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Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Write a query to randomly sample a row from a big table.

Random SQL Sample

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

Qventus Salaries by Position

<h3>Job Description</h3><div>Job Description<div>On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. As a Data Lead at Qventus, you will straddle software engineering, data platform pipeline & architecture, and data science to power advanced Gen AI-based solutions. You will have a strong product mindset when it comes to data and drive key decision-making that balances speed, ease of use, and stability to ensure successful product development, both long and short-term.  You will design, implement, and lead the development of scalable and efficient batch & streaming pipelines. You will collaborate with data experts across the organization to ensure our core Data Platform architecture vision & roadmap serves the needs of the Gen AI and associated products. You should be strongly motivated to have an impact in the company and dedicated to helping improve the quality of healthcare and patient outcomes.  What we do can meaningfully change and, in some cases, save lives.Key Responsibilities:<ul><li>Develop and execute a cohesive data architecture within the AI operational assistant platform, ensuring alignment with the broader data platform and Chief AI Architect’s vision and fostering shared infrastructure and best practices across the organization.</li><li>Align with stakeholders across data, AI, product, and leadership teams on technical designs, upcoming priorities, and dependencies to ensure timely & stable delivery of key initiatives.</li><li>Translate product vision into highly functional data pipelines supporting high quality & highly trusted data products (incl. designing data structures,  building and scheduling data transformation pipelines,  improving transparency etc.).</li><li>Proven ability to independently handle ambiguous requirements and lead data initiatives from start to finish while collaborating extensively with cross-functional, non-technical teams to inform and shape technical development.</li></ul>What We’re Looking For: <ul><li>Excellent cross-functional communication - the ability to break down complex technical components & drive technical decision-making across cross-functional teams</li><li>Mastery in quality data modeling & data pipeline design, development, and optimization on both batch & streaming systems to create reliable, modular, secure data foundations</li><li>Practical hands-on experience with various data platforms & technologies (Databricks, Snowflake, DBT, Spark, AWS ecosystem) and utilizing experience to drive technology changes to maximize performance while balancing system complexity.</li><li>Proficiency in microservices & event-driven architecture (AWS Lambda, Fargate, Kafka).</li><li>Strong software development foundations - dedication to high code quality, stable architecture, and an eye toward maintainability</li><li>Familiarity with MLOps, LLMOps, and the lifecycle of AI/ML model development; Hands-on experience working with Data Scientists to operationalize AI/ML services.</li></ul>It’s a Plus if You Have… <ul><li>Proven experience in leading and mentoring technical teams, with a focus on both technical & soft skill development and project management.</li><li>Understanding of agentic workflows and finite state machines</li><li>Experience with healthcare data and industry</li><li>Strong understanding of Object-Oriented Programming and design patterns.</li><li>Master’s degree in Computer Science, Engineering, or related field, or equivalent training/experience</li></ul>The salary range for this role is $170,000 to $220,000. Qventus salary bands represent market data across different geographies. We consider several factors when determining compensation, including location, skills and qualifications, and prior relevant experience. Salary is just one component of Qventus’ total package. Some of our key benefits and perks* include but are not limited to Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, generous employee referral bonuses, and employee stock option awards. We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable for using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Candidate information will be treated in accordance with our candidate privacy notice, which can be found here: https://qventus.com/ccpa-privacy-notice/Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.*Benefits and perks are subject to plan documents and may change at the company's discretion. </div></div>

<h3>Job Description</h3><div>Job Description<div>On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. As a Senior Data Scientist / LLM Engineer at Qventus, you will have the opportunity to explore Qventus’ unique and rich healthcare dataset to develop cutting-edge solutions that leverage a wide range of machine learning, statistical, and other mathematical optimizations. You will evaluate potential modeling approaches, build features, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML & LLM solutions to boost Qventus intelligence and outcomes. You should be strongly motivated to have an impact in the company and dedicated to helping improve the quality of healthcare and patient outcomes. What we do can meaningfully change and, in some cases, save lives.Key Responsibilities:<ul><li>Solve operational challenges in healthcare through the development, operationalization, and tuning of impactful models developed thoughtfully using a variety of machine learning, LLM, mathematical, and statistical approaches</li><li>Collaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areas</li><li>Design comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settings</li><li>Create tools and resources to improve transparency in Data Science technical architecture and increase collaboration with engineering and analytics partners</li></ul>What We’re Looking For: <ul><li>3+ years of research experience using a wide variety of statistical and machine learning techniques - particularly in NLP, explainable ML (Python)</li><li>2+ years of relative industry experience developing, launching, and maintaining machine learning systems at scale</li><li>1+ years experience developing and tuning LLM systems (strong experience with RAG preferred)</li><li>Strong cross-functional communication with technical and non-technical partners</li><li>Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines (SQL, Python)</li><li>Strong software development foundations - dedication to high code quality, stable architecture, and an eye toward maintainability</li></ul>It’s a Plus if You Have… <ul><li>Dedication to mentorship and growing strong collaborative data science teams</li><li>Exposure to agent-based GenAI frameworks</li><li>Proven ability to work with domain experts to design relevant features and design, develop and tailor algorithmic solutions to problems in healthcare, particularly in the hospital setting</li><li>Experience with healthcare data and industry</li><li>Practical hands-on experience with Databricks; Exposure to a broad ecosystem of data platform technologies such as AWS Services (RDS, ECS/EKS, Lambda, S3), DBT, Snowflake, Databricks</li><li>Master’s degree in Computer Science, Engineering, or related field, or equivalent training/experience</li></ul>The salary range for this role is $150,000 to $180,000. Qventus salary bands represent market data across different geographies. We consider several factors when determining compensation, including location, skills and qualifications, and prior relevant experience. Salary is just one component of Qventus’ total package. Some of our key benefits and perks* include but are not limited to: Open Paid Time Off, paid parental leave, professional development, wellness, and technology stipends, generous employee referral bonus, and employee stock option awards. We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.*Benefits and perks are subject to plan documents and may change at the company's discretion. </div></div>

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