トレンド企業

Schneider Electric
Schneider Electric

Specializes in energy technology, covering electrification, automation, and digitalization for industry and homes.

Data Scientist

職種データサイエンス
経験ミドル級
勤務地Novi Sad, Serbia; Belgrade, Serbia
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

Python

AWS

Azure

Machine Learning

Data Scientist Location: Novi Sad/Belgrade AI Core team, part of Core Grid Application division, seeks new team members. The team develops AI-powered components that are expected to make the management of the electrical distribution network more efficient and safe. The team is currently working on developing a chatbot assistant that will support control room operators. Its purpose is to help them understand how the software works, how to efficiently access the supported functionalities, how to effectively troubleshoot issues, and how to utilize the full software potential. The team consists of highly experienced engineers who are ready to push their boundaries every day. If you are a highly motivated person, keen to explore new technologies daily, and ready to help us to build a high-quality functional product for our clients, we are the right address for you. What will you do: Application Development: Build and integrate applications based on local language models for multilingual and domain-specific use cases using Lang Chain Data Preparation: Work with large, complex datasets to ensure quality and relevance for NLP tasks. Model Fine-Tuning: Tune and use local language models using ML Flow on Azure in systematic way. Deployment & MLOps: Local deployment of models and applications Performance Optimization: Continuously improve system accuracy, latency, and scalability. Collaboration: Partner with software architects, product managers, and business stakeholders to align AI solutions with strategic goals. Compliance & Documentation: Ensure adherence to security, privacy, and ethical AI standards. Knowledge of MLOps best practices, including CI/CD for ML pipelines. Fluent in English What will make you successful: Education: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or related field is a plus. Experience: 1+ years in data science or machine learning roles. Good proficiency in Python, Azure or AWS Machine Learning, and MLflow. Hands-on experience with Natural Language Processing (NLP) and large language models. Experience with NVIDIA Triton or ONNX GenAI Runtime is a plus. Good understanding of vector databases and modern AI architectures, including Small Language Models (SLMs) and Large Language Models (LLMs). What's in it for you: Pleasant working environment in a great team with experienced engineers willing to support and share their knowledge Opportunity for constant personal improvement in different areas Opportunity to learn and implement various AI models in ADMS software Opportunity to understand the real business use cases Collaboration with colleagues from different organizations Private health insurance & life insurance Flexible working hours and hybrid working model Annual leave for 24 days Family policy – Parental leave & Care leave Stable, supportive and friendly work environment Team with experienced and helpful colleagues Budget for learning and other benefits Access to our own learning platform with 2000+ trainings Building a technical and/or consulting career path in the #1 world sustainable multinational company Gym & sports activities Team Building activities Having a chance to be mentored by any worldwide expert inside SE Let us learn about you! Apply today. Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric – apply today! €36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World’s most sustainable corporations You must submit an online application to be considered for any position with us. This position will be posted until filled. Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
Data Scientist Location: Novi Sad/Belgrade AI Core team, part of Core Grid Application division, seeks new team members. The team develops AI-powered components that are expected to make the management of the electrical distribution network more efficient and safe. The team is currently working on developing a chatbot assistant that will support control room operators. Its purpose is to help them understand how the software works, how to efficiently access the supported functionalities, how to effectively troubleshoot issues, and how to utilize the full software potential. The team consists of highly experienced engineers who are ready to push their boundaries every day. If you are a highly motivated person, keen to explore new technologies daily, and ready to help us to build a high-quality functional product for our clients, we are the right address for you. What will you do: Application Development: Build and integrate applications based on local language models for multilingual and domain-specific use cases using Lang Chain Data Preparation: Work with large, complex datasets to ensure quality and relevance for NLP tasks. Model Fine-Tuning: Tune and use local language models using ML Flow on Azure in systematic way. Deployment & MLOps: Local deployment of models and applications Performance Optimization: Continuously improve system accuracy, latency, and scalability. Collaboration: Partner with software architects, product managers, and business stakeholders to align AI solutions with strategic goals. Compliance & Documentation: Ensure adherence to security, privacy, and ethical AI standards. Knowledge of MLOps best practices, including CI/CD for ML pipelines.

Fluent in English:

What will make you successful: Education: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or related field is a plus. Experience: 1+ years in data science or machine learning roles. Good proficiency in Python, Azure or AWS Machine Learning, and MLflow. Hands-on experience with Natural Language Processing (NLP) and large language models. Experience with NVIDIA Triton or ONNX GenAI Runtime is a plus. Good understanding of vector databases and modern AI architectures, including Small Language Models (SLMs) and Large Language Models (LLMs). What's in it for you: Pleasant working environment in a great team with experienced engineers willing to support and share their knowledge Opportunity for constant personal improvement in different areas Opportunity to learn and implement various AI models in ADMS software Opportunity to understand the real business use cases Collaboration with colleagues from different organizations Private health insurance & life insurance Flexible working hours and hybrid working model Annual leave for 24 days Family policy – Parental leave & Care leave Stable, supportive and friendly work environment Team with experienced and helpful colleagues Budget for learning and other benefits Access to our own learning platform with 2000+ trainings Building a technical and/or consulting career path in the #1 world sustainable multinational company Gym & sports activities Team Building activities Having a chance to be mentored by any worldwide expert inside SE Let us learn about you! Apply today.

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Schneider Electricについて

Schneider Electric

Schneider Electric SE is a French multinational corporation that specializes in energy technology, covering electrification, automation, and digitalization for industry and homes.

10,001+

従業員数

Rueil-Malmaison

本社所在地

$25B

企業価値

レビュー

10件のレビュー

3.8

10件のレビュー

ワークライフバランス

3.2

報酬

4.0

企業文化

4.1

キャリア

3.5

経営陣

3.4

72%

知人への推奨率

良い点

Great company culture and team environment

Good benefits and compensation

Flexibility and work accommodations

改善点

Upper management issues and lack of support

Enforcement of in-person work policies

Limited PTO and hiring freezes

給与レンジ

14件のデータ

Mid/L4

Principal/L7

Senior/L5

Mid/L4 · DATA INTELLIGENCE ANALYST

1件のレポート

$117,000

年収総額

基本給

$90,645

ストック

-

ボーナス

-

$117,000

$117,000

面接レビュー

レビュー1件

難易度

3.0

/ 5

期間

14-28週間

内定率

100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Hiring Manager Interview

5

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Culture Fit