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Data Science Specialist

Date: Feb 8, 2019

Location: Washington, DC, US

Company: Hatch

Requisition ID: 19748 

Job Category: Consulting; Operational Performance 

Location: Washington, DC, United States  

 

With over six decades of business and technical experience in the mining, energy, and infrastructure sectors, we understand that challenges are changing rapidly in every industry. We respond quickly with solutions that are smarter, more efficient, and innovative. We draw upon our 9,000 staff with experience in over 150 countries to challenge the status quo and create positive change for our clients, our employees, and the communities we serve.

Hatch is seeking a Data Science Specialist to act as a key leader in its Digital business. We are looking for someone motivated by the desire to deliver sound, effective and sustainable solutions that demonstrate improved business outcomes. The successful candidate will have an opportunity to work on pioneering projects which involves the implementation of leading edge digital and automation technologies and processes.

Alongside existing senior staff, you will support Hatch Digital leadership in areas of business development, customer relationships, people management and financial performance.  In addition, you will also have a key role in supporting and sustaining the growth of the Hatch Digital globally. Join a collaborative, industry knowledgeable team who welcome fresh ideas and innovative thinking.

Working with the Global Data Science Center of Excellence, you will help lead the development of data science-based offerings for Hatch Digital markets to deliver clear value for our clients. The candidate will have solid industry knowledge and experience, as well as a documented history of assisting organizations establish solutions using advanced analytics and data science supporting process optimization and digital transformation.

Location: Washington, DC or Mississauga 

Primary Responsibilities:

  • Understand the business need for analytics model, and determine, define and deploy predictive/prescriptive analytic solutions to meet business objectives;
  • Choose best fit methods, define algorithms, validate and deploy data analytics models to achieve business results;
  • Use machine learning methods (e.g., multivariate analysis, cluster analysis, decision trees, random forest, neural networks, logistics regression) to model and predict business outcomes, such as classification of errors;
  • Use advanced mathematical techniques (correlation, regression, time series analysis, analysis of variance, etc.) to forecast business outcomes;
  • Identify appropriate methods to analyze supply chain data including simulation, machine learning, and statistical analyses;
  • Evaluate model fit and performance using a series of techniques (e.g. RMSE, RMSEA, MAE, MSE, MAPE, Accuracy, Recall, Precision, Etc.);
  • Evaluate supply chain data / metrics (e.g.: Repair Total Cycle Time, PBL Supply Levels, SI&OP) and develop mathematical models to support assessment of metrics and predict future levels;
  • Develop high level and automated data visualizations to capture time series trends and summarize burn down of data exceptions;
  • Create recurrent summary reports of data exception metrics, trends, outliers, etc.;
  • Exceptional skills and abilities to clearly communicate to customers through graphical representation / visualizations, reports, algorithms, models, and dashboards.

Qualifications (Required):

  • Bachelor's degree in Engineering (preferably Chemical, Systems, Mechanical, Civil or Electrical) from an accredited University and 5 or more years of related work experience, or a Master’s degree with 3 or more years of related work experience or an equivalent combination of education and experience;
  • Experience developing and applying innovative data analytics solutions in industrial and business settings;
  • Experience with business case analysis (problem identification, quantitative modeling and problem solving);
  • Hands on experience with R, Python or equivalent tools to manipulate and transform data;
  • Exposure to Data visualization tools and techniques;
  • Experience working with databases (Teradata, Oracle, SQL, NoSQL dbs, etc.) and interpreting data.

Assets:

  • Experience developing software user interfaces;
  • Knowledge and/or experience applying mathematical optimization methods (linear programming, nonlinear programming and/or mixed-integer linear programming).

Skills:

  • Keenly interested in solving very challenging client problems;
  • Willingness to take technological risks involved in creating innovative solutions;
  • Demonstrated ability to work both collaboratively and independently when appropriate;
  • Ability to build relationships and effectively influence colleagues, clients and stakeholders;
  • Excellent communication, interpersonal and teamwork skills in complex and changing environments.

We are committed to fostering a workforce in each of our locations that reflects the diversity of the communities in which we operate. Hatch is an Equal Opportunity Employer that considers employment applicants without regard to age, race, colour, national origin, citizenship, religion, creed, sex, sexual orientation, marital status, disability or any other protected status. If you have any special needs requirements, please let us know. We will do our utmost to accommodate, in accordance with applicable local legislation. 


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