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
Hi, looking for a Part-time trainer for Data Science,Hadoop etc at our New Marathahalli Brach, Bangalore. Experience: 1. Good domain knowledge on data science with min 3-4 yrs 2. Good knowledge on Hadoop, Statistics, R Programming,SQL,Python,Machine Learning,Deep Learning,NLP, Tensorflow etc 3. Able to take CLASSROOM or ONLINE Daily/weekend classes at Marathahalli Branch, Bangalore. 4. Need to handle 2-3 Batches per month (Incl Online & Classroom) A chance to earn around 50,000 to 2,00,000 permonth by working as a part-timer for us. Thanks
Looking for smart people to join my team.
Core Job Responsibilities: - Build, Tune and Optimize Machine Learning models on Google Cloud Platform - Work with large/complex datasets to solve challeging and non-routine analysis problems, applying advanced analytical methods and techniques. - Build and prototype data pipelines for analysis at scale. - Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. - Make recommendations for selections on machine learning models. - Drive accuracy levels to the next stage of the given ML models. Minimum qualifications: - 2 to 5 years of relevant work experience in Machine Learning and Advanced Analytics (e.g., as a Machine Learning Specialist / Data scientist ). - Strong experience using artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. - Good in Python/Nodejs programming. - Good understanding of Cloud platforms like GCP, AWS, or Azure. Must Have skills : -Work experience in building data pipelines to ingest, cleanse and transform data. - Experience of working in Manufacturing, Retail, Hi-Tech or Healthcare industry. - Applied experience with machine learning on large datasets. - Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. - Demonstrated skills in selecting the right statistical tools given a data analysis problem. - Demonstrated effective written and verbal communication skills. - Demonstrated willingness to both teach others and learn new techniques.
Roles and Responsibilities Partner with Product and Operation teams to solve problems and identify trends and opportunities • Should have capability to build quick prototypes of decision support tools working with business operations and Psychologists • Define and execute the product roadmap • Develop and implement database, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products • Maintain existing infrastructure and proactively look for bugs and issues Additional Requirements: • Ability to work on their own given a directive, including working on finding solutions to problems they may encounter (encouraged to bounce ideas and problems off the team but does not need to be guided through the process) • Technical knowledge of building web applications, big data architecture • Good documentation habit • Ability to leverage emerging technologies and identify efficient and meaningful ways to disseminate data and analysis in order to satisfy the business' needs • Strong written and oral communication skills • Excellent organizational and communication skills • Take initiative to ensure the work is completed on time • Support the team during fast paced expansion • Take ownership and apply creative solutions to modern day problems • Work with the development Sales, support and Marketing teams to build and enhance existing products Key Attributes: • Self-motivated, self-directing and a good communicator. A passion for performance, debugging and benchmarking • Self-starter who goes above and beyond the expected requirements of the role • Be flexible and be comfortable in a fast-paced, sometimes ambiguous environment with frequently changing business needs • Work well under pressure, be able to prioritize to meet deadlines and quickly shift priorities as necessary • Positive and optimistic attitude are necessary
This profile will be majorly focused on risk analytics, with some focus on collections/ marketing analytics. The analyst will get to work on different data sources to extract meaningful information and develop credit scoring strategies/models to be used for lending. The range of work will cover handling large quantities of data (breadth and depth), exploring new data sources to find relevant information, constructing different variables and uncovering meaningful relationship with lending risks, as well as building scoring models for credit and collections and building relevant reports/dashboards. Requirements: 1. Technology / Engineering / Statistics background (Tier - I / Tier- II institutes preferably) with exposure to machine learning algorithms, python/ R or other analytics tools 2. Previous experience in risk divisions of banks / NBFCs will be a plus