We’re looking for an experienced Data Scientist.
— CNN, LSTM;
Essential professional experience:
— Strong knowledge of Python (numpy, pandas, scikit-learn);
— Strong knowledge of ML, Deep Learning (CNN, LSTM);
— Experience with Deep Learning libraries and frameworks (TensorFlow, Keras, PyTorch etc.);
— Experience with SQL DB;
— Data visualization skills.
— Programming background;
— Experience with model training on AWS (EC2, S3);
— Experience in building of recommendation systems;
— Familiarity with sports betting industry;
— Degree in applied mathematics;
— Work experience in Agile environment;
— Technical English.
We invite those who fired up to:
— Automate data collecting and preprocessing flows;
— Analyse large amount of data to discover trends, patterns, valuable features;
— Build, improve and evaluate different models for recommendation systems in betting;
— Deliver and maintain such models in production;
— Fast prototyping to propose data science solutions for business challenges;
— Collaborate with engineers and product teams.
We care of your:
— Medical insurance/Sport compensation;
— Sport club participation (football, running, basketball or swimming clubs);
— Tasty and healthy free breakfasts;
— 100% paid sick leaves;
— 20 working days of paid vacation.
— Competitive salary and сonstant encouragement for your efforts and contribution;
— Bonuses according to company’s policy;
— Welfare (financial support in critical situation).
— Gifts for significant life events (marriage, childbirth).
Personal and professional growth
— Individual annual training budget with an opportunity to visit paid conferences, training sessions, workshops etc.;
— Free corporate library;
— Opportunity to visit our non-stop internal meetups: open talks, IT Pump, etc. as a participant or a speaker and exchange knowledge;
— A world-class team of T-shaped skilled professionals that share knowledge and support each other.
— Corporate parties and events (Pub Quiz, Carquest, bowling championships, etc.);
— PM Foundation activities (social responsibility events);
— Weekly events aimed at culture, arts, soft skills development.