The Data Science team is focused on using data to help make better decisions about our products. Data is a critical part of our product development process, and Product Analysts are their chief advocates. We are responsible for ensuring that data is trustworthy and correct, finding insights from the data, and making an impact through data-informed decisions. Working with engineering to implement, document, validate, and monitor our logging and metrics. Creating simple, trustworthy data pipelines and automated reporting to surface key metrics. Identifying, translating, prioritizing, and informing important product questions with data. Exploring data to find actionable insights and make product recommendations through funnels, cohort analyses, long-term trends, user segmentation, ML models, and more. Connecting product engagement with growth and business results.
Good understanding of basic ML techniques just as regressions, tree based models, clustering techniques and SVMs
4+ years experience doing causal inference, quantitative analyses and modeling for a technology company
Experience in product data science is a bonus
Python
R
Quantitative analysis skills
Time Management Skills
SQL and statistical programming
Verbal communication
Driven and self-motivated
Prioritizing skills
written communication
Flexibility/Adaptability
Detail oriented and highly organized
According to JobzMall, the average salary range for a Data Scientist is between $80,000 and $132,000. This range is dependent upon the individual's experience, level of expertise, and other factors. Additionally, the salary range may vary depending on the industry, the company, the size of the organization, and the location.
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