Staff Data Scientist – Performance Marketing
Que
PythonSQLTableau
Lead Data Scientist – Price Elasticity Modelling
Tiger Analytics
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
CloudNumpyPySparkPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.
- We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
- Apply machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services.
- Collaborate with cross-functional teams and business partners to define technical problem statements and hypotheses to test.
- Develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools.
- Drive current and future strategy by leveraging analytical skills and communicating the results.
- Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
- Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
- Collaborate with data scientists to translate models into production-ready code.
- Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
- Design and optimize mathematical programming and machine learning models for real-world applications like Incentive elasticity model.
- Expereince implementing scenario simulation algorithms.
- Work independently to break down complex problems into actionable development tasks.
- Ensure code quality, scalability, and maintainability in a production environment.
- Contribute to sprint planning, documentation, and cross-functional collaboration.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
- Stay connected with external sources of ideas through conferences and community engagements.
Requirements
- 8 years of experience working as a Data Scientist
- Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research.
- Proficiency in Python, SQL, and PySpark.
- Experience with Databricks or similar enterprise cloud environments.
- Experience with production-level coding and deployment practices.
- Familiarity with basic machine learning techniques and mathematical optimization methods.
- Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow.
- Self-starter with an ownership mindset and the ability to work with minimal supervision.
