Anaplan is hiring a
Data Scientist

Summary

Anaplan is seeking an experienced Data Scientist with at least 5-7 years of work experience to join their GTM Operations team. The Data Scientist will drive data-driven decision making, develop advanced analytical models, and provide actionable insights to support Anaplan’s aggressive growth targets.

Requirements

• Bachelor's degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. A Master's or Ph.D. in a relevant field is a plus
• A minimum of 5 years of professional experience in data science, including hands-on experience in statistical analysis, machine learning, and predictive modeling. Previous experience in a similar industry or domain is highly desirable
• Proficiency in programming languages such as Python, R, or similar tools for data manipulation, analysis, and modeling
• Deep understanding of statistical concepts and methodologies, including hypothesis testing, regression analysis, time series analysis, and clustering

Responsibilities

• Apply advanced statistical and machine learning techniques to analyze large datasets, extract valuable insights, and develop predictive models to support GTM activities covering sales, marketing, and customer success
• Collect, clean, and transform raw data from various sources to ensure data quality and integrity. Perform exploratory data analysis to understand trends, patterns, and relationships that can drive actionable recommendations
• Design, build, and deploy predictive models using machine learning algorithms and statistical methodologies. Evaluate model performance and iterate as necessary to improve accuracy and effectiveness
• Work closely with GTM cross-functional team to identify and define data requirements, goals, and success criteria and collaborate on the integration of data-driven solutions into existing systems and processes
• Communicate insights and findings: Present complex data analysis results and actionable insights in a clear and concise manner to both technical and non-technical stakeholders. Effectively communicate the value and implications of data-driven recommendations to drive informed decision-making
• Act as a team lead and oversee the work of junior team members across data science and reporting, ensuring timeliness and quality of work output

Benefits

Our Commitment to Diversity and Inclusion: Build your job in a place that thrives on diversity, inclusion, and belonging. We believe in maintaining a hiring and working experience in which all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique