Data Scientist - R29859 | ScaleneWorks INC
full-time
Posted on November 9, 2025
Job Description
Data Scientist - Dynamic Pricing and Revenue Management
Company Overview
Not specified
Job Summary
The Data Scientist will analyze user requirements and design technical solutions for Dynamic Pricing and Revenue Management applications, contributing to the optimization of pricing strategies through data analysis and machine learning techniques.
Responsibilities
- Analyze user requirements and design technical solutions for Dynamic Pricing and Revenue Management applications.
- Develop, test, and maintain data pipelines and algorithms to transform data into actionable insights.
- Train and calibrate machine learning models, enhancing existing algorithms for real-time price optimization.
- Collaborate with cross-functional teams to ensure data reliability, compliance, and continuous improvement.
- Support product validation, conduct performance testing, and provide technical expertise to stakeholders.
Qualifications
- 6-9 years of experience applying data science techniques such as machine learning, artificial intelligence, or high-performance computing.
- Proficiency in Python, Java, Scala, or PySpark, with experience in applied machine learning frameworks (e.g., PyTorch, TensorFlow, Keras, XGBoost).
- Experience with big data technologies (e.g., Hadoop, Spark), data engineering, and cloud platforms (Azure, Databricks is a plus).
- Strong skills in SQL, MongoDB, and data visualization tools (e.g., Tableau, Power BI).
- Interest in mathematics, modeling, and developing algorithms for complex business scenarios.
- Ability to work collaboratively, communicate technical concepts clearly, and adapt to a dynamic, innovative environment.
Preferred Skills
- Experience with cloud computing architectures.
- Familiarity with Agile or Scrum methodologies for project management.
- Understanding of best practices in data privacy and compliance.
Experience
- A minimum of 6-9 years of relevant experience in data science roles, specifically in machine learning and data-driven strategy development.
Environment
Not specified
Salary
Not specified
Growth Opportunities
Not specified
Benefits
Not specified