Trelleborg Sealing Solutions (TSS),a business area of Trelleborg Group is headquartered at Sweden, with manufacturing locations and marketing network across the world.
We are a manufacturing company with about 24,000 employees worldwide, and our headquarters being in Trelleborg, Sweden.
Trelleborg Sealing Solutions India joined the Trelleborg Group in 2005. The company with about 700 employees in manufacturing facility and marketing office across India has been successful in creating strong footholds in the Sealing market of the country and is recognized as the Leading Sealing Solution Provider in India.
We have an Information Technology (IT) Division in Trelleborg which consists of a team in Trelleborg (Stuttgart) and a team in Bangalore (India) to support the internal IT requirements of Trelleborg.
The IT Division in Bangalore is looking for an Data Scientist. The person suited for this role must at-least have 5 years of IT background with experience as Data Scientist and has been in a position in earlier employment that was highly exposed to an international business environment.
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.
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.
High level of intellect, enrolled in a master program in computer science, business engineering, mathematics or similar degrees, 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 statistical computer language (e.g. Python) to manipulate data and draw insights from large data sets.
Experience in working with and creating data architectures and operationalizing predictive models.
Knowledge of variety of machine learning techniques (clustering, decision tree learning, 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 with distributed data/computing tools: MAP/Reduce, Hadoop Hive, Spark, Gurobi, MySQL etc.
A drive to learn and master new technologies and techniques.
Experience visualizing/presenting data for stakeholders using periscope, business objects, D3, Power BI etc.
Profound knowledge of IoT Technology across the full IoT stack and good knowledge of software engineering.
Excellent collaboration skills.
Excellent written and verbal communication skills for coordinating across team.
Ability to work independently on sub-projects, ability to delegate task 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%)
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