Senior Data Scientist

  • Product & Development
  • Paris, France

Senior Data Scientist

Job description


The Adikteev team is seeking a Senior Data Scientist for its Paris office to design and iteratively perfect the models used across the firm.​ 

Adikteev has several lines of business and at a minimum you will be involved in efforts concerning our retargeting platform and our LTV prediction platform.

As a Senior Data Scientist, you are going to:

  • Design machine learning pipelines iteratively​ from the source data (very large real time datasets) to the models powering very diverse product needs. For example Reakt handles real-time bidding while some tailored Klust models run only once. Some algorithms are already advanced and need to be perfected while others you will build entirely from scratch starting with a literature review of best scientific practices.
  •  Partner with Engineering to deploy every model effectively​ (planning, Git PRs, reviewing results, etc.) Adikteev has a very strong Data Engineering team to put algorithms into production on Airflow and dedicated Backend Engineering to Handle the intricacies of real time bidding.
  •  Design and deploy statistical tests to evaluate model changes.
  •  Conduct research​ and contribute to the statistical expertise of the firm.
  •  Contribute to product strategy brainstorming​ and help prioritize initiatives for the roadmap.

    Interact cross-functionally and ​deliver effective presentations​ to multiple levels of stakeholders,

    tailoring the level of scientific content and communication to the audience.

  •  Mentor a junior data scientist.



Requirements

    Skills

    •  Intelligence ​- Quickly absorbs complex new information.
    •  Creativity ​- Enjoys brainstorming and generating innovative approaches to company challenges.
    •  Communication ​- Speaks and writes clearly and concisely. Fluent English, French is a plus.
    • ML skills ​- Proficiency in querying, structuring and processing qualitative or quantitative data to draw insightful business conclusions. Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
    • Mathematical skills ​- understands and enjoys applying theoretical concepts of statistical learning. Eagerness to keep abreast of relevant academic & professional research.
    • Technical skills​ - Deftly programs in Python & Pandas (experience with PySpark and Scala a

      plus), basic knowledge of database languages (SQL). Competency in shell scripting, experience with deployment to Production, experience with AWS a plus.

    • Cultural skills - ​High standards, Autonomy, Teamwork, Enthusiasm, Honesty, Adaptability.


      Qualifications

    Master’s degree or PhD in STEM, preferably with a statistics focus.

    5+ years of experience working in teams using data science to power a core company product or service. Exceptional candidates with less professional experience will also be considered. 

    Applied experience with machine learning on large datasets.

    Knowledge of AdTech or MarTech is a strong plus.