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content-writer
Responsibilities: • Mine and analyze data, applying statistical methods as necessary, pertaining to customers' discovery and viewing experiences to identify critical product insights. • 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. Requirements: • Good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). • 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. • 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 Skills: Expertise in following scripting languages • Python, R, TensorFlow, Keras, Pytorch, • OpenNLP, WordNet, NLTK, OpenCV • Tech savy and willing to work with open-Source Tools • Applying 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 as • Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc. • Machine learning, deep learning, graph mining. • DOE, Forecasting, Segmentation, Uncertainty Analysis etc. • Data Mining i. e. Text Mining, Classification Methods - SVM, NN, etc. • Vector Space model for Unstructured Text to Sentiment Analysis, Association Mining, Semantic Analysis • Preparation of customer proposals for AI-ML and cognitive automation topics • Design conceptual and logical data models and flowcharts • Analyze structural requirements for new software and applications • Architecting design solutions for AI-ML and cognitive automation • Proven analytical skills and Problem-solving attitude • Customer interface and Support during Project acquisitions • Responsible to setup COE and contribution to innovations relevant to future product and platform designs • Team mentoring and Upskilling of Junior associates • Know how of Big data Engineering and ML Ops would be preferred • Minimum of 8 to 10yrs of experience in Datascience analytics projects • Should have led digital transformation projects for clients • Should have hands on experience in building products and platforms in Datascience