Data Analyst

4 weeks ago


Remote, Oregon, United States Unreal Gigs Full time
Data Scientist Role at Unreal Gigs

At Unreal Gigs, we're passionate about harnessing the power of data to drive business success. As a Data Scientist, you'll play a pivotal role in transforming data into actionable insights and driving data-driven decision-making across our organization.

Key Responsibilities:
  • Explore and analyze complex datasets to understand data patterns, trends, and relationships, and prepare data for analysis and modeling.
  • Develop and deploy predictive models using machine learning algorithms to solve business problems such as customer churn prediction, demand forecasting, and fraud detection.
  • Apply statistical techniques to analyze data, test hypotheses, and derive actionable insights that drive business decisions and strategies.
  • Create compelling visualizations and dashboards to communicate insights and findings to stakeholders, using tools such as Tableau, Power BI, or matplotlib.
  • Engineer features from raw data to improve model performance and accuracy, using techniques such as dimensionality reduction, feature scaling, and feature selection.
  • Evaluate and validate the performance of predictive models using appropriate metrics and techniques, and iterate on model development to improve performance.
  • Deploy models into production environments and integrate them into operational systems to enable real-time decision-making and automation.
  • Collaborate with cross-functional teams to understand business requirements, translate them into data science solutions, and communicate findings and recommendations to non-technical stakeholders.

Requirements:
  • Master's degree or higher in Computer Science, Statistics, Mathematics, or related field.
  • Strong background in statistics, mathematics, and machine learning, with hands-on experience in applying advanced analytical techniques to real-world problems.
  • Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries such as pandas, NumPy, and scikit-learn.
  • Experience with machine learning techniques such as classification, regression, clustering, time series analysis, and natural language processing.
  • Familiarity with data visualization tools and techniques for creating interactive visualizations and dashboards.
  • Strong problem-solving abilities and analytical thinking, with a passion for tackling complex data science challenges and driving actionable insights.

What We Offer:
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with team-building activities and social events.
  • Exciting projects with real-world impact across diverse industries.
  • Chance to work alongside top talent and industry experts in the field of data science.

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