Data Scientist Job at TekTronIT LLC, Ontario, CA

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  • TekTronIT LLC
  • Ontario, CA

Job Description

Key Responsibilities:

  • Collect, clean, and preprocess large and complex datasets from multiple sources.

  • Design, develop, and implement machine learning (ML) and statistical models to address business challenges.

  • Analyze data trends and patterns to generate actionable insights for business teams.

  • Work closely with data engineers , analysts , and stakeholders to understand business objectives and deliver data-driven solutions.

  • Develop and deploy models into production using tools such as Azure ML , AWS Sagemaker , or Databricks .

  • Evaluate model performance using relevant metrics and continuously improve accuracy and scalability.

  • Create clear and compelling data visualizations and presentations to communicate insights.

  • Collaborate in Agile teams and participate in sprint planning, stand-ups, and reviews.

  • Maintain detailed documentation of experiments, methodologies, and results.

  • Stay updated on emerging technologies and trends in data science, AI, and ML.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field .

  • Strong programming skills in Python or R , with experience using libraries such as pandas , NumPy , scikit-learn , TensorFlow , or PyTorch .

  • Solid understanding of machine learning algorithms , statistical analysis , and predictive modeling techniques .

  • Proficiency in SQL and working with relational databases (e.g., SQL Server, PostgreSQL).

  • Experience with data visualization tools such as Power BI , Tableau , or Matplotlib/Seaborn .

  • Hands-on experience with cloud platforms (Azure, AWS, or GCP) for data and ML workflows.

  • Familiarity with data engineering tools (e.g., Azure Data Factory, Databricks, or Spark) for building data pipelines.

  • Strong analytical thinking, problem-solving, and communication skills.

  • Ability to work collaboratively with cross-functional teams in an Agile environment.

Job Tags

Full time, Part time, Seasonal work,

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