Data Scientist

About Valiance

Valiance is a deep-tech AI company building mission-critical solutions for global enterprises across CPG, retail, manufacturing, and the public sector. As a Google Cloud and NVIDIA partner, we specialize in deploying scalable AI systems for predictive analytics, demand forecasting, and intelligent automation.

Role Overview

Data Scientist

Key Responsibilities

• Design and implement

  RGM models

  for

  promotion optimization, pricing recommendation, and elasticity measurement

  .
• Build and deploy

  Log-Log Linear

  and

  Constrained Linear Regression

  models to evaluate promo effectiveness and simulate scenarios.
• Collaborate with product and engineering teams to integrate models into production systems (preferably on

  o9 platform

  ).
• Conduct in-depth data analysis using

  Python and SQL

  to extract actionable insights on pricing and promotional strategies.
• Debug, tune, and optimize model performance for scalability and interpretability.
• Work closely with client stakeholders to

  explain model results

  , validate outputs, and ensure alignment with business objectives.
• Support end-to-end

  product implementation

  – from data ingestion and model design to deployment and monitoring.

Required Skills & Experience

• 4–7 years of hands-on experience in

  Data Science / RGM Analytics

  within

  CPG / Retail

  domains.
• Strong understanding of

  Revenue Growth Management (RGM)

  levers –

  promotion, pricing, trade spend, and assortment optimization

  .
• Proven experience building

  Promo Recommendation

  and

  Price Elasticity

  models.
• Proficiency in

  Python (NumPy, Pandas, Scikit-learn, Statsmodels)

  and

  SQL

  for data manipulation and analysis.
• Experience with

  o9 platform

  or similar

  IBP / Demand Planning

  platforms preferred.
• Solid grounding in

  Log-Log Linear Regression

  ,

  Constrained Linear Regression

  , and related econometric techniques.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and client-handling abilities to present insights to business and technical stakeholders.

Preferred Qualifications

• Master’s or Bachelor’s degree in

  Statistics, Data Science, Economics, or Engineering

  .
• Experience with large-scale data systems and integration into production environments.
• Exposure to

  CPG trade promotion planning tools

  or

  pricing optimization systems

  is a plus