AdTechTalent
Data Science2 months agoHybrid

DoubleVerify

Senior Data Scientist

pythonsqlmachine learningdata scienceautomationkubernetesdockergoogle cloudmentoringproduction deploymentscaling

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

3-5

Location

Paris, France

Full job description

Senior Data Scientist role at DV Scibids in Paris. Responsibilities include managing projects end-to-end from proof-of-concept to production, mentoring junior developers, working with large datasets, solving complex analysis and scaling problems, collaborating with commercial teams to improve algorithms, and automating repetitive processes with AI. Requires MS degree in applied mathematics or data science, 2-5 years experience with Python/C++, passion for automation, SQL experience, production ML deployment experience, and leadership or mentoring experience. Tech stack includes Python, SQL, Kubernetes, Docker, Github, and Google Cloud Platform services. Full-time hybrid position with competitive compensation including salary, bonus, and equity.

What you'll do

  • Managing projects end-to-end, taking ownership from the initial proof-of-concept phase through to production deployment and monitoring
  • Mentoring junior developers, providing technical guidance, conducting code reviews, and sharing best practices to ensure high code quality
  • Working with massive datasets (billions of ad impressions/month) and millions of variables
  • Solving non-routine analysis problems (not handled by off-the-shelf ML solvers)
  • Solving challenging scaling/engineering problems as our system produces thousands of ML models per day
  • Working closely with the commercial and customer success teams to help identify business cases where a new algorithm is needed or existing ones need improvement
  • Identifying and automating any repetitive process taking place at Scibids, including developing AI routines replacing 'human common sense'

Requirements

  • MS degree in applied mathematics or data science (e.g., statistics, probabilities, operations research, machine learning)
  • 2 to 5 years of professional experience in Data Science with Python/C++
  • Passion for automation and data-driven decisions
  • Proven professional experience in a SQL-like language
  • Experience deploying machine learning models into production environments
  • Previous experience leading technical projects or mentoring team members

Tech stack

PythonSQLKubernetesDockerGithubGoogle Cloud EnvironmentApp Engine StandardCloud SQLGoogle Cloud Datastore

Benefits

Competitive package including fixed salary, annual bonus and company equity

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