Description
Simulmedia 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. Our mission is to revolutionize the advertising sector by enabling brands to reach their audiences more effectively.
Job Description:
We are seeking an experienced and motivated Senior Data Scientist to join our dynamic 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 our advertising solutions.
Key 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.
Qualifications:
Education:
● Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A PhD is a plus.
Experience:
● 5+ years of experience in data science or machine learning roles, with a strong focus on supervised learning, reinforcement learning, and optimization techniques.
Technical Skills:
● 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, is a 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) is a plus.
Other Skills:
● 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
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