Data Scientist Senior - AI Marketplace Platform Job at Mirakl (Bordeaux)

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

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

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

New

Distinguished Scientist

In this role, you will define and drive the technical vision for long-horizon, s...

Location

United States

Salary:

270700.00 - 432300.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

A PhD in Computer Science, Electrical Engineering, or a related field—or equivalent experience—with emphasis in areas such as foundational LLMs, agentic AI, reinforcement learning, AI planning, or natural language processing
10+ years of hands-on experience building and deploying large-scale AI systems, including at least several years focused on agent-based systems, multi-agent collaboration, or long-horizon conversational assistants
Deep, current expertise in generative and agentic AI, including multimodal foundation models, transformers, advanced reasoning models, and post-training techniques (SFT, DPO, RLHF/RLAIF, preference learning, etc.)
A track record of leading ambiguous, cross-functional initiatives from concept to production—framing the problem, shaping data strategy, designing models and evaluation, and iterating based on live metrics and user feedback
Demonstrated impact in the research community through publications at top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or widely used open-source contributions in LLMs, agentic frameworks, or related areas
Experience designing evaluation and supervision frameworks for long-horizon agents, ideally in regulated or high-stakes domains such as finance, healthcare, or large-scale marketplaces, with an emphasis on safety, fairness, and trust
Strong technical leadership skills: you mentor senior scientists and engineers, create clarity amid ambiguity, and build alignment across research, engineering, product, and leadership stakeholders
Excellent communication skills with the ability to distill complex ideas into clear narratives for executives, cross-functional partners, and external audiences

Job Responsibility

Own the end-to-end research and technical strategy for long-horizon agentic experiences across shopping, financing, and professional workflows, in close partnership with the Agentic AI, data platform, and product teams
Design and advance LLM post-training and evaluation methods (e.g., SFT, preference learning, RLHF/RLAIF, long-context modeling) tailored to supervised, high-stakes journeys in a complex, regulated domain
Architect systems that combine persistent memory, tool use, and multi-agent collaboration to deliver consistent, context-rich guidance over long timelines
Translate Zillow’s heterogeneous data (text, voice, behavioral, and structured real-estate/transaction data) into agent-ready knowledge and signals, in partnership with data and platform teams
Collaborate with product and design to define success metrics, evaluation frameworks, and experiment plans for agentic experiences, including human-in-the-loop supervision and safety reviews
Operate as a senior IC with the option to lead a small pod (up to ~5 scientists/engineers) focused on long-horizon agentic systems, mentoring principal-level talent and setting a high technical bar
Represent Zillow’s work externally through publications, talks, open-source contributions, and thoughtful engagement with the research community, helping position Zillow as a destination for top agentic AI talent

What we offer

competitive base salary
eligibility for equity awards

Fulltime

Senior Engineering Manager, ML Platform

We’re looking for hands-on builders–intellectually curious, deeply technical lea...

Location

United States , San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA

Salary:

255000.00 - 345000.00 USD / Year

Whatnot

Expiration Date

Until further notice

Requirements

4+ years of engineering management experience developing production machine learning systems at consumer-scale loads
Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience
5+ years of hands-on software engineering experience building and maintaining production systems for consumer-scale loads
1+ years of professional experience developing software in Python
Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams
Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis
Experience working with with ML-specific tools and frameworks such as MLFlow, LitServe, TorchServe, Triton
Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink
Professionalism around collaborating in a remote working environment and well tested, reproducible work

Job Responsibility

Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more
Guide the prototyping, deployment, and productionization of novel ML architectures that directly shape user experience and marketplace dynamics
Help design and scale inference infrastructure capable of serving large models with low latency and high throughput
Oversee and evolve real-time feature pipelines that feed both our online and offline stores, ensuring single-second feedback from behavioral signals, high reliability, and model training fidelity
Drive feature platform improvements and expand scope to cover non-ML use cases such as fraud rules where point-in-time backtesting is also critical
Lead the development of distributed training and inference pipelines leveraging GPUs and both model and data parallelism
Optimize system performance by managing resource utilization and developing intelligent feature caching strategies
Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features and model iteration
Roll out ever-better ergonomics around model training and deployment
Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem

What we offer

Generous Holiday and Time off Policy
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement

Fulltime

New

Lead Data Scientist MSAT GCC

Work with global multidisciplinary teams to accelerate data-driven process under...

Location

India , Bengaluru

Salary:

Not provided

GSK

Expiration Date

Until further notice

Requirements

Preferred Level of Education: Masters degree or PhD in data science, computer science, statistics, mathematics, or related field
10-16 years of experience in pharmaceutical or biopharmaceutical MSAT in applying data science and/or programming within industry and/or university, preferably within pharmaceutical industry in multidisciplinary multicultural teams
Fluent in English (verbal and written)
Strong written/oral communication and presentation skills with proven experience of communicating at different levels across an organisation including communicating complex information in logical and simplified terms
Strong programming skills with at least one scientific programming language e.g. Python, R, MATLAB
Expertise in applying data science within the pharmaceutical industry
Strong knowledge of relevant regulations and guidelines, e.g, stability guidelines (ICH, USP), relevant chapters from Eur.Ph.
Long-term experience with Health Authorities such as FDA, EMA, etc.

Job Responsibility

Act as an essential partner within cross-functional global teams by providing data science expertise to design, develop, and optimize business-impacting data solutions
Actively participate in all stages of model design and development (from data collection, data quality control, model building, model validation, testing, and model monitoring & lifecycle strategy) adhering to business leadership standards
Design, build, and maintain highly complex quantitative and analytical models to inform/drive strategic direction and/or improve business performance
Lead the data analysis, and exploration, reporting and communication of results and conclusions in the form of technical documents and presentations in accordance with regulatory and internal guidance
Review the data science element of technical documents as a Subject Matter Expert
Influence GSK internal policies, guidelines and SOPs to ensure appropriate data evaluation
Actively participate with the wider data science network (MSAT, Quality, TRD and R&D, as well as with the GPS community) to develop, align and standardize data evaluation methodologies and conventions
Upskill the organisation through coaching, mentoring, and training of non-experts and junior statisticians and data scientists as required on the appropriate application of data science, statistics, and data evaluation tools
Manage external and internal collaborations with statistical and data science thought leaders and groups in other functions and divisions
Monitor and assess new and emerging industry trends and evolving regulatory expectations for data science technologies (such as Machine/Deep Learning and Artificial Intelligence)

What we offer

Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes

Fulltime

New

SVP, Strategic Growth

Genius Sports is seeking an exceptional senior executive to originate, structure...

Location

United States , Los Angeles

Salary:

300000.00 USD / Year

Genius Sports

Expiration Date

Until further notice

Requirements

Proven track record of closing large, complex, strategic partnerships
Deep, established relationships with C-suite executives across AI, social platforms, and the broader technology ecosystem
Exceptional commercial judgment and deal structuring capability
High intellectual agility, with the ability to quickly master new markets and technologies
Executive presence, credibility, and influence with senior stakeholders
Combines strategic thinking with hands on execution

Job Responsibility

Lead partnerships in priority growth verticals
Own partnership strategy and deal execution
Source and close transformative deals
Build senior executive relationships
Translate Genius capabilities into new markets
Shape the Genius narrative externally
Drive cross functional deal execution
Identify and open new verticals over time

What we offer

variable compensation
eligibility for Genius Sports Group's benefits plan

Fulltime

New

Medical Scientific Liaison

GSK’s portfolio spans three product areas: vaccines, specialty and general medic...

Location

Indonesia , Jakarta Selatan

Salary:

Not provided

GSK

Expiration Date

Until further notice

Requirements

Medical Doctor will be an advantage
Have minimum 1-2 years’ working experience as MSL in pharmaceutical industry or related experience in other scientific organizations/institutions
Solid grounding in clinical, medical, and pharmaceutical science with the ability to rapidly assimilate specific and detailed knowledge in these areas. Understand of clinical development, statistical design, and analysis
Ability to develop professional scientific engagement plan with external experts
Effective communication skills and ability to tailor information to different audiences appropriately and have ability to communicate through multiple channels
Strong business mindset and ability to balance cross-functional objectives
A sense of curiosity and a passion for continuous learning and development
English ability – proficiency in read and written
Ability to travel at least 30% frequency

Job Responsibility

Engage in one-to-one scientific dialogue with external experts around GSK’s medicines and vaccines, enabling them to confidently discuss our portfolio with patients and the wider medical community and ensuring they are knowledgeable in identifying the right patient for the most appropriate medicines and vaccines
Act as the interface between the professional healthcare community and the internal GSK medical team and its affiliates to bring in value-added insights that inform GSK Medical, Commercial, and Research & Development activities
Maintain a level of expertise in the evolving scientific in the therapeutic area and in competitor medicines and vaccines
Respond to unsolicited requests for Medical Information from healthcare providers in a fair, factual, balanced, and scientifically rigorous manner via the appropriate and preferred channel. Disseminate important safety information to healthcare professionals as and when this emerges
Support GSK study teams/ Value Evidence Outcomes (VEO) teams with the provision of scientific education and enquiry management from investigators and staff engaged in GSK-supported studies e.g. Investigator-Sponsored Studies (ISS) or Supported Collaborative Study (SCS) and any other evidence generation projects

What we offer

Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes

Fulltime

Select Country

Data Scientist Senior - AI Marketplace Platform

Job Description

Job Responsibility

Requirements

Looking for more opportunities?

Data Scientist Senior - AI Marketplace Platform

Data Scientist Senior - AI Marketplace Platform

Staff Software Engineer, AI Agent Platform

Senior Data Scientist

Distinguished Scientist

Senior Engineering Manager, ML Platform

Lead Data Scientist MSAT GCC

SVP, Strategic Growth

Medical Scientific Liaison

Our AI answers in your language