Data Optimization Strategist

2 days ago


Gurgaon, Haryana, India Klook Full time

About Klook

We offer a highly competitive salary of $120,000 per year.

Job Description

  • Data-Driven Decision Making
  • Leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness.

What You'll Do:

  • Dynamic Pricing Model Development
  • Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets.
  • Predictive Analytics
  • Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments.
  • Prescriptive Analysis
  • Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints.
  • Data Exploration and Analysis
  • Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions.
  • Model Evaluation and Refinement
  • Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness.
  • Cross-Functional Collaboration
  • Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals.
  • Staying Updated
  • Stay abreast of the latest advancements in data science and pricing optimization techniques.

What You'll Need:

  • A Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn).
  • Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis).
  • Knowledge of statistical modeling and hypothesis testing.
  • Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
  • Excellent problem-solving and analytical skills.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Passion for data-driven decision-making and a continuous learner mindset.


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