Senior Data Scientist
Job Description
Arcurve is one of North Americas 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 office in Calgary and hubs in 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 cant 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.
Were looking for an authentic, collaborative, accountable, talented and experienced Senior Data Scientist to join the Arcurve team.
YOU ARE
Passionate about technology
An authentic and creative human
Driven to succeed
A believer in the importance of teamwork
Community-minded
An expert problem solver
Someone who thrives on challenge
Motivated by exception results
Someone who cares about your clients
THE GOAL
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. The primary function of this role 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 will be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. You will also be expected to have some programming skills, an ability to design new algorithms, handle big data, with some expertise in the domain knowledge. You will be asked to interpret the results of your findings, and to explain how the model or technique works to our clients.
THE RESPONSIBILITES
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 resolve 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
THE REQUIREMENTS
Proven experience as a Data Scientist, working with external clients
Technical expertise with data models, data mining, and segmentation techniques
Hands-on experience with database design
Experience in data mining
Knowledge of Docker and Kubernetes
Understanding of machine learning and operations research
Knowledge of R, SQL, Python, and Jupyter Notebook
Experience using Databricks, Spark, Hadoop, Neo4j/Graph Databases or equivalent
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
THE PERKS
A fun work atmosphere that values equity, diversity and inclusion
Competitive salary plus flexible health & wellness benefits
Hybrid work environment and flexible scheduling
Contract or permanent employment agreements your choice!
A convenient, central location in Calgary but open to remote from anywhere in Canada
