The role is for a large insurance engagement , the Individual would work with the client to identify , comprehend and solve using Statistical approaches using R studio. The role involves data analytics , Statistical Modelling . Tools involve R & SQL
• Identifying and modeling the key drivers of consumer behavior using internal and external data. • Developing prediction models to deliver key business outcomes. • Problems include working on demand forecasting, demand driven supply planning etc. • Developing optimized transportation network design for Shuttl operations to drive strategic growth • Developing algorithms to predict static and dynamic schedule of Shuttl arrival times. • Presenting clear and actionable recommendations to Products and Engineering leadership. • Relentless pursuit of achieving business goals using the power of data
1. Product: - Identify important questions with the product team and answer them with data - Create a culture of measurement and metrics across the company by developing key success metrics for the product - Work with company leaders to understand product roadmap and influence/improve it using quantitative research - Be our source of bitter truth against all product assumptions 2. Sales: - Work with sales team to automate internal dashboards which help company leaders make strategic decisions - Develop reports/research based on our data that help reduce sales time - Work with our product team to build and maintain integrations with other business systems
Key Skills: · Ability to balance the demands of multiple clients concurrently. · Ability to convey complex data science concepts to a non-technical audience. · Proficiency in MySQL or similar relational database software. · Extensive Microsoft Excel and Access knowledge and skills. · STATA or R and Python proficient. · Familiarity with R or Pandas for data analysis · Able to craft complex visualizations of data and system architecture; familiar with the creation of operational data models (program data ecosystem mapping and interpretation). Experience: · 3-7 years’ experience in an analytics-intensive position - data scientist, statistician, economist, or comparable. · 3-7 years’ experience with data and/or enterprise software implementation in the field: benchmarking of technology and systems, data management and architecture, program implementation and cycle analysis. · Experience performing data management exercises inside of large organizations (bonus points forinternational public sector entities). · Prior experience with complex data set merging, cleaning, and aggregation
Media.net is one of the world's leading companies in the Contextual Advertising space that provides a wide range of advertising and traffic monetization solutions. Since its founding, Media.net has constantly broken new ground in building innovative contextual advertising solutions.. We serve our contextual real-time ads customized for each visitor and each page view across billions of visitors, across 10's of millions sites/domains on a server infrastructure that runs 1000+ CPUs, terabytes of RAM, and 100's of petabytes of data. With more than 900 employees, Media.net has one of the largest teams worldwide building a global contextual advertising business. By market cap, Media.net is one of the Top 5 largest ad tech companies worldwide. By revenue, Media.net is the #2 largest contextual advertising businesses worldwide. Media.net is acquired by Chinese Consortium for $900 Million USD in 3rd Largest Ad Tech deal ever and this acquisition will fuel Media.net’s global expansion strategy and provide access to China’s world-class talent and capital markets.
Do apply if any of this sounds familiar! o You have expertise in NLP, Machine Learning, Information Retrieval and Data Mining. o Experience building systems based on machine learning and/or deep learning methods. o You have expertise in Graphical Models like HMM, CRF etc. o Familiar with learning to rank, matrix factorization, recommendation system. o You are familiar with the latest data science trends, tools and packages. o You have strong technical and programming skills. You are familiar with relevant technologies and languages (e.g. Python, Java, Scala etc.) o You have knowledge of Lucene based search-engines like ElasticSearch, Solr, etc and NoSQL DBs like Neo4j and MongoDB. o You are really smart and you have some way of proving it (e.g. you hold a MS/M.Tech or PhD in Computer Science, Machine Learning, Mathematics, Statistics or related field). o There is at least one project on your resume that you are extremely proud to present. o You have at least 4 years’ experience driving projects, tackling roadblocks and navigating solutions/projects through to completion o Execution - ability to manage own time and work effectively with others on projects o Communication - excellent verbal and written communication skills, ability to communicate technical topics to non-technical individuals Good to have: o Experience in a data-driven environment: Leveraging analytics and large amounts of (streaming) data to drive significant business impact. o Knowledge of MapReduce, Hadoop, Spark, etc. o Experience in creating compelling data visualizations