OneMagnify

GDIA Mission and Scope The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Mathematics, Statistics, Econometrics, Machine Learning, Big Data, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Credit, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.

Able to influence the strategic direction of the company by identifying opportunities in large, rich data sets to create and implementing data driven strategies that fuel growth including cost saving, revenue and profit

• Acquire deep understanding of the business problems and translate them into appropriate business solutions
• Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results.
• Drive development and delivery of analytic and statistical models using skills such as data acquisition and management.
• Work with business partners using a collaborative, agile approach to develop solutions rapidly that add value and are centered around the user experience.
• Ability to develop optimization and creating Gen AI models to support business for their adhoc queries
• Designing, developing, deploying and maintaining business intelligence and analytics solutions that turn data into knowledge
• Presenting information through reports and visualization
• Translate business needs to technical specifications.
• Develop and update technical / implementation documentation.
• Staying abreast of cutting-edge data science techniques, tools, and technologies, and continuously improving analytical capabilities: Key behaviors:
• Enthusiastic and self-motivated, with ability to lead projects proactively
• Meticulous attention to detail, with an overall passion for continuous improvement
• Innovative and creative, with a logical and methodical approach to problem solving
• Credible and articulate, with excellent communication, presentation and interpersonal skills
• Ability to multi-task and manage competing priorities

Requirements

• Proven experience as a Data Scientist, Computer Science, Applied math, Mechanical Engineering, Industrial Engineering, or related quantitative field. Industry experience is preferred
• In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
• Experience in programming languages such as Python, R, Scala, Java will be added advantage
• Experience with Visualization skills/tools (e.g. Microsoft Power BI, Qliksense, Tableau)
• Experience with GCP (BigQuery, Data Prep, Data Fusion)
• Knowledge of SAS, SQL queries, Alteryx
• Proven abilities to take initiative and be innovative approaches
• Strong oral, written and interpersonal communication skills
• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
• Analytical mind with a problem-solving aptitude Educational Qualification: Bachelors / Master's degree in Computer Science Engineering / Information Technology or an Engineering degree with MBA from a premier institute and quantitative emphasis