Data Analyst - Big Data/Python Jobs in Noida - VideoTap

Job Description :- 

We are looking for an experienced Data Scientist who would work on data analytics and big data.

Candidate should be good in Business acumen, user insights, analytics & statistical skills, machine learning skills, programming skills, data visualization and more- Our Data Analytics capture fragment level interactions of the video. He/she should understand the difference between basic and advanced analytics techniques and when each should be used.

Apply deep learning capability to improve understanding of user behavior and data.

He/she will be working on bringing together different data sets from across enterprise platforms and model data to unlock & predict actionable insights and help customers formulate and answer various business questions.

Develop highly scalable and extensible Big Data platform which enable the collection, storage, modeling, and analysis of massive data sets.

Need structuring the data in the right manner, mining it, making relevant assumptions, building correlation models, and searching the data for signs of anything that can deliver better results.

Job Requirements :-

Apply statistical and machine learning techniques to solve business problems-

Perform architecture design, data modeling and implementation of Big Data platform and analytic applications for VideoTap's clients-

Knowledge of machine learning, big data ecosystem, data modeling, database design, data mining, data warehousing, data search indexing, predictive modeling, business intelligence, big data analytics, micro-service design/ orchestration, and optimization.-

Architect, implement and test data processing pipelines (e.g. Hadoop and Spark) and data mining/data science algorithms on a variety of hosted settings, such as Cloud (AWS, Azure)-

Create, design and maintain reusable datasets with appropriate architecture to deal with high level of data input complexity.-

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.-

Transform data and generate predictive variables from both internal and external data sources-

Candidates with expertise in the implementation of machine learning algorithms are also required for the project. She or he should be well versed with various classification approaches and algorithms.Technical Requirements :-

Experience with Hadoop, Spark or similar technologies-

Broad Knowledge of analytical tools/modeling languages, especially Python, R, Matlab, Tableau, SAS, SPSS,

Celect, DataRobot, and Netica.

Solid experience and proven track record with developing & deploying deep learning algorithms including CNNs, RNNs, LSTM and others-

Knowledge/Experience with handling databases, especially with SQL. This may include basic Excel/CSV files as well as more advanced query languages such as SQL, Oracle.-

Experience with basic predictive analysis and forecasting (regressions). Python

Frame Work, Tensorflow or theano, Scikit Learn with developing on Linux OS-

Hands on expertise in Machine Learning, Neural Networks, data science, applied mathematics

Develop and design algorithms and frameworks in terms of API to leverage this data.Additional Skillset :-

Object-Oriented Programming is a must-

Good Knowledge of database can be an added advantage.-

Organized, self-motivated, results-orientated, and resourceful-

Familiarity with Microsoft Excel-

Experience in a start-up environment desirable