Senior Data Scientist

Location: Mississauga ON Posted Date: September 12, 2019
Employer: To view company name. See instructions below
Employer Job Id: 2013978452 Careermine Job Id: 1801563
Requisition ID: 22283

Job Category:Information Technology; Technology

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.

Scope of Position

Hatch is seeking a Senior Data Scientist to have a key technical role in its Data Science 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 sustaining the technology advancement of 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 technical 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.

Primary Responsibilities:

  • Understand the business need for analytics model, and determine, define and deploy predictive/prescriptive analytic solutions to meet business objectives;
  • Provide guidance in the selection of best fit methods, define algorithms, validate and deploy data analytics models to achieve business results;
  • Work with a team of data scientists in the development and deployment of data analytics tools;
  • Use machine learning methods 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;
  • Evaluate model fit and performance using a series of techniques (e.g. RMSE, RMSEA, MAE, MSE, MAPE, Accuracy, Recall, Precision, Etc.);
  • 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..


Qualifications (Required):

  • Bachelor's degree in Engineering (preferably Chemical, Systems, Mechanical, Civil or Electrical), Computer Science, Mathematics or equivalent from an accredited University and 5+ years of related work experience, or (preferred) a postgraduate degree with 3+ years of related work experience, or an equivalent combination of education and experience;
  • Solid knowledge and experience with a range of ML methods (e.g., multivariate analysis, cluster analysis, decision trees, random forest, SVM, neural networks, logistics regression)
  • 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;
  • Exceptional skills and abilities to clearly communicate to customers through graphical representation / visualizations, reports, algorithms, models, and dashboards.


Assets:
  • Experience with deep learning frameworks (Keras, TensorFlow, PyTorch) and cloud technologies (AWS, GCP, MS Azure) is desirable.
  • Experience working with databases (Teradata, Oracle, SQL, NoSQL dbs, etc.) and interpreting data;
  • 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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