Data Scientist

TEQNIrvana

5 - 10 Years
3 Openings
Not Disclosed
Hyderabad
Face-to-Face interview

Key Skills

Neural Networks Machine Learning Python Development Algorithms Data Analytics Data Visualization Data Scientist

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Job Description

Qualifications for Data Engineer_scientist

• 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.

• we’re Looking for Someone with 5-7 Years of Experience Manipulating Data Sets and Building Statistical Models, Has a Master’s in Statistics, Mathematics, Computer Science or Another Quantitative Field, and is Familiar with the Following Software/tools:

o coding Knowledge and Experience with Several Languages: C, C++, Java,

o javascript, Etc.

o knowledge and Experience in Statistical and Data Mining Techniques: Glm/regression, Random Forest, Boosting, Trees, Text Mining, Social Network Analysis, Etc.

o experience Querying Databases and Using Statistical Computer Languages: R, Python, Slq, Etc.

o experience Using Web Services: Redshift, S3, Spark, Etc.

o experience Creating and Using Advanced Machine Learning Algorithms and Statistics: Regression, Simulation, Scenario Analysis, Modeling, Clustering, Decision Trees, Neural Networks, Etc.

o experience Analyzing Data from 3rd Party Providers: Google Analytics, Crimson Hexagon, Facebook Insights, Etc.

o experience Visualizing/presenting Data for Stakeholders Using Different Tools.

o working Knowledge of Message Queuing (kafka or Google Pub/sub), Stream Processing, and Highly Scalable Data Stores.