Data Scientist - AI Marketplace Platform Job at Mirakl (Paris)

Data Scientist - AI Marketplace Platform

As part of our Data Science team (50+ people), your main mission will be to prot...

Location

France , Paris, Bordeaux, or remote from France

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Background in machine learning, mathematics, computer science (or a related field)
3 years of experience in a similar position
Significant experience in applied ML in a business setting
Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
Proficient in Python, Tensorflow, and/or PyTorch
Pragmatic, data-driven, and business-oriented with good team spirit
Like to take ownership of your projects and are curious
Have a positive attitude: respect and kindness are part of your values

Job Responsibility

Prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams
Analyze and prepare data, prototype algorithms
Put them into production in collaboration with Data Engineers and development teams
Create dashboards to illustrate the relevance of algorithms and monitor production
Present results at weekly data science meetings and participate in team brainstorming sessions
Liaise with other teams to refine use cases, user experience, and integration methods

Fulltime

Data Scientist - AI Marketplace Platform

As part of our Data Science team (50+ people), your main mission will be to prot...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Background in machine learning, mathematics, computer science (or a related field)
3 years of experience in a similar position
Significant experience in applied ML in a business setting
Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
Proficient in Python, Tensorflow, and/or PyTorch
Pragmatic, data-driven, and business-oriented with good team spirit
Like to take ownership of projects and are curious
Have a positive attitude: respect and kindness are part of your values

Job Responsibility

Prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams
Analyze and prepare data, prototype algorithms
Put them into production in collaboration with Data Engineers and development teams
Create dashboards to illustrate the relevance of algorithms and monitor production
Present results at weekly data science meetings and participate in team brainstorming sessions
Liaise with other teams to refine use cases, user experience, and integration methods

Fulltime

Data Scientist Senior - AI Marketplace Platform

As part of our Data team (60+ people), your main mission will be to prototype, i...

Location

France , Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Background in machine learning, mathematics, computer science (or a related field)
6-8 years of experience in a similar position
Significant experience in applied ML in a business setting
Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
Proficient in Python, Tensorflow, and/or PyTorch
Pragmatic, data-driven, and business-oriented with good team spirit
Like to take ownership of projects and are curious
Positive attitude: respect and kindness are part of your values

Job Responsibility

Prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams
Analyze and prepare data, prototype algorithms
Put them into production in collaboration with Data Engineers and development teams
Create dashboards to illustrate the relevance of algorithms and monitor production
Present results at weekly data science meetings and participate in team brainstorming sessions
Liaise with other teams to refine use cases, user experience, and integration methods

Fulltime

Data Scientist Senior - AI Marketplace Platform

As part of our Data team (60+ people), your main mission will be to prototype, i...

Location

France , Paris or Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Background in machine learning, mathematics, computer science (or a related field)
6-8 years of experience in a similar position
Significant experience in applied ML in a business setting
Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
Proficient in Python, Tensorflow, and/or PyTorch
Pragmatic, data-driven, and business-oriented with good team spirit
Like to take ownership of projects and are curious
Have a positive attitude: respect and kindness are part of your values

Job Responsibility

Analyze and prepare data, prototype algorithms
Put them into production in collaboration with Data Engineers and development teams
Create dashboards to illustrate the relevance of algorithms and monitor production
Present results at weekly data science meetings and participate in team brainstorming sessions
Liaise with other teams to refine use cases, user experience, and integration methods

Fulltime

Senior Data Scientist

As part of Microsoft AI, we run Microsoft’s unified monetization platform across...

Location

China , Beijing

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master's Degree in related field AND 3+ years data-science experience OR Bachelor's Degree in related field AND 5+ years data-science experience OR equivalent experience
5+ years of professional experience using analytics to solve product or business problems in data science, applied research, or related roles
3+ years of experience in the digital advertising, e-commerce, marketplace, or online platform industry
Demonstrated track record of driving measurable business impact through data science initiatives
Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
Experience with cloud platforms (Azure preferred) and big data technologies
Solid understanding of statistical modeling, predictive analytics, and experimentation design
Excellent communication and stakeholder management skills
Proficient English communication oral or in written

Job Responsibility

Define and optimize marketplace health metrics (e.g., supply-demand balance, auction dynamics, fill rates, match rates) to ensure efficiency and revenue protection
Monitor and diagnose marketplace anomalies, identify root causes, and implement solutions to maintain stability and uncover growth opportunities
Design troubleshooting frameworks and explore AI-driven solutions to improve live marketplace operations
Lead experimentation and A/B testing programs to evaluate pricing, matching, and prediction models, driving performance improvements
Develop scalable data products, pipelines, and automated reporting systems to support analytics and machine learning initiatives
Build self-service dashboards and tools that enable cross-functional teams to make data-informed decisions
Partner with stakeholders to translate business needs into actionable insights, influence product strategy, and present recommendations to senior leadership

Fulltime

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

New

Senior Principal Architect

We are seeking a deeply technical Senior Principal Architects to define and driv...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science or related technical field AND 15+ years of professional software engineering experience, or equivalent practical experience
8+ years of senior technical leadership experience influencing engineers, technical leads, architects, applied scientists, or cross-functional engineering teams across complex platform or product areas
Proven experience architecting and delivering large-scale production systems with meaningful reliability, scalability, latency, correctness, availability, security, and operational requirements
Deep technical experience in one or more of the following platform areas: AI/ML systems, agentic systems, model-serving infrastructure, decisioning systems, distributed systems, data platforms, workflow platforms, risk platforms, security platforms, or Trust & Safety systems
Experience building or technically leading production AI/ML systems, including exposure to modern AI patterns such as LLM-based workflows, retrieval-augmented generation, model orchestration, automated reasoning, human-in-the-loop systems, AI-assisted operational tooling, or agentic workflows
Strong understanding of the engineering requirements for deploying AI or decision systems in production, including evaluation, observability, quality measurement, rollout safety, fallback behavior, latency/cost tradeoffs, drift detection, explainability, governance, and operational reliability
Experience designing high-integrity systems where decisions must be auditable, reproducible, explainable, governed, and secure, especially when handling sensitive signals, advertiser impact, policy enforcement, risk decisions, or compliance-sensitive workflows
Ability to drive clarity from ambiguity, define technical direction, create reusable platform abstractions, and influence execution across multiple teams without relying on direct management authority
Strong written and verbal communication skills, including the ability to explain architecture, tradeoffs, risks, sequencing, and technical strategy to senior engineering, science, product, policy, security, and business leaders

Job Responsibility

AI Platform Architecture and Technical Strategy
Define the long-term architecture for the Ads Trust & Safety AI Platform across ingestion, signal acquisition, entity intelligence, retrieval, model orchestration, agentic workflows, decisioning, enforcement, human review, audit, and measurement
Translate broad Trust & Safety, Risk, Fraud, Security, and Policy needs into reusable platform capabilities
Establish reference architectures, design principles, technical standards, and engineering patterns for high-integrity AI and decisioning systems
Drive architecture choices across latency, throughput, quality, cost, explainability, governance, reliability, and operational safety
Identify critical platform gaps and create a roadmap that balances near-term delivery with long-term leverage
Deep Research Agents and AI-Assisted Investigation
Architect platform for Deep Research Agents that investigate domains, landing pages, advertisers, business entities, ownership patterns, web presence, reputation, policy risk, and fraud signals
Architect workflows that combine retrieval, crawling, structured evidence extraction, LLM reasoning, policy grounding, risk scoring and human in the loop
Architect guardrails for agentic systems, including source provenance, confidence scoring, hallucination controls, audit logs, escalation paths, and human override

Fulltime

Technical Architect - Business Applications

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United States , Boston

Salary:

250000.00 - 450000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

Master's or PhD in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent practical experience.
10+ years of hands-on engineering experience, with a track record of technically leading and delivering large-scale assistant or autonomous systems
Strong foundation in machine learning and statistical modeling, including clustering, classification, regression, decision trees, neural networks, SVMs, and anomaly detection, with deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, bias-variance tradeoffs, and offline vs. online metrics.
Proven experience building and scaling production ML and AI systems, including LLMs, RAG architectures, embeddings, retrieval-based systems, and multi-agent or agent-based system design.
Hands-on experience designing, training, tuning, and deploying models for ranking, prediction, recommendation, forecasting, classification, or NLP use cases.
Experience with cloud platforms (AWS, Azure, Google Cloud), microservices, containerization (Docker, Kubernetes), and DevOps
Demonstrated technical leadership, including setting direction, influencing across teams, and elevating the work of other engineers.
Experience in advertising, marketplaces, e-commerce, travel, or similar data-rich, decision-driven platforms is a strong plus.

Job Responsibility

Develop and oversee technical strategy for Roku's platform that support diverse business applications.
Drive the AI-native transformation of Roku's advertising business operations, identifying high-leverage opportunities and influencing roadmap, architecture, and system design across multiple teams.
Start from the needs of internal engineers and business operators, bringing a creative and strategic approach to simplifying systems and introducing practical, high-impact solutions.
Work closely with advertising business stakeholders to identify needs, surface high-impact opportunities, and translate operational pain points into ML and agentic AI solutions.
Design and ship production ML and agentic systems end-to-end, including recommendation, personalization, ranking, forecasting, anomaly detection, and multi-agent or agent-to-agent workflows, embedded directly within product and operational systems where they drive decisions.
Apply GenAI and LLMs to create measurable value, building and scaling Retrieval Augmented Generation (RAG) pipelines, prompt orchestration, evaluation frameworks, and guardrails, with a focus on reliability and outcomes over hype.
Translate ambiguous business problems into production solutions, partnering with engineers, data scientists, product managers, and business teams to ground ML and AI work in real operational impact.
Build and operationalize evaluation loops covering precision and recall, calibration, drift detection, and human-in-the-loop systems, and define the dashboards and Service Level Objectives (SLO) that tie model performance to business outcomes.
Provide technical leadership across the broader ML and AI surface area, raising the bar for engineering rigor, mentoring engineers, and shaping how the organization thinks about AI-native systems.

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Local benefits including healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

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Data Scientist - AI Marketplace Platform

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