What you will do:As a Data Science Lead, you will be working on creating industry first analytical and propensity models tohelp discover the information hidden in vast amounts of data, and make smarter decisions to delivereven better customer experience. Your primary focus will be in applying data mining techniques, doingstatistical analysis, and building high quality prediction systems integrated with our products.➢ Working with business and leadership teams to gathering and analyse structured and unstructured data➢ Data mining using state-of-the-art methods➢ Enhancing data collection procedures to include information that is relevant for building analyticsystems➢ Processing, cleansing, and verifying the integrity of data used for analysis➢ Doing ad-hoc analysis and presenting results in a clear manner➢ Creating automated anomaly detection systems and constant tracking of its performance➢ Creation and evolution of an efficient BI pipeline into a multi-faceted pipeline to support variousmodelling needs.What we are looking for:➢ 5-8 years of relevant experience, preferably in financial services industry.➢ A bachelors / master’s degree in the field of Statistics, Mathematics, Computer Science orManagement from Tier 1 Institutes.➢ Data warehousing experience will be a plus.➢ Good conceptual understanding of statistics and probability.➢ Experience in developing dashboards and reports using BI tools.
3+years design/programming experience AWS, Azure, or comparable cloud computing experience C++ Relational DB experience Comfort with Agile software development process and a startup environment Exposure to machine learning and familiarity with Python or a JVM language RESTful API Microservices
Job Description We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Skills and Qualifications Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable Great communication skills Experience with data visualisation tools, such as D3.js, GGplot, etc. Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills Data-oriented personality
Must be willing to relocate to Chandigarh/Mohali, in our state-of-the-art office in Quark City in Mohali. We're looking for a data engineer. Responsibilities include: building out infrastructure and implementing end-to-end data flows from ingest, to data transformation, machine learning for client-side applications.• Must have Java/J2EE, Spring, Micro services, Python (Hands On) • Must have integration expert Hadoop Eco Systems and ML Expert • Knowledge of Spark, Accumulo, HDFS, YARN, MapReduce, Kafka is necessary. As a data engineer, you may have experience spanning traditional DW and ETL architectures. But for this role it is important to have industry experience working with big data ecosystems like Spark/Hadoop and Redshift. You've probably been in the industry as an engineer for 2+ years and have developed a passion for the data that drives businesses. On your first day, we'll expect you to have: • Deep understanding of big data challenges and eco-system • Experience with solution building and architecting with public cloud offerings such as Amazon Web Services, Redshift, S3, EMR/Spark, Presto/Athena • Experience with Spark and Hive • Expertise in SQL, SQL tuning, schema design, Python and ETL processes • Expertise in data pipeline with such workflow tools as Airflow, Oozie or Luigi • Solid understanding experience in building RESTful APIs and microservices, e.g. with Flask • Experience in test automation and ensuring data quality across multiple datasets used for analytical purposes • Experience with Lambda Architecture or other Big Data architectural best practices • A graduate degree in Computer Science or similar discipline • Commit code to open source projects • Experience with test automation and continuous delivery It's great, but not required, if you have: • Experience with Tableau • Experience with Machine Learning • Have worked with Data Scientists
Tradeindia is looking for Machine Learning Engineers to join its engineering team. The ideal candidate will have industry experience working on a recommendation engine, a range of classification and optimization problems e.g.: Collaborative filtering/recommendation User journey prediction Search ranking Text/ sentiment classification or spam detection Predictive analytics The position will involve taking Algorithm and Programming skills and applying them to some of the most exciting and massive SMEs user data. Qualification: M.tech, B.tech, M.C.A. Location: New Delhi About the company: Launched in the year 1996 to offer the Indian Business community a platform to promote themselves globally tradeindia.com has created a niche as India's largest B2B marketplace, offering comprehensive business solutions to the Domestic and Global Business Community through its wide array of online services, directory services and facilitation of trade promotional events. Our portal is an ideal forum for buyers and sellers across the globe to interact and conduct business smoothly and effectively. With an unmatched expertize in data acquisition and online promotion, Tradeindia subsumes a huge number of company profiles and product catalogs under 2,256 different product categories and sub-categories. It is well promoted on all major search engines and receives an average of 20.5 million hits per month. Tradeindia is maintained and promoted by INFOCOM NETWORK LTD. Today we have reached a database of 47,66,674 registered users (Jan 2019), and the company is growing on a titanic scale with a considerable amount of new users joining/registering everyday, under the innovative vision and guidance of Mr. Bikky Khosla, CEO.
•Analytics, Big Data, Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms Share CV to me at