Dataweave Pvt Ltd

Looking to hire for a contractual role.
Period: 6 months+
JD:
● 4-7 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.

• Own overall relationship with assigned clients, which include: Increasing adoption, ensuring retention, and satisfaction.
• Work with the internal delivery team to ensure delivery quality to exceed client's expectations.
• Establish a trusted/strategic advisor relationship with each assigned client and drive continued value of our products and services.
• Develop, prepare, and nurture customers for testimonials, references and case studies.
• Work with clients to establish critical goals, or other key performance indicators and aid the customer in achieving their goals.
• Work to identify and/or develop upsell opportunities.
• Ensure billing and collection of the assigned accounts is under control.
• Advocate customer needs/issues cross-departmentally.
• Manage account escalations.

• Proven ability to drive continuous value of solutions/products.
• Familiarity working with clients of all sizes.
• Impeccable written and verbal communication skills.
• Detail oriented and analytical.
• Strong team player but still a self-starter.
• Thrives in a multi-tasking environment and can adjust priorities quickly.

Content Marketing Manager – Job Description

 

About DataWeave

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.

 

Marketing @DataWeave

The marketing team at DataWeave wakes up to take unique challenges head on in an industry ecosystem that’s only now beginning to consolidate and mature globally. This affords marketeers the opportunity to mould the story of a rapidly growing company like DataWeave as well as the space it operates in.

We serve markets around the world, including Unites States, Europe, India, the Middle East, and South East Asia. We target a variety of industry verticals, including retail, e-commerce, consumer brand manufacturing, and investment firms. As a result, marketing at DataWeave is a rich learning experience and a crash course in engaging multiple audiences across the breadth and depth of organization levels using relevant content across diverse communication channels.    

Join the team today!

Job Summary

At DataWeave, we are seeking to hire an experienced content marketing manager who can develop and disseminate engaging and high-quality content across diverse media that speaks to a variety of personas in the retail and consumer brand industries. The selected candidate will work with the marketing team and liaise closely with several internal stakeholders at DataWeave to conceptualize and execute on marketing-oriented content on an ongoing basis. 

Responsibilities:

• Devise the content marketing plan for DataWeave and own the entire content value chain – the roadmap, ideation, writing, and dissemination. Define the success metrics.
• Write consistently on a wide variety of topics relevant to retailers and consumer brands that are looking to compete profitably in the online world. Generate content for a variety of platforms, such as blogs, website, articles, press releases, case studies, industry reports, guides, white papers, videos, and other emerging formats. Collaborate with internal stakeholders to source information on a consistent basis.
• Create persona-oriented content for marketing collaterals, brochures, presentations, scripts, at-a-glance docs, etc. that can be used by internal sales teams to have more engaged conversations with prospects.
• Understand and translate the benefits of DataWeave’s product suite, which includes proprietary AI/ML, deep learning, and data science technologies, to a business-focused audience.
• Utilize internal domain expertise and perform secondary research to gather useful information and create content that is innovative and original.
• Brainstorm and collaborate with the product, marketing, and data science teams for new ideas and concepts.
• Conduct rigorous quality checks on every piece of content produced.
• Ensure all-around consistency in the style, fonts, and images used, as well as the overall tone of the content.

Requirements:

• 4-8 years’ proven experience as a content writer, media expert, technology journalist, research analyst, or writing for an agency, especially for a B2B audience.
• Exceptional verbal and written communication skills with the ability to produce diverse types of content around the same subject matter, based on the communication medium.
• Any experience writing in the areas of retail, e-commerce, data analytics, or artificial intelligence would be an advantage.
• Bachelor’s degree or higher in journalism, media communications, engineering, or equivalent fields
• Creative thinker with the ability to transform technical and digital information and processes into compelling stories.
• Comfortable working under aggressive timelines. Ability to multitask, prioritize, and manage time efficiently.
• Self-motivated and self-directed in a fast-paced work environment
• Proficient computer skills, including Microsoft Office Suite (Word, PowerPoint, Outlook, and Excel) and Google Docs
• Content Portfolio will be required

Looking for the Candiadtes , good in coding
scraping , and problem skills

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.

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!

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.

Job Description: Project Manager

Internal Role: Delivery Manager     

Type: Full time

Location: Bangalore  

Internal Role: Delivery Manager

About Dataweave:      

About Us         

DataWeave provides “Competitive Intelligence as a Service” to Retailers and Consumer brands helping them optimize their offerings through effective pricing, assortment and promotional recommendations.

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 http://dataweave.com/about/become-dataweaver">Become a DataWeaver

 

Job Description:

• Develop a detailed project plan (Ensuring resource availability and allocation) to track progress
• Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
• Ensure that all projects are delivered on-time, within scope and within budget
• Coordinate internal resources and third parties/vendors for the flawless execution of projects
• Use appropriate verification techniques to manage risks, changes in project scope, schedule and costs
• Measure project performance using appropriate systems, tools and techniques
• Report and escalate to management as needed
• Establish and maintain relationships with Clients, internal stakeholders, third parties / vendors
• Create and maintain comprehensive project documentation

• Definition of service level agreements (SLA) in relation to services, ensuring the SLA’s are achieved; data sanity and hygiene & client expectations are exceeded
• Effectively monitor, control and support delivery, ensuring standard operating procedures and methodologies are followed
• Create KPIs for monitoring and review and publish health stats on a recurring basis

 

 

Key Skills / Knowledge required:

• Proven ability to switch context, manage multiple short projects
• Relevant experience of 3-5 years and overall experience of 8+ yrs
• Exposure to Analytics delivery process, ability to troubleshoot using insights within the data
• Basic Database query skills, with knowledge of Web-crawling concepts is preferred
• Excellent communication skills
• Team management and ability to deliver while working with cross functional teams
• Exposure to Agile Development (Scrum / Kanban) methodology is a plus

 

DataWeave is a Data Platform which aggregates publicly available data from disparate sources and makes it available in the right format to enable companies take strategic decisions using trans-firewall Analytics. 

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 http://dataweave.com/about/become-dataweaver">Become a DataWeaver

• Own overall relationship with assigned clients, which include: Increasing adoption, ensuring retention, and satisfaction.
• Work with the internal delivery team to ensure delivery quality to exceed client's expectations.
• Establish a trusted/strategic advisor relationship with each assigned client and drive continued value of our products and services.
• Develop, prepare, and nurture customers for testimonials, references and case studies.
• Work with clients to establish critical goals, or other key performance indicators and aid the customer in achieving their goals.
• Work to identify and/or develop upsell opportunities.
• Ensure billing and collection of the assigned accounts is under control.
• Advocate customer needs/issues cross-departmentally.
• Manage account escalations.

• Proven ability to drive continuous value of solutions/products.
• Familiarity working with clients of all sizes.
• Impeccable written and verbal communication skills.
• Detail oriented and analytical.
• Strong team player but still a self-starter.
• Thrives in a multi-tasking environment and can adjust priorities quickly.

• Fast paced growth opportunities at dynamically evolving start-up.
• You have the opportunity to work in many different areas and explore wide variety of tools to figure out what really excites you.

Competitive Salary Packages

(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! 

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.

Relevant set of skills
● Good communication and collaboration skills with 4-7 years of experience.
● Ability to code and script with strong grasp of CS fundamentals, excellent problem solving abilities.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Good understanding of RDBMS
● Experience in building Data pipelines and processing large datasets .
● Knowledge of building Web Scraping and data mining is a plus.
● Working knowledge of open source tools such as mysql, Solr, ElasticSearch, Cassandra ( data stores )
would be a plus.
● Expert in Python programming
Role and responsibilities
● Inclined towards working in a start-up environment.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Design and Build robust and scalable data engineering solutions for structured and unstructured data for
delivering business insights, reporting and analytics.
● Expertise in troubleshooting, debugging, data completeness and quality issues and scaling overall
system performance.
● Build robust API ’s that powers our delivery points (Dashboards, Visualizations and other integrations).