Statistical Analytics Engineer (F/M/D) Job in
- Kpr sugar apperals
- 7 to 11 Yrs
- Other Karnataka
- 3 months ago
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Job Description
- Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Klber Lubrication, a company of the Freudenberg Group, is the global leader in speciality lubrication with manufacturing operations in North and South America, Europe and Asia, subsidiaries in more than 30 different countries and distribution partners in all regions of the world, supported by our HQs in Germany. We are passionate about innovative tribological solutions that help our customers to be successful. We supply products and services, many of them customized, in almost all industries from automotive to the wind energy markets. Some of your Benefits Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success. Health Insurance: Rely on comprehensive services whenever you need it. Personal Development: We offer a variety of trainings to ensure you can develop in your career. Safe Environment: We strive to ensure safety remains a top priority, and provide a stable environment for our employees. Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement. Bangalore On-Site Klber Lubrication India Pvt. Ltd. You support our team as Statistical Analytics Engineer (F/M/D) Responsibilities Performs projects in statistics, data science and artificial intelligence in the technical field of KL under the guidance of experts, evaluates and comments on results Implements data processes and data products into operations and works on their operation and optimization Coordinates regularly with experts in statistics, data science and artificial intelligence at KL Maintains a balance between effort (time, cost) and expected benefit of incoming requests Contributes ideas for KL-relevant developments and methods, especially in the field of data analysis and artificial intelligence, and implements them as needed Supports the improvement and automation of processes/workflows in own & adjacent work areas through statistical methods and evaluations Works on cross-functional project teams and projects with external partners Keeps own expertise up to date (self-study, external training, meetings, specialist groups) Supports technical colleagues in the introduction, use and quality assurance of data analysis tools Presents contributions to statistics and data science in the context of Klber internal and customer training Qualifications Engineering Graduate /Masters in Chemistry, Physics or equivalent degree Overall 7 -10 years of experience in data modelling, analysis and visualization in manufacturing or industrial environment. Completed higher education in science, focus on chemistry, physics, mathematics or related discipline Strong experience in methods for processing, evaluating and modeling data In depth programming knowledge with a focus on data science and data engineering, preferably in Python Experience using cheminformatics, materials informatics, generative AI and machine learning Experience in developing interactive data applications with frameworks like Shiny, Dash or streamlit good knowledge of relational data (SQL), experience in tools like JupyterLab, Gitlab, Airflow, MLFlow, knowledge of chemical analysis and organic chemistry ,
Employement Category:
Employement Type: Full timeIndustry: Engineering / Construction
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Statistical Analytics Engineer (F/M/D) Job in
Contact Details:
Company: Klber LubricationLocation(s): Other Karnataka
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Keyskills: Statistics Data Science Artificial Intelligence Data Analysis Data Visualization Cheminformatics Machine Learning SQL Gitlab Airflow Chemical Analysis Organic Chemistry Python Programming
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