Data Scientist (ML Engineer)
About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 7 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.
About the client:
Our client is a trailblazer in the world of data-driven advertising, known for its innovative approach to optimizing ad placements and campaign effectiveness through advanced analytics and machine learning techniques. The company’s mission is to revolutionize the advertising sector by enabling brands to reach their audiences more effectively.
About the role:
We are looking for an experienced and dynamic Senior Data Scientist to join the team. The ideal candidate will have deep expertise in supervised learning, reinforcement learning, and optimization techniques. You will play a pivotal role in developing and implementing advanced machine learning models, driving actionable insights, and optimizing the advertising solutions.
Requirements:
– 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.).
– Hands-on experience with data manipulation tools and libraries (e.g., pandas, NumPy).
Would be a plus:
– Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A PhD.
– Familiarity with cloud services, specifically AWS.
– Experience working with MLOps tools and practices, including version control, CI/CD, and containerization (Docker/Kubernetes).
– Strong analytical, communication, organizational and problem-solving skills.
– Ability to work in a fast-paced environment and manage multiple priorities.
Responsibilities:
– 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.
The client offers:
– An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
– A collaborative, innovative environment where your contributions make a difference.
– The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
– A culture that values learning, growth, and the pursuit of excellence.
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