Job Location: Noida
Requirements-
– B. Tech/Masters in Mathematics, Statistics, Computer Science or another quantitative field
– 2-3+ years of work experience in ML domain ( 2-5 years experience )
– Hands-on coding experience in Python
– Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP
– Working knowledge of Tensor flowPy Torch
Optional Add-ons :
– Experience with distributed computing frameworks: MapReduce, Hadoop, Spark etc.
– Experience with databases: MongoDB
– Data scientists utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. They then use this information to develop data-driven solutions to difficult business challenges.
– Data scientists commonly have a bachelor’s degree in statistics, math, computer science, or economics. Data scientists have a wide range of technical competencies including: statistics and machine learning, coding languages, databases, machine learning, and reporting technologies.
Responsibilities for Data Scientist :
– 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 AB 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 for Data Scientist :
– 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 advantagesdrawbacks.
– 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 softwaretools :
– Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
– Knowledge and experience in statistical and data mining techniques: GLMRegression, 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 datacomputing tools: MapReduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
– Experience visualizingpresenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
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