Data Scientist

Who We Are

Evo Tech Software Solutions Inc. is a highly motivated team of professionals based in Cebu, Philippines, committed to providing tailored services to Carbon6's suite of solutions. With expertise in Web Development, e-Commerce Management, Data Analytics, and Graphic Design, we offer globally competitive solutions that empower our clients' businesses to excel in today's market.

By design, we combine your vision for your brand with our creative and technical capabilities to design the right user experience. We make sure that your customers or users discover your product not only appealing, but also useful.

Empowering your company with cutting-edge software solutions. Our skilled team adapts to tech trends, ensuring your excellence in innovation through development.

With BPO, we aim to enhance efficiency and service delivery with our versatile business support. We evolve to offer swift, improved customer service solutions.

Overview

We are seeking a highly driven and analytical Data Scientist to spearhead our agency's advanced analytics efforts. This is a unique "player-only" role to start, requiring someone who is both highly strategic and deeply hands-on in execution.

The ideal candidate will bring a strong foundation in data science, analytics, and modeling, along with agency experience and an understanding of eCommerce and/or Amazon platforms (Amazon Marketing Cloud experience strongly preferred). This role is critical in helping the agency leverage data to drive measurable outcomes for our clients. Direct experience with Media is a big plus.

What We Expect

An entrepreneurial, hands-on data professional who can work independently while collaborating with internal teams. You should be a doer who thrives on rolling up your sleeves, working directly with raw data, and delivering actionable insights that influence media strategy and business outcomes. Media agency background is strongly valued, and an understanding of retail media, eCommerce, and Amazon ecosystems will give you an edge.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured datasets from multiple sources, including our proprietary media/data platforms, eCommerce environments, and Amazon Marketing Cloud.
• Design, develop, and deploy predictive models and attribution analyses to evaluate media performance and help our teams optimize spend.
• Translate complex analytical outputs into clear business insights for both technical and non-technical stakeholders.
• Partner with internal media and strategy teams to uncover opportunities where data can maximize client ROAS and business growth.
• Establish processes for data governance, ensuring accuracy, consistency, and scalability across reporting and modeling efforts.
• Serve as the sole data science lead offshore, with the potential to help scale the function in the future.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
• 3+ years of applied data science or advanced analytics experience, ideally within a media or digital agency environment.
• Proficiency in Python and/or R, with strong SQL skills for data manipulation.
• Experience with machine learning techniques, statistical modeling, and attribution modeling.
• Familiarity with visualization tools (Tableau, Power BI, Looker, or similar).
• Strong experience with eCommerce datasets; Amazon Marketing Cloud expertise strong preferred.
• Knowledge of cloud-based platforms (AWS, GCP, Azure) for large-scale data handling.
• Proven ability to work independently, manage competing deadlines, and deliver high-quality results in a remote/offshore role.

Desired Attributes

• Hands-on, solutions-oriented mindset with the ability to execute independently.
• Strong business acumen with the ability to connect data insights to client goals.
• Comfortable navigating ambiguity and building processes from the ground up.
• Collaborative spirit, eager to integrate with cross-functional teams while serving as the data expert.

Job Type: Temporary

Benefits:

• Opportunities for promotion
• Paid training
• Promotion to permanent employee
• Work from home

Work Location: Remote