Data Science & Product Analytics Project Leader

Deepstreamtech; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Deepstreamtech is seeking a Data Science & Product Analytics expert to join their Paris team. The ideal candidate will possess a Master's degree in a quantitative field and have 5+ years of relevant analytical experience, coupled with strong project management skills. You will be responsible for tackling complex product challenges using advanced data science methodologies while collaborating with cross-functional teams to develop impactful frameworks and optimize user recognition solutions. Effective communication with stakeholders is essential.

Qualifications

• 5+ years’ experience in an analytical role in Technology, Engineering, Consulting or Finance.
• 2+ years of project management experience.
• Strong interest in data science, statistics, and predictive approaches.

Responsabilités

• Use advanced statistics and machine learning to tackle complex product challenges.
• Support product and R&D teams in building and scaling measurement frameworks.
• Work with various teams to improve identity and privacy solutions for user recognition.
• Define, track, and leverage key platform metrics for continuous improvement.
• Act as main contact for R&D and Product teams to ensure alignment and collaboration.

Connaissances

Analytical role experience

Project management experience

Data science tools proficiency

Effective communication

Fluency in English

Formation

Master’s degree or higher in a quantitative field

Description du poste

Deepstreamtech is seeking a Data Science & Product Analytics expert to join their Paris team. The ideal candidate will possess a Master's degree in a quantitative field and have 5+ years of relevant analytical experience, coupled with strong project management skills. You will be responsible for tackling complex product challenges using advanced data science methodologies while collaborating with cross-functional teams to develop impactful frameworks and optimize user recognition solutions. Effective communication with stakeholders is essential.