Developer Analyst-II

Job Description

Data ScientistWe are looking for a Data Scientist who will support our AI and Data Sciences product team. 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. They must have strong 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. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.Responsibilities for Data Scientist

• Work with product team members in an agile environment to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data to drive optimization and improvement of product development.
• 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 analyze model performance and data accuracy.
• Support enterprise products for all AI and ML methods to attain optimal accuracy and precision levels
• Define requirements for new enterprise statistical solutions and hand off requirements documents to data engineers and data architect for the team to deliver.
• Develop automated statistical models built for scaled deployment.

Qualifications for Data Scientist

• 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.
• Experience working with Azure and Azure Machine Learning Services
• 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, 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: PowerBI, Tableau, Periscope, Business Objects, D3, ggplot, etc.

Education: We re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:Preferred Skills:- Payroll technical and functional knowledge-Django AI-Tensorflow-Database exposure- Query Tuning Ability- SQL Procedure Development,-Polybase Queries- Microsoft DAX- Hadoop, MapReduce, Spark andor other distributed processing tool skills- Ability to adapt and communicate in a changing environment,

Keyskills :
sqlsql serverjavainsurancereportingsocial network analysisartificial neural networksdata miningtext miningdata modelsquery tuningad targetingdecision treesab testing