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Head of Machine Learning

  • Paris, Île-de-France, France
Data Science

Job description


At Adikteev, we fuel the app ecosystem by inspiring users to engage with the apps they know and love. Specializing in user retention, we grow in-app revenue and build user loyalty with custom retargeting and churn prediction campaigns.


Own It, Live It: Our top priority is making sure our customers are not just happy but thrilled. We're not afraid to make bold moves, take charge of challenges, and see them through to the end.
Rolling with the Changes: We don't just face challenges, we predict them. Agility is our middle name, and we're all about continuous learning. Adaptability is our recipe for success.
Making Waves with Purpose: We're here to make a difference. Every decision and action we take is aimed at making a meaningful impact.
The ADIKTEAM Vibe: It's not just a team; it's the ADIKTEAM. Each one of us is a crucial part of the squad and we're always on the lookout for A+ players.


  • Sophisticate machine learning features embedded in our predictive segmentation and
  • real-time bidding platform in order to reach automatically campaign goals (performance
    and scale)
    Watch machine learning features performance KPIs and prioritize relevant actions to
    maintain them at a high level
    Drive and deliver R&D initiatives planned in the company strategy and regularly report
    progress to company management
    Communicate internally and externally on behalf of Adikteev Data Science team, train
    customer-facing teams about performance automation features of the product and
    attend meetings with key clients to share technical knowledge
    Grow an expertise about the mobile game marketing business and contribute to the
    definition of the company roadmap in collaboration with company management
    Hire, manage and coach members of the Data Science team

Job requirements


You will be a good fit to join the team if you have :

  • Masters degree, PhD, or equivalent self-education, preferably in Mathematics or
  • 8+ years of experience working in teams using data science to power a core company
    product or service
  • Good organization and planning skills
  • Technical knowledge - Deep knowledge of statistics and machine learning, deep
    knowledge of data engineering is a plus
  • Ability to develop people - Coaches people in their current roles to improve
    performance, and prepares them for future roles
  • Knowledge of adtech or martech is a plus


  • Competitive Salary ;
  • Performance-based Quarterly bonus with transparent KPIs;
  • Profit-sharing scheme ("Prime de participation") ;
  • Longevity bonus every 2 years ;
  • Healthcare plan with excellent coverage (50% of the contribution covered by Adikteev) ;
  • €9 Lunch Vouchers (Tickets Restaurant - SWILE card - 50% of the contribution covered by Adikteev) ;
  • 4 1/2 days work week (Fridays afternoon off) ;
  • “RTT” ;
  • 50% of transportation fees covered by Adikteev (Navigo Pass)
  • Mental Health support ;
  • Flexible remote working policy ;
  • Regular team-life event / activity
  • Parental leave Policy.


  • A call with Claire (Talent Acquisition Partner)
  • A discussion with Loïc (Chief Product Officer) and Benoît (Chief HR Officer)
  • A team-fit discussion with Alix (Head of Product) and Adrien (Lead Product Analyst)
  • A case study with Xavier (Co-founder and CEO), Clément (Global Chief Operations Officer), Loïc (Chief Product Officer) and Cédric (Chief Technical Officer).

We prioritize people, not just job titles.

At Adikteev, we value talent in all its many forms and qualifications. If, after reading this job description, you feel that the position aligns with your current abilities and career aspirattions, we encourage you to apply even if you don't have every skill listed.

Not everyone will make it through our hiring process, but your skills might just be the perfect match for another adventure we have now or down the road.

As an Employer of choice, Adikteev does not and shall not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors and clients.