Aptiv is a global technology company that develops safer, greener and more connected solutions, which enable the future of mobility. For more than 100 years, we've been shaping the automotive industry with many technology firsts. And we're far from done. We collaborate, innovate, and execute with excellence, working hard to deliver the future of driving to our customers - now. Headquartered in Dublin, Aptiv has 150,000 employees and operates 14 technical centers, as well as manufacturing sites and customer support centers in 45 countries. Visit aptiv.com.
About this position
Aptiv is seeking a Data & Analytics – Data Scientist to design and implement processes for statistical data exploration, preparation, modeling, prediction, clustering, analysis, and reporting. It will involve automated data profiling and monitoring in accordance with the policies around corporate data governance and security of high-volumes of structured and unstructured data. They will use data-driven methods to detect anomalies, predict KPIs, cluster data samples, explore patterns and simplify the interpretation of complex processes using the data in the Enterprise Data Warehouse, Data Lake and Business Intelligence platforms. They are expected to propose and implement new data processing architectures, systems, workflows and solutions to drive and influence key decisions and actions regarding IT data applications and infrastructure. They will understand the business needs in relation to data life-cycle, governance, modeling and reporting and work to enhance the availability, consistency, quality, understanding, and interpretation of the data using industry best practices. They will employ state of the art machine learning and pattern recognition techniques to assess and propose solutions to complex problems that require automated decision support for continuous optimization of corporate and manufacturing processes, decisions, business services and operations.
Responsibilities and duties
Primary responsibilities of this position are related to design and implement processes for data processing systems across the organization. Some of the specific responsibilities of this role include:
Designs and implements high-throughput statistical decision making pipelines connecting data warehouses and data lakes to business intelligence dashboards via AI/ML/NLP engines.
Facilitates the preparation and delivery of advanced analytics capabilities adhering to standard industry practices such as CRISP-DM using modern enterprise AI platforms and scripting languages.
Conceive, develop, prove, transition and scale-up successful PoCs on predictive maintenance and quality assessment to manufacturing intelligence portals
Model business problems using data science principles as delivering capabilities such as root-cause analysis, outlier detection, control, dimensionality-reduction, feature-selection, hypothesis testing, interpolation, conditional relevance, syntactic relevance, error-correction, regression, rule-of-thumb, mixture-modeling, curve-fitting, noise rejection, semantic-inference, exploration, filtering, etc.
Quantify TIMWOODS wastage and reason root-causes of delays and rework using process mining for global business services.
Develop predictive models for profitability analysis of product portfolio
Develop automated methods to detect outliers and cleanup in finance data
Predict collectability of invoices and extract payment patterns in order-to-cash or procure-to-pay processes
Architect cloud-based analytics for manufacturing datalake applications
Design monitoring system for continued compliance of analytics solutions with GDPR, TISAX, CCPA, etc.
Design solutions for PII data while ensuring mechanism to control and tune reporting performance
Design centralized cloud-EDW for product engineering, program and financial reporting
Architect hybrid cloud-data lake and data warehouse for siloed corporate applications.
Plan and manage cloud-migration processes and perform risk-assessment including TCO analysis for cloud / hybrid
Design solution with data security and privacy at the forefront
Answers questions, resolve problems, and responds to requests to accomplish the objectives of the projects and programs of the organization.
Maintains quality of service by establishing and enforcing organization standards.
Contributes to team effort by accomplishing high-quality results on time.
Acquires new skills to meet demands of any new emerging challenges, technologies, tasks, projects, etc.
They will be expected to ensure project plans and project documentation are complete and up-to-date, provide regular project status updates, help acquire the necessary resources and skills, and contribute to the delivery of business systems to meet identified business requirements.
Experience and skills required
5+ years of work-experience in
data science, machine learning, natural language processing, data architecture, data engineering, business intelligence design, implementation and operations
design and implementation of new data-driven capabilities, maintain ongoing analytics projects, and import/export/deliver data for ad hoc or systematic explorations/analysis/reporting.
commercial design, implementation, deployment and maintenance of data warehouse and BI technology stacks
database optimizations, scalable computations, programming languages, operating systems, cloud-based deployments.
a majority of the following: DataOps, MLOps, Git, CI/CD, Hadoop, DevOps, Python, NoSQL, Spark, Hive, HBase, Azure/AWS/GCP, Tableau / Qlik / PowerBI / DundasBI, Teradata, Cloudera, Informatica
a majority of the following: frameworks and libraries like MXNet, Caffe 2, CNTK, Keras, scikit-learn, caret, mlr, mllib, SpartML, Tensorflow, Theano, etc.
Candidates for positions with Aptiv must be legally authorized to work in Ireland on a permanent basis. Verification of employment eligibility will be required at the time of hire.
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.