Job Description

Data Engineer/Scientist

Job Description

·         Use data science and statistical analysis with experience building mathematical algorithms and machine learning models to effectively solve business problems.

·         Build tools/workflows and support structures needed to analyze data, perform data cleaning, execute feature detection and extract business value from data.

·         Interact and use large data sets, unstructured data, structured data and supporting compute/cloud systems - experience with Microsoft Azure or Hadoop preferred.

·         Write code/software in one of the following languages with multi-language experience preferred: R, Python, MATLAB, C.

·         Develop prototype workflows & software for use in field operations.

·         Under minimal guidance use data, software and mathematics/algorithms to develop business hypotheses, answer questions or identify trends that are critical for the business.

·         Develop prototype data analysis and processing workflows for use in field applications.

·         Create data visualization products to communicate results both internally and externally.

·         Collaborate with other analytics colleagues to formulate analysis plans.

·         Work with development teams, operations and business groups to ensure models/workflows can be implemented as part of a delivered solution replicable across all districts/crews/clients.

·         Stay engaged with the latest technologies/software available in the area of big data and data analytics.

·         Provide guidance to the business on potential data-related investment opportunities, appropriate analytics tools and big data collaboration opportunities both internally and externally.

·         Capture intellectual property for Halliburton in the area of algorithms, automation, big data, and data visualization.

Requirements

·         Must have a degree in a quantitative field like Mathematics, Engineering, Computer Science, Statistics or Physics. Basic knowledge of oil and gas unconventional operations preferred.

·         Requirements of the position:

·         Expertise in various predictive modeling:

·         Expertise in supervised learning regression and classification algorithms: Linear regression, Logistics regression, Decision Tree, SVM, KNN

·         Expertise in unsupervised learning such as PCA/SVD/ICA/LDA, K-means, t-SNE, Hierarchical clustering

·         Expertise in ensemble modeling such as Random forest and Gradient Boosting

·         Experience building deep learning models: DNN, CNN, RNN, LSTM

·         Deep Knowledge of ML/AI software and packages such as python: scikit-learn, Tensorflow and R: CARET 

·         Expertise in model validation, hyperparameter tuning, and model selection techniques such as cross validation, leave-one-out, bootstrap

·         Knowledge of different database and data extraction tools such as: SQL, JSON, protobuf, noSQL

·         Expertise in data visualization package and software such as python: matplotlib and plotly, R: ggplot, Tableau, spotfire, power BI

·         Knowledge of one or more big data platform such as Hadoop, Spark

·         Expertise in data wrangling using libraries such as pandas and languages like python and R

·         Experience with distributed data/computing tools: Map Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

·         Proficiency in statistics concepts: sampling theory, descriptive statistics, probability distributions, statistical tests, dimensionality reduction, Hypothesis testing, maximum likelihood estimators, inference, etc. ...

·         Proficiency in statistical and data mining techniques: GLM/GAM/Regression, Classifications, Random Forest, Boosting

·         Knowledge of Bayesian statistical framework

·         Knowledge of Monte-Carlo and markov-chain framework

·         Expertise in one or more statistical software such as R, SAS, Stata, python packages such as Statsmodels, scipy and scikit-learn

·         Knowledge of diagnostics statistics and performance measurements of statistical models

·         Knowledge of linear and non-linear correlation and auto-correlation methods

·         Knowledge of regularization methods 

·         Strong analytical and problem-solving skills

·         Excellent attention to detail

·         Ability to communicate complex data in a simple, actionable way

Company Description

About QuEST Global: QuEST Global is an Engineering Solutions company incorporated in 1997 in Schenectady, NY, with current headquarters in Singapore. QuEST's culture, focused around the QuEST core values (Customer Focus, Change Championship, Accountability, ad Teamwork) as well as our passion for engineering, has allowed QuEST to be recognized as one of the leading global Engineering Services providers in the world. QuEST caters to multiple high technology verticals such as Aero Engines, Aerospace and Defense, Industrial Products, Fast Moving Consumer Goods, Power Generation, Oil & Gas and Nuclear Engineering. Our portfolio of services and solutions covers all aspects of the product development and engineering process such as Product Design, Product Development, Prototyping, Testing, Certification, Manufacturing Support, Product Support (sustenance, repair, documentation, etc.), Product re-engineering, as well Consulting Services. With our diversified portfolio and geographic spread we have been able to conceptualize, design & develop, test, manufacture, certify and support different kinds of products worldwide. QuEST Global Engineering has a Global Product Development framework that is anchored on a local-global approach to Product Engineering to ensure close co-operation between the customer teams and QuEST's Global teams. We have successfully implemented a network of collaboration across teams in 21 geographically dispersed engineering centers catering to an exclusive list of customers. QuEST is a unique company that has cracked the code for stitching multi-national engineering teams to work together as one team to serve our demanding customers providing high quality product design and engineering services. QuEST is a global company and employs the best of talent across geographies India, North America, UK, Spain, Italy and Australia. QuEST Global is An Equal Opportunity/Affirmative Action Employer. EOE/AAE