Zaposlitev "interior design"

BeHealthy Group - pot do vašega zdravja! V podjetju BeHealthy verjamemo, da sta ključ do vitalnega in polnega življenja uravnotežen življenjski slog ter kakovostna podpora telesu. Zato že več kot 10 let razvijamo in ustvarjamo prehranska dopolnila najvišje kakovosti, ki ljudem pomagajo do boljšega počutja. Trenutno smo prisotni v 17 državah Evropske unije in svojim kupcem ponujamo več kot 4.000 različnih izdelkov. Letos smo naredili pomemben korak naprej in ustanovili tudi lastno proizvodnjo, s katero še dodatno zagotavljamo visoke standarde kakovosti ter podpiramo nadaljnjo rast podjetja. Zaradi hitre rasti v svojo ekipo redno vabimo zagnane posameznike, ki bodo s svojim znanjem, energijo in predanostjo soustvarjali našo zgodbo o uspehu. Naša trenutna "pull" strategija na Googlu deluje perfektno, a se tukaj ne ustavljamo. Potrebujemo strokovnjaka, ki razume, da se da na Googlu delati vrhunski performance marketing tudi s "push" kampanjami. Iščemo nekoga, ki bo ob močni vsebinski in mentorski podpori ekipe hitro prevzel pobudo in začel s suverenim skaliranjem naših oglaševalskih računov. Ne iščemo administratorja, ampak osebo, ki bo z rezultati ustvarjala dodano vrednost in premikala meje mogočega. Strategija in skaliranje: Načrtovanje, izvedba in aktivno širjenje Google Ads računov na 16 evropskih trgih z osredotočenostjo na maksimalen ROI.Od "pull" do "push": Implementacija naprednih performance strategij, ki presegajo iskalna omrežja in aktivno ustvarjajo novo povpraševanje. Kreativno snovanje: Iskanje novih načinov, kako prodati izdelek. Ne boš le nastavljal kampanj, ampak razmišljal, kateri "angle" bo prepričal kupca in katere prednosti izdelka izpostaviti v kreativi. Avtomatizacija in optimizacija: Uporaba naprednih orodij, skript in lastne iznajdljivosti za avtomatizacijo procesov ter nenehno izboljševanje donosnosti. Podatki kot kompas: Spremljanje, interpretacija in testiranje novih pristopov na podlagi zbranih podatkov - brez ugibanja, le rezultati. Samoiniciativno delo: Ne čakaj na taske - ustvari jih. Samostojno išči priložnosti za rast in predlagaj izboljšave, ki prinašajo dodano vrednost. Vrhunski vsebinski input: Naša ekipa ti pripravi materiale, ti pa poskrbiš za zmagovalno strategijo in "angle".Delo z visokimi proračuni na mednarodnih trgih, kjer se vsaka tvoja optimizacija pozna. Svoboda in odgovornost: Cenimo samoiniciativnost - če imaš dobro idejo, jo testiraj in skaliraj. Stabilnost in rast: Zaposlitev v enem najhitreje rastočih podjetij v panogi s konkurenčnim plačilom.

Objavljeno pred: 4 tedne

About us: As a Data Scientist in Sportradar's AI unit, you will work withing an established, high performing team of experts on the design, development and deployment of predictive models and algorithms powering Spotradar's products. You will leverage Sportradar's extensive sports datasets, betting transaction data and user interaction data collected through Sportradar's products and services reaching millions of end-users across the globe. The position will be focused on the development of AI and advanced analytics solutions for sportsbook risk management and liquidity driven odds trading, collaborating closely with product owners and technical leads in our Managed Trading Services and Odds Services product domains. Sportradar is a global leader in understanding and leveraging the power of sports data for hundreds of business customers around the world, in turn entertaining millions of sports enthusiasts. The challenge: - Analyse and explore data using statistical analysis tools and scripting. - Develop machine learning or statistical models for use in our sportsbook risk management and odds trading products and services. - Rigorously validate methods, models, algorithms and hypotheses using back-testing on historical data and/or simulations. - Bring models into production leveraging our AI platform, maintaining ownership of the AI solution throughout the model development lifecycle, from modelling to production deployment, monitoring and continuous model improvement. - Design and implement novel methods for data analysis, tailored to our sports-related application domains and propose new ways of using data to improve our products and services. - Present ideas and solutions to software developers and business stakeholders in a clear and understandable way. About you: - The successful candidate will be knowledgeable in machine learning and statistics. - Strong programming skills and software development experience needed to productize low latency streaming analytics solutions are a must. - Experience with risk management and portfolio optimization in financial, gaming or sports betting contexts is a plus. - Experience in data science, statistical modelling, applied mathematics and/or software engineering. - Profficiency with advanced querying of large analytical databases using SQL. - Programming experience is a must. - Experience with Python, R or similar statistical and/or machine learning software/toolkits. - Bonus: Experience working in Java. - Bonus: Hands-on experience with real-time streaming analytics frameworks such as Apache Flink and streaming technologies such as Apache Kafka. - Bonus: Experience working with Mac/Linux environments. - Bachelor of Science in Mathematics / Statistics, Computer Science / Engineering, or related field; equivalent experience acceptable. - Fluent in English (written and spoken). - Autonomous, rigorous, creative and a team player. Our offer: - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. - Flexibility to manage your workday and tasks with autonomy. - A balance of structure and autonomy to tackle your daily tasks. - Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). - Online training videos. - Flexible working hours. https://smrtr.io/zqJ7y