Data Scientist

Senior Data Scientist we have a new job opportunity for you !

About this senior role:
Primary focus will be in developing scalable R/Shiny and Python based applications which develop on existing code for data mining, statistical analysis and prediction systems that improve process efficiencies about plant operations aligned with the overarching strategic or tactical objectives of the company.
The successful candidate will collaborate with internal business partners to implement data-driven solutions with measurable business value. The candidate must have experience working within a team environment as well as independently, on multiple projects simultaneously, and work well within deadlines. Proficiency in report generation, query writing, databases, and data visualization is imperative and proven / demonstrable experience in this regard is mandatory. In addition, the candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., R, Python, etc.) and techniques (e.g., regressionmodeling, survival analysis, machine learning, data mining, clustering, kernelized classifiers, neural networks, autoencoders, image / video classification, etc.). Experience with R/Shiny for big-data analysis built upon structured (SQL / Oracle) andunstructured (data lakes / Hadoop) file systems is a plus.
Preference will be given to candidates with image processing / video processing experience, experience with internet-of-things and streaming data as well as OSISoft PiHistorian and its equivalent WebAPI ServiceKey Resposibilities:
Build upon statistical models for data analysis of complex manufacturing processes by facilitating automation, perform parameter optimization and machine learning model re-training, including setup and maintenance of back-end infrastructure to facilitate ongoing operation of the same, both on-premises as well as on the cloud (AWS or Azure)
Develop and deploy predictive and prescriptive analytic solutions in R/Python, in teams adopting an Agile Software Development methodology
Develop analytics to address customer needs and opportunities
Process, cleanse, and verify the integrity of data used for analysis
Enhance data collection procedures to include information that is relevant for buildinganalytic systems.
Perform rapid ad-hoc analysis and present results in a clear manner starting with structured or unstructured data sets.
Keep up-to-date with latest technology trendsMgr. Lenka Mrázová, Lugera – The People RepublicŠtúrova 27 , 040 01 KošiceMobile: 00421 (908) 997 135lenka.mrazova@lugera.com, https://lugera.com/ .

Data ScientistRequirements:

University degree in Computer Science, Information Systems or related discipline (including Statistics, Data Science, Mathematics, Engineering) with 2-3 years of priorequivalent work experience in data analysis in lieu of an advanced degree
Preferred candidate will have aPhD. degree and experience with adopting tools for Machine Learning and Image Analysis to develop models capable of facilitating process automation and/or presenting production-grade models for consumption via API services.
Proven expertise in leveraging statistics, machine learning, algorithms and advanced mathematics to solve engineering problems
Working knowledge of statistics and programming applied to autoregressive and vector autoregressive predictive modeling problems involving time-series data
Experience working in data mining or natural language processing
Demonstrated skill in the use of one or more analytic, visualization and data querying software tools or languages (e.g., R/Shiny, Python, Java, SQL, Hive / Hadoop, .Net)
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
Demonstrated skill at data visualization and storytelling for an audience of stakeholders
Ability to work independently, think creatively and solve problems
Strong organizational, project, process and time management skills
Excellent communication skills
The motivation to achieve results in a fast-paced environment.Strong attention to detailOther Requirements:
Data mining knowledge that spans a range of disciplines
Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Experience with statistical modelling / machine learningMgr. Lenka Mrázová, Lugera – The People RepublicŠtúrova 27 , 040 01 KošiceMobile: 00421 (908) 997 135lenka.mrazova@lugera.com, https://lugera.com/

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