Data Insight Strategist
22 hours ago
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.
- 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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