Geospatial Data Steward (Bengaluru)

At Bayer were visionaries, driven to solve the worlds toughest challenges and striving for a world where ,Health for all, Hunger for none is no longer a dream, but a real possibility. Were doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining impossible. There are so many reasons to join us. If youre hungry to build a wide-ranging and meaningful career in a community of brilliant and diverse minds to make a real difference, theres only one choice. Geospatial Data Steward POSITION PURPOSE: An imagery data specialist works with UAV mission data to ensure data quality for critical advancement decisions. Individuals in this role will: - Analyze and troubleshoot pre-analytic and post-analytic UAV mission data to identify necessary remediation steps - Apply standardized data remediation process to pre-analytic and post-analytic UAV mission data with standardized web toolset - Support image labeling & annotation projects (geospatial and non-geospatial imagery) using innovative industry toolsets for small scale and large scale projects that build reliable training sets for imagery models - Learn and apply different imagery label modalities used to annotate image (pixel) data, enabling computer vision models to learn from, identify, and categorize objects in images and video (bbox, keypoint, segmentation, etc.) - Identify opportunities and make recommendations to improve the quality and trustworthiness of data throughout the organization YOUR TASKS AND RESPONSIBILITIES: Collaborate - Collaborate with teammates and stakeholders to understand quality standards and conflicts associated with UAV mission data - Collaborate with teammates and stakeholders to define and implement, and help manage image label solutions, including predictive labeling - Be comfortable working with remote teammates via MS Teams and effectively communicating on asynchronous schedules - Work effectively with a small in-office team to discuss/solve spatial data quality issues and share knowledge for benefit and growth of team as a whole Communicating Analysis and Insight - Understand the appropriate media to communicate findings - Shape and share communications relevant to the audience - Give tactical recommendations on data process & improvement Communicating Between Technical and Non-Technical Colleagues - Communicate effectively with technical and non-technical stakeholders - Support and host discussions within a multidisciplinary team, with potentially difficult dynamics - Be an advocate for the team externally, and can manage differing perspectives Data Governance - Demonstrate up-to-date knowledge of data governance theory, standard methodology and the practical considerations Data Innovation - Understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage Data Lifecycle - Understand and apply data governance over a data life cycle, ensuring best practice at each phase Data Management - Understand data governance and how it works in relation to other organizational governance structures - Participate in or deliver the assurance of a service - Work within the organization to minimize data risks, adhere to information security policy, and increase data literacy Data Regulation and Ethics - Apply relevant data and ethical frameworks and standards to work Data Standards - Demonstrate an understanding of best practice data policies, processes and standards, and can implement them effectively - Understand which standards need to be applied in different scenarios - Work effectively with subject matter experts to develop the rules, policies and guidance needed to safeguard the organization's data assets Strategic Thinking - Work within a strategic context and communicate how activities meet strategic goals - Contribute to the development of strategy and policies - Identify gaps in current methodologies and work with a team to enhance workflows where appropriate WHO YOU ARE: - Bachelors degree in Computer Science, Data Engineering, Information Technology, or a related quantitative discipline such as Geography, GIS, Remote Sensing, Statistics, or other STEM related field - Strong understanding of geospatial and/or image data management principles and best practices - Exposure to GIS/Web map tools and geospatial data & concepts - Experience with data quality and governance tools and techniques, frameworks and methodologies - Proficiency in data analysis, profiling, and reporting - Experience with metadata management tools and practices - Understanding of data lineage and data cataloging concepts - Relevant work experience in data-centric environment - Ability to work collaboratively in a remote team environment Preferred - Understanding of geospatial and/or image data management principles and best practices At Ba