Data Scientist

We are looking for a skilled and motivated Data Scientist to join our analytics team. The ideal candidate will have a deep understanding of data analysis, statistical modeling, and machine learning. You will work closely with cross-functional teams to derive insights from data, build predictive models, and help drive data-driven decision-making across the company.

Full Time | 5+ Years

Salary: $90,000 - $120,000

Location: Remote

Company: TechData

Category: Data Science

Employment Status: Full Time

Job Level: Senior

Application Deadline:

Responsibilities:

  • Analyze large datasets to identify trends, patterns, and actionable insights
  • Develop and deploy machine learning models to solve business problems
  • Work with business stakeholders to define and prioritize analytics needs
  • Collaborate with engineering teams to implement data pipelines and improve data quality
  • Present findings and insights to non-technical stakeholders in a clear and actionable way
  • Continuously monitor model performance and make necessary adjustments
  • Stay current with the latest advancements in data science and machine learning

Requirements:

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field
  • 5+ years of experience in data analysis and machine learning
  • Proficiency in programming languages such as Python, R, or SQL
  • Strong experience with machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch)
  • Solid understanding of statistics, data modeling, and predictive analytics
  • Ability to work with large datasets and cloud technologies (e.g., AWS, GCP, Azure)
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills to explain complex data insights to non-technical audiences

Benefits:

  • Health, dental, and vision insurance
  • Paid time off and holidays
  • 401(k) with company match
  • Professional development opportunities
  • Remote work options
  • Access to cutting-edge data science tools and resources

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