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2,300

Data Scientist Junior jobs in France

Senior Data Engineer - Delivery team

Senior Data Engineer - Delivery team
Overstory
Paris
EUR 45,000 - 80,000
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Applied Data Scientist

Applied Data Scientist
Coface
Paris
EUR 45,000 - 75,000

Applied Data Scientist (F / M)

Applied Data Scientist (F / M)
Alstom
Paris
EUR 100,000 - 125,000

Data Analyst All Genders

Data Analyst All Genders
Colgate-Palmolive Company
Paris
EUR 60,000 - 80,000

Analyste des données personnelles (H / F) - Alternance

Analyste des données personnelles (H / F) - Alternance
PIMCO Prime Real Estate GmbH – France Br
Paris
EUR 40,000 - 60,000
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Senior Data Analyst

Senior Data Analyst
Didomi
Paris
EUR 40,000 - 80,000

Data Scientist (EN, FR, IT required)

Data Scientist (EN, FR, IT required)
Publicis Groupe Holdings B.V
Paris
EUR 100,000 - 125,000

Chargé(e) d’analyse et d’expertise / Data Engineer / Data Scientist

Chargé(e) d’analyse et d’expertise / Data Engineer / Data Scientist
Santé publique France
Saint-Maurice
EUR 80,000 - 100,000
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Data Scientist H / F

Data Scientist H / F
VINCI Group
Paris
EUR 45,000 - 75,000

Data Scientist – Paiement & Cash Management (IT) / Freelance

Data Scientist – Paiement & Cash Management (IT) / Freelance
Mairie de Drancy
Paris
EUR 100,000 - 125,000

Data Scientist F / H

Data Scientist F / H
MSA
Paris
EUR 100,000 - 125,000

Data Engineer

Data Engineer
AXA France
Hauts-de-France
EUR 20,000 - 30,000

Data Engineer

Data Engineer
Valeo
Paris
EUR 45,000 - 85,000

Data scientist

Data scientist
Teads
Paris
EUR 40,000 - 80,000

Data Analyst H/F

Data Analyst H/F
Apside
Paris
EUR 40,000 - 70,000

Senior Data Scientist – AI Team

Senior Data Scientist – AI Team
PandaDoc
Paris
EUR 60,000 - 100,000

Data scientist EEG, modèles de fondation (F/H)

Data scientist EEG, modèles de fondation (F/H)
BIOSERENITY
Palaiseau
EUR 100,000 - 125,000

Data Analyst

Data Analyst
afpa
Saint-Victoret
EUR 60,000 - 80,000

Consultant senior data scientist / LLMOps

Consultant senior data scientist / LLMOps
Baker Tilly
Paris
EUR 80,000 - 100,000

Applied Data Scientist (F/M)

Applied Data Scientist (F/M)
ALSTOM Gruppe
Paris
EUR 45,000 - 80,000

Senior Data Scientist (H / F)

Senior Data Scientist (H / F)
ALLIANZ IARD
Paris
EUR 40,000 - 45,000

Senior Data Analyst

Senior Data Analyst
Artefact
Paris
EUR 35,000 - 55,000

DATA SCIENTIST F / H

DATA SCIENTIST F / H
Leon Grosse
Paris
EUR 100,000 - 125,000

Experienced Data Analyst - Gaming

Experienced Data Analyst - Gaming
Voodoo
Paris
EUR 40,000 - 80,000

Senior Machine Learning Engineer

Senior Machine Learning Engineer
Adikteev
Paris
EUR 45,000 - 85,000

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Senior Data Engineer - Delivery team

Overstory
Paris
EUR 45,000 - 80,000
Job description

The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.

The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.

One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.

That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.

Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers—15 nationalities strong and growing. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.

Join us to help us build a more resilient world together.

The role

The Delivery team at Overstory is a technical team consisting of Data Scientists, Data Engineers, and Solutions Engineers. We connect the business and technology departments at Overstory. We own the execution and quality of analyses for our customers, handle customer requests and specific configurations, and spearhead new analysis features. Our team ensures that our data infrastructure and processes effectively serve our customers' needs while maintaining high quality standards.

As a Data Engineer in the Delivery team, you will support both operational needs and infrastructure development. You will build new features and tools to improve our data operations and handle various customer requests. We expect the share of time spent between operational support and feature development to be about 50/50 to begin with, gradually moving toward feature development only. You will work closely with other product teams at Overstory; our Customer Success and Sales teams; our Data Acquisition team; and, of course, your teammates. This is an exciting role that spans the full gamut of disciplines and departments and brings all of them together to deliver the final results to our customers.

What you will do

Over the next 6-12 months you will be:

  • Owning day-to-day operational responsibilities of delivering our analysis to the customers;
  • Developing data-driven solutions to customer problems that our products aren’t solving for yet;
  • Building new and improving existing technologies such as:
    • Automation of the analysis for all customers, leading to faster implementation of Overstory’s recommendations;
    • Metrics to identify what are the time bottlenecks in the current flow of analysis, therefore helping all Overstory teams identify areas of improvements;
    • Visualization of status and progress of the analysis for internal use;
  • Working on performance & scalability of our pipelines ensuring that our tech can handle our growth.

You will be an influential member of the team taking the lead on and contributing to key initiatives. Additionally, you will coach and mentor other engineers on the team.

About You
  • Passionate about climate
  • Approximately 5 years of experience in Data Engineering with at least one experience in a startup environment
  • Product-minded and able to demonstrate significant impact you have had on a business through the application of technology
  • Proven experience of data engineering across the following (or similar) technologies: Python, data orchestration platforms (Airflow, Luigi, Dagster, etc…), data quality frameworks, data lakes/warehouses
  • Ability to design and implement scalable and resilient data systems
  • Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
  • Passion for learning and staying updated with evolving technologies and industry trends
  • You are based in Europe or in the UK
Nice to haves
  • Experience working with Google Cloud Platform services
  • Experience with geospatial data processing
  • Experience building internal APIs
  • Experience deploying and rolling out data quality frameworks
  • Experience working in a high growth scaleup environment
  • Experience working remotely

If you don’t meet all of the above yet feel you have lots to offer, please apply anyway.

What you get
  • To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis.
  • Flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around.
  • Other benefits like a remote working budget, an educational budget and time to develop new skills.
  • To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance and respect.
  • Equity and a competitive salary.
About our team

We are a group of 64 people from all over the world. Fifteen nationalities are represented in our team. We work remotely from nine different countries and we are looking for candidates that are also living and working in one of these countries: the Netherlands, United Kingdom, Estonia, Portugal, Spain, France, Sweden, Denmark.

We meet up once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.

Diversity & Inclusion

We place enormous value on diversity and inclusion and strive to continually bring in people of all genders, races, creeds, ethnicities, abilities and backgrounds. We believe that the best ideas emerge when people with different perspectives and approaches work together on a problem.

We’re always looking to diversify our team further, but we’re proud of the fact that four out of the nine people on our leadership team are female, 46% of the overall team are female and 20% of the team are people of color. Our team speaks fifteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, Danish and Korean.

Our values
Tackling the climate crisis is our greatest mission.

We act with urgency.

Our curiosity fuels our growth.

We recognize that change is constant, and we find joy and power in exploration.

We’re rooted in diversity.

Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.

We care for each other.

We love the power of machines but we nurture each other as humans.

Trust is fundamental.

We assume the best in everyone, and we share ideas openly so that we have a positive impact.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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