Big Data and Predictive Analytics
 

Careers

We are always on the lookout for people with a demonstrated record of creativity, adaptability, and a proclivity for things that are quantitative. While it is desirable for prospective Gauge team members to possess a versatile skill set, what is even more important to us is the ability to quickly acquire new skills on the fly as needed. We value teamwork, as solving data intensive real world problems--our mission at Guage-- is best accomplished through collaborative efforts.

  • Data Scientist

  • Primary role

    Staying abreast with the latest techniques and algorithms used in data analytics and overseeing their adoption by delivery teams. Leading in house efforts in researching newer and novel analytics methodologies. Expected to be actively involved in all stages of solution delivery to the client.

    Secondary role

    Mentoring junior staff.

    Basic skills

    An expert in any two or more of the following; Machine learning, Operations research, Agent based modeling, game theory, statistics or similar methodologies.

    A strong experience with at least one of the following; R, Matlab, SAS, SPSS or similar packages.

    A basic knowledge of one of the following; Python, C/C++, Java.

    Preferred skills

    Experience with analyzing actual business data.

    Domain knowledge of industry verticals (such as healthcare, telecom etc.)

    Education

    PhD or MS (with peer reviewed publications) in a quantitative field, such as Physics, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, etc.

  • Analytics Manager

  • Primary role

    Responsible for overseeing all processes related to analysis and insight extraction from client data. These range from data preprocessing to determining suitable modeling approaches and data quality, data cleansing, platform selection etc., to experimenting with choice of algorithm as well as determining the robustness and performance of gleaned patterns and predictions. You will also work closely with both in house and client site domain experts in assessing business implications of the insights gained.

    Secondary role

    Mentoring junior staff

    Basic skills

    An operational understanding of various analytics algorithms borrowed from fields such as machine learning, statistics, operations research or similar.

    Hands on experience with using packages such as R, SPSS, SAS in the analysis of datasets

    Preferred skills

    Knowledge of HDFS, Hadoop, Mapreduce, pig/hive.

    Familiarity with amazon EC2 and other cloud computing environments..

    Domain knowledge of industry verticals (such as healthcare, telecom etc.)

    Education

    BTech/MTech/MS/PhD or equivalent in a quantitative discipline such as Mathematics. Physics, Machine learning, Statistics, Engineering etc.

  • Engineer Big Data

  • Primary role

    Overseeing the setting up and maintenance of data ingestion and analytics infrastructure for our clients.

    Basic Skills

    Experience with Hadoop, HDFS, storm and other related technologies.

    Experience with Mapreduce, pig/hive

    Experience with relational databases MySQL, SQL.

    Experience with noSQL databases including MongoDB, Cassandra

    Experience with graphical databases

    Experience using the amazon cloud infrastructure for big data processing

    Strong background in UNIX

    Well versed in the use of Java, python, C/C++

    Preferred skills

    Some knowledge of statistics and analytics techniques.

    Knowledge of industry verticals

    Familiarity with Agile/scrum development methodologies

    Education

    BTech/BS or higher in Computer Science or related discipline.

  • Juinor Data Analyst

  • Primary role

    As a junior data analyst you will contribute to various processes involved in gleaning knowledge from data. These include data pre-processing, quality determination, cleaning, selecting analytical tools, pattern extraction, predictive modeling, visualization, presentation and report preparation, client interaction.

    Basic skills

    Good quantitative aptitude

    Some knowledge of basic statistics, machine learning, optimization techniques

    Exposure to packages such as R, Matlab, SAS, SPSS

    Preferred skills

    Grasp of Python, Java , C/C++

    Good communicator both written and oral.

    Education

    BTech/BS/MSc/MTech or equivalent in a quantitative field such as Physics, Mathematics, Machine Learning, Engineering, Econometrics etc.