GEP is a leading global provider of consulting, outsourcing and technology solutions to procurement and supply chain organizations at Fortune 500 and Global 2000 enterprises worldwide.
freshers of Bigdata, Data scientist, Computer vision of their skills
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
Location: Bangalore Educational Qualification: BE/B.Tech/M.Tech/MS/PhD or any academic qualification in a quantitative field preferred. Experience: 4+ years, flexible for the right candidate Job Responsibilities: Part of the Research team working continuously to improve ShieldSquare’s bot-human classification engine. Analyze billions of web page visits per month amounting to many terabytes of data and apply state-of-the-art Data Science and ML techniques to derive new patterns. As an area expert in ML, guide and mentor junior team members. Requirements: Excellent quantitative skills and experience in statistics and machine learning Interest in learning and applying the learnings to achieve the objectives. Interest in experimentation and data-driven improvisation Experience in leading/mentoring data scientists/ML engineers/scientists Hands-on knowledge of deep learning Any of the following qualifications are preferred: Knowledge of SQL/Visualization tools/Python: Pandas, Scipy suite Knowledge of Deep learning tools: Tensorflow/Keras/PyTorch/Caffe/Theano/Mxnet etc. Completion of online courses in Data Science/ML domain Participation in Data Science/ML competitions Contribution in open source projects Experience in solving real-world Data Science problems Experience in A/B testing, multi-armed bandits, controlled experiments, reinforcement learning What’s in it for you? Experience in working on billions of newly generated data points per month (many terabytes of data) using cutting-edge Data Science tools. Experience in R&D of real-time bot-human classification engine handling 1000s of request per second Work and learn as part of the cross-functional R&D team (some with PhD) building the industry leading bot-human classification engine Play a high impact role in a setting where data-driven improvements are pushed to production code on a daily basis
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.
Looking for senior data science researchers. Basic Qualifications: ∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas). ∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems. ∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc). ∙Strong working knowledge of deep learning, machine learning, and statistics. - Deep domain understanding of Personalization, Search and Visual. ∙Strong math skills with statistical modelling / machine learning. ∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow. ∙Experience in using Python, statistical/machine learning libs. ∙Ability to think creatively and solve problems. ∙Data presentation skills. Preferred: ∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities. ∙Or, Publications in highly accredited journals (If available, please share links to your published work.). ∙Or, history of scaling ML/Deep learning algorithm at massively large scale.
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Requirements 1. Strong grasp of Mysql & MS Excel. 2. Experience with Dashboard and reporting tools 3. Scripting in python or other languages for analytics, Queries, CRONs and Emails etc.. 4. Experience with MIS and transaction analytics Roles: 1. Deliver periodic analytics and reports 2. Complete adhoc analytics requirements 3. Work with business, operations, product, sales and tech teams 4. provide analytics combined with insights 5. Setup framework for reporting & analytics
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!