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
The duration of this internship is 1month.
Responsible for gathering, analyzing, and documenting business requirements for internal customers. Ensure business solutions align with requirements and strategic goals. Design, document, test and leverage business solutions. Assist in defining and planning departmental project roadmaps. Partner with Business, PMO, IT teams and manage prioritization and delivery of services for an application module or subject area. Develops process documentation for processes and procedures Partner with internal business teams in developing delivery roadmaps, defining business processes and associated system requirements. Organize and manage project work to drive predictable delivery. Participate in system implementation projects (requirements documentation, systems configuration, test documentation/execution, issue identification and resolution). Support and upgrade implemented systems. Architect innovative solutions to automate and scale business systems. Assist with researching, reviewing, and analyzing the effectiveness and efficiency of existing business processes and develop strategies for enhancing or further leveraging these processes. Identify and employ appropriate techniques for business analysis and elicitation activities. Elicit requirements via various techniques and prioritize and analyze the resulting requirements. Partner with IT personnel to assess and validate existing and resulting solutions to ensure quality of system and business needs are met. Act as a liaison with the Business and Corporate IT department to ensure optimal performance of the solution. Serve as Tier 1 escalation point for Business team providing expert level support for assigned business units. Develop process diagrams, use cases, and test plans. Perform system testing; facilitate user acceptance testing and application demonstrations. Perform other tasks as needed in order to deliver successful solution. Significant understanding of Business Analysis Body of Knowledge. Analyze and develop solutions to meet customer business needs across the SAP landscape. Perform systems analysis. Test programs, systems and interfaces. Develop unit test plans to ensure complete functionality. Maintain detailed documentation of project files. Desired Skills: 6+ years of experience in integrating SAP - custom built solutions. Experience participating in SAP full-system implementation life-cycles (analyze, design, build, test, implement, support). Subject matter and best practices expert in SAP ECC. Good understanding of SAP production planning, MRP, ATP, AOP. Good understanding of SAP Materials management, inventory control, procurement, SCM, SD, PP , PS, etc FICO knowledge is appreciated. Ability to design, implement, test and maintain subsystems of moderate-to-high complexity. Successful track record in working on cross-functional, cross-team projects. Ability to deal with ambiguity and thrive in a rapidly changing business environment. Excellent interpersonal and communication skills; strong analytical skills and a demonstrable bias toward action. Identifies key barriers/core problems and applies problem solving skills in order to deal creatively with complex situations. Troubleshoots and resolves complex problems. Makes decisions under conditions of uncertainty, sometimes with incomplete information, that produce effective end results. Independently performs assignments with instruction limited to results expected. Determines and develops approach to solutions. Receives technical guidance only on unusual or complex problems or issues. May oversee the completion of projects and assignments, including planning, assigning, monitoring and reviewing progress and accuracy of work, evaluating results, etc. Able to work in a fast-paced environment and manage multiple competing tasks/demands.
• Community Management • Work closely with Brand and Digital Managers - marketing to develop, own and execute community strategy • Assist with editorial calendars, drive the ideas and concepts of engagement, and set the overall tone and direction of the community • Manage, publish content and monitor the customer relationship, community, and conversation on Facebook, Twitter, Pinterest, Instagram, Vine, Tumblr, SnapChat, Google+, Blogs, owned/on-site communities…. and more • Assist with seasonal and perennial moderation of user generated content • Listen and moderate brand mentions and sentiment across public and owned communities and conversations • Work closely with the Corporate Customer Relations Team to resolve customer service issues • Escalate issues which need attention across internal departments • Write copy consistent with the Brand voice to be used on all channels, solicit assistance from Brand copywriters as needed • Work closely with Graphic Designer on social specific imagery for various messaging and seasonal needs • Communicate content schedule each week to cross functional partners • Ensure proper tagging and tracking of all links with analytics tools • Partner with team to build authentic relationships with influencers and bloggers • Collaborate with the cross-functional teams to integrate brand into other marketing channel • Work closely with Analytics department on weekly, monthly, quarterly reporting to analyze trends, sales,traffic and growth • Research and monitor competitors presence in the social space and compile weekly reporting on most engaging content • Measure and report on business impact and customer sentiment for each social promotion and event • Communicate weekly with internal business partners on the status of social media initiatives • Provide regular qualitative and quantitative reporting on community feedback, broader conversation, and brand sentiment. • Maintain listening tools and monitoring/analytics software