Key Responsibilities:

Conduct thorough data analysis and develop predictive models to identify patterns and trends in large datasets
Collaborate with cross-functional teams to understand business needs and develop actionable insights from data
Utilize statistical methods and tools to analyze and interpret complex data sets
Develop and maintain predictive models to forecast outcomes and support decision-making
Present findings and recommendations to stakeholders in a clear and concise manner
Continuously monitor and evaluate the effectiveness of predictive models, making necessary adjustments as needed
Stay abreast of industry trends and advancements in predictive analytics, and make recommendations for integrating new techniques or technologies into our processes
Mentor and train junior team members on best practices for data analysis and predictive modeling

Qualifications:

Bachelor's degree in Mathematics, Statistics, Computer Science, or related field; Master's degree preferred
Minimum of 5 years of experience in data analysis and predictive modeling
Proficiency in statistical software and programming languages such as R, Python, and SQL
Strong understanding of machine learning algorithms and techniques
Proven experience developing and maintaining predictive models
Excellent communication skills, with the ability to present complex data in a clear and concise manner
Strong problem-solving and critical thinking abilities
Ability to work independently and as part of a team in a fast-paced, deadline-driven environment
Demonstrated ability to mentor and train others
Knowledge of data visualization tools such as Tableau or Power BI is a plus

Apply now to be considered for this exciting opportunity.

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