1 месяц назад
Decision Support Data Scientist (Manufacturing Analytics)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Decision Support Data Scientist (Manufacturing Analytics): Building decision-intelligence insights for a global manufacturing control tower with an accent on performance analytics, forecasting, machine learning, AI, and operational decision support. Focus on framing complex business questions, validating KPI logic and analytical models, monitoring forecast quality and model drift, and producing explainable scenarios and recommendations for senior leaders.
Location: Singapore-Yishun
Company
develops technology and solutions for scientific, manufacturing, and analytical applications.
What you will do
- Own the quality, integrity, explainability, and decision relevance of insights produced for the Global Manufacturing Control Tower.
- Structure ambiguous business questions into decision problems with clear options, assumptions, hypotheses, evidence, and success criteria.
- Develop performance insights covering productivity, throughput, capacity, quality, yield, operational risk, delivery, shipments, backlog, cost, margin, resources, and manufacturing-site performance.
- Define and validate KPI logic, baselines, targets, thresholds, and leading indicators for management decision-making.
- Apply statistics, forecasting, scenario modeling, diagnostic analytics, machine learning, and AI to quantify uncertainty, bias, stability, sensitivity, and trade-offs.
- Build and validate analytical prototypes and models, monitor deployed analytical performance, and produce executive narratives, early-warning signals, scenarios, and recommendations.
Requirements
- Bachelor’s or master’s degree in data science, statistics, operations research, computer science, engineering, business analytics, or a related field.
- At least 8 years of experience in data science, decision science, manufacturing analytics, business analytics, or equivalent work.
- Strong experience with statistics, forecasting, scenario modeling, diagnostic and predictive analytics, machine learning, and AI in manufacturing or operations.
- Proficiency in Python, SQL, or R and experience with Tableau, Power BI, Qlik, Spotfire, or similar data-visualization tools.
- Ability to assess complex enterprise data, including data quality, semantic consistency, lineage, uncertainty, accuracy, bias, stability, explainability, and business relevance.
- Ability to lead cross-functional analytical workstreams, communicate with senior non-technical stakeholders, and deliver rapid prototypes or MVPs.
Nice to have
- Experience in manufacturing operations, industrial engineering, quality management, supply chain, finance, or enterprise performance management.
- Experience with Control Tower, decision-intelligence, performance-management, IBP/S&OP, enterprise planning, or operational-intelligence initiatives.
- Experience with AWS, Azure, or Google Cloud and data from ERP, MES, shopfloor, or enterprise data platforms.
- Familiarity with Industry 4.0 technologies, including IIoT, digital twins, and automation.
- PMP, Scrum Master, or relevant analytics certification.
Culture & Benefits
- Full-time schedule with day-shift working hours.
- Approximately 25% travel required.
- Role supports global manufacturing standards and cross-functional enterprise decision processes.
- Compensation and benefits vary by country, work location, skills, experience, and education.
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