Key Responsibilities:

• Develop and implement advanced statistical models to solve complex business problems.
• Utilize R and Python to analyze large datasets and derive actionable insights.
• Create forecasting models to predict market fluctuations and their impact on costs.
• Build pricing models to optimize pricing strategies.
• Develop recommendation systems to suggest products for upselling.
• Collaborate with cross-functional teams to understand business requirements and deliver tailored solutions.
• Present findings and insights to stakeholders with clear and concise communication.
• Stay updated with the latest trends and advancements in data science and analytics.
• Ensure data integrity and accuracy in all analyses and models.

Requirements:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• 5-7 years of experience as a Data Scientist.
• Strong proficiency in R and Python; experience with AWS is a plus.
• Proven experience in building forecasting, pricing, and recommendation models.
• Excellent analytical and problem-solving skills.
• Strong communication skills, with the ability to present complex concepts to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced environment.