Senior Data Science & AI SpecialistTake your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.
This position reports to

Manager - Advanced Analytics and AI

Your role and responsibilities

Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future! At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity, and generations. Together, we are embarking on a journey where every one of us, individually and collectively, welcomes and cel-ebrates individual differences. We 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.Reporting to the Principal Data Science Lead within the Corporate Advanced Analytics team, this role is based in Bangalore, India.The work model for the role is: #LI- Onsite, #LI- Hybrid- Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.- Build, develop, and maintain analytical models that support key business decisions.- Oversee the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations.- Engage with stakeholders to understand their business needs, formulate and complete end-to-end analysis that in-cludes data gathering, analysis, ongoing scaled deliverables, and presentations.- Implement agile methodologies in all aspects of project life cycle, ensuring timely delivery of high-quality products.- Drive the collection of new data and the refinement of exist-ing data sources; assess the effectiveness and accuracy of new data sources and data gathering techniques.- Develop custom data models and algorithms to apply to data sets, with a keen focus on financial and manufacturing do-mains.- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other busi-ness outcomes.- Coordinate with different functional teams to implement models and monitor outcomes.- Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications for the role

Master’s degree in computer science, Statistics, Applied Mathematics, or related field.6+ 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 da-ta sets.Knowledge of a variety of machine learning techniques (clus-tering, 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 coordi-nating across teams.A drive to learn and master new technologies and techniques.Experience with cloud services (AWS, Azure, GCP) and under-standing of scaling analytics projects in cloud environments.Preferred qualification: PhD in a relevant field.Experience deploying AI/ML models in a cloud environment.Familiarity with cloud technologies for advanced analytics and scaling analytics projects.Proven experience in stakeholder partnering and agile ways of working in a global organization.Demonstrated experience in mentoring and leading junior data scientistsDeep knowledge in one or more functional areas such as finance, operations, sales, account management etc.\t

More about us

ABB Finance is a trusted partner to the business and a world-class team who delivers forward-looking insights that drive sustainable long-term results and operates with the highest standards. We value people from different backgrounds. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStoryIt has come to our attention that the name of ABB is being used for asking candidates to make payments for job opportunities (interviews, offers). Please be advised that ABB makes no such requests. All our open positions are made available on our career portal for all fitting the criteria to apply.ABB does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection to recruitment with ABB, even if is claimed that the money is refundable. ABB is not liable for such transactions. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning