Senior Data Scientist III - Agentic AI

Supervisor Assembly III

AVP – Evergreen Data Product Owner

Continuous Improvement Analyst III

Supply Chain Analyst III

Supervisor III, Production

Reliability Technician

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Role Description: <ul><li>Plans and establishes production work schedule to meet delivery times and best utilize company production capacity.</li><li>Initiate work orders and ensure that all products are produced to the specified specifications and ensure conformance to the schedule.</li><li>To manage the shift and all direct staff to ensure the smooth running of the production process, complying with the company’s Health and Safety procedures.</li></ul> Responsibilities:&nbsp; <ul><li>Plan, schedule, and manage production workflows to meet delivery timelines while ensuring all products conform to required specifications.</li><li>Supervise and lead shift teams, ensuring smooth production operations and strict adherence to all Health &amp; Safety guidelines within the plant.</li><li>Oversee material and production planning, including initiating work orders, maintaining inventory accuracy, and participating in stockroom and physical inventory processes.</li><li>Drive operational excellence through continuous improvement, supporting initiatives such as our client /Kaizen to enhance efficiency, quality, and overall production performance.</li></ul> Requirements: Leadership Experience:&nbsp; <ul><li>Deep understanding and professional experience of people management.</li><li>Excellent communication and convincing skills</li><li>Self-driven and detail-oriented</li><li>Desire to solve problems with analytical thinking</li><li>Good at people management and execution skills</li><li>Strong organizational skills and a team player</li></ul> Project Experience:&nbsp; <ul><li>Expert in material and production planning.</li><li>Knowledge of SAP</li><li>Quality and Environmental Management System knowledge</li><li>Excellent people management skills to develop and motivate direct reporting staff and to ensure that Health and Safety rules and regulations are adhered to during the shift in line with the companys Health and Safety policy.</li><li>Assist in maintaining stock rooms and inventory accuracy and participate in physical inventory counts.</li><li>Demonstrate customer customer-centric approach and adherence to customer expectations to promote a positive company image.</li><li>Play an active role in the our client plan/Kaizen initiative to achieve plans for future growth within the company.&nbsp;&nbsp;</li></ul> Education: <ul><li>Bachelor of Science or above degree and an engineering background.</li><li>Preferably Mechanical, Electrical/Electronics, and Industrial Engineer.&nbsp;</li></ul> Other Requirements:&nbsp; <ul><li>3-5+ years’ experience as a practitioner as an Engineer.</li><li>Knowledge in Mechanical, Electrical, and Pneumatic drawings.</li><li>Solid understanding of health and safety regulations and practices.</li><li>Strong decision-making and problem-solving skills.</li><li>Excellent communication and interpersonal skills.</li><li>Computer literate with capability in email, MS Office, and related communication tools.</li><li>Knowledge in various machines from Stamping, Molding, Plating, and Assembly.&nbsp;</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).</li><li>Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.</li><li>Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs.</li><li>Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking.</li><li>Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).</li><li>Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.</li><li>Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&amp;A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs. Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts.</li><li>Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring</li><li>Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.</li></ul> Requirements: <ul><li>Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 7+ years’ experience OR, in lieu of degree, and 9+ years experience with program or product management experience leading complex, cross-functional data or analytics programs.</li><li>7+ years of of experience managing programs or products, including: 5+ years of experience defining business needs, prioritizing data and analytics solutions, and coordinating cross-functional technical execution and 3+ years of experience working in data integration, modeling, warehousing, or big data environments—preferably supporting modeling or advanced analytics.</li><li>Demonstrated experience leading Agile or Scaled Agile programs (SAFe) across cross-functional teams.</li><li>Proven track record of enabling model or analytics platforms, data-as-a-product delivery, or Model Lifecycle Operations/Data Operations functions.</li><li>Agile or Product Owner certification (e.g., CSPO, SAFe PO/PM).</li><li>Broad understanding of credit risk, fraud, marketing analytics, regulatory modeling (e.g., CECL, Basel), or consumer lending data environments.</li><li>Experience working with large-scale data ecosystems, including cloud (AWS, Azure), data lakes, and metadata management tools.</li></ul>

Responsibilities: <ul><li>Facilitate, lead, or coach Kaizen and Kaizen events across the organization.</li><li>Work collaboratively with tool or element owners to implement Continuous Improvement tools.</li><li>Lead and audit Continuous Improvement tools.</li><li>Train teams in Continuous Improvement methodologies, tools, and transformation methods (e.g., 5S, TPM, Value Stream Mapping, VSM-D, CCF, 3P, Lean Manufacturing).</li><li>Facilitate and train teams for transformation Kaizen events in highly impactful areas or production cells.</li><li>Obtain internal certifications such as Novice, Apprentice, and Practitioner level in Continuous Improvement.</li><li>Provide coaching to Novice and Apprentice practitioners.</li><li>Train and coach teams on plant Key Performance Indicators (KPIs).</li><li>Report periodic progress on assigned tools, metrics, and initiatives.</li><li>Conduct capacity analysis and mentor production supervisors on managing line capacity.</li><li>Develop scenarios for capacity planning, including footprint analysis.</li><li>Apply advanced knowledge in line balancing and its implications for realistic planning (cross-training, validations, capacity planning, hiring requirements, etc.).</li></ul> Requirements: Knowledge &amp; Experience <ul><li>Bachelor’s Degree in Industrial Engineering or related field.</li><li>3–5 years of experience in continuous improvement, cost savings, or productivity improvement roles.</li><li>Lean certification required.</li><li>Green Belt or Black Belt certification is desirable.</li><li>Experience in process improvement, Six Sigma, and product/process qualification and validation.</li><li>Bilingual (English/Spanish).</li></ul> Skills <ul><li>Proficiency in Microsoft Office 365.</li><li>Strong skills in Excel (Pivot Tables, Charts, Macros), PowerPoint, MS Project, AutoCAD (or similar), Minitab, and simulation software.</li><li>Knowledge of problem-solving techniques.</li><li>Basic competency in creating dashboards using Power BI.</li><li>Basic knowledge of Power Automate or similar tools.</li><li>Ability to work under pressure with strong communication and teamwork skills.</li><li>Experience influencing all organizational levels to support an Operational Excellence culture.</li></ul>

JOB SUMMARYOur client’s business unit is seeking a motivated, highly analytical, and detail- oriented Supply Chain Analyst to join our Central Planning team. This role will manage, optimize, and develop capabilities in key areas of our supply chain, including End-to-End Stocking Policy, Safety Stocks, and Mode of Shipment for both raw materials and finished goods. The ideal candidate will leverage data and analytics to ensure efficient operations, seamless collaboration, and drive supply chain excellence. Key Responsibilities:<ul><li>Develop and implement an end-to-end Stocking Policy framework for both raw materials and finished goods for Malaysia and Philippines plants</li><li>Collaborate with cross-functional team and ensure alignment on the stocking policy</li><li>Align inventory strategies with modes of shipment to balance the cost, lead time, and service reliability</li><li>Adjust safety stock parameters based on shipment mode-specific lead times and transit variability</li><li>Work closely with the logistics team to ensure mode of shipment decisions support stocking and replenishment strategies</li><li>Recommend shipment mode adjustments in response to supply chain disruptions, capacity constraints, or changes in demand patterns</li><li>Conduct simulation analysis to provide the impact of changes to stocking policy and mode of shipment on leadtime, inventory, warehousing, and transportation cost</li><li>Ensure governance processes are in place to maintain data accuracy and consistency of stocking policy across Malaysia and Philippines plants and stakeholders</li><li>Drive continuous improvement initiatives to enhance stocking efficiency, optimize inventory, and cost, and enhance customer satisfaction</li><li>Support capability building by training supply chain teams on stocking policy concepts, tools, and governance processes</li><li>Follow up on block inventory and push owners to solve issues</li><li>Follow RMA closely on time</li></ul>&nbsp;&nbsp;<img src="//:0" height="6" width="696">Qualifications:&nbsp;What should your background look like:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor’s degree in supply chain, Operations Management, Industrial Engineering, or related field·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Minimum 10 years of experience in Supply Chain management.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5+ years working experience in Supply Chain roles – Materials Planning, Factory Planning, Finished Goods Planning·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience using SAP S/4 Hana, IBP, or equivalent planning tools is a must·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong analytical continuous improvement skills as well as a good understanding of data analytics capabilities·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proven end-to-end Supply Chain experience, with a strong focus on strategic aspects rather than purely tactical or operational functions.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Expertise in stocking policies, logistics, and related processes.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Demonstrated involvement in Continuous Improvement initiatives and projects.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong cross-functional collaboration experience.<ul><li>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proven capability in implementing new processes and systems.</li></ul>

Responsibilities: <ul><li>Supervise and lead production team members across assigned shifts and production lines.</li><li>Ensure daily production schedules are met in compliance with safety, quality, and delivery requirements.</li><li>Monitor key performance indicators (OEE, yield, scrap, downtime) and implement corrective actions as needed.</li><li>Drive continuous improvement initiatives in productivity, cost reduction, and process efficiency.</li><li>Partner with Manufacturing Engineering, Quality, and Maintenance teams to resolve process and equipment issues.</li><li>Provide training, coaching, and performance feedback to team members to build skill and capability.</li><li>Enforce compliance with EHS standards, company policies, and 5S/lean manufacturing practices.</li><li>Ensure proper manpower planning, shift scheduling, and attendance management.</li><li>Manage production documentation, reporting, and escalation of issues to management.</li><li>Support new product introduction (NPI) and ensure smooth handover to mass production.</li></ul> Requirements:﻿ <ul><li>Bachelor’s degree/diploma in Manufacturing, Mechanical, Industrial Engineering, or related field.</li><li>Minimum 5–7 years of production experience in high-volume manufacturing, with at least 3+ years in a supervisory/lead role.</li><li>Strong knowledge of lean manufacturing principles, problem-solving, and root cause analysis.</li><li>Good understanding of ISO/IATF 16949, EHS, and quality management systems.</li><li>Proven leadership, people management, and conflict resolution skills.</li><li>Ability to work in a fast-paced, 24/7 manufacturing environment with flexibility to support multiple shifts.</li></ul>

Responsibilities:The Technician III, Reliability performs facility reliability maintenance activities in accordance with approved procedures requiring limited supervision. Proficient at analyzing and troubleshooting the root cause of facility, manufacturing and packaging equipment problems. Implements effective preventive and/or corrective maintenance repairs to provide increased reliability. Identifies maintenance improvements that increase efficiency, throughput, and quality. May train others in setting up equipment. Identifies and solves complex problems. Understands the practical application to problems and situations ordinarily encountered and makes decisions that require choosing from several options.Requirements:May be required to be proficient in troubleshooting & repair in 4 or more of the following areas:ElectricalHydraulicsPneumaticsMechanicalPLC'sProficient in following areas:Ability to read and follow blueprints and engineered drawings.Ability to use theBMS (Bldg. Management System) for HVACSpecialized in at least 4 of the following 5 areas:Utility – purified water systems, compressed air, boiler, chilled water, electrical distribution, product dust collection systems.Building Maintenance – sewers, electronic card readers (when applicable), lighting.Fire suppression systems.HVAC competence and certification, as required.General building & grounds maintenance.Basic math, writing skills, problem solving.Basic computer skills.Ability to use hand tools.Control Precision - ability to quickly and repeatedly adjust the controls of a machine to exact positions.Basic math, writing skills, problem solving.Education & Experience:A High School Diploma or equivalent is required.Level 3 TechSeven years related experience and certification in assigned area(s), as required.ACCP-Level II Certification or equivalent experience

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7 basel iii Jobs found

Senior Data Scientist III - Agentic AI

Supervisor Assembly III

AVP – Evergreen Data Product Owner

Continuous Improvement Analyst III

Supply Chain Analyst III

Supervisor III, Production

Reliability Technician

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7 basel iii Jobs found

Senior Data Scientist III - Agentic AI

Supervisor Assembly III

AVP – Evergreen Data Product Owner

Continuous Improvement Analyst III

Supply Chain Analyst III

Supervisor III, Production

Reliability Technician

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.