Data Scientist

20 hours ago

Toronto, Ontario, Canada Spait Infotech Private Limited Full time

Job Title: Data Scientist

Job Summary

The Data Scientist is responsible for collecting, analyzing, and interpreting complex datasets to help organizations make informed business decisions. This role involves applying statistical analysis, machine learning, and data modeling techniques to identify trends, develop predictive models, and generate actionable insights that drive strategic growth.

Key Responsibilities

  • Collect, clean, and preprocess data from multiple sources to ensure accuracy and quality.
  • Analyze large datasets using statistical methods and programming tools to uncover insights and patterns.
  • Develop predictive models and machine learning algorithms to solve business problems and optimize processes.
  • Collaborate with cross-functional teams (engineering, business, marketing, finance, etc.) to understand data needs and translate them into analytical solutions.
  • Communicate findings and insights through data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn).
  • Design and implement experiments (A/B testing) to validate hypotheses and measure outcomes.
  • Build and maintain data pipelines in collaboration with data engineers.
  • Monitor model performance and retrain or refine models as needed.
  • Document methodologies, models, and data processes to ensure reproducibility and compliance.
  • Stay updated on new data science tools, techniques, and best practices.

Required Skills and Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • 3+ years of experience in data science, analytics, or a similar role.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data manipulation and analysis libraries (Pandas, NumPy, SciPy).
  • Proficiency in SQL for querying and managing structured data.
  • Solid understanding of machine learning algorithms (regression, classification, clustering, time-series forecasting).
  • Experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Knowledge of data visualization tools (Tableau, Power BI, Plotly, etc.).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) for data science and model deployment.
  • Strong mathematical and statistical foundations (probability, hypothesis testing, linear algebra).
  • Excellent communication and storytelling skills — ability to present complex findings to non-technical audiences.

Job Types: Full-time, Permanent

Pay: $90,000.00-$120,000.00 per year

Benefits:

  • Work from home

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