Mondelēz International
Mondelēz International

Mondelēz International — Cadbury, Oreo va Toblerone kabi butun dunyoda keng tanilgan brendlar ortida turgan global gazaklar kompaniyasidir. Kompaniya faoliyati butun dunyo bozorlariga yetkazib beriladigan shokolad, pechenye, konfet va boshqa gazak mahsulotlarini ishlab chiqarish hamda marketingini qamrab oladi.

Kompaniya bir nechta mamlakatlardagi ishlab chiqarish, marketing, logistika va ta’minot zanjiri operatsiyalarini birlashtiradi. Uning korporativ ustuvor yo‘nalishlari qatoriga korporativ boshqaruv, ekologik barqarorlik, shuningdek xilma-xillik, tenglik va inklyuziya ham kiradi. Shu jihatlari bilan Mondelēz International global iste’mol tovarlari va kengroq gazaklar sanoati bilan bog‘liq karyeraga qiziqadigan mutaxassislar uchun muhim kompaniya hisoblanadi.

Nabisco merchandayzeri va buyurtma tuzuvchisi, Lancaster, CA

Lancaster hududidagi do‘konlarda Nabisco va Mondelēzning boshqa gazak brendlarini namoyish etib, mahsulotlarni joylashtiring, buyurtmalar bering, vitrinalar yarating va chakana savdo munosabatlarini qo‘llab-quvvatlang.

Tavsif

  • Do‘konlarda Mondelēzni uning gazak brendlari elchisi sifatida namoyish etish
  • Do‘kon jamoalari va xaridorlarga e’tiborli xizmat ko‘rsatish
  • DMI orqali vitrinalarni suratga olishni ham o‘z ichiga olgan Mondelēz DSD Merchandising Excellence standartlari asosida kundalik do‘kon tashriflarini bajarish
  • Orqa xona qabul qiluvchilari, do‘kon menejerlari va boshqa do‘kon xodimlari bilan ish munosabatlarini rivojlantirish
  • Mahsulotlarga buyurtma berish hamda javonlar va vitrinalarni yetarli darajada to‘ldirib turish uchun iPad va Salesforce’dan foydalanish
  • RTM bilan kelishilgan do‘kon rejalariga muvofiq reklama vitrinalarini o‘rnatish
  • RTM belgilagan kundalik jadvallar va ustuvor vazifalar asosida ishlash
  • Mavsumiy savdo davrlarida, yangi mahsulotlarni tanishtirishda va muhim merchandising tadbirlarida yordam berish
  • Do‘kon darajasidagi kuzatuvlar, muammolar va imkoniyatlar haqida RTM hamda rahbariyatga xabar berish
  • Mahsulotlarni orqa xonalardan do‘kon javonlariga xavfsiz tarzda ko‘tarish, egilish, tashish, ko‘chirish va joylashtirish

Talablar

  • Kamida 18 yoshda bo‘lish
  • Yashash shtati tomonidan berilgan amaldagi haydovchilik guvohnomasiga ega bo‘lish
  • O‘rta maktab diplomi yoki GED ma’qul
  • Ijobiy, professional munosabatga ega bo‘lish va mustaqil ishlay olish
  • Do‘kon manzillari o‘rtasida borish uchun amaldagi sug‘urtaga ega shaxsiy transport vositasidan foydalanish
  • 25 funtgacha bo‘lgan yuklarni qayta-qayta ko‘tara olish, egilish va tashiy olish
  • Ba’zan 50 funtdan og‘ir yuklarni itara va torta olish
  • Chakana savdo yoki oziq-ovqat do‘konidagi avvalgi tajriba qo‘shimcha afzallik
  • Kaliforniya shtatining Lancaster shahridagi asosiy manzildan 25–35 mil masofada yashash
  • Dushanbadan jumagacha ishlashga tayyor bo‘lish; jadval biznes ehtiyojlariga qarab o‘zgarishi mumkin
  • Ertalab soat 5:00 da ish boshlashga tayyor bo‘lish

Imtiyozlar

  • 401(k) jamg‘arma rejasi
  • Rag‘batlantiruvchi bonus dasturida qatnashish imkoniyati
  • Kompaniya siyosatiga muvofiq yo‘l xarajatlarini qoplash
  • Kompaniya ichida martaba o‘sishi imkoniyatlari
  • O‘qish to‘lovlarini qoplash rejasi
  • Yiliga 10 kungacha yig‘iladigan haq to‘lanadigan ta’til
  • Yetti kunlik haq to‘lanadigan bayram ta’tili
  • Uch kungacha haq to‘lanadigan moslashuvchan ta’til
  • Bir yildan keyin haq to‘lanadigan kasallik ta’tili
  • Ish boshlagan kundan boshlab taqdim etiladigan tibbiy, stomatologik va ko‘rish bo‘yicha sug‘urta paketlari
  • Bepul profilaktik tibbiy yordam
  • Sog‘liqni saqlash jamg‘arma hisobvarag‘i yoki moslashuvchan xarajatlar hisobvarag‘i rejalari
  • Sog‘liq va farovonlik dasturi
  • Hayot va mehnatga layoqatsizlik sug‘urtasi
  • Xodimlarga yordam dasturi
  • Tizzaga qo‘yiladigan tagliklar, xavfsizlik pichoqlari va shaxsiy himoya vositalarini o‘z ichiga olgan xavfsizlik jihozlari

O‘xshash ish o‘rinlari

Verizon

Senior Distinguished Engineer, Machine Learning and AI

Verizon

Lead agentic AI, large language model, and propensity modeling work for Verizon’s telecom customers. Improve personalization and customer retention through production machine learning operations.

Ochish
E

Expert Data Scientist, Fraud Risk Detection at Experian (Remote, US)

Experian

Build and assess machine learning models and predictive features to detect fraud and identity risk at Experian. The role uses Python and PySpark and supports deployment in batch, retrospective, and real-time decisioning systems.

Ochish
Signature Aviation

Junior Data Scientist, Forecasting and Machine Learning — Signature Aviation

Signature Aviation
5 001 – 10 000 Xodimlar
LogistikaMehmondo‘stlikSayohat

Develop forecasting and machine learning solutions for Signature Aviation’s global private aviation terminal network. Use actionable analytics to improve operations, workforce planning, and revenue outcomes.

Ochish
Zoox

Machine Learning Engineer, 3D Sensor Simulation

Zoox

Build machine learning models and synthetic sensor data for Zoox’s autonomous vehicle fleet. Improve lidar, radar, and camera simulation using 3D reconstruction and generative methods.

Ochish
Snowflake

AI Software Engineer, Snowflake — Toronto Hybrid

Snowflake

Build model-serving, retrieval-augmented generation, and AI-powered services for Snowflake’s enterprise data cloud. This hybrid role is based in Toronto and focuses on scalable systems used by organizations worldwide.

Ochish
Zoox

Senior Machine Learning Engineer, 3D Sensor Simulation

Zoox

Develop realistic lidar, radar, and camera simulations for Zoox autonomous vehicles. Build sensor-data models, synthetic datasets, and 3D reconstruction pipelines.

Ochish