Description:
We are seeking a highly skilled and results-driven Data Scientist to join our team. In this role, you will develop and implement advanced models to support customer segmentation, sentiment analysis, and forecasting. You will work with both structured and unstructured data to deliver actionable insights that drive key business decisions. Collaboration with stakeholders will be essential to understand data needs, validate analytics outputs, and ensure alignment with business objectives.
Key Responsibilities:
Design and implement data models for customer segmentation, sentiment analysis, and forecasting accuracy.
Analyze and process structured and unstructured data to uncover trends and generate insights.
Collaborate with stakeholders to define data requirements and align analytics solutions with business goals.
Build and optimize predictive models and machine learning algorithms to address business challenges.
Develop clear and impactful data visualizations using tools such as Tableau or Power BI to communicate insights effectively.
Conduct statistical analyses and ensure the accuracy and quality of analytics deliverables.
Qualifications & Skills:
A minimum of 4 years of experience as a Data Scientist or in a related analytics role.
Proficiency in Python, R, and machine learning frameworks (e.g., TensorFlow, PyTorch, or scikit-learn).
Strong knowledge of statistical analysis, predictive modeling, and data preprocessing techniques.
Hands-on experience with data visualization tools such as Tableau or Power BI.
Familiarity with working on both structured and unstructured data sets.
Excellent communication skills and the ability to collaborate with stakeholders to translate business needs into data solutions.
Strong problem-solving and critical-thinking abilities.
Organization | Marc Ellis |
Industry | E Commerce Jobs |
Occupational Category | Data Scientist |
Job Location | Riyadh,Saudi Arabia |
Shift Type | Morning |
Job Type | Full Time |
Gender | No Preference |
Career Level | Intermediate |
Experience | 2 Years |
Posted at | 2024-12-19 1:48 pm |
Expires on | 2025-03-19 |