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India Pune: Tech Prof-Eng/Petro Appl, Sr


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India Pune: Tech Prof-Eng/Petro Appl, Sr

India Pune: Tech Prof-Eng/Petro Appl, Sr

Date: Sep 13, 2017

Location: Pune, MH, IN, 411007

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Technical Skills: Analytics and Modeling

  • Education – Strong educational background is preferred. PhD/ Master’s degree in Data Science, Applied Statistics, Applied Mathematics, Operations Research or equivalent strongly preferred; MS/PhD in engineering with emphasis on applied statistics or statistical modeling or MS/PhD in Computer Science or other quantitative disciplines with emphasis in machine learning and database management in unstructured data environment (Hadoop) also considered.


  • Statistical programming skills: At least two years’ experience applying scientific methods in the field of analytics using statistical and mathematical programming packages such as R, Python. Java, Perl, C/C++ or any other programming language is a plus.


  • Machine learning – Expertise in supervised and unsupervised learning using a variety of machine learning algorithms is a must. Candidate should have both theoretical and practical understanding of parametric and non-parametric classification and regression models. Experience analyzing and presenting complex data and proven problem solving abilities is desired.


  • Feature engineering and Time-Series data analysis – Candidate should showcase expertise in engineering new features to improve model prediction/inference. Experience with time-series data is highly desired.


  • Hadoop Platform – Experience with Hadoop, Spark, and cloud computing ecosystem/platform will be preferred. Experience with Hive, Pig, Scala and MapReduce is desired. Parallel computing experience with Spark is highly desired.


  • SQL Database/Coding – Candidate should be able to write and execute complex queries in SQL.


  • Visualization software - Advanced skills with TIBCO Spotfire or other visualization platforms are desired.

Non-Technical Skills:

  • Business acumen – It is expected that the candidate is able to develop strong business acumen and a solid understanding of the industry, in addition to identifying new ways the business should be leveraging its data.


  • Communication skills – The data scientist we are looking for needs to clearly and fluently translate the technical findings to a non-technical team, such as the Marketing or Sales departments. Candidate must enable the business to make decisions by arming them with quantified insights, in addition to understanding the needs of their non-technical colleagues in order to wrangle the data appropriately.

Job Responsibility Requirements:

  • Proficient in using data analytics tools to perform queries and analyses and for defining and correlating data, and skilled at utilizing data visualization platforms to organize and present summarizations, predictive analysis, comparative analysis, dashboards and reporting.


  • Perform data mining and analytics to support ongoing continuous risk monitoring and risk assessments of operational data to recognize patterns and trends, investigate anomalies, and assess internal control environment.


  • Help with the design and implementation of data governance processes; the assessment and remediation of data quality related issues; working with large and complex enterprise data models and large volumes of data.


  • Utilize data analysis by leveraging various statistical techniques, and predictive modeling to drive and identify indicators of risk.


  • Drive efficiency by automation of manual auditing processes.


Halliburton is an Equal Opportunity Employer.



Ambar-134/4/16 Ashok Nagar, Pune, Maharashtra, 411007, India


Job Details

Requisition Number: 44724  
Experience Level: Experienced Hire 
Job Family: Engineering/Science/Technology 
Product Service Line: Production Enhancement  
Full Time / Part Time: Full Time

Additional Locations for this position: 


Compensation Information
Compensation is competitive and commensurate with experience.

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