Pricing and Sourcing Analytics Expert

2 days ago

india beBeeData Full time

We are seeking a seasoned expert in advanced statistical modeling and machine learning to join our Pricing and Sourcing Science team. This individual will leverage sophisticated analytical techniques to understand short-term and longer-term pricing and sourcing dynamics at play in our marketplace. Key responsibilities include: Developing and implementing predictive models to optimize pricing, lead times, and sourcing strategies. Designing and evaluating experiments (A/B tests, multi-armed bandits, contextual bandits) to drive data-driven decision-making. Analyzing competitive pricing trends, market dynamics, and customer behavior to generate strategic insights and drive business growth. Building and maintaining scalable data pipelines with a focus on code quality, reproducibility, and best practices for deployment. Utilizing cloud platforms (AWS, GCP, or Azure) to efficiently process and model large-scale datasets. Collaborating across teams and clearly communicating insights to both technical and non-technical stakeholders, shaping strategy at the leadership level. Required skills and qualifications: Bachelor's degree in Applied Math, Computer Science, Statistics, Engineering, or a related field (Master's or Ph.D. strongly preferred). 5+ years of experience in Data Science, Machine Learning for predictive modeling or Applied Econometrics. Proven track record developing predictive and causal inference models, preferably in pricing, marketplace, or supply chain contexts. Experience with experimental design and statistical inference in real-world business settings. Proficiency in Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow/PyTorch preferred). Strong SQL skills and experience querying large-scale data platforms (e.g., Snowflake, Redshift). Familiarity with scientific software principles (version control, reproducibility, testing). Experience with cloud computing (AWS preferred). Ability to translate data insights into business recommendations. Strong communication skills, comfortable presenting technical findings to executive stakeholders. Technical skills: Proficient in Python programming language. Experienced in using pandas, NumPy, SciPy, scikit-learn, TensorFlow/PyTorch libraries. Strong understanding of SQL and query optimization techniques. Familiarity with version control systems like Git. Experience with cloud-based data platforms such as AWS.

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