Data Insights Strategist
3 days ago
We are seeking an exceptional Data Insights Strategist to lead data-driven initiatives and support strategic decision-making through innovative analyses and machine learning solutions.
Your expertise in data analysis, machine learning, and communication will be essential in transforming raw data into strategic assets. As a Data Insights Strategist at ZipRecruiter, you'll collaborate with data engineers, business analysts, and stakeholders to design, develop, and implement models that enhance processes, inform strategies, and support operational excellence.
About the Role- $145,000 - $170,000 per year
- 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.
- Cross-Functional Team Collaboration: Partner with data engineers, product managers, and business leaders to align data solutions with strategic objectives, effectively communicating findings to both technical and non-technical audiences.
- Develop and Automate Data Pipelines: Work with data engineering teams to build and maintain data pipelines that support model training, validation, and deployment, automating repetitive tasks to streamline data workflows.
- Monitor Model Performance and Iterate: Track the performance of deployed models and refine them based on feedback and new data, implementing model retraining and versioning to ensure continuous improvement.
- Apply Advanced Statistical Techniques: Utilize techniques such as regression, clustering, time-series analysis, and hypothesis testing to solve complex problems and validate findings, leveraging tools like R, Python, and SQL for in-depth analysis.
- Mastery of 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, familiarity with libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
- Data Visualization and Communication: Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) 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.
- Problem Solving and Critical Thinking: Proven ability to approach problems methodically, develop innovative solutions, and deliver impactful results.
- Competitive Salary and Bonus Structure
- Comprehensive Medical, Dental, and Vision Insurance Plans
- Paid Time Off and 20 Paid Holidays per Year
- Flexible Work Schedules and Telecommuting Options
- Professional Development Opportunities and Career Advancement Programs
- Access to Wellness Programs and Employee Assistance Services
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