Operations Research – Who Needs Engineers
https://whoneedsengineers.com/wne_live
Software Engineering RecruitmentWed, 25 Sep 2024 11:20:03 +0000en-US
hourly
1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngOperations Research – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232Working Student / Data / Research Scientist
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/working-student-data-research-scientist/
Wed, 25 Sep 2024 11:20:03 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/working-student-data-research-scientist/Working Student / Data / Research Scientist
Job Description:
Join our dynamic team as a working student in the field of Data and Research Science. In this role, you will be immersed in a complex environment where our production and logistics networks are intricately interconnected. As a key part of our operations, you will be tasked with navigating the changing factors influencing these networks over time. Your primary focus will be on how to effectively and scalably implement cutting-edge concepts from machine learning, artificial intelligence, and operations research to optimize our supply chains and enhance vehicle manufacturing efficiency. This internship will provide you with the opportunity to identify planning decisions that can benefit from advanced techniques in machine learning and AI, as well as the chance to apply innovative optimization approaches to real-world challenges in production and logistics.
IT Languages:
Python
In this role, you will be responsible for various critical tasks that contribute to the optimization of our production and logistics systems.:
Identify planning decisions suitable for machine learning, AI, or operations research approaches.;; Transfer established and innovative optimization strategies to specific use cases in production and logistics.;; Adapt these strategies to meet case-specific conditions, including modeling new constraints and improving calculation efficiency.;; Implement optimization models as scalable software components within agile teams.;; Provide proactive feedback for process improvement based on resulting optimization opportunities.
Spoken Languages:
English;; German
Skillset:
Machine Learning
Artificial Intelligence
Operations Research
Applied Statistics
Python
Scikit-Learn
Pytorch
Tensorflow
Gurobi
ML-Flow
Soft Skills:
High level of initiative
Teamwork
Communication skills
Qualifications:
Currently enrolled in a Bachelor’s or Master’s program in Machine Learning, Artificial Intelligence, Operations Research, Applied Statistics, Computer Science, Mathematics, Physics, Business Informatics, or related fields.
Experience in translating mathematical concepts into software components using programming languages.
Years of Experience:
2
Location:
Europe
Job Benefits:
Hands-on experience in a leading automotive company
Opportunity to work on cutting-edge technologies
Supportive team environment
Flexible working hours
Potential for career advancement post-internship
Working Conditions:
Full Time
Employment Type:
Internship
Company Culture:
A collaborative and innovative atmosphere that encourages continuous learning and development. The company values proactive contributions and fosters a culture of teamwork and open communication.
Opportunities For Advancement:
Career development opportunities, Possibility of full-time employment after internship, Mentorship programs
Join our team to enhance the operational efficiency of our dynamic delivery logistics engine. As a Machine Learning Engineer focused on the Forecast Platform, you'll play a crucial role in refining the interaction between consumers, merchants, and delivery personnel. This position offers a unique chance to influence our business by developing predictive models that adapt to a fast-evolving operational landscape. You will collaborate with engineers, analysts, and product managers to create and improve machine learning models that serve millions of users, thereby tackling significant business challenges head-on. Your expertise will be pivotal in optimizing various aspects of our platform, including supply-demand matching, support demand predictions, and infrastructure scaling.
IT Languages:
Python
Scikit Learn
LightGBM
Spark MLLib
PyTorch
TensorFlow
As a Machine Learning Engineer, you will be responsible for the complete modeling lifecycle, from feature creation to model deployment and monitoring.:
Design and implement time-dependent statistical and machine learning models to address product needs across various business areas;; Manage the end-to-end modeling process including experimentation, monitoring, and explainability;; Contribute to the development of an internal forecasting self-service platform and repository;; Research and evaluate new tools and methodologies in the forecasting domain
Spoken Languages:
English
Skillset:
Machine Learning
Statistical Modeling
Data Analysis
Production Systems
Causal Inference
Operations Research
Forecasting
Soft Skills:
High-energy
Ownership
Humble
Adaptable
Growth-minded
Desire for impact
Qualifications:
M.S. in a relevant field with 3+ years of experience or PhD with 1+ year of experience in machine learning
Proven experience in developing statistical and machine learning models in production environments
Strong background in object-oriented programming and familiarity with machine learning libraries
Years of Experience:
3
Location:
Europe
Job Benefits:
Comprehensive healthcare package
401(k) plan with employer match
Paid time off
Paid parental leave
Wellness benefits
Disability and life insurance
Family-forming assistance
Commuter benefit match
Mental health program
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We are committed to fostering a diverse and inclusive workplace where every team member feels valued and empowered to contribute their unique perspectives. Our fast-paced environment encourages innovation and collaboration while prioritizing employee well-being and growth.
Opportunities For Advancement:
Career development programs, Leadership training, Mentorship opportunities