Pricing Scientist

Summary

Join Zilliant, a SaaS company focused on eliminating Pricing Anxiety, as a Pricing Scientist. You will build and maintain advanced scientific models for our core products and advise customers as a Pricing Science expert. Responsibilities include examining and interpreting data to design, build, and tune models, performing data analysis and manipulation, identifying solutions to customer problems, producing documentation, and reporting insights to stakeholders. You'll need a Bachelor's or Master's degree in a related field and 3+ years of experience with SQL, Python, and BI tools. Experience with predictive modeling and pricing strategies is also required. Zilliant offers a full benefits package, generous PTO, comprehensive parental leave, and remote or hybrid work options.

Requirements

• A self-starter: you can align, adapt, and manage changing requirements
• Analytically minded: you like breaking down problems and looking through data to find patterns, trends, and outliers
• An avid, ongoing learner: you keep up to date with the latest trends in your field and are always on the lookout for new and exciting ways to improve your efficiency
• A clear communicator: you understand business needs, break them up into technical requirements; and you can explain technical and complex science in simple terms to senior stakeholders
• Bachelor’s or Master’s Degree in Data Science, Mathematics, Statistics, or related STEM field (or equivalent working experience)
• 3+ years' experience with SQL (T-SQL) and Python or other common analytical programming languages
• 3+ years' experience with Business Intelligence tools such as Tableau, PowerBI, or equivalent
• Experience with predictive modelling such as classification and regression machine learning

Responsibilities

• Examine and interpret data to extract information and insights to design, build, and tune Zilliant advanced scientific models
• Participate in exploratory data analysis, statistical analysis, data quality analysis, data density analysis, and reporting
• Identify, analyze and propose solutions to both simple and complex customers science problems
• Perform all types of data manipulations such as data cleansing, data preparation, data transformations to serve downstream models
• Produce both functional and technical documentation for implementations of Zilliant scientific models, with a special focus on customization
• Report data insights and model results to senior stakeholders and provide business recommendations

Preferred Qualifications

• Experience with pricing strategies such as cost-plus pricing, value-based pricing, penetrating pricing, dynamic pricing, bundling pricing
• Experience in distribution, manufacturing, commodity, or B2B SaaS

Benefits

• Full benefits package including medical, dental, and 401k plans with a company match
• Generous Paid Time Off (PTO) policy to ensure a solid work/life balance
• Comprehensive parental leave to provide time to bond with new family members
• Remote or Hybrid work schedule, depending on team and personal preferences