Become a Dataweaver

Roles and Responsibilities:

• Extract data from the databases, come up with hypotheses and validate them from the data
• Analyse available data to discover new insights/trends
• Explore new ideas/use cases based on the available data and any ideas on potential acquisition of new data sources
• Represent the observations and insights through visuals
• Develop powerpoint docs to communicate insights
• Ensure accuracy of the analysis results and automate them for frequent generation
• Communicate analysis plan and insights and co-ordinate across teams

Skills and Requirements:

• Working experience and good proficiency in one analytical language
• Proven ability to deal with large volume of data
• Experience in analysing data using both hypothesis driven approach and discovery driven approach
• Good communication skills
• Exposure to structured and analytical problem solving
• Good working knowledge of MS Excel

Growth at DataWeave

• 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 & ESOP’s.

• Type: Full time
• Location: Bangalore   
• Internal Role: Delivery Manager 

• 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 Become a DataWeaver

• 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

• 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 

Sr Data Engineer Job Description

• 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!

• Building an intelligent and highly scalable crawling platform
• Data extraction and processing at scale
• Enhancing existing data stores/data models
• Building a low latency API layer for serving data to power Dashboards, Reports, and Analytics functionality
• Constantly evolving our data platform to support new features

• 4+ years of relevant industry experience.
• Strong in algorithms and problem solving Skills
• Software development experience in one or more general purpose programming languages (e.g. Python, C/C++, Ruby, Java, C#).
• Exceptional coding abilities and experience with building large-scale and high-availability applications.
• Experience in search/information retrieval platforms like Solr, Lucene and ElasticSearch.
• Experience in building and maintaining large scale web crawlers.
• In Depth knowledge of SQL and and No-Sql datastore.
• Ability to design and build quick prototypes.
• Experience in working on cloud based infrastructure like AWS, GCE.

• 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.

• If you are energetic, highly motivated, can-do attitude individual who enjoy in networking and establishing relationships, we have the perfect job for you! We are looking for a bright, enthusiastic Partnerships Manager who is full of ideas in retail analytics to help us ensure commercial and strategic relationships with our key targeted partners.

• Create a systematic, process-driven approach to partner outreach and relationship management
• Identify and source partnership opportunities through inbound lead follow-up and outbound cold calls, emails and client visits
• Research partners, identify key players and generate interest
• Manage and grow existing partnerships to ensure revenue delivery
• Collaborate with senior management and other teammates to align our internal goals with new and existing partner relationships
• Keep a great ongoing relationship with current partners and offer new ways to grow the partnership
• Constantly look to learn from partners about new end client use cases and incorporate that as feedback internally
• Understand how to map partner organizations to better navigate and further revenue from a partner
• Should be comfortable in interacting with CXOs and presenting to the C-Suite
• Will have an international focus
• The role will require some amount of travel
• This role is a revenue generating role and will carry revenue targets

• Previous working experience of 5-15 year(s)
• MBA desired 
• Should ideally have experience in two of the three across analytics domain, retail domain or technology partnership management experience
• Outstanding communication and interpersonal skills
• Excellent organizational and time management skills
• Strategic thinker
• Networking aptitude
• Great multitasking skills
• Attention to details

• 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.

• 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.

• 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 -- end to end.
• Help stabilize and scale our existing systems. Help design the next generation systems.
• 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.
• Constantly think scale, think automation. Measure everything. Optimize proactively.
• Be a tech thought leader. Add passion and vibrance to the team. Push the envelope.

• 3-5 years of experience building and scaling Web Applications and APIs. 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.
• Experience building applications with PHP and Javascript essential. Experience with Python is a bonus. 
• In depth understanding of relational databases; hands on experience writing and optimizing non-trivial MySQL queries. 
• It’s a bonus if you have worked with other storage and indexing technologies such as Redis, MongoDB, Solr, etc. 
• Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies. 
• Use the command line like a pro. Be proficient in Git and other essential software development tools. 
• Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc will help. 
• Working knowledge linux server administration as well as the AWS ecosystem is desirable. 
• 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. 

• 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. 

• 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.

• 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 vibrance to the team. Push the envelope. 

• 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. 

• 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. 

• 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.

• 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. 

• 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. 

• 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.

• 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.