Senior Data Scientist

Simulmedia

full-time

Posted on: 9/22/2025

Origin: • 🇺🇦 Ukraine

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Senior

AWSCloudDockerKubernetesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Develop and implement advanced supervised and reinforcement learning models to improve ad targeting and campaign performance
Collaborate with cross-functional teams to identify opportunities for leveraging machine learning and optimization techniques to solve business problems
Conduct extensive data analysis and feature engineering to prepare datasets for machine learning tasks
Apply optimization algorithms to enhance the effectiveness and efficiency of advertising campaigns
Evaluate and refine existing models to enhance their accuracy, efficiency, and scalability
Utilize statistical techniques and machine learning algorithms to analyze large and complex datasets
Communicate findings and recommendations effectively to both technical and non-technical stakeholders
Stay updated with the latest advancements in machine learning, reinforcement learning, and optimization techniques
Work with engineering teams to integrate models into production systems
Monitor, troubleshoot, and improve the performance of deployed models
Mentor junior data scientists and contribute to the continuous improvement of the data science practice within the company

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (PhD is a plus)
5+ years of experience in data science or machine learning roles, with a strong focus on supervised learning, reinforcement learning, and optimization techniques
Proficiency in Python
Strong understanding of working with relational databases and SQL
Experience with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or similar
Deep understanding of statistical modeling and supervised learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVMs, gradient boosting, neural networks)
Hands-on experience with reinforcement learning algorithms and frameworks like OpenAI Gym
Practical experience with optimization algorithms (linear, non-linear, combinatorial, etc.)
Familiarity with cloud services, specifically AWS (plus)
Hands-on experience with data manipulation tools and libraries (e.g., pandas, NumPy)
Experience working with MLOps tools and practices, including version control, CI/CD, and containerization (Docker/Kubernetes) (plus)
Strong analytical and problem-solving skills
Excellent communication skills, with the ability to clearly articulate complex concepts to diverse audiences
Ability to work in a fast-paced environment and manage multiple priorities
Strong organizational skills and attention to detail
Ability to mentor and guide junior data scientists
Must be able to communicate with U.S based teams