Machine Learning Data Analyst - Python

s maintained to reflect essential KPIs for model development and tracking.

Want to join us?

Your Role

• Collaborate with Machine Learning Development Engineers to create dashboards and key performance indicators (KPIs) for data monitoring and analysis.

• Collaborate with cross-functional teams to gather requirements, prioritize tasks, and deliver high quality KPIs metrics that's helps in decision making of product.

• Work closely with the database management team to understand the underlying data structures and ensure data availability and quality for ML model pipelines and finally for dashboard creation.

• Liaise with MLOps Engineers and ML Engineers to understand the important KPIs required for model development, tracking, and performance monitoring.

• Ensure that dashboards are user-friendly, visually appealing, and provide actionable insights for data monitoring analysts and other stakeholders.

• Ensure to have best practices for dashboard design, data visualization, user interface design, for KPI tracking of ML products.

• Provide training and support to data monitoring analysts and other end-users on how to effectively use dashboards for data analysis and decision-making.

• Stay updated on industry trends and best practices in machine learning model tracking, data visualization, and user interface design.

Your Background

Key ingredients for succeeding in this role are your:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.

• #EXP[3-8]

• Minimum 3 years of relevant experience in the field of Machine Learning

• Strong software development skills in Python and Bash scripting. You have a passion for clean, well-tested, and documented code. Automation of data collection, data processing prior to ML Model training/inference pipelines.

• Experience with maintaining data quality with the ability to understand and navigate complex data structures. Collaborate with MLOps engineers to facilitate data interfaces necessary for constructing the MLOps pipeline.

• Work collaboratively with ML engineer's to gather requirements such as performance metric, model drift detection, error analysis ,etc and define specific KPIs that will be used to monitor the ML models. Ensure that these KPIs are actionable, measurable, and aligned with the overall business objective.

• Collaborate with dashboard specialists to deploy the formulated KPIs.

• Supervise or provide technical guidance to junior's data monitoring analysts in troubleshooting anomalies and automating the creation of alerts for monitoring purposes.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Ability to prioritize tasks, manage multiple projects simultaneously, and meet tight deadlines.

Why join us?

• You can grow at Aptiv. Whether you are working towards a promotion, stepping into leadership, considering a lateral career move, or simply expanding your network - you can do it here. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.

• You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.

• You have support. Our team is our most valuable asset. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

• Hybrid and flexible working hours;

• Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);

• Life and accident insurance;

• Sodexo cards for food and beverages

• Well Being Program that includes regular workshops and networking events;

• EAP Employee Assistance;

• Access to fitness clubs (T&C apply);

• Creche facility for working parents;

Apply today, and together let's change tomorrow!

#LI-NC1

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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.