XGBoost – Who Needs Engineers /wne_live Software Engineering Recruitment Fri, 04 Oct 2024 04:45:03 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 /wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png XGBoost – Who Needs Engineers /wne_live 32 32 Senior AI/ML Analyst – Analytics /jobs/data-sciene-and-analytics/senior-ai-ml-analyst-analytics/ Fri, 04 Oct 2024 04:45:03 +0000 /wne_live/jobs/jobs-categories/senior-ai-ml-analyst-analytics/ Senior AI/ML Analyst – Analytics

Job Description:

    Join our dynamic analytics team as a Senior AI/ML Analyst, where you will have the opportunity to significantly influence the future of mobility through innovative AI and machine learning solutions. In this pivotal role, you will be at the forefront of addressing complex challenges in supply chain management by designing, developing, and deploying sophisticated AI/ML models. Your work will include leading initiatives such as the implementation of Generative AI Chatbots and enhancing analytics through strategic planning and comprehensive reporting. You will play a critical role in communicating valuable insights across various divisions, ensuring that our strategies are backed by robust data analysis. If you are driven by a passion for artificial intelligence and its potential to transform industries, we invite you to apply and be part of our mission to create safer, greener, and more connected mobility solutions.

IT Languages:

  • Python
  • R

As a Senior AI/ML Analyst, you will be responsible for a range of critical tasks that contribute to our analytics capabilities and business intelligence.:

    Design, develop, and deploy advanced AI/ML models to address complex business problems;; Conduct data extraction, cleaning, and preprocessing to prepare datasets for model training and evaluation;; Analyze large datasets to identify statistical patterns, distributions, and anomalies for effective reporting;; Maintain and optimize machine learning models to ensure peak performance;; Lead the implementation of AI initiatives, including Generative AI Chatbots, within the supply chain management framework;; Engage in planning, forecasting, and reporting to modernize the overall analytics approach within the organization;; Effectively communicate findings and insights across various divisions and levels of seniority;; Act independently while serving as a trusted business partner focused on delivering results

Spoken Languages:

  • English

Skillset:

  • Machine Learning
  • Statistical Modeling
  • Data Mining
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Keras
  • XGBoost
  • Cloud Platforms
  • ML Ops

Soft Skills:

  • Problem-solving
  • Critical thinking
  • Strong communication skills
  • Team collaboration
  • Adaptability

Qualifications:

  • Bachelor’s or Master’s degree in Analytics, Information Technology, Computer Science, Data Science, or a related STEM field
  • 3+ years of hands-on experience in AI/ML, predictive/prescriptive analytics, or data science
  • Demonstrated excellence in statistical modeling and programming using Python or R

Years of Experience:

    3

Location:

    Ireland

Job Benefits:

  • Personal holidays
  • Healthcare coverage
  • Pension plan
  • Tax saver scheme
  • Free onsite breakfast
  • Discounted corporate gym membership
  • Access to internal and external training, coaching, and certifications

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We promote an inclusive work environment that values diversity and fosters professional growth for all employees. Our commitment to safety is paramount as we strive to create a work culture where everyone can thrive and contribute to innovative solutions.

Opportunities For Advancement:

  • Career development programs, Access to mentorship opportunities, Participation in international projects

Visa Sponsorship:

    Available
]]> Working Student Data Science /jobs/emerging-technologies-and-specialized-roles/working-student-data-science/ Wed, 25 Sep 2024 23:20:03 +0000 /wne_live/jobs/jobs-categories/working-student-data-science/ Working Student Data Science

Job Description:

    We are seeking a motivated Working Student to join our Data Science team, where you will have the opportunity to play a pivotal role in various data-driven projects. In this position, you will assist with essential tasks such as data collection, cleaning, and preprocessing, ensuring that our datasets are accurate and ready for analysis. Your analytical skills will come into play as you support statistical analysis and hypothesis testing, contributing to our understanding of complex data sets. You will collaborate with experienced team members on the development and evaluation of machine learning models, gaining hands-on experience in applying advanced techniques to real-world problems. Furthermore, you will help create insightful data visualizations using tools like Power BI, transforming raw data into actionable insights. Documentation will also be a key part of your role, as you contribute to the thorough documentation of our data science projects. Staying current with the latest advancements in data science and contributing to our research efforts will be essential for your personal and professional development. Additionally, you will provide general support to the Data Science team, which includes tasks such as organizing files and scheduling meetings.

IT Languages:

  • Python
  • SQL

As a Working Student in Data Science, you will engage in various tasks that support the team’s objectives and enhance your learning experience.:

    Assist with data collection, cleaning, and preprocessing activities;; Support statistical analysis and hypothesis testing efforts;; Collaborate on the development and evaluation of machine learning models;; Create informative data visualizations using Power BI;; Contribute to the documentation of ongoing data science projects;; Stay updated with advancements in the field of data science;; Provide general support to the data science team, including organizing files and scheduling meetings

Spoken Languages:

  • English;; German

Skillset:

  • Python
  • SQL
  • pandas
  • NumPy
  • scikit-learn
  • TensorFlow
  • Pytorch
  • Microsoft Azure
  • Power BI
  • matplotlib
  • XGBoost
  • LightGBM
  • PySpark

Soft Skills:

  • Teamwork
  • Adaptability
  • Effective Communication
  • Time Management

Qualifications:

  • Currently enrolled in a relevant degree program such as Computer Science, Statistics, or Data Science from an accredited university
  • Strong analytical and problem-solving capabilities with a keen interest in data-driven insights
  • Proficiency in Python and SQL for effective data manipulation and analysis
  • Familiarity with data science libraries and frameworks including pandas, NumPy, scikit-learn, TensorFlow, and Pytorch
  • Experience with Microsoft Azure for cloud computing and data storage
  • Understanding of distributed computing frameworks like PySpark is a plus
  • Knowledge of data visualization tools such as Power BI and matplotlib is beneficial
  • Solid grasp of statistical analysis and machine learning algorithms like XGBoost and LightGBM
  • Excellent organizational and time management skills to balance academic and work commitments
  • Strong written and verbal communication skills with the ability to collaborate effectively within a team environment

Years of Experience:

    0

Location:

    Hamburg, Hamburg, Germany, EU

Job Benefits:

  • Competitive hourly wage of 17 EUR
  • Proportionate vacation entitlement
  • Diverse and engaging tasks in an international work environment
  • Excellent mentoring structure with regular feedback
  • Option for up to 60% remote work

Working Conditions:

    Part Time

Employment Type:

    Internship

Company Culture:

  • Our company fosters a collaborative and innovative environment where employees are encouraged to share ideas and contribute to impactful projects. We believe in the continuous development of our team members through mentorship and constructive feedback, creating a supportive atmosphere for learning and growth.

Opportunities For Advancement:

  • Potential for future internships or job offers upon graduation, Networking opportunities within the industry, Access to training and development programs

Visa Sponsorship:

    Not Available
]]>