Senior Data Science & AI Specialist

ABB; Singapore; Hybrid; SGD 80,000 - 120,000; Full time

Job summary

Join ABB as a Senior Data Science & AI Specialist, where you will utilize your expertise in analytics and machine learning to drive strategic decisions in a hybrid work environment. Collaborate with cross-functional teams while focusing on product and process optimization in finance and manufacturing, contributing to a diverse and inclusive workplace.

Qualifications

• 7+ years of experience in a data science role focusing on analytics and data modeling.
• Strong experience using R, Python, SQL for data manipulation.
• Expertise in machine learning and statistical techniques.

Responsibilities

• Lead projects using advanced data modeling and analysis techniques.
• Build and maintain analytical models for key business decisions.
• Engage with stakeholders to understand business needs and deliver insights.

Skills

Problem-solving

Data Analytics

Cloud Environments

Machine Learning Techniques

Statistical Techniques

Education

Masters degree in Computer Science, Statistics, Applied Mathematics

Tools

Python

R

SQL

AWS

Azure

GCP

Job description

Senior Data Science & AI SpecialistAt ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. Write the next chapter of your ABB story.This position reports toPrincipal AIML LeadYour role and responsibilitiesWe are seeking a highly skilled Senior Data Scientist with expertise in finance and manufacturing domains to join our dynamic team. The ideal candidate will be adept at using internal and external data sets to find opportunities for product and process optimization and using advanced analytics or AI/ML models driving data driven decision making and action. In this role, you will partner your key stakeholders to identify opportunities to drive value through data and analytics solutions, work with our team of business analysts, junior data scientists, developers to drive experimentation, pilot and scale analytics solutions and track value impact. The work model for the role is Hybrid. #LI-Hybrid This role is contributing to the Corporate Advanced Analytics team based in Bangalore, India. You will be accountable for: - Leading cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. - Building, developing, and maintaining analytical models that support key business decisions. - Overseeing the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations. - Engaging with stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations. - Implementing agile methodologies in all aspects of project life cycle, ensuring timely delivery of high-quality products. - Driving the collection of new data and the refinement of existing data sources; assess the effectiveness and accuracy of new data sources and data gathering techniques. - Developing custom data models and algorithms to apply to data sets, with a keen focus on financial and manufacturing domains and using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. - Coordinating with different functional teams to implement models and monitor outcomes and developing processes and tools to monitor and analyze model performance and data accuracy.Qualifications for the role Masters degree in Computer Science, Statistics, Applied Mathematics, or related field. 7+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments. Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Experience with cloud services (AWS, Azure, GCP) and understanding of scaling analytics projects in cloud environments.More about us,

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