Data Insights Strategist

3 weeks ago


San Francisco, California, United States ZipRecruiter Full time

Unlock Business Potential as a Data Insights Strategist

Job Summary:

Are you passionate about harnessing the power of data to drive business growth and transformation? As a Data Insights Strategist at ZipRecruiter, you'll play a pivotal role in unlocking strategic insights from complex datasets. With your expertise in machine learning, statistical analysis, and communication, you'll lead data-driven initiatives and support informed decision-making across the organization.

About the Role:

We're seeking a highly skilled and experienced Data Insights Strategist to join our team. In this role, you'll design, develop, and implement predictive models that enhance processes, inform strategies, and support operational excellence. Your strong analytical skills, paired with your ability to communicate complex ideas effectively, will be essential in transforming raw data into actionable business assets.

Key Responsibilities:

  1. Predictive Modeling: Develop and deploy machine learning models for predictive analytics, customer behavior forecasting, anomaly detection, and more. You'll work to continuously optimize models for accuracy and performance.
  2. Data Analysis: Use statistical and computational techniques to analyze structured and unstructured data. You'll identify trends, patterns, and relationships that reveal actionable business insights.
  3. Cross-Functional Collaboration: Partner with data engineers, product managers, and business leaders to align data solutions with strategic objectives. You'll communicate findings effectively to both technical and non-technical audiences.
  4. Data Pipelines: Work with data engineering teams to build and maintain data pipelines that support model training, validation, and deployment. You'll automate repetitive tasks to streamline data workflows.
  5. Model Performance Monitoring: Track the performance of deployed models and refine them based on feedback and new data. You'll implement model retraining and versioning to ensure continuous improvement.
  6. Advanced Statistical Techniques: Apply techniques such as regression, clustering, time-series analysis, and hypothesis testing to solve complex problems and validate findings. You'll leverage tools like R, Python, and SQL for in-depth analysis.
  7. Culture Advancement: Advocate for data-driven decision-making within the organization by sharing best practices and mentoring junior data scientists or analysts. You'll contribute to a culture of curiosity and data literacy.

Requirements:

To succeed as a Data Insights Strategist, you'll need:

  • 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.

Educational Requirements:

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Equivalent experience in data science and analytics may be considered.

Experience Requirements:

3+ years of experience in data science, with hands-on experience in data analysis, machine learning, and model deployment.

Estimated Salary:

$120,000 - $150,000 per year, depending on location and experience.



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