\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* \n\nSelecting the best financial products for your needs\n\n\n* \n\nTaking the right actions to improve your credit score\n\n\n* \n\nAnticipate your future financial health based on your current financial status and history\n\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* \n\nAt least 8 years experience in Java, Spring and MySQL (or any relational database) and Python.\n\n\n* \n\nAt least 5 years of experience as a Data Scientist.\n\n\n* \n\nExperience with databases (including NoSQL).\n\n\n* \n\nExperience in machine learning frameworks and libraries.\n\n\n* \n\nSupervised and Unsupervised learning.\n\n\n* \n\nMachine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM).\n\n\n* \n\nExperience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive).\n\n\n* \n\nComputer Science or Mathematics or Physics degree.\n\n\n* \n\nExcellent communication and analytical skills.\n\n\n* \n\nWillingness to work hard (50 hrs per week).\n\n\n* \n\nVery good English\n\n\n\n\n\nNice to have but not required\n\n\n* \n\nExperience with Apache Spark.\n\n\n* \n\nNatural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization).\n\n\n* \n\nR programming language.\n\n\n\n\n\n\nResponsibilities\n\n\n* \n\nModeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.\n\n\n* \n\nParticipating in the areas of architecture, design, implementation, and testing.\n\n\n* \n\nProposing innovative ways to look at problems by using data mining approaches on the set of information available.\n\n\n* \n\nDesigning experiments, testing hypotheses, and building models.\n\n\n* \n\nConducting advanced data analysis and designing highly complex algorithm.\n\n\n* \n\nApplying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.\n\n\n\n\n\n\nOur Offer\n\n\n* \n\nVery competitive salary based on prior experience and qualifications.\n\n\n* \n\nPotential for stock options after the first year.\n\n\n* \n\nRaise and advancement opportunities based on periodic evaluations.\n\n\n* \n\nVisa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n\n* \n\nHealth benefits (in case you will be working from our office in Washington DC).\n\n\n\n\n\n\nNotes \n\n\n* \n\nThis position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n\n* \n\nIf you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours.\n\n\n* Candidates with less than 8 yrs of experience will not be considered.\n\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to
[email protected] \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Finance, Cloud, Apache and Non Tech jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐
We hire old (and young)\n\n