Senior Data Scientist, Machine Learning

March 12

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Marketing Automation • Growth Marketing • Retention Marketing

1001 - 5000

Description

• Develop data-driven strategies to address key business challenges, such as customer segmentation, churn prediction, and lifetime value optimization • Use advanced statistical methods and machine learning techniques to analyze and interpret complex data, transforming it into insights that can guide decision-making for both our product and marketing teams • Partner with product managers to translate business needs into data analysis projects, helping to define KPIs and interpret the results to make actionable recommendations • Provide guidance on the proper implementation of data science models within our existing software environment, ensuring models are interpretable, robust, and aligned with business objectives • Collaborate with data engineers and machine learning engineers to develop scalable and reliable data pipelines for model training and inference • Implement frameworks for monitoring the performance and validity of analytics and machine learning models, ensuring their continued relevance and accuracy

Requirements

• At least 5 years of professional experience as a Data Scientist, with a specialized focus on software development and advanced analytics • A proven track record of designing, developing, and deploying software solutions powered by machine learning and data analytics • Strong expertise in Python, along with proficiency in data manipulation libraries like Pandas and modeling and analysis tools such as NumPy, Scikit-learn, XGBoost, Matplotlib, Seaborn, Scipy • Demonstrable skill in SQL and experience with database systems like Snowflake, PostgreSQL or MySQL

Benefits

• Competitive salary range of $142,000 - $205,000 annually + equity + benefits • Health & wellness perks • Equity • US based applicants • Salary ranges determined by role, level, and location