Data Insight Strategist

22 hours ago


San Francisco, California, United States Unreal Gigs Full time

At Unreal Gigs, we're seeking a skilled Data Insight Strategist to drive business impact through data-driven initiatives. With a strong background in machine learning and statistical analysis, you'll collaborate with cross-functional teams to design, develop, and implement models that enhance processes and inform strategic decision-making.

The ideal candidate will have 3+ years of experience in data science, with hands-on expertise in data analysis, machine learning, and model deployment. A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is required. Certifications in data science are a plus.

We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience. Benefits include comprehensive medical, dental, and vision insurance plans, paid time off, flexible work schedules, and opportunities for training and career advancement.

Key Responsibilities
  • Design and Implement Predictive Models: Develop and deploy machine learning models for predictive analytics, customer behavior forecasting, anomaly detection, and more.
  • Analyze Complex Datasets: Use statistical and computational techniques to analyze structured and unstructured data, identifying trends, patterns, and relationships that reveal actionable business insights.
  • Collaborate with Cross-Functional Teams: Partner with data engineers, product managers, and business leaders to align data solutions with strategic objectives.
  • Develop and Automate Data Pipelines: Work with data engineering teams to build and maintain data pipelines that support model training, validation, and deployment.
Required Skills and Qualifications
  • Machine Learning and Statistical Analysis: Strong experience with building machine learning models and applying statistical techniques to extract meaningful insights from data.
  • Programming Proficiency: Proficiency in Python and R for data analysis and model development, with familiarity with libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
  • Data Visualization and Communication: Experience with data visualization tools to present data findings clearly and effectively.
  • SQL and Data Manipulation: Strong ability to query and manipulate large datasets using SQL and other data manipulation tools.


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