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Senior Software Engineer - Data Science @ LogiNext

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 Senior Software Engineer - Data Science

Job Description

  • Adapting and enhancing machine learning techniques based on physical intuition about the domain
  • Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results
  • Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget
  • Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products
  • Support and mentor data scientists
  • Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive Impala
  • Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing)
  • Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them
  • Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing)
  • Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

  • Bachelor's or Master's degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred
  • 4 to 7 years of experience in data mining, data modeling, and reporting
  • 3+ years of experience working with large data sets or do large scale quantitative analysis
  • Expert SQL scripting required
  • Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C#
  • Experience working with Hadoop, Pig/Hive, Spark, MapReduce
  • Ability to drive projects
  • Basic understanding of statistics hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo
  • Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization.
  • Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required.
  • Strong algorithmic problem-solving skills
  • Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods
  • Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments
  • Experimentation design or A/B testing experience is preferred.
  • Experince in team management.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Data Analyst
Employement Type: Full time

Contact Details:

Company: LogiNext
Location(s): Mumbai

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Keyskills:   Cloud computing Data analysis Team management SAS Data modeling PHP Perl Apache Data mining Python

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