Lead Data Scientist

Product Management & Development (Information & Communication Technology)
We are looking for a Senior Data Scientist to join our client's innovative team and lead key projects involving machine learning, time series forecasting, and AI-driven decision-making.
You will have a solid mathematical foundation, proven experience developing and deploying production-level code.


Key Responsibilities: Lead the design, development, and implementation of data science models, particularly in time series modeling and forecasting.
Utilize advanced techniques in machine learning, deep learning, and causal inference to drive business insights and optimize performance.
Collaborate with cross-functional teams to understand business needs and translate them into actionable data science solutions.
Develop production-level code using Python, ensuring scalability and integration with cloud platforms such as AWS, GCP, or Azure.
Apply statistical packages (e.g., scikit-learn, NumPy, SciPy, Pandas, Statsmodels, PyTorch) to build and evaluate models.
Design and execute experiments, optimizing models using various regression techniques, optimization methods, and experimentation frameworks.
Use SQL and ETL processes to manipulate and extract data from relational databases.
Communicate findings and insights effectively to both technical and non-technical stakeholders.
Provide mentorship to junior team members and contribute to the overall growth of the analytics team.
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