental learning of forecasting models
  • Probabilistic forecasting (distribution modeling, prediction intervals)

Your responsibilities will include:

  • Building robust data pipelines using Spark / PySpark
  • Developing and validating machine learning models for time series forecasting
  • Working with Databricks and AWS for scalable data processing
  • Analyzing large-scale datasets to extract actionable insights
  • Collaborating with business teams to translate requirements into analytical solutions
  • Presenting findings in a clear, visual, and business-impacting way
Exigences professionnelles

Job requirements

  • Master’s degree in Data Science, Statistics, Computer Science, or equivalent
  • 4 to 5 years of experience as a Data Analyst or Data Scientist
  • Strong skills in Python and Spark / PySpark
  • Experience with Databricks and AWS Cloud Services
  • Solid understanding of machine learning techniques, especially in forecasting
  • Familiarity with segmentation and time series analysis techniques
  • Experience with probabilistic and incremental learning approaches is a strong plus
  • Good communication and data storytelling skills
Atout

What will make the difference

  • Proactive mindset and attention to data quality
  • Strong analytical thinking and problem-solving skills
  • Passion for innovation and continuous learning
  • Ability to work both independently and within cross-functional teams
  • Enthusiasm for solving complex, high-impact forecasting challenges

    Job details
  • Sector: Data science, analytics, and consulting
    Occupation field: Data Analytics, Forecasting, Machine Learning
    Education field: Data Science, Statistics, Applied Mathematics
    Work experience: Required (4 to 5 years)
    Language skills:
  • English – Fluent
  • French – C1/C2
    Salary range: €35,000 to €50,000 gross/year depending on profile
    Start date: As soon as possible
    Contract: Permanent (CDI)
    Remote work: Partial remote possible
    Inclusivity: Open to candidates with disabilities
Avantages

Benefits

Classic advantages:

  • 50% coverage of your health insurance
  • 50% reimbursement of public transportation pass

What makes us unique:

  • Modern and secure offices, accessible by public transport or with parking available
  • The opportunity to work for a market leader
  • A stable leadership team (75% of managers have been with the group for over 20 years)
  • A profitable and consistently growing company
  • Meal vouchers (€9.50 per day, 60% employer contribution)
  • Referral bonuses up to €1,000
  • A structured onboarding program lasting 2 to 6 weeks
  • A company social committee (CSE) offering numerous cultural benefits
  • An in-house training institute to support your skill development
  • A mobility partner to assist with professional relocations or commuting
  • A close-knit, committed, and ambitious team

All our positions are open to candidates with disabilities.

 

Informations détaillées relatives à ce poste
Secteur professionnel:
Domaine d’enseignement:
Expérience professionnelle:
Work experience is required
Durée de l’expérience professionnelle:
Between 2 and 5 years
Compétences linguistiques:
  • French
  • Very good
  • English
  • Fluent
Fourchette salariale (Mensuellement):
2900 - 4165 EUR (Gross pay)
Date of expiry:

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