Senior Staff Data Scientist

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Requirements:

• Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
• 6+ years of experience in data science, focusing on statistical modeling and machine learning.
• Expertise in time series analysis and forecasting models, such as ARIMA, Prophet, and LSTM.
• Strong proficiency in programming languages like Python or R and fluency in libraries like scikit-learn, TensorFlow, and PyTorch.
• Experience with large datasets and cloud platforms like AWS or GCP.
• Proven ability to apply complex statistical and machine learning techniques.
• Excellent communication skills for explaining technical models to diverse audiences.
• Strong problem-solving skills and collaborative abilities.

Responsibilities:

• Design, build, and deploy sophisticated statistical and machine learning models to solve complex business problems.
• Develop and apply advanced time series forecasting models to predict future trends and business outcomes.
• Create and implement forecasting and optimization models to support critical business functions.
• Use large datasets for exploratory data analysis to extract actionable insights.
• Collaborate with cross-functional teams to define business problems and deliver modeling solutions.
• Conduct robust A/B testing and model validation to assess performance.
• Continuously improve model performance through experimentation and tuning.
• Communicate complex findings to non-technical stakeholders via visualizations and reports.