Senior Data Analytics Engineer
6 days ago
Unlock Business Growth with Data-Driven Insights
About the RoleWe are seeking a highly skilled Senior Data Analytics Engineer to join our team at ZipRecruiter. As a key member of our data science team, you will play a vital role in developing and implementing machine learning models that drive business growth and efficiency.
The ideal candidate will have a strong background in data science, excellent programming skills, and the ability to communicate complex data insights to both technical and non-technical stakeholders. If you're passionate about turning data into actionable business solutions, we want to hear from you.
Job DescriptionAs a Senior Data Analytics Engineer at ZipRecruiter, your primary responsibilities will include:
- Developing and Deploying Predictive Models: Design and implement machine learning models that support various business applications, including customer behavior analysis, predictive maintenance, and churn analysis.
- Collaborating with Cross-Functional Teams: Partner with product managers, business analysts, and engineering teams to align model development with business objectives and deliver data solutions that meet end-user needs.
- Transforming Data into Business Insights: Conduct exploratory data analysis to uncover trends, patterns, and actionable insights that directly support business growth and efficiency.
- Optimizing and Maintaining Models: Continuously monitor model performance and refine models based on feedback and new data to ensure accuracy over time.
- Utilizing Advanced Data Techniques and Tools: Leverage advanced machine learning techniques and tools like Python, R, TensorFlow, and Tableau to solve complex business problems.
We offer a competitive salary range of $140,000 - $180,000 per year, depending on experience, as well as a comprehensive benefits package, including health insurance, paid time off, and opportunities for professional growth and development.
RequirementsTo be successful in this role, you should possess:
- A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience in data science or machine learning, with a proven record of applying models to solve business challenges.
- Experience deploying models in production environments, ideally with cloud-based platforms (AWS, GCP, Azure).
- Strong programming skills in languages like Python, R, or SQL, as well as experience with libraries like Scikit-learn, TensorFlow, or PyTorch.
- Excellent communication and collaboration skills, with the ability to present complex data insights to both technical and non-technical audiences.
We are an equal opportunities employer and welcome applications from diverse candidates. Please submit your resume and cover letter to apply for this exciting opportunity.
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