About UsupGrad 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 Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship etc.
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.
upGrad was awarded the Best Tech for Education by IAMAI for 2018-19upGrad was also ranked as one of the LinkedIn Top Startups 2018 : The 25 most sought-after startups in IndiaupGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany.
We were also covered by the Financial Times along with other disruptors in Ed-TechupGrad is the official education partner for Government of India - Startup India program too Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning Job DescriptionWe're looking for a hands-on technical leader to head the Data Science and Data Engineering vertical within the Technology team who can work alongside Business stakeholders & Product managers to drive the creation of data-driven products / platforms.
Responsibilities : Ownership of end-to-end initiatives across all products and services in upGrad in the data domain - data engineering, data science, and product analyticsLead, mentor and guide our team of Data Analysts, Data-Engineers and Data ScientistsEstablishment and execution of the tech data roadmap balancing short term and long term needs to ensure that the architecture can scale and evolveData Engineering would entail envisioning and extending our Redshift data-warehouseArchitecting robust data-ingestion pipelines from internal and external sourcesDomain schema creation and democratizing data for all stakeholdersMonitoring and Administration of all data services and tech that goes with itMentoring and guiding our data-engineers to execute on these initiativesData Science would entail ideating, development and delivery of data-science backed products and services across entire upGrad domain - Learn, Career, Sales and MarketingUnderstanding the business domain and ideating / brainstorming potential data-science solutionsCollaborating with Product & business stakeholders on feasibility, impact, execution, delivery as well as adoptionHands-on architecting, reviewing and mentoring the data-science team to execute on these projects / initiatives both on data and tech side and deploy them into the Production environmentData Analytics would entail envisioning and supporting all product analytics initiatives.
Ease of access of the right data-points and visualizations to enable teams to make strong data-backed decisions at all aspects in upGradGuiding / Mentoring our data analysts on approach and data sources available for delivering on the analytics requiredUnderstanding all the nitty-gritty of the Product and end-to-end user delivery to able to deliver holistic analyticsCollaborating with product and business stakeholders to make sure their data needs are fulfilled as per the need and feasibilityOwning the administration of the various data-analytics tools and services.
Overall would be a data evangelist who is constantly pushing the team to collect, organize, share and utilize data in meaningful ways to better the product and it s services.
At it s core who is serious about data integrity, data security as well as ethical sourcing / utilization of data Qualifications : A suitable candidate in this position will be a strategic / innovative thinker who is proactive and self-drives requires minimal supervision and is able to build a strong data-focused team.
A Tech Data expert, goto person for all things data, software and technology.6+ years of experience in leading and building strong data-powered products and servicesMaster s or higher education in the field of Stats, Data, Computer Science preferredHands-on experience in building data-warehouse, ETL pipelines from scratch and supporting those in Production Environments.
alongside being organized and calm when while dealing with a lot of uncertainties and unknownsExcellent interpersonal and communication skills Skills : - Data Science, Python, MySQL, Machine Learning (ML) and Deep Learning