Data Scientist (Part-Time)
Location: GR, I, Athens
Company profile: Offerial is a hospitality technology startup helping hotels improve sales, marketing, customer satisfaction and loyalty through personalization.Our product enables hotels to convert more hotel website visitors in to bookings, and avoid paying large commissions to #URL_f7c3db02a9e96f06ba0d3ee82ae77828e0071e332d7de8dcdf23c68f8bb689d0#, Expedia and other similar, who until now generate most hotel bookings in the world.For more information about the company, please visit our website: #URL_b52a2c4345129decacb3d678d3df65b7f2ccf7260a41a0f6abf730bf22a4f334#Why work at OfferialA startup company is different than a big company. Startups are teams of excellent people that develop products to solve a need or a pain of thousands or millions of customers with repeatable & scalable business models. Most of the product features a startup team develops will get thrown away very quickly and replaced by newer, better ones, others will be modified, and maybe the entire startup will pivot to an entirely new direction at some point in its life cycle.Team members in a startup like Offerial must understand that there are no role limitations & no concrete job descriptions as one might expect to find in large(r) companies. Team members may start doing a certain job when they join the team and may end up 6 months later doing something completely different and this is perfectly normal. Actually, we love it when this happens!We love people who have a short learning curve that have the habit of learning new things (even things that may seem of no importance), people who are open to new ideas as well as lean & agile.We deeply appreciate people who are able to let go and not get attached on things they worked really hard to achieve, if the new one is better, and in general people constantly excited by change, new challenges and the "impossible situations" where for the first few hours/weeks there doesn't be to be a solution to a problem!We do not judge people's abilities based on university degrees or fancy titles. We only care about each person's satisfaction & ability to deliver and to strive at what we do.
Description: Offerial is a hospitality technology startup. A startup company is different than a big company. Startups are teams of excellent people that develop products to solve a need or a pain of one or more customer segments with repeatable & scalable business models. Most of the products a startup team develops will get thrown away very quickly and replaced by newer, better ones, others will be modified, and maybe the entire startup will pivot to an entirely new direction at some point in its life cycle.Team members in a startup like Offerial must understand that there are no role limitations & no concrete job descriptions as one might expect to find in large(r) companies. Team members may start doing a certain job when they join the team and may end up 6 months later doing something completely different and this is perfectly normal. Actually, we love it when this happens!Your learning curve needs to be really high and you need to have the habit of learning new things (even things that may seem of no importance), to be open to new ideas and be lean & agile, to be able to let go and not get attached on things you worked really hard to achieve, and in general be constantly excited by change, new challenges and the "impossible situations" where for the first few hours/weeks there doesn't seem to be a solution to a problem.We do not judge people's abilities based on university degrees or fancy titles. We only care about your ability to deliver and to strive at what we do.Presently we offer positions in Web Development and Data Science.
Requirements: Requirements:Excellent problem solving abilities.Analytical and critical thinking skills. Self-starter with interest and ability to work both independently and highly collaboratively.Strong object oriented programming skills (Java preferred).Direct experience applying Machine Learning and Data Mining algorithms to solve complex problems of massive scale.Demonstrated experience in AI techniques, semantics, and statistical analysis preferred.Working knowledge of data mining techniques, including regression analysis, clustering, decision trees, neural networks, SVM and many more.PreferredRecent programming experience in a production environment.Real-time analytics.Experience working with real-world large-scale, high-dimensional data sets.Deep knowledge in accelerating and massively scaling various machine learning algorithms.Demonstrated experience with relational database systems; familiarity with SQL.
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