A Place for Mom is hiring a
Data Scientist

Summary

Join our team as a Sr. Data Scientist to leverage advanced analytics and machine learning techniques to solve complex problems and provide actionable insights.

Requirements

• Degree in Computer Science, Data Science, Statistics, or a related quantitative field
• 6+ years of experience in data science/analytics roles, with a minimum of 3+ years focused on data science/machine learning modeling
• Strong proficiency in Python, PySpark for machine learning, data exploration, and analysis
• Strong SQL skills with expertise in handling complex SQL scripts
• Basic understanding of R
• Familiarity with machine learning libraries and frameworks, including pandas, NumPy, seaborn, matplotlib, MLFlow, scikit-learn, TensorFlow, and PyTorch
• Experience working with large, semi-structured datasets
• Proven experience in predictive modeling, machine learning techniques, and developing robust data science models
• Ability to simplify and communicate complex data and advanced analytics to stakeholders in an actionable manner
• Proficiency in A/B testing and strong knowledge of Bayesian and frequentist statistics, including concepts such as correlation, regression, and hypothesis testing

Responsibilities

• Maintain and manage legacy machine learning models
• Develop, enhance, and test new machine learning models to support business growth initiatives
• Conduct deep dive analysis and identify variance drivers
• Evaluate model performance and monitor for drift
• Implement thorough testing and evaluation to ensure model and code quality
• Create dashboards and visualizations to communicate insights
• Provide clear and actionable reporting for stakeholders
• Handle ad-hoc analytics requests to support business decisions
• Perform exploratory data analysis to uncover trends and patterns
• Ensure data quality through rigorous data collection, cleaning, and preprocessing
• Work closely with product, engineering, and business stakeholders to understand requirements, provide data-driven recommendations, and influence strategy
• Collaborate with cross-functional teams to advance data and analytics capabilities
• Identify opportunities to enhance data modeling and testing platforms
• Communicate the value of data analytics to non-technical teams and guide them in applying insights

Preferred Qualifications

• Experience building models and developing solutions for Lead Scoring, Multi-Touch Attribution (MTA), and Marketing Media Mix Modeling (MMM)
• Knowledge of visualization tools such as Tableau/PowerBI
• Experience working with data lakes and Databricks platform
• Familiarity with version control systems like Git

Benefits

• 401(k) plus match
• Dental insurance
• Health insurance
• Vision Insurance
• Paid Time Off