Julien Heiduk

Data scientist, Formateur Machine Learning, Python

Remote from Lille

  • 50.62924999999999
  • 3.057256000000052
  • Indicative rate €600 / day
  • Experience 7+ years
  • Response rate 100%
  • Response time 4h
Propose a project The project will only begin when you accept Julien's quote.

Confirmed availability

Propose a project The project will only begin when you accept Julien's quote.

Location and geographical scope

Lille, France
Remote only
Works remotely most of the time


Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months
Business sector
  • Travel & Tourism
  • Wine & spirits
  • Transportation
  • Telecommunications
  • Sports
+46 autres
Company size
  • 1 person
  • 2 - 10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
+2 autres




  • Anglais

    Limited working proficiency

  • Français

    Native or bilingual


Skills (16)

  • BigData
  • Beginner Intermediate Advanced
  • Frameworks
  • Beginner Intermediate Advanced
  • Languages
  • Beginner Intermediate Advanced

Julien in a few words

Co-fondateur de Labs On Mars, l'agence Data Science appliquée au SEO, SEA & Marketing.

Nous aidons nos clients à tirer profit des données et de l’intelligence artificielle pour ajouter de l’automatisation et de la prédiction à leur stratégie de référencement naturel (SEO) et payant (SEA). Comment ? À travers une offre de coaching en data science et de développement d’outils sur-mesure.



Labs On Mars

Digital Agency and IT company

Co-founder - NLP Data Scientist

Lille, France

October 2019 - Today

Labs on Mars provides Data Science consulting services and custom tools development, applied to search engine optimization (SEO)


OpenClassrooms - Openclassrooms

Education & E-learning

Formateur Data Scientist & Machine Learning Engineer

Lille, France

June 2019 - Today

I help aspiring Data Scientist & Machine Learning Engineer to achieve their goal !


High Tech

Senior Data Scientist

Tourcoing, France

August 2018 - May 2019

My main goal is to developp the best AI-system for Dog's Activity Recognition. Our purpose is not just to have the best AI-system but to propose the best smart collar for dogs on the market !

In parallel I am developing the research and development part in order to explore other deep learning approaches. To succes theses tasks I am working with a Machine Learning Engineer who is supporting me on the project related to the data.

In addition to the implementation of the machine learning project end-to-end, I am working on the setting up of tools to improve the project management, the data visualisation and the workflow of our data. All of the tools implemented are open source.



Data Scientist

Roubaix, France

December 2016 - August 2018

I focused on the implementation of a recommender system (Products approach), Association Rules, scoring (of interest) and segmentations with the objective of developing the CRM.

I have implemented the time series forecasting with RNN with the aim of predicting the activity at the call center to scale the teams. I have also contributed to the implementation of a Proof Of Concept about the speech to text based on the algorithm WaveNet (DeepMind). I was able to use NLP’s algorithms in order to explore and to do an analysis of the surveys data.

About the tech I use: Pyspark, Hive, Dataiku,Tensorflow and Python

OpenClassrooms - Openclassrooms

Education & E-learning

Mentor Data Scientist

Lille, France

March 2017 - November 2017

Mentoring of students on the Central Supelec Data Scientist Course. Through projects about Machine Learning , DeepLearning, Recommander System and technological survey.


Digital Agency and IT company

Data Scientist

Lille, France

February 2017 - June 2018

Consulting Data Scientist - Jagger & Lewis
May 2018 - August 2018
- Set up Machine Learning & Deep Learning models to improve the quality of the solution

Mentor Data Scientist - Self Employed
May 2018 - June 2018

Trainer at Quantmetry, Data Science Consulting
December 2017
3 training days about the Machine Learning with Python and Big Data with Pyspark:
- Algorithm of Machine Learning (Classification - Regression - Clustering)
- Use cases (Risk Prediction)
- Good practices (Exploratory Data Analysis)
- Hadoop - Spark - Churn Prediction with Pyspark (MLlib)

Data Scientist at Pitchr
March 2017 – November 2017
Implementation of an recommender system - Collaborative Filtering Approach - to sort smarter the people around the Pitchr's users. The goal was to sort a list of people caracterized by theirs professional skills in order to increase the number of connections between the users.

Sopra Steria - SOPRA STERIA

Digital Agency and IT company

Statistics Engineer

Lille, France

January 2015 - December 2016

COFIDIS - CRM Analytics (January 2016 à December 2017)
- Implementation of the Data Management Platform

CREDIT AGRICOLE NDF - CRM Analytics (January 2015-January 2016)
- Data Muggling with the platform Cloudera (Hive, Spark...)
- Implementation of ML's algorithm

Créatis - Groupe Cofidis

Banking & Insurance

Chargé d'études statistiques

Lille, France

December 2012 - May 2014

- Reporting to monitor the activity
- Production of KPI to pilot the activity
- Setting up the calculation of bonuses for employees

Seton - Group Brady Corp.


Chargé d'études Marketing

March 2012 - September 2012

- Implementation of Reactivation's score
- Monitoring of Key account
- Rewriting SPSS programs in SAS
- Optimization

24 Malt project(s)

    (5 ratings)

    Ismael Saidani - Genfit


    Avoir collaboré avec Julien a été un réel plaisir. Il a su faire profiter l'ensemble de l'équipe de ses connaissances et a été un élément moteur pour nos différents projets. De plus il a une très bonne capacité d'analyse, qui fait gagner un temps précieux pour l'équipe. Je recommande vivement Julien, qui sera un atout pour vos futurs missions.


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