Arcurve is one of North America’s leading full-service technology, advisory and software development companies. In 2006, we began with a belief that there was a better way to deliver professional services in the technology industry. Since then, we have completed more than 700 projects for clients ranging from start-ups to Fortune 500 companies. From our offices in Calgary, Halifax, Houston and Vancouver we deliver exceptional results for our clients in a diverse range of industries including telecommunications, oil and gas, transportation, private equity, gaming, infrastructure, software, financial and hospitality.
At Arcurve, we believe that work should be an enjoyable experience, and that the best “aha” moments come through team learning and continuous motivation. We know the key to success is collaboration, and that you can’t put a value on accountable, transparent and authentic interactions. We strive to deliver exceptional service, while creating lasting, authentic relationships with our employees, our contractors, our students, our clients and our community.
We’re looking for an authentic, collaborative, accountable and talented Data Scientist to join the Arcurve team.
Passionate about Technology
An authentic and creative human
Driven to Succeed
A Believer in the importance of teamwork
An expert problem solver
Someone who thrives on challenge
Motivated by exception results
Someone who cares about your clients
A data scientist is the alchemist of the 21st century: someone who can turn raw data into purified insights. Data scientists apply statistics, machine learning and analytic approaches to solve critical business problems. Their primary function is to help organizations turn their volumes of big data into valuable and actionable insights. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Data scientists are also expected to have some programming skills, an ability to design new algorithms, handle big data, with some expertise in the domain knowledge. The candidate is expected to interpret the results of their findings, and to explain how the model or technique works to the business users or customers. We also want to see a passion for machine-learning and research.
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Collaborate with data engineering and business intelligence analysts
Propose solutions and strategies to business challenges
Present information using data visualization techniques
Combine models through ensemble modeling
Interact with stakeholders
Model design and testing
Algorithm assessment, design, and testing
Previous experience as a data engineer or in a similar role
Technical expertise with data models, data mining, and segmentation techniques
Hands-on experience with database design
Proven experience as a Data Scientist or Data Analyst
Experience in data mining
Knowledge of Docker and Kubernetes
Understanding of machine-learning and operations research
Knowledge of R, SQL, Python, and Jupyter notebooks
Experience using business intelligence tools (e.g. PowerBI, Tableau, Qlik) and data platforms (Azure, AWS, GCP, and Neo4j)
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Excellent communication and presentation skills
BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
Databricks, Spark, Hadoop, Neo4j/Graph Databases or equivalent
Competitive salary plus health benefits
A convenient, central location
A fun work atmosphere that values equity, diversity and inclusion
Hybrid work environment and flexible scheduling
Fully stocked snack bar
The ability to take on either a full-time contract or full-time permanent role
This is a Calgary-based position; however it is open for remote work to anyone authorized for work in Canada.