Data Analyst- Biglittle.ai

at Codejudge

Data Analyst- Biglittle.ai

Codejudge

Company

Home

Data Analyst- Biglittle.ai

at Codejudge

Posted by Vaishnavi M

3 - 7 yrs

₹20L - ₹25L / yr

Bengaluru (Bangalore)

Skills

SQL

Python

Data architecture

Data mining

Data Analytics

Job description

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A/B testing framework and test model quality.
Develop processes and tools to monitor and analyze model performance and data accuracy.

Roles & Responsibilities

Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
Has a Bachelor's, Master's in Computer Science or another quantitative field
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, SQL, 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, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Job description

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A/B testing framework and test model quality.
Develop processes and tools to monitor and analyze model performance and data accuracy.

Roles & Responsibilities

Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
Has a Bachelor's, Master's in Computer Science or another quantitative field
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, SQL, 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, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

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About Codejudge

Founded :

2019

Type :

Product

Size :

20-100

Stage :

Raised funding

About

We help developers find great companies to work at. Candidates pre-screened by us are fast tracked for onsite interviews at top tech companies

Vaishnavi M

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