13 juillet 2025 Artia13 0 View

Offre d’Emploi : Senior Data Scientist, Product Analytics chez Moloco

Présentation de l’Entreprise

Moloco est une entreprise de machine learning qui vise à aider les organisations de toutes tailles à exploiter pleinement la valeur de leurs données propriétaires. En rompant avec les approches traditionnelles de la publicité à la performance, Moloco propose une combinaison innovante de technologies avancées, permettant un ciblage publicitaire efficace qui était jusqu’alors réservé aux plus grandes entreprises technologiques. Avec des bureaux à travers le monde, y compris à Séoul, Moloco se positionne comme un leader dans le domaine de la technologie publicitaire, reconnu parmi les 5000 entreprises privées à la croissance la plus rapide en 2023.

Mission et Valeurs de Moloco

Moloco s’engage à créer un environnement de travail inclusif et à promouvoir la diversité. Les valeurs fondamentales de l’entreprise comprennent le leadership humble, une mentalité de croissance illimitée, la recherche de la réelle valeur ajoutée, et la collaboration pour un objectif commun. Cette approche favorise une culture de respect et d’opportunités pour tous les employés.

Description du Poste

En tant que Sénior Data Scientist au sein de l’équipe Product Analytics Data Science (PDS), vous jouerez un rôle essentiel en matière d’analyse de la performance produit. Vous aurez la responsabilité de :

Réaliser des analyses approfondies pour influencer les décisions de recherche et développement (R&D) : manipulation de grands ensembles de données pour extraire des signaux pertinents et générer des recommandations concrètes.
Mettre en place des métriques adaptées pour évaluer la santé des campagnes publicitaires, en améliorant le cadre de mesure et en analysant les relations de cause à effet.
Évaluer la santé des systèmes publicitaires, en identifiant les changements et en diagnostiquant les problèmes.

Profil Recherché

Les candidats idéaux devront démontrer des compétences solides en résolution de problèmes, tout en possédant la capacité de gérer plusieurs projets simultanément. Les exigences comprennent :

5 ans d’expérience en data science ou un diplôme avancé avec au moins 4 ans d’expérience.
Solide connaissance des statistiques, notamment la conception expérimentale et les techniques d’analyse.
Expérience en programmation (Python, R ou SQL).
Maîtrise de l’anglais et du coréen.

Les candidats avec une expérience dans le secteur de la publicité seront favorisés.

Avantages offerts

Moloco valorise le bien-être de ses employés et propose des avantages innovants afin de favoriser leur épanouissement personnel et professionnel. Un aperçu de ces bénéfices est disponible sur leur site.

Égalité des Chances

Moloco prône l’égalité des chances et ne pratique aucune discrimination fondée sur des caractéristiques protégées par la loi. L’entreprise encourage un environnement de travail diversifié et inclusif.

Postulez dès Maintenant

Pour ceux qui souhaitent contribuer à la mission de Moloco et évoluer au sein d’une entreprise en pleine croissance, n’hésitez pas à postuler dès maintenant.

Conclusion

Cette opportunité dans une entreprise innovante comme Moloco est idéale pour les professionnels de la data science qui cherchent à faire une réelle différence dans le secteur de la technologie publicitaire. L’engagement de Moloco envers la diversité et l’inclusion, associé à ses valeurs fondamentales, en fait un lieu de travail prometteur et enrichissant.

📅 Date de publication de l’offre : Fri, 04 Jul 2025 22:46:49 GMT

🏢 Entreprise : Moloco

📍 Lieu : 서울시

💼 Intitulé du poste : Senior Data Scientist, Product Analytics

💶 Rémunération proposée :

📝 Description du poste : About Moloco:Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data- the same robust performance powered by machine learning has previously been unavailable beyond their platforms.That’s where Moloco steps in. With Moloco’s powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the . In 2023, we received , a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified ! Check us out on and be sure to get an inside look at working at Moloco on , , and .Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv and Tokyo.Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission — to empower businesses of all sizes to grow through operational machine learning.Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!The Impact You’ll Be Contributing to Moloco:Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, ML) and customer needs, and provide the data driven insight and scientific solutions.The Opportunity:Here’s what you’ll be working on:

Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.
Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers
Evaluating ads system health: understanding changes and drivers of our complex systems, and diagnosing issues through a set of input/output metrics of each component.

How Do I Know if the Role is Right For Me?

Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time.
Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations.
Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
5+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
Fluency in English and Korean.

Strong Candidates May Also Have:

Ad-tech experience.

Moloco Thrive: Benefits and Well-Being:We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click .Moloco Values

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:Equal Opportunity:Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression, and gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.Candidate Privacy Notice:Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our .

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