Data Insights Engineer
19 hours ago
We are seeking a highly skilled Data Insights Engineer to join our team at ZipRecruiter. As a Data Insights Engineer, you will play a critical role in developing and implementing machine learning models that support key business functions.
Key Responsibilities:- Develop and Deploy Predictive Models: Build and deploy machine learning models for various business applications, including customer segmentation, predictive maintenance, and churn analysis. Ensure models are production-ready and scalable.
- Collaborate with Cross-Functional Teams: Partner with product managers, business analysts, and engineering teams to align model development with business objectives. Gather requirements and deliver data solutions that meet end-user needs.
- Transform Data into Business Insights: Conduct exploratory data analysis to uncover trends, patterns, and actionable insights. Leverage these insights to create models that directly support business growth and efficiency.
- Optimize and Maintain Models: Continuously monitor model performance and refine models based on feedback and new data. Implement retraining workflows and adjust parameters to ensure accuracy over time.
- Utilize Advanced Data Techniques and Tools: Use advanced machine learning techniques, such as ensemble methods, time-series analysis, or deep learning, to solve complex business problems. Work with tools like Python, R, and TensorFlow.
- Create and Present Data Visualizations and Reports: Develop visualizations and reports to communicate insights and model performance to non-technical stakeholders. Ensure that findings are accessible and meaningful for decision-makers.
- Machine Learning and Statistical Modeling: Expertise in developing and implementing machine learning models, including experience with supervised and unsupervised learning techniques.
- Programming and Data Analysis: Proficiency in Python, R, or SQL for data analysis and model development, along with experience in libraries like Scikit-learn, TensorFlow, or PyTorch.
- Business Acumen: Ability to translate complex data into business insights, with an understanding of key metrics and KPIs that drive value for the organization.
- Data Visualization and Communication: Strong skills in creating data visualizations using tools like Tableau, Power BI, or Matplotlib. You can present insights effectively to both technical and non-technical audiences.
- Certifications and Experience: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Equivalent experience in data science or applied analytics may be considered.
- Competitive Salary: $140,000 - $180,000 per year, depending on experience.
- Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
- Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
- Work-Life Balance: Flexible work schedules and telecommuting options.
- Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
ZipRecruiter is a leading online employment marketplace that connects employers with job seekers. We strive to make finding a job easier and more efficient for everyone involved. Join our team today and contribute to shaping the future of recruitment technology
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