Summary
Date Posted: Wednesday, February 02, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
About the Role
We are looking to fill in a Data Scientist who will help transform data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.
The person will have the opportunity to address critical business drawbacks related to data, add intelligence to automate manual workflows and drive tangible business value.

Duties and Responsibilities
• Work with the Directors throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Get insights into product metrics and communicate those to parties
• Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
• Set KPIs and metrics to evaluate analytics solution given a particular use case.
• Refine requirements into modelling problems.
• Influence product teams through data-based recommendations.
• Hands on management of the end-to-end AI lifecycle - data collection and preparation, exploratory data analysis, model selection/testing/validation, systematic model explainability, model interpretation in business terms and deploying the model for serving

Qualifications & Skills Desirable.
• 3+ years’ experience performing data analysis to support business decisions
• BS in Data Science, Machine Learning, Statistics
• Ability to understand, translate and map business and product questions into analysis projects
• Experience working with structured and unstructured data
• Experience building end-to-end data pipelines and deploying in the Cloud (AWS or Azure or GCP)
• Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment
• Excellent communication and collaboration skills
• Ability to adapt to changing conditions and priorities
• Experience with big data and reporting stacks
• Experience designing / operating online services including defining and improving operational / business metrics
• Excellent written, verbal, and presentation skills
• Ability to collaborate in a team environment

Working Relationships
Internal Relationships:
• Directly accountable to Director-Product and Innovation and Head of Programmatic Engineering
External Relationships:
• MediaPal Clients

What We Offer
• Comprehensive Health Insurance- Inpatient/Outpatient/Dental/Optical
• Great Learning Opportunities
• High Performance Culture
Good to Note
At MediaPal, we are an equal opportunity employer & value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Work Hours: 8

Experience in Months: 24

Level of Education: Bachelor Degree

Job application procedure
Interested and qualified candidates should forward their CV to: using the position as subject of email.
Interested and qualified? Go to MediaPal on work.mobiglobe.africa to apply

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