Purpose of the Job
We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 23 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:
- Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics or a related field.
- 23 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.
Required Experience:
Junior IC
Purpose of the JobWe are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 23 years of hands-on experience as a data scientist in a business environment supporting multiple departments and functions with predictive analytics and rapid development o...
Purpose of the Job
We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 23 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:
- Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics or a related field.
- 23 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.
Required Experience:
Junior IC
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