Leave Resume Here (Data Science & Analytics)

Data Science at SCG Transforming Data into Intelligent Solutions

Engineering Data-Driven Innovation Across Industries

At SCG, Data Science isn't just about crunching numbersit's about engineering predictive insights, optimizing industrial processes, and driving intelligent automation across our diverse business landscape. Whether developing AI-powered consumer analytics, optimizing supply chains, or enhancing smart manufacturing with Industry 4.0 solutions, SCG Data Scientists work at the forefront of digital transformation.

Our team builds scalable machine learning models, refines data governance frameworks, and ensures high-quality data pipelines that power strategic decision-making across multiple industries. From leveraging cloud computing to deploying real-time analytics, we turn data into action.

How Data Science Works Across Teams at SCG

(Examples Collaboration Varies by Project)

SCG fosters a highly collaborative environment where Data Scientists work closely with:

• Business & Strategy Teams Developing predictive models for market trends, pricing strategies, and customer behavior analysis.
• IoT & Smart Factory Specialists Optimizing production efficiency through real-time anomaly detection, predictive maintenance, and sensor-based analytics.
• Cloud & Infrastructure Engineers Deploying scalable data platforms, managing distributed computing frameworks, and automating big data processing.

(Team interactions evolve based on project needsthe above examples showcase just a few ways data science is applied at SCG.)

What Makes Data Science at SCG Unique

• Enterprise-Wide AI & Analytics Data Science at SCG spans multiple industries, from manufacturing to finance, allowing professionals to tackle diverse analytical challenges.
• Cutting-Edge Tools & Technologies Our teams leverage machine learning frameworks, cloud-native data platforms, and advanced AI methodologies for large-scale data processing.
• End-to-End Data Solutions SCG Data Scientists don't just analyze datathey build complete pipelines, from data ingestion to visualization, ensuring actionable insights.

Not Limited by DegreeData Science Thrives on Expertise, Not Titles

A formal background in data science, statistics, or engineering can be helpful, but real-world problem-solving skills matter most. At SCG, we prioritize candidates with:

(Examples No Fixed Requirement)

• Expertise in machine learning algorithms (classification, clustering, anomaly detection, regression).
• Hands-on experience with data pipelines, ETL tools, and cloud platforms (AWS, GCP, Azure).
• Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI, DAX).
• Strong knowledge of applied statistics, experiment design, and optimization techniques.

(SCG welcomes candidates from diverse backgrounds, including self-taught analysts, career switchers, and AI researchers. We provide mentorship, continuous learning, and real-world datasets to refine expertise.)

Tips to Strengthen Your Data Science Application for SCG

• Showcase real-world applications Whether it's predictive analytics, NLP, or deep learning, highlight practical projects you've worked on.
• Demonstrate proficiency with industry tools Experience in cloud-based AI platforms, MLOps, or data engineering adds significant value.
• Explain your impact with data Share insights on how your models improved efficiency, optimized costs, or enhanced decision-making.
• Highlight cross-functional collaboration Working with business leaders, developers, or engineers That's a key asset.

Passionate about AI-driven analytics, intelligent automation, and data-powered decision-making SCG is where you can transform raw data into real-world innovation.

Submit your resume today. When the right opportunity arises, we'll make sure you're the first to know.

While we strive to match opportunities based on individual preferences and expertise, availability may vary depending on business needs. However, we will always do our best to align opportunities with your aspirations and capabilities.