Data Scientist at Reqroots Private Ltd

Data Scientist

Reqroots Private Ltd

We are looking Data Scientist for Reputed Client @ Permanent Role

Experience: 2 – 10 Yrs

Responsibilities:

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

• 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.

• Coordinate with different functional teams to implement models and monitor outcomes.

• Develop processes and tools to monitor and analyse model performance and data accuracy.

Qualifications:

• Strong problem-solving skills with an… emphasis on product development.

• Experience using statistical computer languages (R, Python, SQL, 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:

• Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.

• 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 using web services: Redshift, S3, Spark, DigitalOcean, 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.

If you are suitable and interested, send your CV to [email protected]