Lead Data Scientist

5 months ago

Bengaluru, India SABIC Full time

Org Unit Name: Formulation & App APAC
Location: India-Bangalore 

Chemistry that Matters™ 

A career at SABIC provides you with an opportunity to leave a lasting positive impact to the world and yourself. From excellent health and well-being benefits to our comprehensive learning programs. We offer a wide range of benefits and offerings that recognize that our people have unique motivations and ambitions. It’s all about matching what matters to you with what matters to us. Let’s explore what matters

Our purpose is "Chemistry that Matters". This is what drives us to do what we do. "Chemistry" goes beyond applying science and technology to enhance the supply of essential materials to the world. It is how we work, to build long-lasting relationships of trust. “What Matters” is making a meaningful impact for the world – through the customers and communities we collaborate with, so that we succeed and grow together.

It is all about matching what matters to you with what matters to us. We are mindful about the importance of the team we are building and how our team members impact to our culture. We believe that good ideas come from anywhere, being inclusive to diverse perspectives is stimulating, encourages innovation and is critical to our mission. Let us explore this together

JOB PURPOSE

The Data team within Global Application Technology (GApT) supports Specialty business in digital transformation projects across divergent functions. We are seeking a Lead Data Scientist who can deliver value by solving priority business problems leveraging state-of-the-art in data science and other digital capabilities. The ideal candidate will play an integral role in advancing data-driven decision initiatives and contributing to the success of material informatics and customer experience programs at SABIC Specialties R&D. An ideal candidate would be able to demonstrate the right mix of technical and program management skils and experience required to lead/drive our decision sciences roadmap and contribute to improving the digital maturity of the SBU. We are looking for people who can embrace our values of inspire, engage, create, and deliver.

JOB RESPONSIBILITIES

Lead the decision sciences roadmap with three pillars that include: (a) establishing the right platforms and practices for collaborative data science efforts to thrive; (b) developing and leading key strategic initiatives in consultation with key stakeholders; (c) discovering and supporting proof-of-concepts to help the larger organization realize value quickly. Scope and lead key strategic projects / initiatives assigned Monitoring and thought leadership on projects initiated within the team including mentoring of junior members responsible for execution of other projects Continuous improvement on understanding of the business (products, processes, etc.) and taking part in site-level initiates related to EHS

EDUCATION & EXPERIENCE REQUIREMENTS

Master’s, or PhD Degree in Engineering or Statistics with 10+ years of experience. Majority of this should be in executing on data science / AI projects Strong technical knowledge and experience with SQL and Python and programming in general Strong technical knowledge machine learning and deep learning tools (pytorch, keras, scikit-learn, etc.) Strong technical knowledge and experience working with tabular data, time-series data, and text data in various functional areas Ability to work on all stages of data sciences / analytics projects (data engineering, model development, model deployment, dashboarding, etc.) Experience in leading projects including communication with key stakeholder management to ensure solutions to business get deployed and used Experience in polymers or chemicals or similar industries would be a plus Fully comprehends the application and implications of data pedigree, suitability of data for different analysis tools. application of advanced methods for data classification, imputation, modeling and prediction Strategic thinking and planning, including routinely assessing novel technologies and platform capabilities relevant to the business Adaptability to changing requirements, effective collaboration in a global team environment, strong delivery focus Ability to effectively balance work priorities and work on multiple projects simultaneously Implementing best-practices for project management and knowledge management for data science projects in-line with existing organizational guidelines Ability to foster and drive culture for innovation and support change initiatives for digital programs to be successful

We are proud to be a diverse and an equal opportunity employer. We are fully committed to a culture of respect and inclusion.

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