Knowledge of:
— basic statistics: basic distributions (Normal, Gaussian, Exponential, Beta) and statistical hypothesis testing;
— regression analysis: parameter estimation for general linear models, regression diagnosis;
— stochastic models and methods: Monte Carlo method, Markov chains, statistical bootstrap;
— basic survival analysis;
Education requirements:
university degree (preferably in engineering or computer science);
good knowledge of technical English;
Technology Skills:
— Experience with statistical packages R/MATLAB/Python (NumPy, SciPy);
— Proficiency in SQL;
— Experience with data visualisation tools, such as D3.js, GGplot, etc.;
— Ability to work with different data exchange formats (json, XML, YAML);
Knowledge of:
— Bayesian inference: Bayesian methods and their application in prediction and classification;
— Machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.;
— Text mining: corpus preprocessing, relevance metrics.
Education: PhD/Candidate of Science
Technology skills:
— Experience with machine learning software/libraries (Weka, Stan, LIBSVM);
— Experience with NoSQL databases, such as MongoDB, Dynamo, Vertica etc;
— Ability to program in any language, preferably Java or PHP;
— Experience with unix shell (Debian-based distributions);
— Experience with web API (especially AdWords and BingAds API);
What you get working with us:
— Competitive salary, that depends on experience and skills;
— Company stock options;
— Monthly bonuses
— Semi-annual salary rise;
— Noninterest bearing loan;
— Company lunches;
— Free yoga classes;
— Paid vacations;
— Work-off on Ukrainian official holidays;
— Stable and reliable job;
— Opportunity for training and professional growth within the company;
— Convenient office location in the center;
— Ability to work in a creative and professional team;
As a statistician, you will be:
— Doing ad-hoc analysis and presenting results in a clear manner;
— Selecting features, building and optimizing classifiers using machine learning techniques;
— Working with marketing team on automating data processing;
— Developing algorithms for forecasting company income and subscription renewal rates;
— Developing a set of algorithms aimed at optimizing the costs of paid ads in AdWords and BingAds: forecasting the optimal price-per-click, for achieving the maximum effect from advertising;
— Monitoring and alerting for changes in internal performance;
— Developing algorithms for document classification;
— Helping to improve SEO metrics by picking most relevant content;
— Making a full-scale validation of processed data.
PDFfiller, founded in 2008, is a quickly growing SaaS company that caters to the lucrative SMB market. PDffiller provides paperless office solutions to hundreds of thousands of customers and millions of users who use our products to fill out forms, sign documents, engage with their clients, and collaborate with colleagues via fax, pMail or SMS. PDFfiller is profitable, and has grown organically with no outside investment to become one of the leaders in the paperless and e-signature solutions to small and medium sized businesses.
From our inception, PDFfiller has been synonymous with ease of use and professional results. We have applied years of research, analysis, and customer feedback to make PDFfiller the most intuitive and interactive software for optimizing your document workflow. Our company has relied on the invaluable feedback of our customers to build a product known for its quality and responsive development. We are accredited by the Better Business Bureau, have over 3,000 five star reviews from Shoppers Approved, and stand by our 100% Money Back Guarantee.