Principal Data Scientist – Deep Learning

Jampp

. Define and drive the technical strategy for Jampp’s deep learning and embedding-based modeling architecture .

Posted 9/16/2026full-timeRemote • SpainLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying Deep Learning models, with a strong focus on real-time prediction and optimization in programmatic advertising. Proven ability to lead complex machine learning initiatives and mentor Data Scientists while communicating technical concepts effectively to diverse stakeholders.

Highest-signal resume keywords

Deep Learning Model DevelopmentPython ProgrammingMachine Learning InfrastructureReal-Time Prediction SystemsTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningDeep LearningNeural Network ArchitecturesRepresentation LearningModel EvaluationOptimizationStatistical AnalysisExperimentationProduction Deployment

Soft Skills

Analytical SkillsProblem-Solving SkillsTechnical CommunicationMentorship

Tools & Technologies

Python EcosystemML PlatformsTraining PipelinesFeature StoresModel ServingMonitoring Systems

Industry Keywords

Programmatic AdvertisingDSPRTBAd ExchangesAd NetworksRecommendation SystemsHigh-Throughput EnvironmentsCPICPACampaign Optimization

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Define and drive the technical strategy for Jampp’s deep learning and embedding-based modeling architecture
Design, develop and iterate advanced DNN architectures for prediction and optimization, initially focusing on CPI/CPA use cases and expanding into real-time bidding, bid optimization, ranking and campaign optimization
Define strategies for learning rich representations of high-cardinality entities such as users, devices, creatives, publishers, advertisers, apps, campaigns and placements
Lead reusable embedding and representation-learning approaches across the platform
Improve the performance, scalability and generalization of machine learning models using raw signals and learned representations
Develop real-time prediction and decision-making models for programmatic advertising under strict latency and scale constraints
Evaluate modeling approaches and technologies for large-scale DSP and RTB systems
Establish technical standards and best practices for model development, experimentation, evaluation and productionization
Guide modeling initiatives from problem definition and experimentation through production deployment and continuous improvement
Design, code and deploy machine learning models and production tools, primarily in Python
Collaborate with ML Engineers, Data Engineers and Software Engineers on training infrastructure, data pipelines, feature infrastructure, serving architecture and feedback loops
Analyze model and product performance metrics and their impact on bidding decisions, campaign performance, user response and business outcomes
Mentor and guide Data Scientists
Communicate technical findings, architectural decisions, trade-offs and recommendations to technical and non-technical stakeholders
Collaborate with Data Science and ML teams across Jampp and Affle on shared capabilities and machine learning solutions

Requirements

What you’ll need

Significant experience in Data Science, Machine Learning, Deep Learning or a closely related quantitative/technical role, with a track record of leading complex machine learning initiatives
Strong academic background in Computer Science, Applied Mathematics, Physics, Statistics, Engineering, Econometrics, or another quantitative field
Deep understanding of machine learning and deep learning fundamentals, including neural network architectures, representation learning, optimization and model evaluation
Extensive hands-on experience developing and deploying Deep Learning models in production environments
Strong experience with Python and the scientific/machine learning Python ecosystem
Experience working with large-scale datasets and high-cardinality categorical or ID-based features
Proven track record of taking machine learning models from experimentation and research through reliable production deployment
Experience designing or making significant technical contributions to ML architectures, training pipelines, model serving or other machine learning infrastructure
Experience working with real-time or latency-sensitive machine learning systems, ideally in advertising, marketplaces, recommendations or other high-throughput environments
Strong analytical and problem-solving skills
Strong technical communication skills
Experience providing technical leadership, mentorship or direction to other Data Scientists or engineers
Comfortable conducting daily professional communications in English (written and verbal)
Experience with embeddings, representation learning, DSPs, programmatic advertising, RTB, ad exchanges, ad networks, recommendation systems, pricing, ranking, personalization, fraud detection, ML platforms, training pipelines, feature stores, model serving or monitoring systems is a great fit

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Jampp Website LinkedIn All Job Openings 51 - 200 employees Founded 2013 📣 Marketing 🎮 Gaming 💰 $7M Series A on 2015-02 Marketing
Advertising
Gaming Jampp is a programmatic advertising platform designed to drive growth for mobile apps through user acquisition and app retargeting. The company leverages machine learning and predictive algorithms to optimize advertising strategies, ensuring positive ROI by adjusting bids, placements, and creatives dynamically. Jampp offers full visibility into ad performance and spend via its dashboard and API. Its technology is used across various industries including gaming, commerce, and financial services, helping businesses achieve growth at scale by tapping into extensive ad requests and optimizing user engagement throughout the user journey. Principal Data Scientist – Deep Learning 🔥 0 minutes ago 🇪🇸 Spain – Remote ⏰ Full Time 🔴 Lead 📊 Data Scientist 👻 Ghost score 12% Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Define and drive the technical strategy for Jampp’s deep learning and embedding-based modeling architecture
Design, develop and iterate advanced DNN architectures for prediction and optimization, initially focusing on CPI/CPA use cases and expanding into real-time bidding, bid optimization, ranking and campaign optimization
Define strategies for learning rich representations of high-cardinality entities such as users, devices, creatives, publishers, advertisers, apps, campaigns and placements
Lead reusable embedding and representation-learning approaches across the platform
Improve the performance, scalability and generalization of machine learning models using raw signals and learned representations
Develop real-time prediction and decision-making models for programmatic advertising under strict latency and scale constraints
Evaluate modeling approaches and technologies for large-scale DSP and RTB systems
Establish technical standards and best practices for model development, experimentation, evaluation and productionization
Guide modeling initiatives from problem definition and experimentation through production deployment and continuous improvement
Design, code and deploy machine learning models and production tools, primarily in Python
Collaborate with ML Engineers, Data Engineers and Software Engineers on training infrastructure, data pipelines, feature infrastructure, serving architecture and feedback loops
Analyze model and product performance metrics and their impact on bidding decisions, campaign performance, user response and business outcomes
Mentor and guide Data Scientists
Communicate technical findings, architectural decisions, trade-offs and recommendations to technical and non-technical stakeholders
Collaborate with Data Science and ML teams across Jampp and Affle on shared capabilities and machine learning solutions 🎯 Requirements
Significant experience in Data Science, Machine Learning, Deep Learning or a closely related quantitative/technical role, with a track record of leading complex machine learning initiatives
Strong academic background in Computer Science, Applied Mathematics, Physics, Statistics, Engineering, Econometrics, or another quantitative field
Deep understanding of machine learning and deep learning fundamentals, including neural network architectures, representation learning, optimization and model evaluation
Extensive hands-on experience developing and deploying Deep Learning models in production environments
Strong experience with Python and the scientific/machine learning Python ecosystem
Experience working with large-scale datasets and high-cardinality categorical or ID-based features
Proven track record of taking machine learning models from experimentation and research through reliable production deployment
Experience designing or making significant technical contributions to ML architectures, training pipelines, model serving or other machine learning infrastructure
Experience working with real-time or latency-sensitive machine learning systems, ideally in advertising, marketplaces, recommendations or other high-throughput environments
Strong analytical and problem-solving skills
Strong technical communication skills
Experience providing technical leadership, mentorship or direction to other Data Scientists or engineers
Comfortable conducting daily professional communications in English (written and verbal)
Experience with embeddings, representation learning, DSPs, programmatic advertising, RTB, ad exchanges, ad networks, recommendation systems, pricing, ranking, personalization, fraud detection, ML platforms, training pipelines, feature stores, model serving or monitoring systems is a great fit Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs AI & Data Science Director 🕒 April 21 Clarity AI 201 - 500 🤖 Artificial Intelligence ☁️ SaaS 💸 Finance Website LinkedIn All Job Openings AI & Data Science Director at Clarity AI leading applied AI evolution with a focus on generative AI and team development. 🇪🇸 Spain – Remote 💰 $50M Venture Round - Clarity AI on 2021-12 ⏰ Full Time 🔴 Lead 📊 Data Scientist Staff Product Manager, Data Products 🕒 December 18, 2025 Actian 201 - 500 💼 Consulting 🏥 Healthcare 📦 Logistics Website LinkedIn All Job Openings Technical Product Manager at Actian leading Data Intelligence product initiatives. Focused on cross-functional collaboration and innovative data management solutions. 🇪🇸 Spain – Remote ⏰ Full Time 🔴 Lead 📊 Data Scientist View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Remote jobs Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources About us Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs