Category : Information Technology Industry : Oil & Gas Type : Direct Hire Location : Calgary, Alberta Job ID : #157782
Are you a Data Science professional with experience in data science and in senior engineering and technology roles (5+ years) working with product development teams, delivering and building digital products?
Then we would love to discuss an opportunity with you for a our Midstream client for their office in Calgary, AB.
Our client's teams incorporate a variety of multidisciplinary skills, including industrial predictive algorithms, machine learning, and sentiment analysis.
As a Data Scientist for our client, you’ll bring a deep understanding of big data and will help the T+IL to build and enable big data analytics solutions.
Skills and Qualifications :
You have experience in data science and in senior engineering and technology roles (5+ years) working with product development teams, delivering and building digital products
You bring a high-energy and passionate outlook to the job and can influence those around them
You’re passionate about innovation with a can do attitude
You understand high performance algorithms and Python statistical software
You have experience with lamda architectures and batch and real-time data streams
You have experience in industry data science (e.g., machine learning, predictive maintenance) preferred
You architect highly scalable distributed systems, using different open source tools
You're experienced with agile or other rapid development methods
You are experienced in object oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data
You have deep knowledge of data modelling and understanding of different data structures
You build a sense of trust and rapport that creates an effective workplace
You hold a Master’s in Information Technology, Computer Science, or a related quantitative discipline
Job Duties and Responsibilities :
You’ll bring deep functional expertise to shape data structures and algorithms in a distinctive way to ensure large-scale business impact of the digital products being built and drive competitive advantage for the company
You’ll collaborate with Data Head and developers to find opportunities to use company data to drive business solutions.
You’ll mine and analyze data from company systems
You’ll assess the effectiveness and accuracy of new data sources and data gathering techniques.
You’ll develop custom data models and algorithms to apply to data sets.
You’ll use Machine Learning and Artificial Intelligence to increase and optimize customer experiences, revenue generation, and other business outcomes.
You’ll partner with different functional teams to implement models and monitor outcomes.
You’ll conduct data wrangling, munging, exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)
You’ll enable big data and batch / real-time analytical solutions that use emerging technologies
You’ll code, test, and document new or modified data systems to create robust and scalable applications for data analytics
You’ll ensure all automated processes preserve data by leading the alignment of data availability and integration processes
If you bring the mentioned skills and experiences. Please get in touch. This position comes with a competitive compensation package and benefits..
Looking for Meaningful Work? We can help.
If you're a technical professional, you know that it can be difficult to find fulfilling work that advances your career.
At the Ian Martin Group, we exist to connect professionals like you with meaningful work at industry-leading companies in your field.
And we walk the walk, too : as a Certified B Corporation, we believe in using business as a force for good for people, our communities, and the environment.
We value diversity and inclusion and encourage all qualified people to apply. If we can make this easier through accommodation in the recruitment process, please contact us at recruit ianmartin.
com. We encourage all qualified candidates to apply; however, only those selected for an interview will be contacted.