Price Optimization Engineer

4 days ago

Bengaluru, Karnataka, India DevsarTech Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Job Description:

We are seeking a highly skilled
Price Optimization Engineer / Data Scientist
with expertise in
Azure cloud, inventory optimization, and price elasticity modeling
. The ideal candidate will be responsible for building scalable pricing solutions, developing optimization algorithms, and leveraging advanced analytics to maximize business outcomes.

You will work closely with cross-functional teams to design and implement pricing models, automate workflows, and generate actionable insights that enhance revenue, improve margins, and balance inventory effectively.

Key Responsibilities:

  1. Develop and implement
    price optimization models
    leveraging machine learning and econometric techniques.
  2. Analyze and model
    price elasticity of demand
    to recommend data-driven pricing strategies.
  3. Collaborate with business stakeholders to design inventory optimization frameworks that balance
    supply, demand, and profitability
    .
  4. Build and deploy end-to-end pipelines on
    Azure Cloud
    for data ingestion, transformation, and model deployment.
  5. Monitor, evaluate, and continuously improve pricing and inventory optimization models.
  6. Perform scenario-based simulations to measure the business impact of pricing and stocking decisions.
  7. Communicate findings and recommendations to business leaders in a clear, actionable manner.

Qualifications:

  1. Bachelor's/Master's in Computer Science, Data Science, Economics, or related field.
  2. 3+ years of experience
    in data science, optimization, or applied machine learning.
  3. Hands-on expertise in the
    Azure cloud ecosystem
    (Databricks, Azure ML, Synapse, Data Lake).
  4. Strong programming skills in
    Python, SQL
    (R is a plus).
  5. Experience in
    optimization algorithms, econometrics, and statistical modeling
    .
  6. Proven experience working on
    price elasticity, demand forecasting, or revenue management
    .
  7. Strong business acumen with the ability to translate data into strategic recommendations.

Preferred Skills:

  • Experience with
    inventory management systems
    and supply chain analytics.
  • Knowledge of
    A/B testing
    and experimentation frameworks.
  • Familiarity with
    MLOps practices
    for production deployment of models.

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