As a Lead Predictive Analytics Specialist, you will have the opportunity to make a significant impact on our business by leveraging your expertise in data analytics and predictive modeling
Job Title: Lead Predictive Analytics Specialist
Location: New York, New York, United States
Salary: $130 Per hour
Position Overview: We are seeking a highly skilled and experienced Lead Predictive Analytics Specialist to join our dynamic team. As the Lead Predictive Analytics Specialist, you will be responsible for developing and implementing predictive models and data analytics solutions to drive business growth and optimize decision making. You will lead a team of analysts and work closely with cross-functional teams to identify business problems and provide data-driven insights. The ideal candidate will have a strong background in data analytics, statistical modeling, and machine learning, along with excellent leadership and communication skills.
Key Responsibilities:
- Lead a team of analysts to develop predictive models and data analytics solutions to support business objectives.
- Collaborate with cross-functional teams to identify business problems and develop strategies to address them.
- Design and implement statistical models and machine learning algorithms to analyze large datasets and extract meaningful insights.
- Develop and maintain data pipelines and databases to ensure accurate and timely data processing.
- Use advanced data cleansing techniques to ensure data accuracy and completeness.
- Present findings and recommendations to senior management and stakeholders in a clear and concise manner.
- Stay up-to-date with industry trends and best practices in predictive analytics and data science.
Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field.
- Minimum of 5 years of experience in data analytics, statistical modeling, and machine learning.
- Proven experience in leading a team and managing complex projects.
- Strong proficiency in data mining and data visualization tools such as Python, R, Tableau, etc.
- Solid understanding of statistical concepts and techniques, including regression analysis, time series forecasting, clustering, and segmentation.
- Experience with machine learning algorithms such as decision trees, random forests, and neural networks.
- Excellent problem-solving skills and ability to think critically and analytically.
- Strong communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders.
- Ability to work in a fast-paced and dynamic environment and manage multiple projects simultaneously.
Join our team and be a part of our mission to drive innovation and growth through data-driven decision making.