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Dataweave Pvt Ltd Careers
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Founded
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2011N/A

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Products & ServicesN/A

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51-250 employeesN/A

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%3Cp%3EAbout%20us%3Cbr%20%2F%3EDataWeave%20provides%20Retailers%20and%20Brands%20with%20%26ldquo%3BCompetitive%20Intelligence%20as%20a%20Service%26rdquo%3B%20that%20enables%20them%20to%20take%3Cbr%20%2F%3Ekey%20decisions%20that%20impact%20their%20revenue.%20Powered%20by%20AI%2C%20we%20provide%20easily%20consumable%20and%20actionable%3Cbr%20%2F%3Ecompetitive%20intelligence%20by%20aggregating%20and%20analyzing%20billions%20of%20publicly%20available%20data%20points%20on%20the%20Web%20to%3Cbr%20%2F%3Ehelp%20businesses%20develop%20data-driven%20strategies%20and%20make%20smarter%20decisions.%3C%2Fp%3E%0A%3Cp%3E%26nbsp%3B%3C%2Fp%3E%0A%3Cp%3EData%20Engineering%20and%20Delivery%20%40DataWeave%3C%2Fp%3E%0A%3Cp%3EWe%20the%20Delivery%20%2F%20Data%20engineering%20team%20at%20DataWeave%2C%20deliver%20the%20Intelligence%20with%20actionable%20data%20to%20the%3Cbr%20%2F%3Ecustomer.%20One%20part%20of%20the%20work%20is%20to%20write%20effective%20crawler%20bots%20to%20collect%20data%20over%20the%20web%2C%20which%20calls%20for%3Cbr%20%2F%3Ereverse%20engineering%20and%20writing%20scalable%20python%20code.%20Other%20part%20of%20the%20job%20is%20to%20crunch%20data%20with%20our%20big%20data%3Cbr%20%2F%3Estack%20%2F%20pipeline.%20Underpinnings%20are%3A%20Tooling%2C%20domain%20awareness%2C%20fast%20paced%20delivery%2C%20and%20pushing%20the%20envelope.%3C%2Fp%3E
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Jobs at Dataweave Pvt Ltd

Data Scientist
Data Scientist

Founded 2011
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Location icon
Bengaluru (Bangalore)
Experience icon
5 - 7 years
Experience icon
Best in industry30 - 40 lacs/annum

(Senior) Data Scientist Job Description About us 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! Read more on Become a DataWeaver 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 a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision. If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role. 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.

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Product Manager
Product Manager

Founded 2011
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Location icon
Bengaluru (Bangalore)
Experience icon
3 - 8 years
Experience icon
Best in industry20 - 25 lacs/annum

3+ years of software marketing/ product management experience and knowledgeable in technology. What we need nbsp; Managing the entire product life cycle from planning to execution.Specifying market requirements for current and future products by conducting market research supported by inputs from customer success sales teams and on- going visits to customers.Prioritizing needs and working across development teams, setting product release deadlines and ensuring the team delivers.Developing and implementing a company- wide go- to- market plan, working with all departments to execute.

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(Senior) Frontend Developer
(Senior) Frontend Developer

Founded 2011
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Location icon
Bengaluru (Bangalore)
Experience icon
3 - 6 years
Experience icon
Best in industry12 - 20 lacs/annum

About Us 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. Products@DataWeave We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focussed on creating value for our customers and help them succeed. We are also responsible for creating and maintaining internal products and tools that help the rest of the organization scale. Our data science, data quality, CSM, and marketing teams use tools built by the us. They are our internal customers. 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! Read more on Become a DataWeaver (https://dataweave.com/in/careers) What do we offer? - Opportunity to work on some of the most compelling data products that we are building for online retailers and brands. - Ability to see the impact of your work and the value you are adding to our customers almost immediately. - Opportunity to work on a variety of challenging problems and technologies 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, trainings, and tech conferences. Mentorship from seniors in the team. - Last but not the least, competitive salary packages and fast paced growth opportunities. Roles and Responsibilities: - Work closely with the VP of Products and UX designers to understand the product vision and design philosophy. - Talk to multiple stakeholders within the organization to understand their problems and help them scale their operations. - Work with our Technical Architects to design and architect our customer facing as well as internal web applications. - Help stabilize and scale our existing systems. Help design the next generation systems. - Design user interaction workflows on our products and integrating them with data APIs. - Constantly think about optimizing the interaction flows for better usability. Measure everything. Optimize proactively. - Be a tech thought leader. Add passion and vibrancy to the team. Push the envelope. Skills and Requirements: - A solid understanding of how the Web and Web applications works. 3-5 years of experience building and scaling Web Applications. - Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices. - Be passionate about writing code and have experience coding in multiple languages. - Strong hold in Javascript fundamentals. Knows about prototypes, closures, functional programming etc. Creating classes using ES5 methodology. DOM manipulation using JS. - Good in HTML5 and CSS. Proper structuring of HTML and CSS code. Bonus if you know about BEM model, SCSS, creating mixins. - Bonus if you know React and have built reusable components using it. If you don’t know React, should be able to pick up and contribute to production code, with less turnaround time. - Writing clean and readable code. Building components in such a way, adding features to the existing one should be of minimum effort. - Use the command line like a pro. Be proficient in Git and other essential software development tools. - Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on. - 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.

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Senior Engineering Manager
Senior Engineering Manager

Founded 2011
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Location icon
Bengaluru (Bangalore)
Experience icon
7 - 10 years
Experience icon
Best in industry30 - 35 lacs/annum

(Senior) Engineering Manager - Job Description About us Powered by AI, DataWeave provides Competitive Intelligence as a Service to retailers and consumer brands by aggregating and analyzing data from the Web at massive scale. While retailers use DataWeave’s Retail Intelligence product to make smarter pricing, assortment, and promotion decisions to drive profitable growth, consumer brands use DataWeave’s Brand Analytics product to govern their online brand presence, optimize their Share of Voice, and drive improved e-commerce shelf velocity. DataWeave’s Counterfeit Products Detection Solution was awarded as one of the “Best 50 Innovative Applications of Artificial Intelligence” by NASSCOM in 2018. Also, our competitive intelligence platform won the NASSCOM Emerge 50 Award in 2016. Some of the world’s largest and most popular retailers and brands have consistently trusted DataWeave, including the likes of Overstock, Metro Cash & Carry, OfferUp, Adidas, Dorel, and Netgear. Engineering and Products @DataWeave Data Platforms team builds and maintains core infrastructure responsible for data aggregation, processing and data distribution. Platforms is the fundamental building block for our technology stack. Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focussed on creating value for our customers and help them succeed. As a data analytics company, we bring more power to our customers' fingertips through unmatched access to key and relevant competitive insights that drive strategic decision-making. Our customers have increased their top line by up to 40% and their bottom line by up to 3X by using our competitive intelligence platform. While conventional competitive intelligence systems are still mostly limited to providing descriptive insights, DataWeave’s product suite delivers prescriptive insights, enabling instant actions and solutions to clearly defined and actionable business problems at scale. Jump aboard the innovation wagon today! Embrace the cutting edge in data science and engineering to devise novel solutions to unique problems in the world of retail. Read more at https://dataweave.com/in/careers 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! Read more on Become a DataWeaver What do we offer? ● Some of the most challenging data problems. 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. Role and responsibilities ● Plan, coordinate and deliver the product features ● Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility ● Coordinate internal resources and third parties/vendors for the flawless execution ● Measure project performance using appropriate systems, tools, metrics and techniques ● Drive, review, and finalize technical product design and changes. ● Analyze technology, resource needs to plan and assess the feasibility / delivery dates of projects. ● Leading and mentoring engineering team members, tech leads ● Work with VP Engineering, Product Managers, Delivery Managers, Customer/ Customer representatives as stakeholders for prioritization and delivery. Relevant set of skills ● Proven ability to switch context, manage multiple development activities across the team ● Relevant experience of 3+ years and overall experience of 10+ yrs ● Exposure to Bigdata / analytics product development. ● Excellent communication skills ● Experience in end-to-end development cycle for products / features ranging from hotfixes to major platform releases ● Experience in setting up development metrics and running continuous improvement initiatives ● Hands on experience in Software development/Coding ● Recruit employees; assign, direct, and evaluate their work; and oversee the development and maintenance of staff competence. ● Good with Algorithms, Data Structures and Problem Solving

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(Senior) Backend Developer
(Senior) Backend Developer

Founded 2011
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Location icon
Bengaluru (Bangalore)
Experience icon
3 - 7 years
Experience icon
Best in industry15 - 30 lacs/annum

Products@DataWeave: We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focused on creating value for our customers and help them succeed. 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! Read more on Become a DataWeaver What do we offer? - Opportunity to work on some of the most compelling data products that we are building for online retailers and brands. - Ability to see the impact of your work and the value you are adding to our customers almost immediately. - Opportunity to work on a variety of challenging problems and technologies 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, trainings, and tech conferences. Mentorship from seniors in the team. - Last but not the least, competitive salary packages and fast paced growth opportunities. Roles and Responsibilities: ● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics functionality ● Build robust RESTful APIs that serve data and insights to DataWeave and other products ● Design user interaction workflows on our products and integrating them with data APIs ● Help stabilize and scale our existing systems. Help design the next generation systems. ● Scale our back end data and analytics pipeline to handle increasingly large amounts of data. ● Work closely with the Head of Products and UX designers to understand the product vision and design philosophy ● Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and interns. ● Constantly think scale, think automation. Measure everything. Optimize proactively. ● Be a tech thought leader. Add passion and vibrancy to the team. Push the envelope. Skills and Requirements: ● 5-7 years of experience building and scaling APIs and web applications. ● Experience building and managing large scale data/analytics systems. ● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices. ● Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python. ● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on. ● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’. ● Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic. ● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ. ● 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. ● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc. ● Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies. ● Working knowledge linux server administration as well as the AWS ecosystem is desirable. ● 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.

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