Junior Sales Executives

User Research & Analysis:

• Conduct user research, including user interviews, surveys, and usability testing, to understand user needs, behaviors, and pain points.   
• Analyze research data and translate findings into actionable insights.
• Develop user personas, user journeys, and other user-centered artifacts.

Interaction Design & Prototyping:

• Create wireframes, prototypes, and user flows to illustrate design concepts.
• Develop interactive prototypes for user testing and stakeholder feedback.
• Design intuitive and user-friendly interfaces for web and mobile applications.

Visual Design Collaboration:

• Collaborate with visual designers to ensure consistent and cohesive user experiences.
• Contribute to the development and maintenance of design systems and style guides.
• Ensure designs are accessible and adhere to accessibility guidelines (WCAG).

Collaboration & Communication:

• Work closely with product managers, engineers, and other stakeholders to define product requirements and design solutions.
• Present design concepts and rationale to stakeholders.
• Effectively communicate design decisions and rationale.
• Participate in design reviews and provide constructive feedback.

Iteration & Optimization:

• Analyze user feedback and usage data to identify areas for improvement.
• Iterate on designs based on user feedback and testing results.
• Stay up-to-date with the latest UX trends and best practices.

• Achieving Stretched Targets In A Result-Focused Environment.
• Making Powerful Sales Presentations Resulting In High Conversion Ratio.
• Handling Objections And Resolving Member/ Customer Conflicts By Constantly Connecting With Them Through Member Meetings.
• Maintaining Strong Client Relationship And High Level Of Customer Service.
• Preparing Pre-Sales Proposals For Prospective Clients.
• Identifying Potential Customers And New Business Opportunities Within And Outside The Venue.
• Keeping Abreast With The Organization's Products And Services.
• Maintaining Consistent Average Productivity.
• Provide Necessary Support In Booking First Time Holiday For New Members And Generate Quality Referrals From Them.
• Qualifications -1 To 5 Years' Quota Carrying Sales Experience
• Experience And Working Knowledge Of CRM Systems
• Demonstrable Track Record Of Over-Achieving Quota
• Strong Written And Verbal Communication Skills

• 9+ years of experience in enterprise web application design and development with 4+ years of experience as an automation architect.
• Experienced in technology stack selection and the definition of solution, technology and integration architectures for small to mid-sized applications and cloud hosted platforms
• Strong understanding of various design and architecture patterns
• Experience in implementing and governing software engineering processes, practices, tools and standards for development teams
• Experience of setting up and operating the DevOps and automation infrastructure for continuous integration and delivery
• Full SDLC experience leveraging Agile, TDD and BDD for building and rolling out highly transactional and highly available platforms hosted on premise and on the cloud
• Proficient in effort estimation techniques
• Must be hands on technology and able to troubleshoot critical issues in design or code
• Experience in Mobile Applications automation using SeeTest, Appium
• Strong hands-on experience of designing and developing technology frameworks and micro-services, APIs, REST Web Services, leveraging Java and open source technology stack (i.e. Java, JavaScript, Node.js/ Angular.js/ React.js, Spring Bot, Non-blocking Java, etc. )
• Hands on experience with JBehave, Cucumber, TestNG, Extent Reports
• Strong design, development and performance tuning skills on at least two or more databases such as Oracle, SQL Server, NOSQL and NewSQL (e.g. PostgresQL, Cassandra, Mongo DB, Cosmos DB, MySQL etc.)
• Experience on enterprise architecture patterns and a couple of past examples of architecting high availability, scale and performance applications 
• Strong experience with code review and evaluate the architecture as well as design towards a set of business and technology goals
• Experience with SonarQube code coverage and code quality
• Experience with Cypress JavaScript automation
• Experience on command prompt tools like Shell Script, UNIX
• Hands on experience on Cloud stacks (AWS preferred)
• Hands on experience with standalone applications automation using UFT, LeanFT and VB Script
• Knowledge of principles on code quality, distributed applications, TDD & test automation, self-monitoring applications, refactoring and technical debt

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.

YOU'LL BE OUR : Data Scientist                                                            YOU'LL BE BASED AT: IBC Knowledge Park, Bangalore

YOU'LL BE ALIGNED WITH :Engineering Manager

YOU'LL BE A MEMBER OF : Data Intelligence

WHAT YOU'LL DO AT ATHER:

• Work with the vehicle intelligence platform to evolve the algorithms and the platform enhancing ride experience.

• Provide data driven solutions from simple to fairly complex insights on the data collected from the vehicle

• Identify measures and metrics that could be used insightfully to make decisions across firmware components and productionize these.

• Support the data science lead and manager and partner in fairly intensive projects around diagnostics, predictive modeling, BI and Engineering data sciences.

• Build and automate scripts that could be re-used efficiently.

• Build interactive reports/dashboards that could be re-used across engineering teams for their discussions/ explorations iteratively

• Support monitoring, measuring the success of algorithms and features build and lead innovation through objective reasoning and thinking Engage with the data science lead and the engineering team stakeholders on the solution approach and draft a plan of action.

• Contribute to product/team roadmap by generating and implementing innovative data and analysis based ideas as product features

• Handhold/Guide team in successful conceptualization and implementation of key product differentiators through effective benchmarking.

HERE'S WHAT WE ARE LOOKING FOR :

• Good understanding of C++, Golang programming skills and system architecture understanding

• Experience with IOT, telemetry will be a plus

• Proficient in R markdown/ Python/ Grafana 

• Proficient in SQL and No-SQL

• Proficient in R  / Python programming

• Good understanding of ML techniques/ Sparks ML

YOU BRING TO ATHER:

• B.E/B.Tech preferably in Computer Science

•  3 to 5 yrs of work experience as Data Scientist