The organization needs a Data Scientist III to drive data-driven decision-making and innovation across the organization.
Requirements
- Proficient in programming languages such as Python and/or R.
- Azure Cloud platform experience preferred.
- Intermediate level in SQL and experience with large-scale data processing architectures (Hadoop, HIVE, Spark/SparkR, Snowpark etc.).
- Experience working with version control systems like Azure DevOps or GitHub.
- Experience working with Databricks and MLflow is a plus.
- Snowflake (nice to have)
- Experience in the use of libraries for the development of web applications such as Shiny, Streamlit, Dash or Flask is good to have
Responsibilities
- Apply advanced statistical analysis and machine learning techniques to extract insights from large, complex datasets.
- Conduct exploratory data analysis to understand underlying patterns and relationships in the data.
- Design, develop and deploy predictive models, optimization systems, and other machine learning products.
- Interpret model outputs and communicate findings to stakeholders in a clear and actionable manner.
- Document methodologies, assumptions, and limitations of models following industry best practices.
- Collaborate with data engineers and data architects to integrate models into production systems.
- Lead end-to-end data science projects, ensuring alignment with business objectives and stakeholder requirements.
Other
- Communicate findings and recommendations to non-technical stakeholders.
- Collaborate with business leaders to identify opportunities for leveraging data science to drive strategic initiatives.
- Mentor junior data scientists and provide guidance on best practices in data analysis, modeling, and interpretation.
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Actuarial Science or similar.
- Master’s degree or advanced certification preferred.
- 5+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
