AWS ML (Data Science ) Contract position
Macropace Technologies
5d ago

AWS ML(Data Science ) Contract position

6 to 10yrs

Notice Period : 15days


Exploratory data analysis and advanced statistical techniques, Hadoop, Spark, Kafka, GCP AWS Services

DataProc, Dataflow, BigQuery, DataFusion VMs, Kubernetes, Python, Spark, TensorFlow, Keras, SQL, or other data-extraction and analysis tools, Experience with relational SQL and NoSQL databases A Data Scientist is responsible for the execution of Data Science solutions in chosen domains in a manner that creates value for our customers, people and business community t through innovative solutions incorporating the latest developments in the Data Science world.

Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems.

The Data Scientist also n needs to lead the team, come up with innovative solutions to the Business problem statements. JOB RESPONSIBILITIES

Responsible for selecting features, building and optimizing classifiers ML techniques # Data mining using state of the art methods and running algorithms on cloud platforms

Processing, cleansing, and verifying the integrity of data used for analysis

Conduct ad-hoc analysis, present results in a clear manner and deploy models using Azure data bricks etc.

Excellent understanding of ML algorithms such as KNN, Regression, Classification algorithms etc

Experience with common data science toolkits such as R, Numpy, Pandas, Sklearn, Matplotlib, tensorflow SPECIALIZATION As we increasingly harness the power of data, more and m ore decisions are becoming data driven.

We provide analytics solutions that leverage human and artificial intelligence to convert data into actionable insights.

We provide business value of insights, improve time to insight and optimize cost per insight with a design thinking approach, data engineering and automation.

We look for specialists who can help humanize these automated insights through effective content strategies that help deliver targeted results..

Job Requirements : AWS ML, Python, Data Analysis, Data Architecture, Deep Learning Application, Data Processing Design

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