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Data Scientist Remote Job (Innovate Tech IT LLC)

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Full job description

Job Overview

We are seeking a highly analytical and detail-oriented Data Scientist to collect, analyze, and interpret large datasets to drive data-driven decisions. The ideal candidate will use statistical analysis, machine learning, and data visualization techniques to uncover insights that support business growth and innovation.

Key Responsibilities

  • Analyze large, complex datasets to identify trends, patterns, and actionable insights
  • Build, test, and deploy predictive models and machine learning algorithms
  • Clean, preprocess, and validate structured and unstructured data
  • Collaborate with product, engineering, and business teams to define data requirements
  • Design and maintain dashboards and reports for stakeholders
  • Communicate findings clearly through visualizations and presentations
  • Optimize data workflows and improve model performance
  • Stay updated with emerging data science tools and techniques

Required Skills & Qualifications

  • Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
  • Strong proficiency in Python or R
  • Experience with SQL and relational databases
  • Solid understanding of statistics, probability, and data modeling
  • Hands-on experience with machine learning algorithms
  • Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, GCP) is a plus

Preferred Qualifications

  • Experience with big data tools (Spark, Hadoop)
  • Knowledge of deep learning frameworks (TensorFlow, PyTorch)
  • Experience working with real-world business datasets
  • Strong problem-solving and communication skills

What We Offer

  • Competitive salary and performance-based incentives
  • Opportunity to work on real-world, high-impact projects
  • Career growth and learning opportunities
  • Collaborative and inclusive work environment

Job Type: Full-time

Pay: $80,000.00 – $120,258.77 per year

Work Location: Remote

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