Job Location: Bangalore
Trelleborg is a world leader in engineered polymer solutions for almost every industry on the planet. By specializing in the polymer engineering that makes innovation and application possible, Trelleborg works closely with leading industry brands to accelerate their performance in a sustainable way, drive their business forwardโand along the way, shape the industry and progress that will benefit humankind in the exciting years ahead.
Headquarters being in Sweden, we are a manufacturing company with about 24,000 employees worldwide and is currently looking for a Data Scientist for the Bangalore Location.
Duties and Responsibilities:
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases and data streams to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modelling to increase and optimize engineering, manufacturing, customer experience, revenue generation, ad targeting and other business outcomes.
- Align, promote and constantly update the data science tools and technology stack with relevant stakeholders.
- Coordinate with different functional teams in IS&P, TSS, and Trelleborg Group to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Profile:
- High level of intellect, enrolled in a master program in computer science, business engineering, mathematics or similar degree, Ph.D. degree is a big plus.
- Strong problem-solving skills with an emphasis on engineering and manufacturing, data science experience in a manufacturing environment is a plus
- Experience using the programming language Python to manipulate data and draw insights from large data sets
- Experience working with and creating data architectures and operationalizing predictive models
- A drive to learn and master new technologies and techniques
- Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
- Knowledge of a variety of machine learning techniques (clustering, artificial neural networks, etc.) as well as mathematical optimization and their real-world advantages/drawbacks.
- Advanced Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
- Experience in understanding and optimizing AI/ML services in Cloud ecosystems, preferable MS Azure
- Good software development skills and basic knowledge of good software development patterns, including software testing
- Experience with software code repositories and CD/CI systems, such as GIT, Azure or Bitbucket
- Excellent collaboration skills
- Excellent written and verbal communication skills for coordinating across teams.
- Ability to work independently on sub-projects, ability to delegate tasks to support functions (e.g., data engineers)
- Takes responsibility for team activities that stretch beyond own functional area and ensure participation of others who are affected by plans or actions
- Present oneself clearly and articulately when speaking with or presenting to engineers and senior management
- Fluent in English, additional language skills are an advantage
- Ability to travel internationally as required by the Business (up to 50%)
Our benefits for you
- Work in multicultural environments
- Family friendly and life-phase oriented company culture
- Flexible work hours with mobile work quantum
Start shaping industry from the inside
Feel free to contact our HR Recruitment Team for any questions:
HR
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