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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

A place for mom Salaries by Position

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 Data Scientist, Data Science, Scientist, Machine Learning, Business, Analytics, Technology

Company Description About A Place for Mom We're the leading online platform connecting families searching for senior care with a team of experienced local advisors providing insight-driven, personalized solutions. As the nation's most trusted senior advisory service, we are a mission-based organization that enables caregivers to make the best senior living decisions for their loved ones. With hundreds of senior living experts nationwide, A Place for Mom helps hundreds of thousands of families each year simplify the process of finding the right senior care solution across home care, independent living, memory care, assisted living, and more. Our services are offered at no cost to families as we're paid by the 14K+ communities and 3K+ providers in our network. A Place for Mom is committed to fostering, cultivating, and preserving a culture of diversity, equity, and inclusion. Employees who thrive at A Place for Mom live our values every day: <ul> <li>Focus on excellence </li><li>Act with integrity and assume positive intent </li><li>Drive outcomes every day with passion and a sense of mission </li><li>Make the lives of our families and customers better, easier and more successful </li><li>Realize the full potential in each team memberwork as a single supportive team </li></ul>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 <ul> <li>Maintain and manage legacy machine learning models. </li><li>Develop, enhance, and test new machine learning models to support business growth initiatives. </li><li>Conduct deep dive analysis and identify variance drivers. </li><li>Evaluate model performance and monitor for drift. </li><li>Implement thorough testing and evaluation to ensure model and code quality. </li></ul>Data Analysis and Visualization <ul> <li>Create dashboards and visualizations to communicate insights. </li><li>Provide clear and actionable reporting for stakeholders. </li><li>Handle ad-hoc analytics requests to support business decisions. </li><li>Perform exploratory data analysis to uncover trends and patterns. </li><li>Ensure data quality through rigorous data collection, cleaning, and preprocessing. </li></ul>Collaboration and Communication <ul> <li>Work closely with product, engineering, and business stakeholders to understand requirements, provide data-driven recommendations, and influence strategy. </li><li>Collaborate with cross-functional teams to advance data and analytics capabilities. </li><li>Identify opportunities to enhance data modeling and testing platforms. </li><li>Communicate the value of data analytics to non-technical teams and guide them in applying insights. </li></ul>Qualifications <ul> <li>Educational Background: Degree in Computer Science, Data Science, Statistics, or a related quantitative field. </li><li>Experience: 6+ years of experience in data science/analytics roles, with a minimum of 3+ years focused on data science/machine learning modeling. </li><li>Technical Skills: <ul><li>Strong proficiency in Python, PySpark, and SQL for machine learning, data exploration, and analysis. </li><li>Basic understanding of R. </li><li>Familiarity with machine learning libraries and frameworks, including pandas, NumPy, seaborn, matplotlib, MLFlow, scikit-learn, TensorFlow, and PyTorch. </li></ul> </li><li>Data Handling: Experience working with large, semi-structured datasets. </li><li>Modeling Expertise: Proven experience in predictive modeling, machine learning techniques, and developing robust data science models. </li><li>Communication: Ability to simplify and communicate complex data and advanced analytics to stakeholders in an actionable manner. </li><li>Statistical Proficiency: Proficiency in A/B testing and strong knowledge of Bayesian and frequentist statistics, including concepts such as correlation, regression, and hypothesis testing. </li><li>Ideally open to working in Eastern or Central time zone. </li> </ul>Preferred Qualifications <ul> <li>Experience building models and developing solutions for Lead Scoring, Multi-Touch Attribution (MTA), and Marketing Media Mix Modeling (MMM). </li><li>Knowledge of visualization tools such as Tableau/PowerBI. </li><li>Experience working with data lakes and Databricks platform. </li><li>Familiarity with version control systems like Git. </li></ul>#LI-AR1 #LI-REMOTE Compensation <ul> <li>Base Salary Range - $100,000 - $130,000 </li><li>Bonus - 10% of annual earnings </li><li>Benefits: <ul><li>401(k) plus match </li><li>Dental insurance </li><li>Health insurance </li><li>Vision Insurance </li><li>Paid Time Off </li></ul> </li></ul> Additional Information 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 www.dhs.gov/E-Verify

A place for mom Interview Questions

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A place for mom Interview Questions

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