A Place for Mom is looking to solve complex problems and provide actionable insights by leveraging advanced analytics and machine learning techniques to drive business growth and influence business strategy.
Requirements
- Strong proficiency in Python, PySpark for machine learning, data exploration, and analysis.
- Strong SQL skills with expertise in handling complex SQL scripts.
- Familiarity with machine learning libraries and frameworks, including pandas, NumPy, seaborn, matplotlib, MLFlow, scikit-learn, TensorFlow, and PyTorch.
- Experience with fine-tuning, prompt engineering, and deploying LLMs in production environments.
- Experience working with large, semi-structured datasets.
- Proven experience in predictive modeling, machine learning techniques, and developing robust data science models.
- Knowledge of visualization tools such as Tableau/PowerBI.
Responsibilities
- Develop, enhance, and test new machine learning models to support business growth initiatives.
- Design, prototype, and productionize LLM-powered solutions (e.g., retrieval-augmented generation, summarization, information extraction and classification) aligned to business use cases.
- 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.
- Handle ad-hoc analytics requests to support business decisions.
Other
- 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.
- Ability to simplify and communicate complex data and advanced analytics to stakeholders in an actionable manner.
- Ideally open to working in Eastern or Central time zone.
- 401(k) plus match, Dental insurance, Health insurance, Vision Insurance, Paid Time Off
