Talent Acquisition Specialist – Technical Recruiting
Fluent Trade Technologies51 – 200 Xodimlar
Fintex
Recruit technical talent for Fluent Trade Technologies’ global teams, coordinating hiring across the EU, Ukraine, and the Philippines.
Ochish
Swish Analytics sport tikish industriyasi uchun mashinaviy o‘rganish dasturiy ta’minoti va bashoratli ma’lumotlarni ishlab chiqadi. Kompaniyaning B2B platformasi bukmekerlik kompaniyalari va fentezi platformalariga o‘yinchilarning individual ko‘rsatkichlari, jamoalar va uchrashuvlar bozorlari, o‘yinoldi prognozlari, o‘yin davomida yuz beradigan voqealar, ekspress tikishlar, tikish konstruktorlari hamda mikrobozorlar bo‘yicha real vaqt rejimidagi koeffitsiyentlarni yaratishga yordam beradi. Shuningdek, kompaniya narxlash modellari va kengaytiriladigan koeffitsiyentlar infratuzilmasini birlashtirib, tikish mahsulotlarini yaratish va boshqarish jarayonlarini soddalashtiradigan tikish hayotiy siklini avtomatik boshqarishni ham taqdim etadi.
Analitika muhandisi (Python, Rust, SQL) — Kaliforniyada masofadan
Swish Analytics kompaniyasining sport tikishlari va fentezi maʼlumot mahsulotlari uchun real vaqt rejimidagi hodisalar tizimlarini o‘rganasiz va statistik ko‘rsatkichlar ishlab chiqasiz. Python, Rust, SQL va ishlab chiqarish maʼlumotlaridan foydalanib, tizim xatti-harakatini tushuntirasiz hamda ishonchli qarorlarni qo‘llab-quvvatlaysiz.
Tavsif
- Asosiy sabablarni aniqlash va yechimlar tavsiya qilish uchun hodisalar hamda so‘rovlarni xom ishlab chiqarish maʼlumotlari va tizimlari orqali kuzatish.
- Vaqt davomida tizim holati va unumdorligini kuzatuvchi statistik asoslangan ko‘rsatkichlarni ishlab chiqish va qo‘llab-quvvatlash.
- Manfaatdor tomonlar uchun aniq va tavsiflovchi hisobotlar tayyorlash.
- Tekshiruvlar va o‘lchovlarni izchilroq hamda takrorlanadigan qilish uchun umumiy freymvorklar va vositalarni yaxshilash.
- Boshlang‘ich doirasi to‘liq belgilanmagan noaniq muammolar ustida mustaqil ishlash.
- Muammolar tashkiliy chegaralardan oshib ketganda maʼlumotlar ilmi, muhandislik va treyding jamoalari bilan hamkorlik qilish.
- Jonli tadbirlar vaqtida tizim xatti-harakatini qayta tiklash va tushuntirish uchun real vaqt rejimidagi, hodisalarga asoslangan maʼlumotlarni tahlil qilish.
Talablar
- Kompyuter fanlari, statistika, maʼlumotlar ilmi yoki turdosh sohada bakalavr darajasi.
- Ishlab chiqarish tizimlari ustida ishlashni o‘z ichiga olgan kamida to‘rt yillik professional dasturiy taʼminot muhandisligi tajribasi.
- Maʼlumotlarni ajratib olish, tartibga solish va tahlil qilishni o‘z ichiga olgan kamida ikki yillik Python tajribasi.
- Ishlab chiqarish muhitida kamida bir yillik Rust tajribasi.
- Prototiplar, bir martalik skriptlar yoki noutbuk tahlillaridan tashqari, real maʼlumotlarni qayta ishlaydigan ishlab chiqarish dasturiy taʼminotini yaratish va qo‘llab-quvvatlash tajribasi.
- SQL bo‘yicha ilg‘or ko‘nikmalar hamda jurnallar, hodisalar oqimlari va ishlab chiqarish jadvallari kabi xom yoki manba maʼlumotlari bilan amaliy tajriba.
- Dastlabki yo‘nalish cheklangan ochiq masalalarni hal qilish tajribasi.
- Kuchli statistik va miqdoriy fikrlash qobiliyati.
- Hodisalarga asoslangan yoki real vaqt rejimidagi maʼlumotlar tizimlari bilan tajriba maʼqul.
- Analitika muhandisligi, amaliy statistika yoki maʼlumotlar va dasturiy taʼminotni birlashtiruvchi rolda tajriba maʼqul.
- Sport, sport tikishlari yoki treyding tushunchalarini bilish foydali, ammo majburiy emas.
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