Data Scientist for Machine Learning Model Development

il y a 23 heures


Paris, Île-de-France Adikteev Temps plein

At Adikteev, a member of the prestigious French Tech 120, we empower the app ecosystem by inspiring users to engage with their favorite apps. Our global presence, with offices in Paris, San Francisco, and Seoul, allows us to achieve remarkable revenue growth year after year.

We're driven by a mission to make a meaningful impact through our work. As a Data Scientist on our Machine Learning team, you'll collaborate closely with engineers to design, deploy, monitor, maintain, and improve machine learning and deep learning models in production. Our models have been refined over time to optimize performance while addressing the unique challenges of our industry, including inference time and data volume.

Your responsibilities will include:

  • Performing custom analyses to provide insights to various stakeholders, such as investigating performance shifts, A/B testing, evaluating business potential, and conducting presale analysis.
  • Mentoring junior Machine Learning Engineers to help them grow in their careers.

To be successful in this role, you should possess:

  • A Master's degree or PhD in STEM fields, preferably with a focus on statistics.
  • At least 5 years of experience working in teams using data science to power core company products or services.
  • Applied experience with machine learning on large datasets.
  • Proficiency in querying, structuring, and processing qualitative or quantitative data to draw insightful business conclusions.
  • Familiarity with a variety of machine learning techniques and their real-world advantages and drawbacks.

You should also have strong technical skills, including:

  • Proficiency in Python (main packages: pandas, numpy, scipy, scikit-learn, tensorflow...), with a focus on coding best practices (clean code, DRY, typing, tests, formatting, factorization...).
  • Basic knowledge of database languages (SQL) and competency in shell scripting.
  • Experience with deployment to production and familiarity with AWS (S3, EC2, EMR, Glue, SageMaker...) is a plus.

We offer a competitive salary, estimated at approximately $120,000 per year, based on industry standards and the location of our offices.

In addition to your salary, you can expect:

  • A performance-based quarterly bonus with transparent KPIs.
  • A profit-sharing scheme (


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