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Analytical Data Scientist

Hubcycle

Gaspésie–Îles-de-la-Madeleine

Hybrid

CAD 72,000 - 81,000

Full time

Yesterday
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Job summary

A growing start-up in the circular economy is looking for an Analytical Data Scientist to support business performance through data analysis and predictive modeling. Responsibilities include analyzing complex datasets, defining KPIs, and maintaining dashboards. The ideal candidate has at least 5 years of experience, strong skills in SQL, Python, and data visualization tools such as Power BI or Tableau. This role offers a competitive salary between €45k to €50k annually, with the opportunity for remote work two days a week after the initial month.

Benefits

Attractive bonus scheme
Work from home 2 days/week after first month

Qualifications

  • At least 5 years of experience in a similar role.
  • Ability to explain product technicity and specificities to different stakeholders.
  • Curiosity to hunt for data and market info to support decision making.

Responsibilities

  • Analyzing large and complex datasets to produce actionable insights.
  • Defining and maintaining dashboards, KPIs, and reports.
  • Developing and validating predictive models.

Skills

SQL
Python
API
Power BI
Tableau
Metabase
Interpersonal skills
Customer service skills
Job description

At Hubcycle, we have one simple mission: to create value where others don’t see it.

Analytical Data Scientist

As our new Analytical Data Scientist, your role will be critical in supporting this mission and enhancing our performance across existing and new markets.

By combining strong analytical skills with data science expertise, you will bridge the gap between descriptive analytics and predictive modeling. You will work closely with business stakeholders to analyze data, generate insights, and build advanced analytical models that support decision‑making and business performance.

On a day‑to‑day basis, your role and responsibilities will include:
  • Analyzing large and complex datasets to produce actionable insights and business recommendations
  • Defining, building, and maintaining dashboards, KPIs, and automated reports
  • Performing advanced analytics, including statistical analysis and exploratory data analysis (EDA)
  • Developing and validating predictive and explanatory models (regression, classification, clustering, time series)
  • Translating business questions into analytical and data science use cases
  • Conducting feature engineering and data preparation for modeling
  • Communicating insights and model results clearly to both technical and non‑technical stakeholders
  • Ensuring data availability, consistency, and quality
  • Running experiments, A/B testing, and performance measurement initiatives
The team around you

Reporting to the Chief of Staff, you will be our first “tech profile.” Benefiting from the support of our ERP Manager, you will evolve alongside our on‑site team. Learning from category and operations experts, you will gain a deep understanding of our business model’s specificities and be involved in the development of strategic projects, while maintaining the company’s fast‑paced growth.

Profil Recherché
Who You Are
  • You like challenges and aim high!
  • Flexible and agile, you know what it takes to be part of a Start‑Up, an ever changing environment.
  • Autonomous, dedicated, humble, rigorous, proactive, details oriented. You know how to prioritize and “cut the crap.”
  • You’re efficient & business oriented - no BS, just solutions.
  • Team player AND lone wolf: you own your projects but ask for help when needed.
  • You are known for your interpersonal and customer service skills, even in highly stressful situations.
Must‑Haves
  • At least 5 years of experience in a similar role.
  • Technically: SQL, Python, API, etc., if you know, you know!
  • Power BI, Tableau, Preset or Metabase. You know which ones are good, which ones are to avoid.
  • French or English. No problem, you master both of them.
  • Ability to explain product technicity and specificities to different stakeholders.
  • Curiosity to hunt for data and market info to support decision making and business opportunities.
Nice‑to‑Haves
  • You have a “circular economy mindset.”
  • You already developed Data Tools and/or tailored existing ones.
You embody our core values
  • Discernment
  • Boldness
  • Dedication to performance
  • Communication
  • Collaboration
  • Pragmatism
  • Integrity
Salary and conditions
  • Contract: Permanent Full‑time
  • Status: Cadre
  • Workplace: Avignon (South)
  • Work from home: 2 days/week after the first month
  • Salary: from 45k€ to 50k€ gross / Year + attractive bonus scheme
  • Start ASAP
Process
  • Interview with our Talent Acquisition Manager
  • Interview “Deep Dive” with the Tech Team and Manager
  • Technical study case
  • On‑Site case presentation + Culture fit meeting with Manager.
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