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Job Location | Hyderabad |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | General / Other Software |
EmploymentType | Full-time |
Machint is hiring a Data Scientist or Senior resource with extensive AI / ML skillsJob Overview:- We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data.- 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 coursesof 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:- 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 analyze model performance and data accuracy.Qualifications:- 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 or PHD 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, SLQ, 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.,
Keyskills :
social network analysisartificial neural networksdata miningtext miningdata modelsad targetingdecision treesproblem solvingneural networksbusiness objectscomputer scienceab testing