Primary Responsibilitiesinclude but are not limited to the following:
- Work with large sets of relevant and high-quality data, including but not limited to direct sales, point of sale, CRM data, and industry data.
- Apply powerful learning algorithms to make predictions and gain predictive insights for sales estimation, AR overdue forecast, order fulfillment predicting, targeting/ customer clustering, text analysis, anomaly detection, and more.
- Use optimization techniques to transform predictions into actionable prescriptions. Ensure that actions taken, and relevant metrics are stored to achieve business value.
Basic Qualifications:
- Possess a bachelor’s degree or higher (completed and verified prior to start) from an accredited institution.
- Minimum of one year of combined experience in predictive and prescriptive data analytics.
- Good skills onmachine learning algorithms, Python, SQL, etc., with 2+ years of experience.
- Advanced English
Preferred Qualifications:
- Master’s degree or higher from an accredited institution.
- Strong technical expertise, including intermediate-level data processing, machine learning algorithms, programming language scripting, data visualization, basic ML Ops platform knowledge, and probability and statistics.
- Experience in customer-facing roles with good business understanding and knowledge.
- Experience working within a globally matrixed organization.
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.