Data Scientist / Deep Learning Engineer
8.0/10
Spice IT
Not specified
Remote
senior
about 5 hours ago
aifintechtechPytorchKerasPythonpandasnumpymatplotlibsklearnlgbmxgb
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Description
Responsibilities
- •Conduct R&D on training neural network models on near-raw sequence data.
- •Focus on building neural networks for assessing the creditworthiness of individuals at various stages of the customer lifecycle (pre-approval, application review, collection, bankruptcy).
- •Full cycle work on the model: from order stage to production deployment.
- •Collaborate with product verticals in formalizing business initiatives and defending results in the DS responsibility area.
Conditions
- •Motivation system: fixed monthly salary + annual bonus (up to 10% of annual income).
- •Employment according to the Labor Code of the Russian Federation.
- •The company is listed in the register of accredited IT companies.
- •Remote work format (within the Russian Federation!). The office is located in Moscow.
- •Health insurance with dental coverage (from the first working day + travel insurance).
- •Partial compensation for fitness/training/additional medical services (limit – 25,000 rubles per year).
- •Additional days off for annual leave (31 days total per year).
- •Modern equipment (Windows technology, Lenovo ThinkPad).
- •Opportunities for growth within the company.
Requirements
Requirements
- •At least 3-5 years of experience as a Data Scientist.
- •Experience in classical NLP (BERT) / transformers (focus only on LLM experience is not suitable).
- •Experience with sequences and time series.
- •Experience with recurrent neural networks (RNN, LSTM, GRU) is a plus.
- •Experience with large datasets (samples of 1+ million observations x 1000+ features).
- •Excellent SQL knowledge and experience with relational databases and enterprise data warehouses (Greenplum, Oracle, MSSQL, PostgreSQL).
- •Experience in the fintech sector (credit bureaus, banks, microfinance organizations, etc.) is a plus.
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