Senior Data Scientist – Databricks, Pricing and Revenue Growth Management
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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Pricing and Revenue Growth Management through advanced modeling techniques, including price elasticity and demand forecasting. Proficient in Machine Learning and statistical methods to derive actionable insights from complex datasets.
Highest-signal resume keywords
Python ProficiencySQL ProficiencyMachine Learning ExpertiseTime Series AnalysisPricing Elasticity Modeling
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, develop, and optimize advanced Pricing and Revenue Growth Management (RGM) models to support strategic business decisions
- Build and validate price-demand elasticity models, including own-price and cross-price elasticities
- Develop predictive models using Machine Learning, statistical methods, and econometric techniques to analyze demand, pricing, and consumer behavior
- Perform time series analysis, demand forecasting, and mathematical optimization to identify business opportunities
- Conduct feature engineering using pricing, sales volume, seasonality, product, channel, and market data
- Design and execute experiments, backtesting, sensitivity analyses, and statistical validations to ensure model reliability
- Evaluate model robustness, temporal stability, potential biases, and underlying statistical assumptions
- Develop pricing scenarios and simulations to assess the impact of commercial strategies
- Collaborate with business stakeholders, Data Engineers, and Machine Learning Engineers to translate business challenges into data-driven solutions
- Communicate complex analytical findings and actionable recommendations to technical and non-technical stakeholders
Requirements
What you’ll need- 4+ years of experience as a Data Scientist, ideally working on Pricing, Revenue Growth Management (RGM), demand modeling, forecasting, or optimization
- Advanced proficiency in Python and SQL
- Strong knowledge of applied statistics, econometrics, and supervised Machine Learning
- Hands-on experience with price elasticity modeling, demand modeling, price-response curves, or equivalent approaches
- Solid understanding of own-price and cross-price elasticity
- Experience with regression models, regularization techniques, and statistical inference
- Strong background in time series analysis and forecasting
- Experience with mathematical optimization, scenario modeling, and sensitivity analysis
- Proficiency in feature engineering using pricing, volume, seasonality, and commercial variables
- Experience designing experiments, performing backtesting, and conducting statistical validation
- Hands-on experience with Databricks, Spark/PySpark, and MLflow
- Experience developing and validating statistical and Machine Learning models that support business decision-making
- Experience working with sales datasets involving pricing, volume, products, channels, geographies, and time dimensions
- Ability to build models across multiple levels of granularity and assess their statistical robustness and stability over time
- Strong analytical and problem-solving skills, with the ability to translate business challenges into mathematical and predictive models
- Excellent communication and data storytelling skills, with experience presenting insights to technical and business stakeholders
- Experience collaborating with cross-functional teams, including business stakeholders, Data Engineers, and Machine Learning Engineers
Benefits
Comp & perks- Remote-first culture – work from anywhere
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- Birthday off + an extra vacation week (Mutt Week!)
- Referral bonuses
- Maslow: Monthly credits to spend in our benefits marketplace
- Annual Mutters' Trip
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Applied StatisticsEconometricsDemand ModelingMathematical OptimizationFeature EngineeringRegression ModelsSensitivity AnalysisStatistical ValidationPredictive ModelingDemand Forecasting
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsData StorytellingCollaboration Skills
Tools & Technologies
DatabricksSpark/PySparkMLflow
Industry Keywords
Pricing StrategiesRevenue Growth ManagementPrice-Demand ElasticityCommercial VariablesCross-Functional Collaboration