Executive Data Science

GroupM; Daerah Khusus Ibukota Jakarta; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

A leading company in media investment is seeking a Manager for digital marketing research in Jakarta. This role involves driving the development of analytical solutions and working closely with data and digital specialists. Candidates should have a strong background in data science and statistical analysis, with proficiency in several analytical tools and a drive to innovate in a dynamic environment.

Qualifications

• 5+ years of experience in data science required.
• Proficiency in data mining, mathematics, and statistical analysis is essential.
• Experience with analytical models and data visualization tools is expected.

Responsibilities

• Collaborate with planning and digital specialists to meet needs.
• Research and create statistical and machine learning models for data analysis.
• Identify and integrate new datasets for strategic data product development.

Skills

Data mining

Mathematics

Statistical analysis

Pattern recognition

Recommendation engines

Predictive modeling

Data visualization

Education

Bachelor's degree in statistics, applied mathematics, or related discipline

Tools

Power BI

Tableau

SQL

Java

Python

R

SAS

Job description

#LI_promoted GroupM is the world's largest media investment company and a part of WPP. We are responsible for one in every three ads you see globally. We are currently looking for a Manager. The role will be responsible for driving the development of digital marketing research as a service or product for clients, as well as a tool to support the growth of digital business for GroupM agencies.

Reporting of the role: This role reports to the Mindshare Lead.

3 best things about the job:

1. Our ideal team member will have the mathematical and statistical expertise you'd expect.
2. You will join a team of data specialists, but will 'slice and dice' data using your own methods, creating new visions for the future.
3. Insightful data to power our systems and solutions.

Goals in this role:

In three months:

• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.
• Implement analytical models into production by collaborating with software developers and machine learning engineers.

In six months:

• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns, and interpret data with a clear objective in mind.

In 12 months:

• Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the digital specialist team to strategize and execute the development of data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries.
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.

What your day at Mindshare looks like:

• Collaborate with connection planning and digital specialists to understand needs.
• Research and devise innovative statistical and machine learning models for data analysis.

What you'll bring:

• Communicate findings to stakeholders, using relevant data visualizations.
• Enable smarter business processes and implement analytics for meaningful insights.
• Stay current with technical and industry developments.

Minimum qualifications:

• Bachelor's degree in statistics, applied mathematics, or related discipline.
• 5+ years of experience in data science.
• Proficiency with data mining, mathematics, and statistical analysis.
• Experience with pattern recognition, recommendation engines, and predictive modeling.
• Experience with Power BI, Tableau, SQL, and programming languages (Java, Python, R, SAS).
• Comfort working in a dynamic, research-oriented group with several ongoing projects.