Hiring Predictive Analytics Manager

We are seeking a highly skilled and motivated Predictive Analytics Manager to join our dynamic team. This position will involve leading a team of data scientists and analysts to build and deploy advanced predictive models that provide actionable insights and drive strategic business decisions. You will be responsible for overseeing the design, development, and optimization of predictive analytics systems, working closely with stakeholders to identify key business opportunities and challenges.
Key Responsibilities:
Team Leadership & Management: Lead, mentor, and manage a team of data scientists, analysts, and modelers, fostering a collaborative and results-driven culture.
Predictive Modeling: Develop, implement, and optimize predictive models to analyze trends, behaviors, and outcomes. Utilize techniques such as machine learning, statistical analysis, and time-series forecasting.
Data Strategy & Insights: Work with cross-functional teams to identify business challenges, translate them into analytical problems, and create actionable insights. Provide data-driven recommendations that support strategic decision-making.
Stakeholder Collaboration: Engage with business leaders and departments (e.g., marketing, finance, operations) to understand objectives and tailor analytics solutions to meet their needs.
Data Quality & Integrity: Ensure the accuracy, completeness, and consistency of data used for predictive modeling. Implement best practices for data governance.
Technology & Tools: Stay updated on industry trends, best practices, and emerging technologies related to predictive analytics, and ensure the use of cutting-edge tools and platforms.
Reporting & Visualization: Translate complex data into clear, actionable insights through reports, dashboards, and visualizations to communicate findings to both technical and non-technical stakeholders.
Continuous Improvement: Continuously evaluate and improve predictive models to ensure they remain relevant and effective as business needs evolve.
Key Qualifications:
Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field. PhD is a plus.
Experience:
5+ years of experience in predictive analytics, data science, or related fields, with at least 2 years in a leadership or management role.
Proven experience in building and deploying predictive models using techniques such as regression analysis, machine learning, and time-series forecasting.
Familiarity with advanced statistical techniques and algorithms.
Technical Skills:
Strong proficiency in programming languages such as Python, R, or SQL.
Hands-on experience with data analysis tools and platforms like SAS, SPSS, or similar software.
Experience with data visualization tools (e.g., Tableau, Power BI) and big data platforms (e.g., Hadoop, Spark) is a plus.
Knowledge of cloud platforms (e.g., AWS, Azure) is advantageous.
Analytical Skills: Exceptional problem-solving abilities, with a track record of using data to drive business outcomes.
Leadership Skills: Experience in managing and mentoring a team, with strong interpersonal and communication skills to collaborate effectively with diverse teams.
Business Acumen: Ability to translate complex analytical concepts into business strategies and insights.
Communication Skills: Ability to clearly communicate complex analyses to both technical and non-technical audiences.
Preferred Qualifications:
Experience in industries such as finance, healthcare, e-commerce, or telecommunications.
Certification in data science, machine learning, or a related field (e.g., Google Cloud Professional Data Engineer).
Experience with advanced machine learning models (e.g., deep learning, NLP) is a plus.
Strong project management skills with the ability to prioritize tasks and manage multiple initiatives simultaneously.
Why Join Us?
Competitive salary and benefits package.
Opportunities for professional growth and development.
A collaborative and innovative work environment.
Access to cutting-edge technology and tools.
Flexible working options (remote and/or in-office).
How to Apply:
Please submit your resume and cover letter outlining your relevant experience and why you are a great fit for this role.