Senior Data Scientist

November 25

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $115k - $125k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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A Place for Mom

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Marketplace • B2C

A Place for Mom is a U. S. -based senior care referral and marketplace that helps families find, compare, and arrange senior living and home care options, including assisted living, memory care, independent living, nursing homes, and home care providers. The company connects families with local senior living advisors, publishes guides, reviews and awards, and offers tools like cost calculators and personalized recommendations. Its service is free to families and is funded by participating senior living communities and home care providers.

501 - 1000 employees

Founded 2000

🏪 Marketplace

👥 B2C

📋 Description

• 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. • 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.

🎯 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. • 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. • 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. • Ideally open to working in Eastern or Central time zone.

🏖️ Benefits

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