Data Scientist Job in Toronto

2704989 ONTARIO INC
    Published
    June 14, 2024
    Location
    Brampton, ON, Brampton, Canada
    Category
    Job Type

    Description

    Job Overview

    We are seeking a highly skilled and innovative Data Scientist to join our team in Toronto. As a Data Scientist, you will play a crucial role in analyzing complex datasets, developing data-driven solutions, and providing valuable insights to drive strategic decision-making. Your expertise in data analysis, statistical modeling, and machine learning will contribute significantly to our organization's success.

    Job Details:

    • Employer Name: 2704989 ONTARIO
    • Position: Data Scientist
    • No of Vacancies: 1
    • Salary: $41.50 hourly / 20 to 40 hours per week
    • Employment Type: Full-time,  Part-time
    • Location: Canada

    Education

    • No degree certificate or diploma

    Experience

    • 3 years to less than 5 years

    Job Responsibilities

    • Analyze large and complex datasets to extract meaningful patterns and insights
    • Develop predictive models and machine learning algorithms to solve business problems
    • Collaborate with cross-functional teams to identify opportunities for data-driven solutions
    • Design experiments and interpret results to provide actionable recommendations
    • Present findings and insights to both technical and non-technical stakeholders
    • Stay updated with the latest data science techniques and tools

    Qualifications/Skills

    • Master’s or Ph.D. in Computer Science, Statistics, Data Science, or a related field
    • Proficiency in programming languages such as Python, R, or SQL
    • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
    • Strong analytical and problem-solving skills
    • Excellent communication and presentation abilities

    Education and Experience Requirements

    • Minimum of 3 years of professional experience in data science or a related field
    • Proven track record of developing and implementing machine learning models in real-world applications
    • Experience with big data technologies and tools (e.g., Hadoop, Spark) is a plus

    Working Environments

    Our organization provides a collaborative and innovative work environment. Data Scientists work closely with diverse teams, utilizing cutting-edge technologies and tools to analyze and interpret data.

    Benefits

    • Competitive salary ranging from USD 15.00 to USD 50.00 hourly, based on experience and expertise
    • Health and dental insurance
    • Retirement savings plan
    • Flexible work schedule and remote work options
    • Opportunities for professional development and training

    Salary

    The salary for this position ranges from USD 15.00 to USD 50.00 per hour, depending on the candidate's experience and qualifications.

    How to Apply

    By Email: gillshivani03@gmail.com

    FAQ

    Q: What types of projects will I be working on as a Data Scientist? A: Data Scientists work on a variety of projects, including predictive modeling, data-driven decision-making, and optimizing business processes using data analysis.

    Q: Is there room for career advancement within the data science team? A: Yes, we encourage continuous learning and provide opportunities for Data Scientists to advance their skills and take on leadership roles within the team.

    Q: What tools and technologies does your organization primarily use for data analysis? A: We use a combination of Python, R, SQL, and various machine learning frameworks, along with big data technologies like Hadoop and Spark.

    Conclusions

    Joining our team as a Data Scientist in Toronto offers an exciting opportunity to work on cutting-edge projects and make a significant impact through data-driven insights. Your expertise and innovative thinking will be instrumental in driving our organization’s success. Apply today and become a vital member of our data science team, where your skills and passion for data analysis will be valued and celebrated.

    Apply
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