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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 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 (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. - Opportunity to define and build new products; opportunity to productize our innovative AI/ML capabilities. - Ability to see the impact of your work and the value you are adding to our customers almost immediately. - A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours. - Learning opportunities with courses, trainings, and tech and product conferences. Mentorship from seniors in the team. - Last but not the least, competitive salary packages and fast paced growth opportunities. Role and Responsibilities - You will be responsible for the overall success of our products. You will work closely with the VP of Products, the CEO to develop a vision, strategy, and road map for the product. - You will work with the tech leadership across products, data science, and engineering to identify productization opportunities. - Detail out market requirements for current and future products by conducting market research supported by inputs from customer success and sales teams and on-going discussions with customers. - Develop and implement a company-wide go-to-market plan; work with multiple functions to execute it. - Work closely with engineering, design, and data science teams to deliver products that our customers love. - Manage the entire product life cycle from planning to execution: prioritization, release cycles, quality and timeliness of delivery, customer engagement, and feedback. - Clearly identify the value proposition of the product and all its features to help our sales and CSM teams. - Take ownership of product messaging. Collaborate with marketing on product and customer marketing, mapping competitor landscape, help in developing product related content, create collaterals. - Help in sales enablement. Be part of sales calls. Work with customer success team post sales to engage with our customers. - Work with our customers to understand their pain points, be their champion internally, prioritize requirements that create impact. - Manage expectations across teams. Ensure our work is always aligned with our product strategy even as we build stuff at a rapid pace. - Balance new feature building with stabilizing our existing products and giving the best product support. Identify automation opportunities aggressively. Define processes for product support. - Engage with tech teams. Bring in/evolve best practices. Align the team towards common objectives. - Collaborate with the data science team to: productize proven capabilities, and identify new product opportunities. Skills and Requirements - More than 5 years of product management experience including experience building and shipping data products. Experience with product marketing is a desirable. - This is a technical product management role. Therefore, a solid engineering background with hands on experience in software design and development is highly desirable. - Experience working with large scale data/analytics systems is a bonus. Awareness of developments in the field of AI and ML is a bonus. - Ability to think from first principles; ability to think at the right level of abstraction; strong problem solving skills (both technical and non-technical). - Excellent written and verbal communication skills. Ability to tell a compelling product story and rally the team around you to realize it. - Excellent teamwork skills, ability to engage, motivate, and drive cross-functional teams - Naturally curious, passionate. Have a strong business/customer focus. Can make strategies to win. - Experience working with and leading tech teams. Experience building and scaling product teams.
Job Description We're looking for a capable person to lead our efforts in Backend Architecture, QA and DevOps Full Stack Developer - Backend Apps, DevOps, Analytics & Web Apps JAVA, MySQL, Memcache, Google Cloud Platform (AppEngine, Datastore, BigQuery), Git, CI tools, JS What will you work on? • Build and manage REST API stack for Perpule Mobile Apps • Data analytics, User Analytics & App Analytics • Build Web Applications & Dashboards • Data Security • DBMS & Scaling What are we looking for in you? • Have 4+ yrs of experience with building backend applications , Web Apps & Analytics • Experience in deploying applications at scale in production systems • Test driven application development Experience • Experience in building and managing API end points for multimodal clients. • Strong grasp of Backend Architectures and applications. • Enthusiasm to learn and contribute in a challenging & fun-filled startup • Knack for problem solving and follow efficient coding practices
About UpGrad : About us: UpGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. UpGrad currently offers programs in Data Analytics, Product Management, Digital Marketing, and Entrepreneurship, and was rated as one of the top 10 most innovative companies in India for 2017 - https://www.fastcompany.com/most-innovative-companies/2017/sectors/india . We plan to launch 6 more programs in technology and management education. UpGrad is co-founded by 3 IITD alumni, and the 4th co-founder is serial entrepreneur Ronnie Screwvala. UpGrad has a committed capital of 100Cr and in the first year of operations, has built the largest revenue generating online program in India (PG Diploma in Data Analytics) and the largest enrolment online program in India (Startup India learning program). UpGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. Position : Senior Data Scientist Position Type : Full Time Location : Mumbai Job Description: Are you excited by the challenge and the opportunity of applying data-science and data-analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education? If this is you, come join us and become a part of the UpGrad technology team. At UpGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to our marketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired career outcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand. We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment. Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Basic Qualifications: 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Preferred Qualifications: Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science techniques
