Purpose of the Job
We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 2–3 years of hands-on experience as a data scientist in a business environment, supporting multiple departments and functions with predictive analytics and rapid development of minimal viable products (MVPs). A strong emphasis is placed on experience with pricing engines and sales forecasting solutions. You will be responsible for analyzing large datasets, building predictive models, and enabling data-driven decision-making across the organization.
Key Responsibilities
- Collect, clean, and preprocess structured and unstructured data from diverse sources.
- Develop, implement, and optimize statistical models, machine learning algorithms, and data mining techniques.
- Rapidly prototype and deliver MVPs to address business needs, especially in pricing and sales forecasting.
- Collaborate with the Global BI Team and cross-functional stakeholders to understand requirements and translate them into actionable analytical solutions.
- Support various departments (e.g., Sales, Finance, Operations) with tailored predictive models and insights.
- Visualize data insights using dashboards and reports, primarily with Power BI.
- Clearly communicate findings and recommendations to stakeholders through presentations and documentation.
- Continuously improve data quality, analytical processes, and model performance.
- Stay current with the latest trends and technologies in data science, machine learning, and AI.
Required Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 2–3 years of proven experience as a data scientist in a business setting, supporting multiple departments/functions.
- Demonstrated expertise in developing predictive models for pricing engines and sales forecasting.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data visualization tools, especially Power BI.
- Familiarity with Microsoft Azure cloud platforms is preferred.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
Preferred Qualifications
- Experience with big data technologies (e.g., Azure Data Factory, Synapse, Spark, Hadoop).
- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
- Industry experience in Construction is preferred; experience in Manufacturing or Engineering-related Big Data is also relevant.
