Senior Business Intelligence Analyst

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Lead

Technical Product Manager

Principal Applied Data Scientist

Senior Product Manager - Checkout

Director, Data Science

Sr. Finance Manager – International Finance Transformation

Java Backend Engineer

Android - Sr/Staff Software Engineer

Role Description: <ul><li>The Continuous Improvement EMIA team reports to Operations Automotive EMIA.</li><li>By providing new generation digital solutions to our Operational teams across EMIA, our team creates full transparency and speed in the ongoing digital &amp; lean transformation(s), which will enable all involved functions to leverage data to develop business insights and roadmap updates based upon clearly arranged and understandable data. Due to the extended scope, focusing also on the connecting processes from Supplier(s) to Manufacturing ending at the Customer(s) (internal and external) we will function as ‘the’ differentiator for our Company.</li><li>The Data Scientist Automotive EMIA will report to the Smart Factory Leader Automotive EMIA.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Lead projects and work together with our Automotive EMIA Operations plants, internal (IT, , Corporate Technology, CoE, SC, ..) and external partners in the area of Smart Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMIA Strategy.</li><li>Lead Smart Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy)</li><li>·Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems.</li><li>Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of datasets, create visualizations to aid in understanding data.</li><li>Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners.</li></ul>&nbsp;Requirements: Desired candidate &amp; Qualification <ul><li>Good understanding of a technology driven manufacturing company.</li><li>Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.</li><li>Experienced with data visualization tools like PowerBi, Tableau, ThingWorx,..</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Development experience in programming languages R, Python.</li><li>Knowledge, experience in JAVA scripting</li><li>Excellent pattern recognition and predictive modelling skills.</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks and deep learning etc.</li><li>Experience in technologies like, Jupyter Notebooks, Numpy, Pandas, Seaborn, Scikit-learn, PyTorch and TensorFlow.</li><li>Exposure to recent developments in Deep Learning, Gen AI, Agentic AI domain.</li><li>Database skills, on-premises and cloud based.</li><li>Experience in AWS is an advantage, functional knowledge of AWS platforms such as Sagemaker, S3, and RedShift.</li><li>Excellent presentation skills in both spoken en written English.</li><li>&nbsp;Excellent and strong communicator</li><li>The ability to translate, explain and bring, complex data science topics to an easy understandable level, speeding up acceptance level in general.</li><li>Bachelor or master’s in data science</li><li>Team player with a solution focused problem-solving mentality.</li><li>Change agent with high Execution level, including training and coaching talents.</li><li>Passioned about the combination of Technology, Data, Analytics and Statistics with link to Quality, Product and Process Engineering</li><li>Inspired by and searching actively for new technologies and methods.</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: Program Development &amp; Strategy: <ul><li>Design and implement a holistic Continuous Improvement framework tailored to the Talent Hub’s global operations which enhances the existing foundation</li><li>Define revised vision, roadmap, and priorities aligned with business goals and transformation initiatives</li><li>Ensure that Lean principles, a CI mindset and agility are embedded into the DNA of the Talent Hub to drive performance and cost efficiency.</li></ul> Culture &amp; Capability Building: <ul><li>CI mindset across all functions and teams within the AUT Talent Hub including Integrated Service Excellence &amp; Business Analytics.</li><li>Develop and deliver in collaboration with the our client Practitioners and Experts training programs, workshops/Kaizen Events as well as coaching to build strong CI capabilities.</li></ul> Requirements: <ul><li>MBA with focus on Supply Chain, Operations or Quality from a Tier-1 Institute (like IIMs/ IITs/ NITs/ Nittie/ SP Jain, etc.)</li><li>3-5 years of work experience in Supply Chain, Operations or Continuous Improvement roles&nbsp;</li><li>Proven experience with Lean principles</li><li>Certification in Lean, Six Sigma or similar preferred</li><li>Excellent communication and stakeholder engagement skills.</li><li>Strong analytical, facilitation and change management skills&nbsp;</li><li>Experience in global/matrixed environments</li><li>Very deep knowledge on Supply Chain Management Processes</li></ul>

Responsibilities: <ul><li>Collaborate with stakeholders to define product requirements and roadmap.</li><li>Translate customer needs into clear and actionable technical specifications.</li><li>Write and refine business requirements and acceptance criteria.</li><li>Work closely with product managers to prioritize the backlog in JIRA.</li><li>Work closely with engineering teams to ensure successful and timely product development and delivery.</li><li>Act as the primary liaison between business stakeholders, clients, and technical teams.</li><li>Run cross-functional meetings and facilitate decision-making.</li><li>Provide transparency on product status, risks, and dependencies.</li><li>Review and test deliverables to ensure they meet business requirements.</li></ul> Requirements: <ul><li>Strong technical background with knowledge of blockchain technology and distributed systems.</li><li>Experience with Agile/Scrum methodologies and product management tools such as JIRA.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and leadership abilities.</li><li>Strong organizational and facilitation skills.</li><li>Ability to work effectively in a fast-paced, dynamic environment.</li><li>Collaborative team player with the ability to influence without authority.</li></ul>

Role Description: <ul><li>Develop and own the data science roadmap that aligns with our client business goals.</li><li>Define success metrics and oversee the entire lifecycle of data initiatives from concept to production deployment.</li><li>Architect, develop, and deploy state-of-the-art machine learning models.</li><li>Champion best practices in model development, validation, and monitoring in production environments.</li><li>Partner with product, engineering, and business teams to translate business requirements into data-driven solutions.</li></ul> Responsibilities: <ul><li>Provide technical leadership and mentor the data science team.</li><li>Provide technical leadership and mentor the data science team.</li><li>Architect and provide production monitoring and support for our client ML services.</li><li>Stay ahead of industry trends by continuously evaluating emerging technologies and methodologies in data science and machine learning.</li><li>Represent our client technical excellence through publications, presentations, and participation in industry events.</li></ul> Requirements: <ul><li>10+ years of professional experience in data science with a proven track record in building and supporting production grade ML systems.</li><li>Must be highly proficient in Python with hands-on experience in machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Experience working with large-scale datasets and distributed computing platforms like GCP.</li><li>Strong understanding of ML lifecycle and MLOps practices.</li><li>Experience with monitoring tools like Prometheus, Grafana and logging systems e.g. ELK stack.</li></ul>

Responsibilities: Deep Client Focus: <ul><li>Define playbook and advocate for demand with product on client needs.</li><li>Align on key deals that are priorities for critical verticals.</li><li>Bring strategic initiatives that are relevant to the Sales Team. Execute on support related to client engagement/outreach for the key client cohorts.&nbsp;</li></ul> Drive Deals that Accelerate Branded Checkout Volume:&nbsp; <ul><li>Take ownership of ensuring successful sales and account expansion for branded checkout deals on a large scale.</li><li>Your expertise and strategic approach will contribute to the growth and success of our organization.&nbsp;</li></ul> Relevant Expertise for Strategic Initiatives:&nbsp; <ul><li>Serve as a branded payments expert for new strategic initiatives, including areas such as UX optimization, presentment, conversion rate, and innovative ecommerce solutions.&nbsp;</li><li>Your insights and guidance will shape the direction and success of these initiatives.&nbsp;</li></ul> Influence Product Roadmap:&nbsp; <ul><li>Collaborate with cross-functional teams to influence the product roadmap of our broader Checkout team.</li><li>Your expertise will be vital in aligning the domain teams with the evolving needs of merchants, encompassing consumer experience and product performance.&nbsp;</li></ul> Consult and Articulate Value:&nbsp; <ul><li>Work closely with commercialization teams to consult on and influence the sales positioning of products.</li><li>Your ability to articulate clear value propositions for merchants will be instrumental in driving adoption and success.&nbsp;</li></ul> Partnership Development:&nbsp; <ul><li>Take an active role in developing partnerships to address the needs of in the market. By forging strategic alliances, you will contribute to fulfilling the requirements of our business.&nbsp;</li></ul> Navigate Complexity:&nbsp; <ul><li>Navigate complex large enterprise client requirements, experiences and nuances related to checkout.</li><li>By ensuring our solutions meet tailored requirements, you will help maintain robust adoption and performance.&nbsp;</li></ul> Establish Thought Leadership:&nbsp; <ul><li>Position as a thought leader in enabling global innovation for large enterprises and marketplaces.</li><li>Through active engagement, industry insights, and thought leadership initiatives, you will strengthen our reputation in the market.&nbsp;</li></ul> Strengthen Organizational Systems:&nbsp; <ul><li>Contribute to the improvement and "hardening" of systems employed by the broader organization.&nbsp;</li><li>This involves areas such as branded payment processing and performance, sales motions, and upselling.&nbsp;</li><li>Your expertise will help optimize these systems and ensure their effectiveness.&nbsp;</li></ul> Requirements: To excel in this role, the following skills, experience, and education are required: <ul><li>Payments Industry Expertise: A minimum of 8+ years of experience in the payments industry, particularly in branded checkout experiences. Your deep understanding of the industry landscape and trends will contribute to your success in this role.&nbsp;</li><li>Business-to-Business Sales and Relationship Building: Demonstrated experience of 5+ years in business-to-business sales, relationship building, and business development. Your ability to build strong partnerships and drive successful sales outcomes will be essential.&nbsp;</li><li>Partner Relationship Development: Proven track record in identifying, developing, and contracting partner relationships within an enterprise context. Your experience in forging strategic partnerships will be instrumental in meeting business objectives.&nbsp;</li><li>Enterprise Merchant and Marketplace Expertise: Hands-on experience working with the processing and payout needs of enterprise merchants and marketplaces. Your understanding of their unique requirements and challenges will enable you to provide effective solutions.&nbsp;</li><li>Leadership skills: Demonstrated success building teams and effectively leading cross-functional organizations.&nbsp;</li><li>Effective Communication Skills: Adaptable and eloquent communicator with the ability to effectively engage with stakeholders at various levels, including product teams, engineering teams, and clients. Your communication skills will be essential in driving collaboration and aligning objectives.&nbsp;</li><li>B2B and Product Software Proficiency: Experience with B2B and product software tools, including but not limited to Powerpoint, Salesforce, Jira, and Sharepoint. Your proficiency in utilizing these tools will enhance your productivity and effectiveness in the role.&nbsp;</li><li>Preferred Buyer Experience: Previous experience as a buyer of payment services is preferred. Your firsthand understanding of the buyers perspective will enable you to empathize with merchants and provide valuable insights.&nbsp;</li></ul>

Responsibilities: Strategic Leadership:&nbsp; <ul><li>Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.</li></ul> Team Management:&nbsp; <ul><li>Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.</li></ul> Advanced Research Direction:&nbsp; <ul><li>Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage.</li></ul> Machine Learning and AI Solutions:&nbsp; <ul><li>Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems.</li></ul> Data Collection and Preparation:&nbsp; <ul><li>Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.</li></ul> Data Visualization Strategy:&nbsp; <ul><li>Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.</li></ul> Cross-functional Collaboration:&nbsp; <ul><li>Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.</li></ul> Model Deployment and MLOps:&nbsp; <ul><li>Oversee the deployment of machine learning models into pro duction environments, ensuring scalability and reliability.</li></ul> Documentation Standards:&nbsp; <ul><li>Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.</li></ul> Budget and Resource Management:&nbsp; <ul><li>Manage departmental budget, resource allocation, and infrastructure needs for data science operations.</li></ul> Ethical AI Governance:&nbsp; <ul><li>Develop and enforce ethical guidelines and best practices for AI development and deployment.</li></ul> Requirements: <ul><li>Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.</li><li>10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.</li><li>Demonstrated experience in managing and scaling data science teams of 15+ professionals.</li><li>Proven record of delivering high-impact AI and ML solutions that have driven significant business value.</li><li>Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.</li><li>Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.</li><li>Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.</li><li>Strong business acumen with the ability to translate complex technical concepts into business value.</li><li>Excellent communication and leadership skills, with experience presenting to executive leadership.</li><li>Experience working in a global or multicultural environment.</li><li>Record of successful collaboration with product, engineering, and business teams.</li><li>Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.</li></ul>

Responsibilities: <ul><li>Depending on home location, travel to our locations in Asia or the US, partnering with our teams around the globe to create a roadmap of systems and process integration with the goal of a more standardized approach to financial reporting and analytics across the enterprise</li><li>Be a Change Leader.&nbsp;Partner with IBU Leadership, company Finance, and IT to drive initiatives for clear business reporting&nbsp;</li><li>Create a roadmap for previously acquired businesses to be fully integrated into the enterprise, with a standardized approach to driving business decisions</li><li>Partner with IBU Finance Leadership to develop a future state financial team structure with clearly defined roles, responsibilities and expectations aligned with enterprise strategy execution</li><li>Clearly define commercial spend types in the IBU P&amp;L, and implement a plan for standardization and optimization of accounting for the different kinds of market investment leading to a clearer picture of investment return</li><li>Establish a framework for current and future state master data needs to support clear, consistent reporting</li><li>Define procedures and reporting needs to get to a clear profitability picture across the enterprise at the product and customer level</li><li>Develop and maintain strong relationships at all levels of the organization&nbsp;</li><li>Continuously learn the business including competitive landscape and operational strategies as you work with members across functions to establish future state system, people, and process support needs</li><li>Partner with finance and international IBP (Integrated Business Planning) leadership to create a roadmap and execution plan to align systematic forecasting across company&nbsp;</li><li>Participate on various project teams as needed</li></ul> Requirements: <ul><li>Bachelor’s degree in accounting or finance required</li><li>Seven or more (7+) years of accounting and finance experience required; experience in strong finance business partnering cross-functionally in an international environment preferred</li><li>Strong systems background – ability to connect business needs to system and process.</li><li>Knowledge of SAP including Business Planning and Consolidation tools and Power BI preferred.</li><li>Experience and passion for creating a vision of the future through leading, coaching and mentoring others</li></ul>

Responsibilities: <ul><li>Collaborate with team, high availability, concurrent and fault tolerant software systems.</li><li>Significantly contribute to development of Aladdin’s global, multi-asset trading platform.</li><li>Work with product management and business users to define the roadmap for the product.</li><li>Design and develop innovative solutions to complex problems, identifying issues and roadblocks.</li><li>Apply validated quality software engineering practices through all phases of development.</li><li>Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support.</li><li>Be a leader with vision and a partner in brainstorming solutions for team productivity, efficiency, guiding and motivating others.</li><li>Drive a strong culture by bringing principles of inclusion and diversity to the team and setting the tone through specific recruiting, management actions and employee engagement.</li><li>For VP Level: In addition to above, a VP level candidate should be able to lead individual projects priorities, deadlines and deliverables using AGILE methodologies.</li></ul> Requirements: Qualifications: <ul><li>B.S. / M.S. degree in Computer Science, Engineering, or a related subject area</li><li>For VP Level: 8+ years of proven experience</li><li>For Associate Level: 4+ years of experience</li></ul> Skills and Experience: <ul><li>A proven foundation in core Java and related technologies, with OO skills and design patterns</li><li>Track record building high quality software with design-focused and test-driven approaches</li><li>Good hands-on object-oriented programming knowledge in Java, Spring, TypeScript, JavaScript, Microservices, Angular (2.0+), React.</li><li>Strong knowledge of Open-Source technology stack (Spring, Hibernate, Maven, JUnit, etc.).</li><li>Experience with relational database and/or NoSQL Database (e.g., Apache Cassandra)</li><li>Great analytical, problem-solving and communication skills</li><li>Some experience or a real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions.</li><li>For VP Level: In addition to the above, a VP level candidate should have experience leading development teams, projects or being responsible for the design and technical quality of a significant application, system, or component. Ability to form positive relationships with partnering teams, sponsors, and user groups.</li></ul> Nice to have and opportunities to learn: <ul><li>Exposure to building microservices and APIs ideally with REST, Kafka or gRPC.</li><li>Experience working in an agile development team or on open-source development projects.</li><li>Experience with optimization, algorithms or related quantitative processes.</li><li>Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis</li><li>Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud</li><li>Experience with DevOps and tools like Azure DevOps</li><li>Experience with AI-related projects/products or experience working in an AI research environment.</li><li>A degree, certifications or opensource track record that shows you have a mastery of software engineering principles.</li></ul>

The Role As a Staff Software Engineer, you will act as a subject matter expert. We are looking for technologists with the highest levels of technical talent, programming, and communication skills with a keen desire to deeply understand our product and how to make our systems stronger and more resilient. &nbsp;Responsibility <ul><li>Lead engineering efforts and team level processes by defining outcomes for others, refining ongoing processes, and providing technical advice to senior leaders on systems, solutions, challenges, and strategy.</li><li>Evangelist for technical standards, engineering best practices, and quality across larger Venmo team , Inc. Determines the technical tasks that other engineers will follow.</li><li>Support end-to-end ownership of design, implementation and operational excellence of software components while proactively improving existing structures and processes.</li><li>Contribute to the technical engineering roadmap by completing quality and thorough assessments of implementation alternatives and their associated trade-offs and providing recommendations.</li><li>Be consistently solutions-focused while contributing to the vision of domain and larger Venmo technical engineering roadmap.</li><li>Exercises judgement in reconciling diverse and competing priorities to identify optimal solutions to problems.</li><li>Leverage strategic thinking and experience to look ahead and anticipate consequences and risks linked to implementation choices; able to identify patterns to reduce repetition into meaningful general solutions.</li><li>A key voice on team-level processes (ex code &amp; design reviews) and oversees projects, ensuring an accurate, complete, timely and operable solution is delivered.</li><li>Serves as an expert to resolve technical inquiries of others.</li><li>Be able to provide technical leadership for a team with limited guidance from management or senior teammates.</li><li>Strong skills interacting and tailoring communication with various technical and non-technical stakeholders, such as product, support, finance operations, compliance and legal.</li></ul> Requirement <ul><li>At least 5+ years’ Experience developing and maintaining consumer-facing mobile applications at scale.</li><li>Strong Kotlin skills &amp; knowledge of multi-threaded, asynchronous code.</li><li>Deep understanding and knowledge around consuming GraphQL and REST APIs from Mobile applications.</li><li>Passionate about mentoring and developing software engineers.</li><li>Strong understanding of testing best practices and familiarity with at least one testing framework for Mobile Development. Skilled at writing Unit and Automation tests.</li><li>Strong knowledge of common design patterns, algorithms, and object-oriented programming with expertise in design patterns such as MVC and MVVM.</li></ul>

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12 roadmap Jobs found

Senior Business Intelligence Analyst

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Lead

Technical Product Manager

Principal Applied Data Scientist

Senior Product Manager - Checkout

Director, Data Science

Sr. Finance Manager – International Finance Transformation

Java Backend Engineer

Android - Sr/Staff Software Engineer

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12 roadmap Jobs found

Senior Business Intelligence Analyst

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Lead

Technical Product Manager

Principal Applied Data Scientist

Senior Product Manager - Checkout

Director, Data Science

Sr. Finance Manager – International Finance Transformation

Java Backend Engineer

Android - Sr/Staff Software Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.