Position: Middle Data Scientist for R&D
Company: Parimatch Tech
Experience required: 2y
Category: Data Science
Published: 2020-05-01T00:00:00+03:00

Tech stack:
— Python;
— CNN, LSTM;
— TensorFlow;
— Keras;
— PyTorch;
— SQL;
— AWS;
— Kubernetes;
— Git.

Essential professional experience:
— Strong knowledge of Python (numpy, pandas, scikit-learn);
— Knowledge of ML;
— Basic knowledge of Deep Learning and DL frameworks (TensorFlow, Keras, PyTorch etc.);
— Experience with SQL DB;
— Data visualization skills.

Desirable skills:
— Experience with model training on AWS (EC2, S3);
— Experience in building of recommendation systems;
— Familiarity with sports betting industry;
— Work experience in Agile environment;
— Technical English.

We invite those who fired up to:
— Data collecting and preprocessing;
— 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:
Health
— 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.
Wealth
— 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.
Leisure time
— 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.