Data Scientist

Nauchsoft is an IT consulting and software development company. We have been in the IT business for 36 years and continue growing. Now we are looking for a Data Scientist. This role is prospective and has been created in line with the company’s planned team expansion.

We are seeking a highly motivated Data Scientist with strong expertise in Python, machine learning, and applied AI techniques. The ideal candidate will have hands-on experience with Computer Vision, Natural Language Processing (NLP), and Time Series modeling to deliver solutions across diverse business and research domains.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related fields

• 2+ years of professional experience as a Data Scientist / ML Engineer

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)

• Experience in Computer Vision (object detection, segmentation, image classification)

• Experience in NLP (transformers, embeddings, document search, chatbots, text classification)

• Experience with Time Series modeling (forecasting, anomaly detection, seasonality/trend analysis)

• Understanding of data preprocessing, feature engineering, and model evaluation techniques

• Familiarity with cloud environments (AWS, Azure, GCP) and MLOps practices

Nice to have:

• Speech Recognition & Synthesis (speech-to-text, voice generation)

• Reinforcement Learning (robotics, optimization tasks)

• Generative Models (text, image, or music generation with GANs, VAEs, diffusion models)

• Recommendation Systems (personalized recommendations like Netflix, Amazon, Spotify)

• Experience with real-time inference and model deployment on edge devices

Responsibilities:

• Design, implement, and optimize ML models for real-world business use cases

• Develop and evaluate Computer Vision models (object detection, image segmentation, classification)

• Build NLP pipelines (document search, chatbots, conversational agents)

• Apply Time Series analysis and forecasting techniques for business tasks (demand prediction, anomaly detection, optimization)

• Work with large-scale structured and unstructured datasets (text, images, tabular data)

• Deploy models into production, ensuring scalability, performance, and monitoring

• Collaborate with cross-functional teams to translate business requirements into technical solutions

We offer:

• Opportunity for professional self-realization and growth;
• Friendly team;
• 25-days of paid vacation;
• Medical insurance and 100% payment for sick leave;
• Professional training and obtaining certificates at the company's expense;
• Foreign language courses and other corporate programs;
• A variety of corporate events;
• Bonuses in case of wedding or a child’s birth;
• The possibility of remote work from any location.