Data Science Advisor
2 weeks ago
Adecco is currently hiring a full-time Data Science Advisor to lead advanced analytics initiatives and provide strategic insights that drive data-driven decision-making across the organization, for our client, who is a leader in the gas and oil industry, in Calgary, AB. You will be responsible for solving key business problems using advanced data science techniques, monitoring the adoption of these solutions, and tracking their realized value. Additionally, you will promote data science best practices across the organization by maintaining documentation, conducting training sessions, providing mentorship, and fostering a collaborative environment.
If you are able to leverage expertise in machine learning, statistical modeling, and data visualization to solve complex business challenges and deliver innovative solutions., we are looking for you
- Location: Calgary, AB
- Shift: Monday to Friday
- Job type: Long Term | Full-time | 1-year contract
Here's why you should apply:
- Paid weekly accurate and on time
- Strong health and safety programs
- Medical and dental benefits once qualified
- Free training programs
- New and quicker onboarding process
Responsibilities:
- Develop internal tools and end-to-end machine learning solutions.
- Advise on solution approaches, strategies, methodologies, code, architecture, pipelines, and other solution components.
- Utilize big data tools in cloud-enabled environments to access and integrate large datasets for sophisticated analysis.
- Collaborate closely with Data & IT teams, including Data Governance, Data Engineering, and Data Visualization teams.
- Build and deploy custom interfaces using frameworks like Streamlit, Dash, and Shiny.
- Collaborate with internal and external partners to identify and advance cloud/data science opportunities.
- Drive the adoption of data science best practices and provide training and mentorship to upskill others in the organization.
Qualifications:
- Must be legally eligible to work, and reside in Canada
- Excellent communication skills to convey technical concepts and insights to both technical and non-technical stakeholders.
- Minimum of 5 years of experience in data science, data analytics, machine learning, or a related field.
- Proficiency in Git, R, Python, and SQL.
- Bachelor’s degree in data science, software engineering, computer science, applied mathematics, statistics, engineering, or a related field.
- Master’s degree in data science, software engineering, computer science, applied mathematics, statistics, engineering, or a related field is an asset.
- Professional Engineering designation is an asset.
- Experience in the oil and gas industry is an asset.
- Experience with Databricks is an asset.
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