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predera | Jobs | Data Scientist | BigDataKB.com | 02-04-22

Job Location: Hyderābād

FULL TIME | PREDERA TECHNOLOGIES | INDIA

Posted On 21/02/2022

Job Information

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United States...

Industry

Technology

Work Experience

2-4 years

City

Hyderabad

State/Province

Telangana

Zip/Postal Code

500033

Job Description

Predera Technologies is a US based startup which is building AI based big data solutions for Healthcare, Finance and Retail clients. We are looking for a great Data Scientists who are eager to wrangle data in creative ways to build machine learning models.

  • Developing statistical or machine-learning approaches to problems at scale.
  • Building tools, systems, and pipelines to make data signals available to client processes.
  • Taking responsibility for turning data into understanding by being active, educational, and supportive of every conversation about data.
  • Working on batch model and real-time Big Data pipelines; Hadoop and Spark (including streaming)

Requirements

  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Coding knowledge and experience with several languages: Python, R, Java
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, etc.
  • Experience visualizing/presenting data for stakeholders using: D3, ggplot, tableau etc.

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