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Lead Predictive Modeler
5 months ago
Company Overview: Welcome to the forefront of predictive analytics Our company is a leader in leveraging advanced modeling techniques to drive strategic insights and inform decision-making. We specialize in predictive modeling, machine learning, and data-driven solutions that empower organizations to anticipate future outcomes and drive business growth. Join us and lead our team in shaping the future of predictive analytics.
Position Overview: As the Lead Predictive Modeler, you'll play a pivotal role in leading our predictive analytics initiatives and driving the development of advanced modeling solutions. You'll lead a team of talented modelers, collaborating closely with cross-functional teams to analyze data, develop models, and deliver actionable insights and recommendations to stakeholders. If you're a seasoned modeler with a passion for predictive analytics and a proven track record of delivering impactful solutions, we want you on our team.
Requirements
Key Responsibilities:
- Team Leadership: Provide strategic direction, mentorship, and leadership to a team of predictive modelers, fostering a culture of excellence, innovation, and collaboration.
- Project Management: Lead end-to-end predictive analytics projects, from problem formulation and data exploration to model development, deployment, and validation, ensuring timely delivery and high-quality results.
- Model Development: Lead the development of predictive models using advanced statistical techniques, machine learning algorithms, and data mining methods to forecast future outcomes and identify trends and patterns in data.
- Data Analysis: Analyze large and complex datasets to extract meaningful insights, identify relevant variables, and prepare data for modeling, ensuring data quality and integrity.
- Feature Engineering: Lead efforts to engineer features and variables from raw data to improve model performance and predictive accuracy, using domain knowledge and statistical techniques.
- Model Evaluation: Lead model evaluation efforts using appropriate metrics and validation techniques, and iterate on model development to improve predictive accuracy and generalization.
- Model Deployment: Lead efforts to deploy predictive models into production environments, collaborating with software engineering teams to integrate models into business applications and processes.
- Data Visualization: Create clear and compelling visualizations to communicate model results, insights, and recommendations to stakeholders, using tools such as Tableau, Power BI, or matplotlib.
- Collaboration: Collaborate closely with cross-functional teams, including business stakeholders, data engineers, and software developers, to understand requirements and deliver predictive analytics solutions that meet business needs.
- Documentation: Document model development processes, methodologies, and findings in clear and concise reports, ensuring transparency and reproducibility of results.
- Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in predictive modeling and data analytics, and continuously seek opportunities to enhance skills and knowledge.
- Mentorship: Mentor and coach junior modelers, providing guidance, support, and opportunities for skill development and career growth, and foster a culture of continuous learning and improvement within the team.
Qualifications:
- Master's or Ph.D. degree in Statistics, Mathematics, Computer Science, Engineering, or related field.
- 8+ years of experience in predictive modeling, machine learning, or data science, with a focus on developing and implementing predictive models to solve real-world problems.
- Proven leadership experience, with a track record of successfully leading predictive analytics teams and delivering impactful solutions.
- Proficiency in statistical analysis, machine learning algorithms, and data mining techniques, with experience in Python, R, or similar programming languages.
- Strong analytical and problem-solving skills, with the ability to analyze complex datasets, identify patterns, and extract actionable insights.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Strong attention to detail and ability to work independently, with a passion for delivering high-quality solutions that meet or exceed stakeholder expectations.
Benefits
- Competitive salary: The industry standard salary for Lead Predictive Modelers typically ranges from $170,000 to $230,000 per year, depending on experience and qualifications.
- Comprehensive benefits package, including health insurance, retirement plans, and wellness programs.
- Flexible work arrangements, including remote work options and flexible hours.
- Generous vacation and paid time off.
- Professional development opportunities, including access to training programs, conferences, and workshops.
- Opportunity to work with a diverse range of datasets and industries, driving impact and innovation through predictive analytics.
- Vibrant and collaborative company culture with opportunities for growth and advancement.
Join Us: Ready to lead the charge in predictive analytics? Apply now to join our team and help shape the future of predictive modeling
