Master data agent Job at Randstad (Poznań)

P2P Master Data Agent

Join our TUI Global Business Services (TGBS) Team as part of our Global Finance ...

Location

Tunisia , Sousse

Salary:

Not provided

TUI

Expiration Date

Until further notice

Requirements

Business University degree is advantageous
Excellent level of English and German is mandatory
Previous experience in AP department, administration, supplier or customer management
Ability to use MS Office tools such as Word, Outlook and Excel
ERP (enterprise resource planning) experience in SAP and Asterix/Atlas would be advantageous
Communication and influencing skills
Someone with proven numeric skills and accounting acumen
Someone with a methodical, organized approach towards the execution of the assigned tasks

Job Responsibility

Dealing with vendor master data set-ups and changes
Checking the details given in vendor master data requests against the source documents
Getting in touch with suppliers (‘Ringback procedure’) to verify vendor master data, in particular for English-speaking suppliers
Doing checks to ensure that data such as VAT IDs or company registration numbers are correct
Reviewing returned payments from vendors
Monitoring a number of Vendor Master email accounts and dealing with queries
Actively participating in team meetings to share information and look at priorities
Undertake other ad hoc activities as deemed necessary
Assisting with the Supplier accounts management, providing stakeholders the right support to the Accounts Payable cycle with accounting activities in accordance with the company policies
Maintain strong relationships with stakeholders and suppliers, communicate effectively, and propose improvements of any identified issues on supplier accounts will be further tasks of your role

What we offer

Attractive remuneration
Discretionary bonus schemes
Generous travel benefits
Extensive health & well-being support
Flexible working
Access the TUI Learning Hub
Opportunities to work on global projects and teams
Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation

Fulltime

Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI

Join the team shaping the future of AI at Scale. The Enterprise ML Research Lab ...

Location

United States , San Francisco; New York

Salary:

218400.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

3+ years of building with LLMs in a production environment
Clear experiences with constructing high quality data to use to improve an LLM/Agent
Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
PhD or Masters in Computer Science or a related field

Job Responsibility

Build synthetic data pipelines to generate enterprise environments to use for RL post-training
Create agents to convert traces from production into actionable insights to use to improve agents
Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms
Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend

Fulltime

Principal IS Architect, RapidResponse (Maestro)

The ideal candidate will have a proven track record of leadership and mentoring ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree with 5-6 years of experience in Supply Chain Business, Engineering, IT or related field OR Bachelor’s degree with 8 -10 years of experience in Supply Chain Technology, Supply Chain Business, Engineering, IT or related field
Strong functional and system knowledge in the following Kinaxis RapidResponse applications: Demand Planning, Supply Planning, MEIO, Capacity Planning, Distribution Requirements Planning, Master Production Schedule, Sales & Operations planning
8+ years of hands-on experience in Kinaxis RapidResponse systems using Demand, Supply, DRP, MEIO, Capacity planning, Process Orchestration with Command-and-Control Center
5+ years of experience working as a Maestro (RapidResponse) Solution Architect
Prior Solution developer experience of 2-3 projects on Kinaxis RapidResponse platform across industry verticals
Experience in various RapidResponse planning analytics like Netting, CTP, MLS, production wheel, campaign planning and Supply.AI
Facilitating business process design, requirements gathering, conducting fit gap analysis and ability to write and design technical solutions leveraging Maestro (RapidResponse) capabilities
Ability to provide Functional specifications and process flows, adopting Kinaxis RapidResponse platform to Development team, ensure requirements are tested and own the UAT, End user training, and Post deployment enhancements
Understanding of the solution development life cycle, including business requirements definition, review of functional specifications, development of test plans, testing, user training, and deployment
Develop and maintain System Architecture models (e.g. System Interaction diagrams) and reference implementations within systems of record (e.g. Portfolio Management and Enterprise Architecture tools)

Job Responsibility

Requirement gathering for Supply Chain Planning business processes, identifying potential areas of improvement and new development, automation of processes, reducing of cycle times and productivity improvement
Translate business requirements into clear fit gat analysis and actionable user requirements for configurations, design and implement in RapidResponse system
Design and develop technical specifications with Kinaxis RapidResponse - working on different planning modules like Demand Planning, Supply Planning, Capacity Planning, Sales & Operations Planning, Master Production Schedule, etc
Configure the supply chain planning systems to support business requirements and design resources including worksheets/workbooks, alerts, metrics, scorecards, dashboards, application of different control sets, etc. as per approved agile user stories and blueprint designs
Resolving complex data and analytic configurations to ensure that the solution produces the expected results
Develop and maintain System Architecture models (e.g. System Interaction diagrams) and reference implementations within systems of record (e.g. Portfolio Management and Enterprise Architecture tools)
Update solution documentation, workflows, and system configurations to ensure comprehensive understanding and facilitate knowledge transfer
Support data integration with multiple sources and target systems like SAP S/4 HANA using Data lakes and API architecture
Work with Kinaxis product vendors to optimize performance and automate processes for sustained value delivery
Leverage cutting-edge innovations in cloud technologies to achieve process efficiencies through automations using AI/ML, and agentic AI chatbots

Fulltime

Senior Manager - AI & Self-Healing Engine (Last Mile Delivery)

Join Walmart’s AI Revolution in Last-Mile Delivery. In Walmart’s Last-Mile Deliv...

Location

United States of America , Bentonville

Salary:

Not provided

Walmart

Expiration Date

Until further notice

Requirements

6+ years of experience in applied AL/ML, operations design, AI Agent product development, process automation, performance management mechanism / AI control tower development, or workflow engineering
Strong problem-solving skills and ability to translate data into operational impact
Proficiency in SQL and data visualization tools (e.g., Tableau)
Experience collaborating across product, operations, and technical teams
Effective communicator with an ability to explain complex ideas to non-technical audiences
Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

Job Responsibility

Define and map workflows across Spark’s last-mile operations where automation can be applied
Build orchestration frameworks to coordinate between AI agents and operations teams
Collaborate with engineering to implement agent-driven detection, root cause analysis, and resolution workflows for key exception types
Track system performance for auto-resolution rates, manual escalations, and intervention speed
Continuously improve workflows based on telemetry, operational feedback, and impact metrics
Create strategy, roadmap, and BRD documents partnering with Operations, Product, Engineering, and Data Science
Communicate project status updates (against goals) through narratives and business reviews to leadership and peers
Provide thought-leadership to Walmart LMD leadership and business partners in delivering Agentic AI and self-healing solutions

What we offer

medical benefits
vision benefits
dental coverage
401(k)
stock purchase
company-paid life insurance
PTO (including sick leave)
parental leave
family care leave
bereavement

Fulltime

Senior Manager, Platform Management - Community Experience

The CS Platform and Experience organization is responsible for designing the sup...

Location

United States

Salary:

232000.00 - 282000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

People leadership: Experience in managing and mentoring high-performing teams, with a focus on driving individual development and collective success
Strategic program management: Extensive experience managing large-scale, cross-functional programs and initiatives. You are skilled in overseeing multiple projects simultaneously, ensuring alignment with broader organizational objectives
Product and platform development: Experience solving complex problems with innovative technology solutions to improve customer experience and drive business results
Customer support expertise: Deep understanding of CS operations and experience in improving customer experience through innovative support design and execution
Data-driven decision-making: Strong ability to leverage data and analytics to drive insights, measure performance, and inform strategic decision-making. You should be comfortable working with data science and analytics teams
Exceptional communication skills: Strong ability to present ideas, strategies, and outcomes to executive leadership and cross-functional partners in a clear, compelling manner
Experience: Minimum of 15 years of progressive experience in customer support, management consulting, business operations or program management roles, with experience managing teams
Qualifications: BA/BS degree required
MBA or relevant Master's degree is preferred

Job Responsibility

Leadership and team development: Provide leadership and coaching to a team of CS Experience Managers and Platform Managers. You will be responsible for career development, performance management, and ensuring your team has the tools and resources to succeed
Drive strategy and execution: Collaborate with senior leadership to align your team’s initiatives with the broader CS strategy. You will ensure that your team is focused on high-impact projects that drive improvements in support experiences for Airbnb’s users and agents
Cross-functional influence: Ensure your team is working closely with Product, Operations, Policy, and Analytics teams to influence key business decisions and ensure that all support-related aspects of new products, services, and policies are thoughtfully designed and effectively executed
Monitor performance and impact: Oversee a portfolio of programs, projects, and technologies, provide decision-making support to your team, remove blockers to progress and provide leadership visibility
Foster innovation: Encourage your team to explore new approaches, tools, and technologies that can enhance both, the support experience and our ways of working. Specifically, understand the performance of core Airbnb product and services as it relates to customer experience and CS demand
influence partners across the company toward improved outcomes for the company and customers
Communicate results and insights: Regularly report to senior leadership on the progress and outcomes of key initiatives. Use data to illustrate the impact of your team’s work, and ensure there is a clear strategy for iterating and improving where necessary

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Data Scientist

Security represents the most critical priorities for our customers in a world aw...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Design, develop, evaluate, and ship production ML models and applied AI systems (including LLM- and agent-based approaches) for compromise detection, fraud, and anti-abuse scenarios
Own detection problems end-to-end: problem framing, data exploration, feature engineering, modeling, offline/online evaluation, deployment, and post-launch monitoring
Analyze large-scale identity and security telemetry to identify attacker behavior, quantify risk, and uncover new detection opportunities
Define and run rigorous experiments (e.g., A/B tests, shadow evaluations) and establish quality, monitoring, and responsible-AI standards for the models you own
Partner with engineering to ensure models are scalable, reliable, observable, and maintainable in production
Collaborate with product management, security researchers, and partner teams to translate ambiguous security problems into clear metrics, roadmaps, and shipped solutions
Communicate insights, results, and tradeoffs clearly to technical and non-technical stakeholders, using strong data storytelling and visualization
Contribute to the technical growth of the team through design reviews, mentoring, and raising the engineering and science bar

Fulltime

Sr. Associate Data Scientist

The Data Scientist is responsible for developing and implementing AI-driven solu...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree OR Bachelor’s degree and 3 to 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)

Job Responsibility

Develop analytics to address security concerns, enhancements, and capabilities to improve the organization's security posture
Collaborate with Data Engineers to translate security-focused algorithms into effective solutions
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify security patterns and anomalies
Design and implement security-focused analytics pipelines leveraging MLOps practices, generative AI, and agent-based architectures
Collaborate with data engineers on data quality assessment, data cleansing, and the development of security-related data pipelines
Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient security analytics
Generate reports, annotated code, and other project artifacts to document, archive, and communicate your work and outcomes
Share and discuss findings with team members practicing SAFe Agile delivery model

Fulltime

Threat Intelligence Manager

Security represents the most critical priorities for our customers in a world aw...

Location

United States , Redmond

Salary:

165600.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 6+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 8+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
OR equivalent experience.
3+ years people management experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Lead, coach, and grow a U.S.-based team of Threat Intelligence Security Analysts focused on tracking criminal threat actors, campaigns, infrastructure, and emerging trends.
Define the vision, strategy, and priorities for the team to deliver high-quality intelligence that drives customer protection and business impact.
Build and operationalize a hybrid human + agentic intelligence team, applying AI technologies, automation, and workflow innovation to improve scale, speed, and insight generation.
Foster an engineering-oriented culture that values technical depth, experimentation, continuous improvement, and measurable outcomes.
Partner across engineering, product, security research, detections, data science, and incident response teams to translate intelligence into protections, investigations, product improvements, and strategic decisions.
Drive production of clear, actionable intelligence outputs for technical teams, leadership, and external stakeholders, including actor assessments, campaign analysis, strategic reporting, and executive briefings.
Establish and maintain analytic standards, tradecraft, quality controls, and operating mechanisms for the team.
Develop trusted relationships across the intelligence community, including industry partners, external organizations, and agencies engaged in tracking criminal threat actors.
Represent Microsoft through customer engagements, industry forums, and presentations at security conferences and other external events.
Hire and develop diverse talent, build an inclusive and high-performing team culture, and create an environment where analysts can do their best work.

Fulltime

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Master data agent

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