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İstanbul(Asya)(Pendik)
İş Yerinde
İş Yerinde
Job Type
Full-Time
Position Level
Assistant Specialist
Department
Research and Development (R&...
Research and Development...
Application Count
178 application
Job Type
Full-Time
Position Level
Assistant Specialist
Application Count
178 application
Department
Research and Development (R&D)
QUALIFICATIONS AND JOB DESCRIPTION
Established by Sistem Teknik Industrial Furnaces, Revolvind is a Data Science company targeting to revolutionize industrial production with Industry 4.0 solutions. Revolvind aims to solve production efficiency problems by using industrial IoT data-driven AI/ML systems and to grow with the 42 years of experience that Sistem Teknik provides.
Revolvind’s software team is looking for an ambitious, passionate, and curious teammate who wants to play a part in reconstructing today's industrial concepts.
Job Description:
- Build appropriate analytical solutions to ensure the competitive priorities.
- Use a broad range of statistical and machine learning techniques to provide actionable business insights like drive revenue, reduce cost, prevent fraudulent activities and improve customer experience.
- Develop production-grade data pipelines to power ML-based data products.
- Design and analyze experiments and monitor the performance of data products.
- Proactively influence product prioritization through data-driven insights.
- Design solutions with a focus on cloud, PaaS, SaaS, and serverless services
- Transform complex datasets into key strategy facts.
- Apply suitable Data Mining, Machine Learning and Deep Learning Algorithms to build high performance analytical models.
- Investigate for new open source technologies and algorithms to increase team capabilities.
- Follow trends in data science to maintain proficiency.
- Understand business objectives, data requirements and translate them into predictive models and analytical solutions.
- Propose new use cases as well as solutions.
- Challenge the running models with new methodologies to increase model performances.
- Collaborate with business partners for obtaining the best business results.
- Ability to present complex model outputs to both technical and non-tech / business audiences.
- Validate and test all model results.
- Monitoring of the model performances is essential and improve the algorithms when needed.
- Documentation of analytical solutions is also required.
Qualifications:
- BS or MS degree in Industrial Engineering, Computer Engineering, Statistics, Mathematics, MIS or other related quantitative fields.
- OR Advanced Degree or equivalent in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math’s or other quantitative fields,
- Master’s degree in Data Analytics is a plus.
- 2+ years of professional working experience in Data Science.
- Knowledge and experience with “Applied Statistics”, “Machine Learning” and “Deep Learning” concepts like Regression, Classification, Data Mining, Clustering, Neural Networks.
- Hands-on experience in building predictive models and scale it over big data.
- Extensive hands-on experience in exploratory data analysis and feature engineering.
- Strong coding / modelling experience with Python/R is a must.
- Experience within distributed environment is preferred (Hadoop, Spark)
- Strong SQL skills.
- In-depth quantitative background with excellent analytical skills.
- Strong problem solving and communication skills.
- Strong desire for continuous improvement about data analytics.
- Ability to adopt changes quickly.
- Knowledge of IoT Technologies is a plus.
- Fluent proficiency in spoken and written English is required.
It’s Great if you have some:
- Good understanding of Hadoop ecosystems
- Experience working with creating restful APIs and creating external applications to run data science models
- Experience working with Open-source products
- Working in an agile environment using test driven methodologies
- experience with Kafka, the Hadoop Ecosystem (Hadoop, Kafka, Spark), with cloud based services (AWS S3, EMR, Glue) and with containers (Docker, Kubernetes, ECS, EKS).
- experience in creating and managing an enterprise-scale Data Platform, while setting best practices for security, privacy, monitoring & alerting, and CI/CD (ideally, e.g., Azure, Prometheus, AlertManager, Grafana, Jenkins, Concourse, Airflow, Tableau, Alation)
Preferred Candidate
2 - 14 years of experience
Bachelor’s(Graduate), Master’s(Student), Master’s(Graduate), Doctorate(Student), Doctorate(Graduate)
Completed, Exempt
English(Reading : Good, Writing : Good, Speaking : Good)
Class B
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Hakkımızda
Sistem Teknik Endüstriyel Fırınlar Ltd. ileri teknoloji ısıl işlem fırınları üretimi yapmakta ve bu fırınlarla ilgili montaj,dizayn ve mühendislik hiz
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