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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

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?

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?

Digital Prospectors Salaries by Position

Position: Data ScientistLocation: Waltham, MA (Remote)Length: 12+ months*W2 Candidates Only Job Description:Our client seeking a highly skilled and motivated Data Scientist to join their team, specializing in predictive modeling and data analysis. The ideal candidate will possess a robust skill set in statistical analysis, data management, and educational data analytics. This role requires a blend of technical expertise, domain-specific knowledge, and exceptional communication skills to provide actionable insights that drive improvements. Essential Duties and Responsibilities (but not limited to):<ul><li>Develop and implement various regression models (linear, logistic, multiple) and other predictive techniques to analyze student success data, forecast outcomes.</li><li>Utilize statistical software (R, SAS, SPSS, Stata, or Python) for data analysis and model development.</li><li>Clean, preprocess, and normalize large datasets, ensuring data accuracy and reliability. Manage data integration from multiple sources using tools such as SQL, Azure Synapse, and Fabric.</li><li>Apply knowledge of educational metrics, student success theories, and data governance to analyze factors influencing student outcomes.</li><li>Ensure compliance with data privacy regulations and ethical standards, including FERPA.</li><li>Use programming languages (Python or R) and machine learning techniques to enhance predictive models.</li><li>Create and present data visualizations using tools like Tableau, Power BI, or ggplot2 in R to effectively communicate findings.</li><li>Prepare and deliver clear reports and presentations for non-technical stakeholders.</li><li>Collaborate with interdisciplinary teams, including educators and administrators, to apply statistical insights and improve student outcomes.</li><li>Manage multiple data analysis projects, including planning, tracking progress, and meeting deadlines.</li><li>Communicate project status and manage stakeholder expectations throughout the project lifecycle.</li><li>Employ strong analytical and critical thinking skills to identify patterns, make data-driven decisions, and develop innovative solutions to enhance student success.</li></ul> Qualifications:<ul><li>Bachelor’s degree or higher in Statistics, Data Science, Educational Data Analytics, or a related field.</li><li>Proven experience in predictive modeling, statistical analysis, and data management within an educational context.</li><li>Proficiency in statistical software (R, SAS, SPSS, Stata) and programming languages (Python or R).</li><li>Strong knowledge of machine learning techniques and data visualization tools.</li><li>Excellent communication and consultative skills, with the ability to convey complex statistical concepts to non-technical audiences.</li><li>Demonstrated ability to work collaboratively with diverse teams and manage multiple projects effectively.</li><li>Knowledge of data privacy regulations, including FERPA, and a strong ethical framework for handling student data.</li></ul> POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment. Make this your next career move as one of our many long-term contractors or employees!<ul><li>Work as our full-time employee with full benefits (Medical, Dental, Vision, Life, STD, LTD, PTO, etc.) - OR - work as a W2 hourly contractor at a higher pay rate if you don't need the benefit package.</li></ul> Come see why DPC has achieved:<ul><li>4.9/5 Star Glassdoor rating and the only staffing company (< 1000 employees) to be voted in the national Top 10 ‘Employee’s Choice - Best Places to Work’ by Glassdoor.</li><li>Voted ‘Best Staffing Firm to Temp/Contract For’ seven times by Staffing Industry Analysts as well as a ‘Best Company to Work For’ by Forbes, Fortune and Inc. magazine.</li></ul> As you are applying, please join us in fostering diversity, equity, and inclusion by completing the Invitation to <a>Self-Identify</a> form today! www.LoveYourJob.com Job #16949

Position: Data ArchitectLocation: Waltham, MA (Remote)Length: 12+ months*W2 Candidates Only Job Description:Our client seeking an experienced Data Architect with deep expertise in Microsoft Fabric and Power BI to join their team. In this role, the Data Architect will be pivotal in designing and deploying enterprise-scale data analytics solutions. The Data Architect will be responsible for creating and managing datasets for Power BI, leveraging Microsoft Fabric components, and implementing best practices in analytics. The Data Architect will ensure data solutions meet business requirements and are optimized for performance, scalability, and security. Essential Duties and Responsibilities (but not limited to):<ul><li>Develop and deploy enterprise-scale data analytics solutions using Microsoft Fabric components (Lakehouses, Data Warehouses, Notebooks, Dataflows, Data Pipelines, Semantic Models, and Reports).</li><li>Create and manage Power BI datasets, ensuring seamless integration with Microsoft Fabric and optimizing data transformation for performance and scalability.</li><li>Implement analytics best practices, including version control, deployment strategies, and CI/CD pipelines within the Microsoft Fabric environment.</li><li>Ensure compliance with data governance, security, and regulatory standards, focusing on protecting sensitive data.</li><li>Partner with Solution Architects, Data Engineers, Data Scientists, AI Engineers, Database Administrators, and Power BI Data Analysts to design integrated data solutions.</li><li>Engage with stakeholders to translate business requirements into effective technical solutions leveraging Microsoft Fabric.</li><li>Apply advanced knowledge of data modeling, transformation, and exploratory analytics.</li><li>Utilize programming skills in SQL, DAX, and PySpark for data transformations and model optimization.</li><li>Manage Git-based source control for analytics assets, ensuring effective version control and collaboration.</li></ul> Qualifications:<ul><li>Proven experience in data architecture and analytics with a focus on Microsoft Fabric and Power BI.</li><li>Strong proficiency in SQL, DAX, PySpark, and other relevant programming languages.</li><li>In-depth knowledge of data modeling, data transformation, and CI/CD practices.</li><li>Excellent communication and collaboration skills, with the ability to work effectively with diverse stakeholders.</li><li>Certifications in Microsoft Fabric or related data analytics technologies are preferred.</li><li>Experience with higher education data systems is a plus.</li></ul> POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment. Make this your next career move as one of our many long-term contractors or employees!<ul><li>Work as our full-time employee with full benefits (Medical, Dental, Vision, Life, STD, LTD, PTO, etc.) - OR - work as a W2 hourly contractor at a higher pay rate if you don't need the benefit package.</li></ul> Come see why DPC has achieved:<ul><li>4.9/5 Star Glassdoor rating and the only staffing company (< 1000 employees) to be voted in the national Top 10 ‘Employee’s Choice - Best Places to Work’ by Glassdoor.</li><li>Voted ‘Best Staffing Firm to Temp/Contract For’ seven times by Staffing Industry Analysts as well as a ‘Best Company to Work For’ by Forbes, Fortune and Inc. magazine.</li></ul> As you are applying, please join us in fostering diversity, equity, and inclusion by completing the Invitation to <a>Self-Identify</a> form today! www.LoveYourJob.com Job #16948

Digital Prospectors Interview Questions

Digital Prospectors Interview Guides

Digital Prospectors Interview Questions

Digital Prospectors Salaries by Position

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