Junior Data Scientist

3 weeks ago

Delhi, India Infinit-O Full time
Job DescriptionThis is a remote position.Job Overview

We are looking for a Data Scientist who will support our Digital Transformation initiatives with insights gained from analyzing company data.

The right candidate will have a passion for delivering business intelligence and discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

The ideal candidate is adept at extracting, cleaning, sorting and using large data sets to find opportunities for product and process optimization and using models to test and predict outcomes. Having experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations is a plus.

Responsibilities for Junior Data Scientist

Extract, clean and load data to the Data Warehouse for use in the Business Intelligence and Data Science tools

Mine, analyze, report and model data from the company data lake and warehouse

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Requirements

Strong problem solving skills with an emphasis on product development.

Experience using statistical computer languages (R, Python,, etc.) to manipulate data and draw insights from large data sets.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

A drive to learn and master new technologies and techniques.

Experience working with and creating data architectures.

Excellent written and verbal communication skills for coordinating across teams.

BA/BS (M.S. or Ph.D. is a plus) in statistics, computer science, social sciences, or another quantitative subject area (such as physics, computational biology, sociology, cognitive science, political science, etc.) is a plus

We’re looking for someone familiar with / having the potential to learn the following software/tools:

Coding knowledge and experience with programming in python or comparable languages.

Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

Experience using web services: Redshift, S3, Spark, etc

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

RequirementsStrong problem solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python,, etc.) to manipulate data and draw insights from large data sets. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. A drive to learn and master new technologies and techniques. Experience working with and creating data architectures. Excellent written and verbal communication skills for coordinating across teams. BA/BS (M.S. or Ph.D. is a plus) in statistics, computer science, social sciences, or another quantitative subject area (such as physics, computational biology, sociology, cognitive science, political science, etc.) is a plus We’re looking for someone familiar with / having the potential to learn the following software/tools: Coding knowledge and experience with programming in python or comparable languages. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, etc Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

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