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Ascendion

Data Scientist

Ascendion
Canada · Full-time · Associate

About Ascendion


Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.


Ascendion | Engineering to elevate life


We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:


  • Build the coolest tech for world’s leading brands
  • Solve complex problems - and learn new skill
  • Experience the power of transforming digital engineering for Fortune 500 clients
  • Master your craft with leading training programs and hands-on experience


Experience a community of change makers!


Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.


Job Title: Data Scientist


Must haves:

  • Proficiency in Python for data analysis, manipulation, and modeling.
  • Strong understanding of statistical concepts and methodologies for hypothesis testing, regression analysis, and predictive modeling.
  • Experience with machine learning techniques, including supervised and unsupervised learning algorithms, neural networks, and ensemble methods, using frameworks such as TensorFlow, PyTorch, or scikit-learn for building and deploying machine learning models
  • Familiarity with data visualization libraries such as Matplotlib, Seaborn, or ggplot2 for creating informative and visually appealing visualizations.
  • Familiarity with Python data science libraries such as Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and modeling.
  • Knowledge of database systems and SQL for data retrieval, manipulation, and storage.
  • Understanding of big data technologies such as Hadoop, Spark, or Hive for processing and analyzing large volumes of data.
  • Proficiency in data preprocessing techniques such as data cleaning, feature engineering, and dimensionality reduction.
  • Experience with version control systems such as Git for managing code repositories and collaboration.
  • Ability to work with cloud computing platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and deployment of machine learning models.



Location: Onsite(Mississauga/Toronto)


Salary Range: The salary for this position is between $100,000 - $140,000 annually. Factors which may affect pay within this range may include geography/market, skill, education, experience, and other qualifications of the successful candidate.


Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal day accrued each calendar year. The


Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 day of paid vacation time] [6 paid holiday and 1 floating holiday per calendar year] [Ascendion Learning Management System]


Want to change the world? Let us know.


Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

Key Skills

Ranked by relevance

machine learning cloud python data visualization neural networks data analysis tensorflow matplotlib big data storage pytorch seaborn pandas hadoop numpy spark git sql aws
Login to Apply
Posted
Jun 12, 2025
Type
Full-time
Level
Associate
Location
Mississauga
Company
Ascendion

Industries

Technology Information Internet Hospitals Health Care Retail Health Personal Care Products

Categories

Engineering

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