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 Senior Data Scientist.

The Senior Data Scientist will be responsible for developing and deploying AI/ML solutions that leverage Computer Vision techniques to solve complex problems in healthcare and finance. This role requires a blend of technical expertise, analytical thinking, and domain knowledge to design and execute data-driven strategies that drive business growth and improve operational efficiency.

Your Skills and Experience:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. Master’s degree is highly preferred. 
• 5+ years of experience in data science, machine learning, CV and AI or a related field.
• Proven track record in developing and deploying AI/ML models, particularly those involving Computer Vision techniques.
• Strong analytical thinking skills to interpret data and derive actionable insights.
• Ability to translate complex data science concepts into simple, understandable results for non-technical stakeholders.
• Proficiency in statistical analysis, hypothesis testing, and predictive modeling.
• Experience working with healthcare or finance data, including domain-specific challenges.

Technical Skills:

• Proficiency in programming languages: Python, R, SQL, Spark, Scala.
• Hands-on experience with machine learning and deep learning frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, ONNX, fast.ai.
• Strong foundation in statistical analysis, hypothesis testing, and predictive modeling.
• Familiarity with computer vision techniques such as CNNs, transfer learning, object detection, and U-Nets.
• Knowledge of NLP and LLMs, especially for analyzing healthcare texts (e.g., medical records, patient notes).
• Experience with NLP tasks: sentiment analysis, named entity recognition, text summarization.
• Proficiency with cloud platforms (AWS, Azure, GCP) and tools such as AWS SageMaker, Azure AI, and Google AI Platform.
• Understanding of speech processing technologies: text-to-speech and speech-to-text systems.
• Experience in building data pipelines, ETL processes, and scalable AI solutions.
• Ability to interpret large-scale datasets and communicate insights to non-technical stakeholders.

Responsibilities:

• Develop and implement AI/ML models, particularly those involving Computer Vision (e.g., image recognition, medical imaging analysis, fraud detection, facial recognition, and automated surveillance systems).
• Develop and deploy AI/ML models for applications such as disease diagnosis, patient outcome prediction, fraud detection, and risk modeling.
• Develop expertise in Large Language Models (LLMs), Natural Language Processing (NLP), text and speech recognition systems, and cloud platforms such as Azure and AWS.
• Lead end-to-end machine learning projects from data collection to deployment, ensuring scalability and performance.
• Continuously monitor and optimize models to improve accuracy, reduce bias, and ensure ethical compliance.
• Collaborate with domain experts (e.g., healthcare professionals, financial analysts) to understand requirements and define project scopes

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.