• 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
At least 10 years of hands-on experience in migration of complex software packages and products to Azure (Cloud Service Providers CSP) IaaS and PaaS At least 7 years of hands-on experience on programming and scripting languages (.Net, C#, WCF, MVC Web API, SQL Server, SQL Azure, Powershell). Good to have experience in IT systems, operations, automation and configuration tools to enable continuous-integration and deployment (Jenkins) Solid understanding of database management systems–traditional RDBMS ( MS SQL) Ability to wear multiple hats spanning the software-development- life-cycle across Requirements, Design, Code Development, QA, Testing, and Deployment –experience working in an Agile/Scrum methodology Analytical and Communication skills
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
Qualification & Qualities we are looking at: • Highest Degree qualification must be M.E/ M.Tech/ Ph.D (Computer Science with thesis or project in Artificial Intelligence/ Machine Learning) • Experience into Natural Language Processing will be a big plus • Outstanding B.Tech with a successful project in Machine Learning will also be considered. • Exceptionally Strong knowledge and experience in Data structures and Algortithms, Machine Learning and Artificial intelligence. • Kaggle , StackOverflow, Github participation will be a plus. • We are open to accept experience with any standard platform and programming language Responsibilities and Core Work: • Extensive research in core NLP • Expertise in core research and coming up with implementable solutions. • You will be developing the next generation AI solutions within the core R&D team. • Huge space for ideas, innovation and development towards next breakthrough in AI
Key responsibilities: Architect systems capable of serving as the brains of complex distributed products Building reusable code and libraries for future use Integration of user-facing elements with server side logic Thrives in a complex and ambiguous environment, continuously adapting for business & users Maintain, contribute and adhere to programming best practices and guidelines
SmartNomad is a revolutionary product that connects the world of travel using best-in-class data science. SmartNomad understands the traveler and using advanced analytical methods, creates one-click bookable intelligent itineraries with flight, hotels and activities tailored specifically to traveller's preference. Using cutting edge machine learning, SmartNomad serves as traveler's go-to virtual assistant during the trip. A truly superior customer experience lies at the heart of SmartNomad, it does all the heavy lifting so that nomads can explore the world carefree. We are looking for smart folks who can work with us in solving end to end data science problem.The work involves a lot of research , tapping into cutting edge research and solving problems like extracting insights from Text , building recommendations based on user preferences and their historical behaviour.
We are a startup revolutionising the way travel itinerary are created. We are building a consumer facing product using the latest state of art algorithms in Machine Learning , Deep learning , NLP and Recommendation systems.