“Building technology powered shopping stores of tomorrow, today!”
We at Perpule believe shopping can be nothing less than recreation once seamlessly integrated with technology. Perpule is a mobile application that can be used universally across all our partnered stores. On visiting the partnered outlets customer can get their in-mobile cart populated by scanning the barcodes of the various items they wish to buy. Once done, they can quickly checkout by paying via the mobile app itself, all very seamlessly avoiding queues and any hassles whatsoever.
IN NUTSHELL: Happay is redefining how SME’s control their expenses. We develop products and solutions that render better control, visibility and simplicity in managing all non salary corporate expenses. We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. DATA ANALYST JOB DUTIES Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. RESPONSIBILITIES • Interpret data, analyze results using statistical techniques and provide ongoing reports • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality • Acquire data from primary or secondary data sources and maintain databases/data systems • Identify, analyze, and interpret trends or patterns in complex data sets • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems • Work with management to prioritize business and information needs • Locate and define new process improvement opportunities REQUIREMENTS • Proven working experience as a data analyst or business data analyst • Technical expertise regarding data models, database design development, and segmentation techniques • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (MySql & PostgreSql), programming (R Programming, Python) • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Adept at queries, report writing and presenting findings MUST HAVE QUALITIES: 1. Combines creativity, problem-solving skills, and a can-do attitude to overcome any obstacle 2. Rigorous - asks hard questions, validates assumptions, connects the dots 3. Willing to work for a start-up and go extra mile 4. Willing to work independently with little or no supervision
Utopia Labs is one of the leaders in harnessing Enterprise Data. We now wish to scale and apply machine learning and mathematics to derive a product for industry solutions across domains Hence we are looking for young talent who wish to explore themselves into a play ground wherein complex structured and unstructured data and image is scattered all around while the Machine learning expert applies different algorithms to parse, segment, cleanse, cluster and streamline the data and image and derive a product the way that various industries wish to perceive the data for business related and decision making
data science for analytics Working on various Predictive Analytics, Forecasting, Machine Learning, Text & Image Mining , Statistical Modeling, Social Network Analysis, Advanced Visualizations, Natural Language Processing and Big Data problems. The problems are in multiple domains like banking, financial, insurance, consumer and Internet companies, medical etc.
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Role: DataScientist Location: Bangalore Job description: What will you do ?? • Develop, process, cleanse and enhance data collection procedures from multiple data sources • Conduct & deliver experiments and proof of concepts to validate business ideas and potential value. • Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy. • Work closely with product teams to implement algorithms with R and/or Python. • Design and implement scalable predictive models, classifiers leveraging machine learning, data regression. • Facilitate integration with enterprise applications using APIs to enrich implementations. Ideal Characteristics? • 10+ years of experience in designing/developing industrial IT solutions • Minimum 3 years of experience in developing and deploying machine learning, deep learning, NLP solutions. • Experience with common data science toolkits, such as R, NumPy - Excellence in at least one of these is mandatory. • Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase • Should have good awareness on entire machine learning/ predictive modeling & implementation process: Model design, feature planning, system infrastructure, production setup and monitoring, and release management. • Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc. • Experience in selecting features, building and optimizing classifiers using machine learning techniques. • Prior experience with data visualization tools, such as D3.js, GGplot, etc. • Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc. • Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders. Candidate Philosophy: • Proven Ability to learn and work on latest technology, have good analytical skills and pickup faster. • Should have excellent communication, interpersonal skills and be a team player. • Should have Strong Leadership skills to drive the technical aspects of the project. • Able to act as the technical change agent in the project, mentoring the lesser experienced • Experience in building strong relationship with the Onsite Counterparts
We are looking for Data Scientists who will help us build high-quality prediction and recommendation systems to be integrated with our products. Your primary focus will be to use your quantitative knowledge, programming skills and analytical ingenuity to discover information hidden in vast amounts of data, and help businesses make smarter decisions. Responsibilities: Works to develop analytical/ data mining/ machine learning models using Python, R and other tools Gather, evaluate and document requirements, ability to build an algorithm (statistical/ data mining/ machine learning) based on requirements and specifications provided Works with data and is able to conceptualize and improvise analytical solutions to problems Ability to deploy analytical algorithms within a larger business application Ability to visualize data and results of data analysis & analytical models Requirements: Experience with statistical analysis using R and Python. Experience with Spark, ML and Java as plus Good experience in data discovery, exploration and algorithm development Experience with working on large data sets and developing scalable algorithms Hands-on experience of machine learning and data mining algorithms such as decision trees, classifiers, text mining/ NLP, clustering, and regression Exp in SAS, SPSS is a plus Knowledge of Hadoop and other distributed computing platforms Broad knowledge of data mining, NLP algorithms, machine learning algorithms and other techniques technologies Strong analytical and problem-solving skills If this sounds like something you enjoy, then do apply. We'd love to hear from you!
About Quantiphi: Quantiphi is a category-defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are trans-formative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. For more details, visit: www.quantiphi.com. Job Description: The Decision Science Analyst will lead client-facing engagements aimed at solving clients- most challenging business problems through the use of inspired analytics; the assembly and integration of disparate data sources, application of machine learning methods and impactful interpretation and communication of key insights through intuitive visualization and decision support tools. Desired Profile: • Strong fundamentals in machine learning, general statistics and data science principles • 1-4 years of experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief, Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering • Experience in any of these applications: Collaborative Filtering, Personalization, Consumer Segmentation, Text Analytics, Information Retrieval, Search Relevance • Experience in implementing Deep Learning problems (Computer Vision, NLP etc.) from scratch [with Github codes exposed]. • Solid data management and statistical modeling skills: R, Mahout, Matlab, Python (Tensorflow, SciPy, NumPy), SQL and Excel • Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in a succinct manner • Critical eye for the quality of data and strong desire to get it right • Ability to work in a fast-paced and deadline driven environment • Strong work ethics like sense of collaboration and ownership, result from orientation, being team player candidate should be comfortable with working with clients office Qualifications: • BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IIIT/REC) in Computer Science/Statistics/IT/ECE stream • MS or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent • Projects/Courses/relevant work experience in Data Science Required What’s in it for you? • The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. • The experience of working in a category defining high growth startup in the transformational AI domain. • The opportunity to work for the most challenging problems in the most exciting domain like speech, Computer Vision, NLP and RL. • An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hours.
The Decision Science Analyst will work on translating deep learning research into business solutions while implementing cutting-edge deep learning algorithms on latest Machine Learning platforms. The ideal candidate should have: •Hands-on experience with statistical tools and techniques •Expert level coding experience in Python •Good exposure to Deep learning libraries like Tensorflow, PyTorch etc. •Experience in implementing Deep Learning problems (Computer Vision, NLP etc.) from scratch [with Github codes exposed]. •Should be able to read a paper and pick ideas to quickly implement/augment the current solution in the most comfortable Deep Learning library. •Excellent communication skills What’s in it for you? •The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. •The experience of working in a category-defining high growth startup in the transformational AI domain. •The opportunity to work for the most challenging problems in the most exciting domain like speech, Computer Vision, NLP and RL. •An ergonomic and beautiful working space in the heart of Mumbai.
• Hands-on experience as a Data Scientist • Through understanding of Machine Learning and Statistical models • Experience in R and Python • Experience in one or more areas of predictive modelling, text mining, time series analysis and unsupervised learning methods • Innovative thinking in building complex learning models • Identify and extract interesting pattern from structured and unstructured data. • Experience in building state of the art solutions with structured, semi structured and unstructured data. • Collaborate with a cross-functional team including data scientists, business analysts and software engineers. • Experience with machine learning frameworks e.g., Theano, KERAS,Tensorflow • Additional programming skills like Java and Scala would be a plus.
Should be experienced in building Machine learning pipelines. Should be proficient in Python and scientific packages like pandas, numpy, scikit, matplotlib, etc. Experience with techniques such as Data mining, Distributed Computing, Applied Mathematics and Algorthims, Probablity & statistics, Strong problem solving and conceptual thinking abilities Hands on experience in Model building Building highly customized and optimized data pipelines integrating third party API’s and inhouse data sources. Extracting features from text data using tools like Scapy Deep learning for NLP using any modern framework