Planning and Control Planner

Client Advisor

Facilities Supervisor III

Consultant, Data Analytics & Reporting-Food

Hybrid Bonding Technology Development Engineer

Advanced Quality, Senior Engineer

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Legal Workflow Specialist

Forward Deployed AI Strategist

Responsibilities: <ul><li>Employees must specialize in planning activities involving production control, inventory control, process control, shop floor control, and Material Resources Planning (MRP) integrity.</li><li>Maintain SAP Production Order release schedules to ensure material is available on time for manufacturing and engineering.</li><li>Reschedule and/or TECO work orders as required to support production priorities.</li><li>Improve component availability at the time of release by performing pre-shortage analysis.</li><li>Perform work order variance analysis and recommend corrective actions.</li><li>Review MRP execution to ensure data accuracy, reconcile supply and demand, and validate master scheduling and PDS requirements.</li><li>Review and ensure proper disposition of Engineering Change Orders (ECOs) and Engineering Change Requests (ECRs); prepare status reports for all active ECOs/ECRs.</li><li>Participate in floor audits with Finance and resolve Work-in-Progress (WIP) issues.</li><li>Attend production meetings and provide updates on material shortages and committed delivery dates.</li><li>Collaborate with engineering teams to manage materials for special engineering projects.</li><li>Support work centers with shop floor control activities as needed.</li><li>Analyze inventory usage and stock levels to maintain target inventory and meet service level requirements.</li><li>Expedite material shortages and forecast spare parts requirements where applicable.</li><li>Investigate material variances, resolve operational issues, and escalate complex problems to management.</li><li>Support the implementation or enhancement of inventory management systems and assign expediting activities where required.</li><li>Manage obsolete inventory and recommend disposition strategies.</li><li>Participate in process improvement initiatives by identifying root causes through PCI reporting and driving corrective actions.</li><li>Support cycle counting activities to maintain inventory accuracy.</li><li>Perform data analysis, forecasting, and ad hoc statistical analysis using structured and unstructured data sources.</li><li>Develop dashboards and visualizations using Tableau to support business decision-making.</li><li>Work closely with business stakeholders to gather requirements and translate data into actionable insights using Python, SQL, or equivalent analytical tools.</li><li>Serve as a subject matter expert on project teams for data consolidation, reporting, and process improvement initiatives.</li></ul> Requirements: <ul><li>Experience: 3–7 years.</li><li>Role Level: B2/B3 Individual Contributor (IC).</li><li>Strong English communication is essential. </li><li>Candidates must demonstrate ability to communicate effectively with multiple stakeholders.&nbsp;</li></ul>

Responsibilities: <ul><li>Engage with potential customers on frequent basis to maintain relationship and generate opportunities for sale.</li><li>Count and maintain the account of stock daily by managing the record of the opening stock and closing stock in the section allocated Report the sold sock and ensure the stock replenishment.</li><li>Develop and maintain relationship and network with competitors to leverage leading practices &amp; learning to improve store level processes.</li><li>Collate and relay customer feedback to the corporate teams like the merchandising, retail operations etc. to improve customer satisfaction and store ratings.</li><li>Manage customer queries and complaints as per the company guidelines.</li></ul> Requirements: <ul><li>2–4 years of retail sales experience, preferably in luxury retail, jewellery, fashion, watches, or premium lifestyle brands, with strong customer engagement and sales skills.</li><li>Proven ability to achieve sales targets by understanding customer needs, recommending suitable products, and delivering an exceptional end-to-end shopping experience.</li><li>Experience in retail store operations, including stock management, visual merchandising, inventory control, billing, and adherence to store SOPs.</li><li>Strong customer service and relationship management skills, with the ability to handle customer queries, resolve complaints, and build long-term customer relationships while maintaining high service standards.&nbsp;</li><li>A Bachelors degree (Graduation) is mandatory and is an essential eligibility criterion for candidates applying for this position.</li></ul>

Responsibilities: Safety and Legal Compliance: <ul><li>Familiarity with the operational legal requirement of the plant from DOLE, PEZA, DENR, LLDA, FPIP-DOR, BFP, FDA, PNP, PDEA, etc.</li><li>With on Safety Requirements for LOTO, Machine Guarding, Control Reliability, Work at Heights, Electrical Safety, Confined Spaces, Cyanide Alarms and sensors, etc.</li></ul> Supervision and Management of Plant Facilities Operation and Maintenance specifically the following: <ul><li>HVAC System</li><li>Compressed Dry Air</li><li>Electrical System</li><li>Water and Sewer Waste Water Operation</li><li>Plating Water and Wastewater Treatment</li><li>Building Maintenance and Building Management System</li><li>Electronic Controls and PLC System</li><li>Elevator System</li><li>Genset</li><li>Vacuum System</li><li>Fire protection and detection system</li><li>Paging System</li><li>Boiler, Scrubber and Mist Eliminator System</li><li>With ability to troubleshoot and recommend cost and life-cycle improvement for each process.&nbsp;</li></ul> Project Management and Cost Control: <ul><li>Leads the plant requirement on all its improvement project initiatives.</li><li>Highly knowledgeable on applicable engineering standards to recommend in the project design stage.</li><li>Up to date on the market costing to ensure accurate project cost estimation.</li><li>Recommend and review third party contracts.</li><li>With technical know-how to recommend fastest approach in meeting the deadline without issue on project quality.&nbsp;</li><li>Cost Cost Reduction Recommendation and Implementation:</li><li>Reviews plant performance related to power, water and expenses and recommend cost reduction measures.</li><li>Lead the plant to all Energy Conservation and Reduction programs.</li><li>Knowledgeable in Digital factory deployment such as Hydra Traceability, MES, Machine Connectivity for OEE tracking.</li></ul> Requirements: <ul><li>Licensed Engineer (ME, EE, ECE) with more than 10 years’ experience in Facilities Operation and Management in manufacturing set-up.&nbsp;</li><li>Able to communicate his/her idea to all levels of the organization.&nbsp;</li><li>Highly technical and analytical with People Management Skills.&nbsp;</li><li>Must have negotiation skills and able to work under pressure with ease and confidence.</li></ul>

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Responsibilities: <ul><li>Design, collect data, analyze, and compile reports on difficult process engineering experiments. Measure film and surface properties, and interpret data.&nbsp;</li><li>Optimize process to push product performance to HW limit.</li><li>Generate innovative ideas to tackle challenges in hybrid bonding enablement. Guide engineering on prototyping. Perform hardware characterization on a variety of difficult systems.</li><li>Implement new technology, products, and analytical instrumentation.</li><li>Troubleshoot complex problems, perform root cause analysis, and resolve a variety of difficult process engineering issues.</li><li>Generate internal documentation for products, presentations, and technical reports.</li><li>Communicate and engage with customers to resolve complex process engineering issues or concerns, under limited supervision.</li><li>Identify, select, and partner with vendors and suppliers.</li><li>Serve as a resource for junior colleagues; lead project teams, as needed</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field. Higher education is a bonus.</li><li>3-7 years of related experience .</li><li>Demonstrates conceptual and practical expertise in complex problem solving.</li><li>Innovative &amp; can think out of the box. Passionate on going through iterative process/hardware development testing &amp; learning cycles.</li></ul>

Responsiblities: <ul><li>Design Quality Assurance: Organize and facilitate Design Reviews (DR) and DFMEA sessions to ensure robust product design and risk mitigation.</li><li>Prototype &amp; Sample Build Quality: Implement quality planning and controls for prototype/sample builds, including documentation and build record management.</li><li>Measurement System Validation: Conduct Measurement System Analysis (MSA) for inspection systems and gages used in the project.</li><li>Development Stage Quality Oversight: Analyze samples, address quality issues, and drive improvement actions during product development.</li><li>Verification &amp; Qualification: Lead design verification activities prior to design freeze and manage product qualification testing before Gate 5.</li><li>Tool &amp; Process Validation: Perform process capability studies and support Final Tool Approval (FTAR) using Comprehensive Tool Approval Reports (CTAR).</li><li>Production Quality Control: Establish and maintain quality controls and documentation for the production shop floor.</li><li>Ongoing Quality Monitoring: Monitor process capability and manage corrective actions to ensure sustained quality performance.</li><li>Inspection Review: Review and approve measurement and cosmetic inspection results to ensure compliance with specifications.</li><li>Audit Support: Provide support during customer and internal/external quality system audits.</li><li>Lead the development and implementation of Advanced Quality Planning (AQP) tools and methodologies within cross-functional product development teams.</li><li>Manage and mitigate project risks, ensuring customer requirements are clearly understood and integrated from the outset.</li><li>Conduct design and process audits for NPI projects, ensuring compliance with internal and external standards.</li><li>Collaborate closely with manufacturing sites to ensure seamless transition from design to production, including training facilitation and sharing of best practices and lessons learned.</li><li>Support customer complaint investigations during NPI, including documentation collection, in-process record review, and postmortem analysis.</li><li>Ensure effective deployment of control plans and support supplier development and management to meet quality expectations for NPI shipments.</li></ul> Requirements: <ul><li>Bachelor’s degree or higher in Electrical, Mechanical Engineering, or a related field.</li><li>Min 4 years experience in advanced quality</li><li>Proven quality control experience in cable assemblies, connectors, sockets, or related industries.</li><li>Strong understanding of ISO 9001 and APQP procedures.</li><li>Familiarity with EIA-364 test methods and internal/external auditing practices.</li><li>Knowledge of Model-Based Definition (MBD) and GD&amp;T requirements.</li><li>Proficient in Root Cause Analysis (8D, Fishbone, 5 Whys).</li><li>Skilled in Risk Management (DFMEA/PFMEA), Process Capability (Cp, Cpk, Pp, Ppk), and Tolerance Stack-Up Analysis.</li><li>Experienced in Design of Experiments (DOE) and Six Sigma methodologies (Black Belt preferred).</li><li>Competent in data analytics and visualization tools (Power BI, Tableau, Python/R).</li><li>Skilled in statistical software such as Minitab and JMP.</li><li>Strong organizational and strategic planning abilities.</li><li>Effective communicator with excellent written and verbal English skills.</li><li>Ability to mentor junior engineers and lead cross-functional teams.</li><li>Demonstrated capability in change management and driving continuous improvement.</li><li>Strong interpersonal skills for conflict resolution and stakeholder negotiation.</li><li>Committed to delivering high-quality solutions aligned with customer expectations and business strategy.</li></ul>

Responsibilities: <ul><li>Act as a Subject Matter Expert (SME) for electrical systems across global facilities.</li><li>Develop and govern global engineering standards, specifications, and BKMs.</li><li>Lead design reviews, ensuring alignment with global requirements and best practices.</li><li>Drive improvements in system reliability, cost efficiency, and maintainability.</li><li>Support large-scale design and construction projects globally.</li><li>Conduct system studies, capacity analysis, and performance evaluations.</li><li>Collaborate with cross-functional stakeholders to align engineering solutions.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Electrical Engineering or equivalent.</li><li>10–13 years of relevant experience in semiconductor or industrial facilities.</li><li>Strong expertise in electrical distribution systems (HV/MV/LV).</li><li>Experience with critical systems (UPS, generators, sag mitigation).</li><li>Proficiency in system modeling, analysis, and reliability engineering.</li><li>Experience in design review and construction project support.</li></ul>

Responsibilities: <ul><li>Act as a Subject Matter Expert (SME) for electrical systems across global facilities.</li><li>Develop and govern global engineering standards, specifications, and BKMs.</li><li>Lead design reviews, ensuring alignment with global requirements and best practices.</li><li>Drive improvements in system reliability, cost efficiency, and maintainability.</li><li>Support large-scale design and construction projects globally.</li><li>Conduct system studies, capacity analysis, and performance evaluations.</li><li>Collaborate with cross-functional stakeholders to align engineering solutions.</li></ul> Other Responsibilities: <ul><li>Lead root cause analysis for major system issues.</li><li>Mentor junior engineers and guide technical development.</li><li>Support sustainability and energy optimization initiatives.</li></ul> AI Responsibilities <ul><li>Leverage AI tools to enhance data analysis, predictive maintenance, and engineering insights.</li><li>Promote adoption of AI-enabled solutions within engineering workflows.</li></ul> Requirements: Minimum Required Qualifications/Experience: <ul><li>Bachelor’s Degree in Electrical Engineering or equivalent.</li><li>10–13 years of relevant experience in semiconductor or industrial facilities.</li></ul> Must Have Technical Skills: <ul><li>Strong expertise in electrical distribution systems (HV/MV/LV).</li><li>Experience with critical systems (UPS, generators, sag mitigation).</li><li>Proficiency in system modeling, analysis, and reliability engineering.</li><li>Experience in design review and construction project support.</li></ul> Must Have Soft Skills: <ul><li>Strong leadership and influencing skills.</li><li>Excellent communication and stakeholder management.</li><li>Ability to prioritize and drive multiple initiatives concurrently.</li><li>Strategic problem-solving capability.</li><li>AI Requirements</li><li>Ability to leverage AI tools for engineering analysis, operational improvements, and reporting.</li><li>Highly Desirable / Preferred</li><li>Experience leading regional/global engineering initiatives.</li><li>Knowledge of sustainability programs and green infrastructure.</li><li>Professional Engineer (PE) certification or equivalent.</li></ul>

Responsibilities: <ul><li>Design and deliver onboarding tailored to South African firms, practice groups, and in‑house legal teams.</li><li>Lead interactive training sessions that demonstrate AI‑enabled workflows across research, drafting, review, and knowledge management</li><li>Create clear, practical training materials, including guides and short videos.</li><li>Engaging in-house legal teams to understand their daily workflows and creating tailored AI solutions (e.g., Protégé Workflows) to enhance existing processes, improve outcomes, and increase productivity and ROI.</li><li>Monitor product usage across SA clients and drive increased utilisation, particularly in high‑volume corporate, regulatory, and litigation practices.</li><li>Identify adoption obstacles specific to SA legal environments</li><li>Demonstrate measurable client value, including efficiency gains, quality improvements, risk reduction and consistency.</li><li>Work with customers to understand existing processes and design improved, AI‑supported workflows.</li><li>Configure workflows to align with client preferences, practice‑area needs, and organisational standards.</li><li>Share proven approaches and best practices to support learning across the customer base.</li><li>Represent customer perspectives internally, translating feedback into clear, practical insights.</li><li>Partner with product and development teams to inform future improvements.</li><li>Support testing of new features, focusing on usability, accuracy, and real‑world application.</li></ul> Requirements: <ul><li>Admitted Attorney (LLB required; articles completed).</li><li>2–5+ years post‑admission</li><li>Exposure to complex legal workflows—corporate, commercial, litigation, regulatory or similar.( advantageous)</li><li>Confidence communicating with a range of stakeholders and delivering clear, engaging presentations or training</li><li>Ability to “translate” legal workflows into repeatable, technology‑enabled processes.</li><li>An interest in legal technology and curiosity about how AI can support better legal outcomes</li><li>Excellent relationship‑building, active listening and stakeholder‑management skills.</li><li>Data‑driven mindset with the ability to articulate value and ROI</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

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77 machine learning statistical modeling Jobs found

Planning and Control Planner

Client Advisor

Facilities Supervisor III

Consultant, Data Analytics & Reporting-Food

Hybrid Bonding Technology Development Engineer

Advanced Quality, Senior Engineer

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Legal Workflow Specialist

Forward Deployed AI Strategist

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77 machine learning statistical modeling Jobs found

Planning and Control Planner

Client Advisor

Facilities Supervisor III

Consultant, Data Analytics & Reporting-Food

Hybrid Bonding Technology Development Engineer

Advanced Quality, Senior Engineer

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Legal Workflow Specialist

Forward Deployed AI Strategist

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.