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Data Science Assistant Jobs in Calgary, AB (NOW HIRING)

Support development or maintenance of GIS-based tools and applications, and assist with integration ... Bachelor's degree in Environmental Science, Data Science, Computer Science, Information Systems ...

... and policies. * Assist with training sessions to aid employees to be able to use the data ... Bachelor's Degree in Environmental Engineering/Sciences preferred. Experience in the following:

... services. * Assist in developing, testing, and validating new analytical tools and model ... D. in Geophysics, Geology, Geological Engineering, Mineral Engineering, Data Science, Computer ...

... * Assist in implementing change management and release management strategies to support smooth ... Bachelor's degree in Computer Engineering, Computer Science, or a related field Join our team and ...

This role focuses on polymer and alloy formulation, adhesion science, curing chemistry, and process ... Experience with statistical experimental design (DOE) and data analysis. Competencies * Strong ...

... assist clients to better leverage enterprise technologies to drive a higher return on investment ... Bachelor's orMaster's degree in Business, Information Technology, Finance, Data Science or Computer ...

Work with Senior Scientists to collect and analyze data * Support with instrument maintenance, inventory management, waste disposal and other laboratory activities as needed Your Skills and ...

Collaborate daily with a product manager and data scientist to shape how AI-driven insights are ... At AppDirect, AI tools may assist our recruitment team with administrative automations - always ...

... power of scientific testing and data-driven insights to build a healthier future. About the ... Clean and maintain glassware and lab ware; * Assist in sample flow and archiving as well as data ...

Clearly define KPI's with internal Marketing Data Science Analyst and client to establish correct ... Managing Client Budget Control Report, including forecasting, and monthly invoicing. * Assist the ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Calgary, AB? The most popular types of Data Science jobs in Calgary, AB are:
What job categories do people searching Data Science Assistant jobs in Calgary, AB look for? The top searched job categories for Data Science Assistant jobs in Calgary, AB are:
Environmental Data & GIS Specialist

Environmental Data & GIS Specialist

Parsons

Calgary, AB • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Parsons rating

7.9

Company rating: 7.9 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

167th of 368 rated engineering


Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.

Job Description:

Parsons is seeking an amazingly talented Environmental Data & GIS Specialist to join our team. In this role, you will leverage your environmental data management, database, and Geographic Information Systems (GIS) skills to directly support environmental project work as it relates to site assessment, risk assessment, risk management, and remediation of impacted sites.

What You'll Be Doing:

Under the supervision of the Database and GIS Team Lead, you will help implement, administer, maintain, and provide technical support for Parsons Canada's environmental data management systems and GIS products. You will support our team in developing enterprise environmental information solutions, including the design and automation of digital workflows for project initiation, mobile data collection, database management, data analysis, visualization, and data exchanges with client systems.

  • Use GIS and associated software to produce, display, and analyze geographic information to support environmental projects
  • Create, organize, manipulate, and retrieve geospatially and environmentally relevant data for reporting, analysis, and presentation
  • Load environmental data into Parsons' databases and validate data for completeness, accuracy, and compliance with project and contractual requirements
  • Identify, troubleshoot, and correct data issues, including rolling back or restoring data as required
  • Extract and transform data from Parsons' databases for delivery to client systems and prepare and load data into secondary/client databases
  • Perform quality assurance and quality control on GIS and environmental data
  • Develop, implement, and maintain environmental databases, including supporting historical data migration
  • Design workflows, automation, and templates to support environmental data and GIS analysis, reporting, and presentation
  • Support digital data collection programs and structured environmental datasets (e.g., laboratory, field, groundwater, soil, air monitoring data)
  • Support data queries, reporting, dashboards, and ad hoc data requests, including development of data visualizations and dashboards (e.g., Power BI or similar tools)
  • Support development or maintenance of GIS-based tools and applications, and assist with integration between environmental databases and other Parsons or client systems, including use of REST APIs for data access and automation

Responsibilities of this position will be adjusted based on the professional work experience of the successful candidate.

The successful candidate will have a strong sense of self-motivation toward assigned projects and the ability to balance work on multiple tasks, with proven ability as a team player. Candidates should possess excellent written and oral communication skills.

Parsons will give you the flexibility to do your best work with hybrid work options from both our Calgary office or a remote location.

What Required Skills You'll Bring:

  • Bachelor's degree in Environmental Science, Data Science, Computer Science, Information Systems, Geographic Information Systems (GIS), or a directly related discipline
  • 1 or more years of experience in data management, database support, GIS, or a similar role
    • Experience in the environmental sector is strongly preferred, but strong data/database skills with a willingness to learn environmental concepts will be considered
  • Understanding and demonstrated experience with relational database organization, design, and functionality
  • Proficiency with ESRI mapping and analysis tools and extensions (e.g., ArcGIS Online, Portal, Web Apps, or similar)
  • Experience with environmental data management systems, particularly:
    • EQuIS (EarthSoft Environmental Quality Information System), and/or
    • Other environmental databases or laboratory information management systems (LIMS)
  • Excellent organizational skills and attention to detail
  • Must be proactive and able to work in a multi-disciplinary team
  • Ability to multitask and manage multiple tasks and deadlines in a high-paced, project-driven environment
  • Demonstrated proficiency in both written and oral communication skills, including the ability to work with non-technical stakeholders
  • Willingness to learn new tools and technologies, and to support integration between environmental databases, GIS platforms, and client systems

What Desired Skills You'll Bring:

  • Familiarity with environmental data types and formats (e.g., laboratory EDDs, field data, monitoring data) is an asset
  • Basic to intermediate proficiency with SQL and experience with scripting or automation tools (e.g., Python, R, VBA, or similar) is an asset
  • Knowledge of natural sciences and the management of geospatial, analytical, and collected field data is an asset
  • Environmental science knowledge would be considered an asset
This position is part of our Critical Infrastructure team.For more than 80 years, our experts have designed and delivered the critical infrastructure that connects and protects communities around the world. We work in collaborative teams, both within the company and with our partners and customers, to plan, design, build, and modernize infrastructure. We take special pride in projects and solutions that improve communities as well as people's quality of life by promoting economic growth, enhancing mobility, and increasing sustainability and resiliency. Powered by our people, we provide the imagination necessary to support our customers' visions-and to help them see what's next!This job posting is for a current addition or replacement opportunity within Parsons.We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as health, vision, dental, employer paid provincial care premiums, Defined Contribution Pension Plan (DCPP), Tax-Free Savings Account (TFSA), Registered Retirement Savings Plan (RRSP), life insurance, paid time off, sick leave, all province observed holidays off, and gym membership discounts to fit your busy lifestyle!Parsons is an equal opportunity employer committed to diversity, equity, inclusion, and accessibility in the workplace. Parsons equally employs representation at all job levels for indigenous peoples, women, individuals with disabilities, and visible minorities.We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer tohttps://www.parsons.com/fraudulent-recruitment/.


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