JobID: 2007
Apply here:
To apply, please fill this form: https://forms.gle/q1yrMaLEktPCdZN8A
Company Name
A Global Consulting Firm (AIML.com’s Partner Company)
Location
Orlando, FL (preferred) | Open to NYC or Remote (US)
Team
Data Science & Machine Learning – News
About the Role:
AIML.com is supporting one of our trusted partner companies, a global consulting firm, in their search for an experienced Lead Data Scientist to drive the strategy and execution of data science initiatives in the news domain, with a particular focus on personalization and recommendation systems. This role is central to shaping how millions of users discover, consume, and engage with news content.
The ideal candidate has deep expertise in news recommendation systems, including personalization models that handle fast-changing, short-lived content. They will lead technical initiatives, mentor teams, and collaborate with product, engineering, and editorial partners to build systems that maximize both user engagement and trust.
Responsibilities
- Lead the design, development, and optimization of news-focused recommendation systems, including real-time personalization, ranking, and content discovery models.
- Build models that account for content freshness, diversity, serendipity, and bias mitigation, which are especially critical in news contexts.
- Develop scalable systems leveraging embeddings, contextual bandits, reinforcement learning, graph-based approaches, and hybrid recommendation methods.
- Collaborate with engineering to deploy and monitor models in large-scale production environments.
- Establish best practices in experimentation (A/B testing, multi-armed bandits, interleaving), evaluation metrics (CTR, dwell time, diversity, novelty), and fairness in recommendations.
- Mentor and guide a team of data scientists; establish technical excellence in modeling, analysis, and reproducibility.
- Partner with cross-functional stakeholders to define the data science roadmap for news personalization and audience engagement.
- Stay ahead of industry/academic advances in recommendation systems, ranking, personalization, and applied ML.
Key qualifications required
- Advanced degree (PhD or MS) in Computer Science, Statistics, Mathematics, or related field.
- 6+ years of experience in data science or applied machine learning, with at least 2+ years in a lead/principal role.
- Strong expertise in recommendation systems, particularly in:
- Real-time personalization and session-based recommenders
- Handling fast-moving, high-churn content like news articles
- Diversity/novelty trade-offs and mitigating filter bubbles
- Context-aware and multi-objective optimization for recommendations
- Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with large-scale data infrastructure (Spark, Hadoop, BigQuery, or similar).
- Experience with NLP for news content understanding (topic modeling, summarization, entity extraction).
- Experience with recommendation libraries and platforms (e.g., TensorRec, LightFM, Implicit, RecBole, Vespa, Nvidia Merlin).
- Familiarity with modern embedding techniques (word, document, user embeddings) and vector databases (FAISS, Pinecone, Weaviate).
- Excellent communication skills; ability to translate complex ML insights into actionable strategy.
- Previous experience in media, news, or content recommendation systems strongly preferred.
Nice-to-Haves
- Background in user behavior modeling, cold-start problem solving, or real-time personalization.
- Familiarity with modern ML platforms, feature stores, and streaming data systems (e.g., Kafka, Flink)
Submission Deadline
Until the position is filled
Apply here:
To apply, please fill this form: https://forms.gle/q1yrMaLEktPCdZN8A
Questions?
Reach us at careers@aiml.com
About Client Partner company
Headquartered in Singapore, the partner company has a client base spanning 30 countries with employee base of 10,000+ people. The company is a global leader in enterprise-grade data analytics and AI solutions, across financial services, CPG, legal, pharma, life sciences, retail and logistics. The company boasts of marquee financial services clients, including 4 out of top 10 asset managers in the United States.
About AIML.com
AIML.com is a global AI/ML education platform with the largest repository of ML interview preparation resources, including 300+ interview questions and 60+ interactive practice quizzes. With a global footprint, AIML.com is visited daily by learners from over 100 countries, helping them strengthen their machine learning expertise.
AIML.com partners with top companies to connect talent with high-impact job opportunities. The above opening is with our client partner company. If you are looking to hire Machine Learning talent, please contact us at careers@aiml.com
Date: October 7, 2025