
Product Analyst (Process Excellence Team, Episource)
Key Responsibilities and Deliverables
- Ensure timely release of features and bugs.
- Talk to development team and ensure all roadblocks are cleared.
- Participate in user acceptance testing and undertaking the functionality testing of new system
- Do due-diligence (or innovative workshops) with teams to identify areas of Salesforce improvement
- Interpret business needs and translating them into the application and operational requirement with the help of strong analytical and product management skills
- Prepare requirements and act as a liaison between development team and ops
- Create stories in JIRA and ensure they are discussed with dev team for proper sign offs.
- Prepare monthly, quarterly and six months plan for product roadmap
- Create product roadmaps after discussing with business heads.
- Ideate and define epics for the product and then define product functions.
- Each feature or new product development should result in cost per chart optimization or in helping new business line
- Work on other product lines associated with Salesforce
- Based on business need, work on other product line like retrieval, coding and HRA business on Salesforce
- Training about products and its usage to the customer
- Give proper training to end users on the product usage and its functionality
- Prepare product training manuals during roll out.
Skills & Attributes required
- Technical Skills
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- Statistical Analysis Tools and techniques
- Process Definition, Process Designing, Process Modelling and Simulation, Process and Program Management and BPR
- Mid/Large Scale transformations and System Implementations Project
- Stakeholder Requirement Analysis
- Should have good understanding of the latest technology like Machine learning, Natural language processing, & AWS.
- Strong Analytical Skills
- Data Exploration and Analysis
- Has the ability of start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problems
- Communication Skills
- Has the ability to communicate effectively to all the stakeholders
- Demonstrated ability to communicate complex technical problems in simple plain stories
- Ability to present information professionally and concisely with supporting data
- Creative Problem Solving and Decision Making
- Needs to be a self-initiator and should be able to work independently on solving complex business problems
- Needs to understand customer pain points and should have the ability to innovate processes
- Inspecting process meticulously, identify value-adds thereby re-aligning processes for operational and financial efficiency

About Episource
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Key Responsibilities:
- Visit schools, colleges, and government offices to promote and sell our books
- Meet Principals, Teachers, and Education Officials to generate and close bulk orders
- Present book samples and effectively communicate their value
- Follow up with prospects and ensure conversion to confirmed orders
- Achieve monthly and quarterly sales targets
Candidate Requirements:
- 2–5 years of experience in field sales (educational/book sales preferred)
- Strong communication and negotiation skills
- Ability to build relationships and close deals
- Willingness to travel and meet clients regularly
- Self-motivated and target-driven
Additional Information:
This is a field sales role, not a desk-based position
Performance will be measured based on sales targets and closures
Compensation:
Fixed Salary + Travel Allowance
- Strong UX Design / Product Design profile
- Mandatory - Minimum 9+ YOE in UX / Product Design
- Mandatory - Strong portfolio of UX / Product Design works,
- Team handling of UX designers and project management
- Mandatory - Design Education (BDes, MDes, BFA, MFA or Similar Design Degrees)
- Mandatory - Should NOT have more than 12 Years of Total Experience
To be successful in this role, one must have min. 3 - 7 years of experience in a start-up/product-based software development firm who started his career as a technical recruiter and gradually grew to the stage of handling teams & stakeholders.
Roles & Responsibilities:
- The role is someone needs to contribute 50% IC & 50% team handling.
- Succession Planning & workforce forecast.
- Must ensure the sufficient workforce is available based on business needs at all times.
- Should execute the overall end-end recruitment process with the hiring Manager's & the stakeholder's, must ensure the task is successfully completed either as a Team or IC on a need basis.
- Go-getter person & should be flexible to grow and change in a rapid environment.
- Should be more organized as a team and ready to roll off your sleeves as needed to execute things in different verticals of HR department.
- Min. 3 - 7 years of experience in Technical Recruitment.
- Must have worked in a product based / start-up only are eligible.
- Should have experience in handling Stakeholders & must have exposure in working with Management.
- Should have experience in hiring Tech stacks like Java, Angular, Devops, testing, ABAP and non-tech like PM, BA, Consultants, support, sales etc from Junior to Senior level.
- Expertise in Boolean & X-ray search.
- talented in Headhunting & harvesting.
- Should have handled a team of at least 3 people.
- The right fit is someone who can source quality & qualified sources rather more than quantity.
Product Based Client:
A multinational technology and e-commerce company based in the United States is widely recognized as one of the world's largest online retailers. In addition to e-commerce, it is a major player in cloud computing through its cloud services division and has expanded into areas such as streaming services, artificial intelligence, and smart devices.
Essential Job Functions:
Top 3 responsibilities
• Taking for operational work.
• Monitoring data pipelines.
• Addressing/Triaging customer tickets
Qualifications:
Exp: 1+ Years
• Skillset:Core Java, Data Structures, Al
• Build an advanced ecommerce admin dashboard application for our platform.
• Proven working experience in React JS app development and experience with Webpacks and integration with
NodeJS.
• Good understanding of Hooks and Redux State Management tools.
• Understanding of React Design principles and architecture patterns.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work with outside data sources and APIs like the one of Unicommerce.
• Create Unit-test code for robustness, including edge cases, usability, and general reliability. Work on bug fixing
and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximise development efficiency.
• Translate designs and wireframes into high quality code.
• Have a good understanding of CI/CD tools (any).
• Robust knowledge of popular databases like MongoDB, Elastic Search, DynamoDB, Redis etc;
• Knowledge about AWS Amplify is super plus.
CANDIDATES MUST HAVE
• React JS, Redux
• Hooks and redux state managements
• React design principles
• Architectural pattern
• Unit test code
• High level design
• Ci/cd tool
• Elasticsearch, DynamoDB, Redis
• AWS amplify
• ES6/ ECMAScript, JavaScript,
• NodeJS, IDEs, Restful API’s , Git
What will you do?
- Act as senior level escalation point for technical remediation of incidents and service requests.
- Work as L2 resource in AWS Cloud infrastructure and system administration team providing technical support and resolving issues
- Troubleshoot technical issues faced which could be related to external interfaces, networking, application and Ubuntu configuration, IIS Configuration, Linux Servers etc.
- Resolving urgent and immediate requests by support team in a vibrant and demanding environment.
- Test upgrades and patches from development team prior to client rollout
- Document the Interface testing and other details, update and complete all handovers.
- Coordinate directly with on-site IT, vendors, off-site helpdesks over email or phone calls to complete technical assignments.
- Do audit of new implemented properties for initial few weeks and identify the repeated issues reported by property.
Technical Competencies you’ll possess:
- Strong Linux and Windows Administration skills
- In depth knowledge of the windows servers & Linux servers.
- Good understanding of AWS Cloud Infrastructure, Networking, Firewall, Infrastructure, SQL and IIS Configuration, Ubuntu Configurations and MySQL.
- Working knowledge of interfaces and integrations of systems.
- Enhanced troubleshooting skills.
- Possess a good understanding of Internet based technologies including DNS, Security, IP Routing,- SSH, FTP, HTTP/HTTPS, Email Routing, etc.
Location: Bangalore
Reporting Manager: VP, Engineering
Job Description:
● Min 4-5 years of experience in Mobile application development
● Min 2-year Experience in React Native app development
● Firm grasp of the JavaScript and TypeScript language and its nuances, including ES6+ syntax
Follow best practices using Android Guidelines
● Knowledge of functional or object-oriented programming
● Technically strong in React-Redux/Mobx development and deep understanding of core mobile
concepts such as lifecycle, UI, networking, caching, device features, etc
● Experiences with automated testing suites, like Jest or Mocha
● Experience integrating third-party frameworks. Worked with logging and capturing user navigation
and app usage to Analytics and Crashlytics for understanding the most used features by users.
● Knowledge of mobile security and cryptography is an advantage.
● Good working knowledge of tools such as Git, JIRA, Jenkins, or any tools that are similar to
these.
● Experience with agile methodology is preferred
● Good communication skills
● Good knowledge of app telemetry integration & app performance management
● Have published at least 2 React Native apps on Play Store & Appstore
Key Skills:
● Implement robust app architectures and complex user interfaces
● Component Design and coding new features. includes unit tests, debugs, and solves defects
● Component Design/Coding/Unit Testing/Debugging
● Responsible for designing app architecture and integration design to various external systems
(APIs, 3rd Party SDK)
● Follow best practices using React Native Guidelines
● Understand reacting design patterns like HOC, Render Props, and their applications.
● Good understanding of atomic design principles
● Experience with CSS-in-js / styled-components
● Good understanding of Android & iOS working principles, Release process
● Ability to multi-task under pressure and work independently with minimal supervision
● Work on high-performance consumer-facing apps
● Understanding the nature of asynchronous programming and its quirks and workarounds.
● Good understanding of server-side templating languages (such as jade, EJS, and pug).
● Creating database schemas that represent and support business processes.
● Implementing automated testing platforms and unit tests.
● Basic understanding of front-end technologies, such as HTML5, SCSS, and CSS3.
● Ability to make recommendations on UI design and UX best practices.
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.










