Staff Data Scientist hos Optimizely i Stockholm
Arkitekterar, designar och implementerar maskininlärningssystem samt ger vägledning och mentorskap till teammedlemmar. Kräver 5 års erfarenhet av utveckling i team, expertis inom Python, maskininlärning, rekommendationssystem och NLP.
Titel och sammanfattning skrivna av AI utifrån annonsen.
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Lön
Inom yrkesgruppen Systemanalytiker och IT-arkitekter m.fl. har de som jobbar i privat sektor i Stockholm i snitt 65 900 kr i månaden, varav 64 800 kr i grundlön. I hela landet, i privat sektor, tjänar hälften mellan 52 500 kr och 70 900 kr. Det är statistik för yrket, inte vad den här arbetsgivaren betalar.
Källa: SCB, lönestrukturstatistik 2025
Anställningen
Anställningen har inget slutdatum. Den kan börja med en provanställning på högst sex månader. Vill arbetsgivaren avsluta den under provtiden ska du få besked minst två veckor i förväg; annars blir den en vanlig tillsvidareanställning när provtiden är slut. Därefter krävs sakliga skäl för att säga upp dig, och uppsägningstiden är minst en månad, längre ju längre du har varit anställd.
Ett kollektivavtal kan ge andra regler än lagen.
Texten är skriven med AI och kan innehålla fel. Kontrollera med arbetsgivaren.
Källa: Lagen om anställningsskydd (LAS)
Arbetsgivaren
Det är deras första annons inom yrkesgruppen Systemanalytiker och IT-arkitekter m.fl. på två år.
Källa: vår sammanställning av Arbetsförmedlingens annonser
Staff Data Scientist
Introduction - Legacy Section
As a Staff Data Scientist, you will play a pivotal role in architecting, designing, and implementing robust machine learning systems while providing guidance and mentorship to team members. With expertise in machine learning, you will lead technical decisions, manage complex projects, and collaborate effectively with cross-functional teams to deploy large-scale projects.
Job Responsibilities - Legacy Section
- Architect, design, and implement robust and scalable machine learning systems
- Develop and ship medium to large features independently
- Support and mentor team members by setting direction and providing guidance and feedback
- Cultivate an inclusive environment, lead meetings effectively, and actively listen to develop empathy
- Engage in high-leverage activities to deliver projects that solve complex problems with increased quality and efficiency in a timely manner
- Be an expert in the relevant areas, lead technical decisions, and own related services and components
- Gain alignment for improvements/redesigns, address conflict maturely, and effectively influence stakeholders
- Work on complex issues, exercise independent judgment, manage project uncertainties, and make tactical decisions
- Collaborate with cross-functional team members to develop and deploy large-scale projects
- Advocate software engineering and machine learning best practices
- Prioritize and balance time and resources, develop iteratively, and address cross-functional problems
- Maintain composure under difficult circumstances, adapt to shifting priorities, demonstrate self-awareness, and deliver timely feedback to peers and manager
- Play a key role in hiring, retaining, and growing diversity in the company
Knowledge and Experience - Legacy Section
Meet most of the following:
- 5+ years hands-on experience in a development team
- Previous technical leadership experience in a similar environment
- Excellent Python programming skills and experience in software development
- Strong understanding of Machine Learning, Recommender Systems and Natural Language Processing
- Strong experience planning, designing, and implementing scalable machine learning systems
- Experience with cloud computing infrastructure (AWS/Azure/GCP)
- Experience with distributed data processing (Spark or similar cloud services)
- Experience with data querying
- Basic understanding of Generative AI and LLMs
- Experience with source control tools (GitHub/GitLab)
- Great ability in conveying complex concepts to a non-technical audience
- Understanding of the ML development life cycle and/or prior experience working with teams of ML Engineers
- Ability to work in an inclusive environment and share our values
- Continuous learning and improvement mindset
Bonus points:
- Experience prototyping ideas discussed in research papers into code that can be assessed and benchmarked
- Experience with Deep Learning / Reinforcement Learning / Statistics applied to Machine Learning
- Experience with A/B testing
- Experience with data processing pipeline frameworks (e.g., Luigi or Airflow)
- Experience working with teams of Data Engineers or Product Managers
- Experience with functional programming concepts and architecture
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Systemanalytiker och IT-arkitekter m.fl. · Stockholm med grannarTitlar och arbetsplatsnamn skrivna av AI