The Person:-• Articulate • High Energy • Passion to learn • High sense of ownership • Ability to work in a fast-paced and deadline driven environment • Loves technology • Highly skilled at Data Interpretation • Problem solver • Ability to narrate story to the business stakeholders • Generate insights and the ability to turn them into actions and decisions Skills to work in a challenging, complex project environment:-• Need you to be naturally curious and have a passion for understanding consumer behavior • A high level of motivation, passion and high sense of ownership • Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities • Flexibility to work on multiple projects and deadline-driven fast-paced environment • Ability to work in ambiguity and manage chaos Algorithm & Solution Development skills:-• Solid understanding and experience in statistical methods and programming • Experience in both supervised (classification models, regression) and unsupervised learning (clustering, PCA, LDA), Time series forecasting (Arima, Sarimax, FBProphet) • High level of proficiency in any two of the following Work experience in Digital Analytics/Web Analytics is highly preferred Hypothesis testing, insights generation, root cause analysis, drivers analysis Marketing effectiveness, performance marketing, attribution modeling, MMM Personalization, campaign management, design of experiments Data visualization using D3.JS, 3JS, RShiny, Tableau, Qlik and PowerBI or any other leading data visualization • Knowledge and Hand-on experience in these: Machine Learning (ML) models development in Python, R and SAS Develop algorithms using NLP and Text Analytics based solutions for clients, deep learning models, use of Word2Vec Data Engineering and development of Big Data solutions (Should have gained experience in Apache Spark/Spark Streaming, Cassandra, Apache Apex) Project Delivery skills:-• Gather, process, analyse and extract conclusions out of complex, high-volume, highdimensional data coming from varying sources • Design, framework development and implementation of analytics solutions • Generating insights and recommendations for clients Qualifications:- • BE/BTech from in Computer Science/Statistics • Should have a minimum 3 years’ experience in Data Analytics/Digital Analytics/Web AnalyticsPreference will be given to Immediate to 15-day joiners
About us: Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.