Senior Data Scientist

Крайний срок: 18 Июль 2024

Условия контракта: Постоянный

Категория: Анализ данных

Тип вакансии: Полная ставка

Местонахождение: Ереван

Digitain is looking for a Senior Data Scientist to join our growing team and work on complex data.

Do an in-depth Data Analysis to Uncover intricate trends and patterns within vast datasets
Develop cutting-edge predictive models and machine-learning algorithms
Deploy your own models for batch prediction/inference or create web apis to serve the models to the intended audience.
Carry code reviews for peers to QA the logic and the code both in terms of engineering and data science components.
Communicate the findings and the progress of the model development with both technical and non-technical stakeholders.
Collaborate closely with engineering and product development teams to align data science initiatives with overall business goals
Stay updated with the latest industry advancements and proactively incorporate new techniques into our data science practices
Undertake various duties as assigned, demonstrating adaptability and versatility in addressing evolving project needs

A minimum of a bachelor's degree in Computer Science, Mathematics or Physics
Experience in the role of ML engineer or data scientist
Proven experience in data analytics, statistics, and algorithm implementation
Ability to visualize complex data structures effectively
Proficient in testing and verifying the quality of AI models, ensuring robust and reliable outcomes
Experience in SQL and relational databases to write complex queries, create views and stored procedures.
Strong proficiency in Python, leveraging it for advanced data analysis and model development
Possess hands-on experience with machine learning libraries and frameworks – numpy, pandas, sklearn, pytorch/tensorflow. Experience with forecasting libraries will be a plus
Display an in-depth knowledge about the popular ML algorithms such as logistic regression, linear regression, k-NN, Naive Bayes, SVM, Random Forests, Boosting trees, etc.
Experience to carry on A/B testing and explain the results to non-technical audience.
Expertise in MLOps practices to streamline model development, deployment, and maintenance
Experience in tools to deploy your models. - Apache Airflow, MLflow/Weights and Biases, Flask, etc