Sr. Data Scientist

Company Description

About A Place for Mom:

A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation’s largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion.

Our employees live the company values every day:

• Mission Over Me : We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.
• Do Hard Things : We are energized by solving challenging problems and see it as an opportunity to grow.
• Drive Outcomes as a Team : We each own the outcome but can only achieve it as a team.
• Win The Right Way : We see organizational integrity as the foundation for how we operate.
• Embrace Change : We innovate and constantly evolve.

Job Description

As a Sr. Data Scientist, you will leverage advanced analytics and machine learning techniques to solve complex problems and provide actionable insights. You will work closely with cross-functional teams to influence business strategy and drive growth. You will lead efforts in developing models, analyzing large datasets, and communicating findings to stakeholders.

Who you are:

The ideal candidate is passionate about transforming data into knowledge, leveraging data science skills for solving complex business problems to drive business action. You are comfortable, confident and energized operating in a rapidly changing environment, work well cross-functionally and communicate clearly. And, you are passionate about the families and communities we serve.

Key Responsibilities

Data Science/Machine Learning Model Management and Development

• 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.

Data Analysis and Visualization

• 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.

Collaboration and Communication

• 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.

Qualifications

• Educational Background : Degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• Experience : 6+ years of experience in data science/analytics roles, with a minimum of 3+ years focused on data science/machine learning modeling.
• Technical Skills :
• • 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.
• Data Handling : Experience working with large, semi-structured datasets.
• Modeling Expertise : Proven experience in predictive modeling, machine learning techniques, and developing robust data science models.
• Communication : Ability to simplify and communicate complex data and advanced analytics to stakeholders in an actionable manner.
• Statistical Proficiency : 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.

Preferred Qualifications

• Knowledge of visualization tools such as Tableau/PowerBI.
• Experience working with data lakes and Databricks platform.
• Familiarity with version control systems like Git.

#LI-KT1

#LI-REMOTE

Compensation

• Base Salary Range - $115,000 - $125,000
• Bonus - 10% of annual earnings
• Benefits:
  • 401(k) plus match
  • Dental insurance
  • Health insurance
  • Vision Insurance
  • Paid Time Off

Additional Information

A Place for Mom has recently become aware of the fraudulent use of our name on job postings and via recruiting emails that are illegitimate and not in any way associated with us. APFM will never ask you to provide sensitive personal information as part of the recruiting process, such as your social security number; send you any unsolicited job offers or employment contracts; require any fees, payments, or access to financial accounts; and/or extend an offer without conducting an interview.

If you suspect you are being scammed or have been scammed online, you may report the crime to the Federal Bureau of Investigation and obtain more information regarding online scams at the Federal Trade Commission.

All your information will be kept confidential according to EEO guidelines.

A Place for Mom uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit .