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Datascience Architect

8.00 to 10.00 Years   Bangalore   28 Mar, 2022
Bosch Group
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryManufacturing
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery and viewing experiences to identify critical product insights. Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Proactively develop new metrics and studies to quantify the value of different aspects of product. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Should have independently handled a project technically and provided directions to the other Team Members. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Ongoing technical authority role with our larger customers. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Able to lead the project independently. Technical directions to junior in team, like to sort the respective task for responsible team members. Technical SkillsExpertise in following scripting languages;Python, R, Tensorflow, Keras, Pytorch ,OpenNLP, WordNet, NLTK, OpenCVTech savy and willing to work with open-Source ToolsApplying statistical and machine learning techniques, such as, mean-variance, k-means, nearest-neighbor, support vector, Bayesian time-series and network analysis to identify outliers, classify events or actors, and correlate anomalous sequences of events.Proven track record and experience with statistical modeling/data mining algorithms such asMultivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etcMachine learning, deep learning, graph mining.DOE, Forecasting, Segmentation, Uncertainty Analysis etc.Data Mining i.e. Text Mining, Classification Methods SVM, NN, etcVector Space model for Unstructured Text to Sentiment Analysis, Association Mining, Semantic AnalysisPreparation of customer proposals for AI-ML and cognitive automation topicsDesign conceptual and logical data models and flowchartsAnalyze structural requirements for new software and applicationsArchitecting design solutions for AI-ML and cognitive automationProven analytical skills and Problem-solving attitudeCustomer interface and Support during Project acquisitionsResponsible to setup COE and contribution to innovations relevant to future product and platform designsTeam mentoring and Upskilling of Junior associatesKnow how of Big data Engineering and ML Ops would be preferredMinimum of 8 to 10yrs of experience in Datascience analytics projectsShould have led digital transformation projects for clientsShould have hands on experience in building products and platforms in Datascience,

Keyskills :
continuous improvement facilitationbig datatech savydata miningtext miningdata modelsdeep learningdecision treesteam mentoring

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