Data Scientist at Secuvy Inc
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

02 Dec, 25

Salary

64088.5

Posted On

04 Sep, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Statistics, Mathematics, Programming Languages, Data Science, Predictive Modeling, Python, Computer Science, Machine Learning

Industry

Information Technology/IT

Description

JOB SUMMARY

We are seeking a skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in data analysis, machine learning, and big data technologies to extract valuable insights and drive informed decision-making. This role requires a strong background in programming, statistical analysis, and experience with various data tools and platforms.

QUALIFICATIONS:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 3-5 years of hands-on experience in data science, machine learning, or a related role.
  • Proficiency in programming languages such as Python or R.
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
  • Solid understanding of statistical analysis, predictive modeling, and data preprocessing techniques.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
    Job Type: Full-time
    Pay: $64,088.50-$126,459.74 per year
    Work Location: Remot
Responsibilities
  • Analyze complex datasets to identify trends, patterns, and insights that can inform business strategies.
  • Develop and implement machine learning models using frameworks such as TensorFlow and Spark.
  • Design and maintain databases, ensuring efficient data storage and retrieval.
  • Collaborate with cross-functional teams to understand their data needs and provide analytical support.
  • Utilize programming languages such as Python, R, Java, or C to manipulate data and create algorithms.
  • Conduct data mining activities to gather relevant information from various sources.
  • Implement natural language processing techniques to enhance data analysis capabilities.
  • Work with big data technologies like Hadoop to manage large datasets effectively.
  • Prepare detailed reports and visualizations to communicate findings clearly to stakeholders.
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