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<p>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.</p>

<p>How would you assess the validity of the result?</p>


Experiment Validity

<p>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.</p>

<p>Write a query to randomly sample a row from this table.</p>

<p><strong>Input:</strong></p>

<p><code>big_table</code> table</p>

<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

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


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

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?

Cypress Hcm Salaries by Position

<h3>Job Description</h3><div>Job Description<div><div></div><div><br /></div><div><strong>iOS Software Engineer</strong></div><div><strong> </strong></div><div><strong>Description:</strong></div><ul><li>As an Engineer on the Users, Listings & Platform Client Engineering team you’ll be collaborating with us to define, build and shape the future of Users and Listings related product flows. </li><li>The team is highly collaborative with its partners in design, product, data science, legal, and marketing to deliver features and experiences used by millions of people.</li><li>We work closely with other engineering teams to ensure we build systems that are performant and configurable with architecture that's scalable and robust.</li></ul><div><strong> </strong></div><div><strong>Duties:</strong></div><ul><li>Work with our engineering team to update our software to modern technology stack, resolve issues, and ensure robust systems with our testing frameworks.</li></ul><div></div><div><strong>Requirements:</strong></div><ul><li>4+ years of experience in iOS product development</li><li>Experience building consumer iOS applications, preferably using Swift</li><li>Experience working with GraphQL and REST APIs</li><li>Collaborating via code reviews and architecture discussions</li><li>Strong product sense and a passion for UX product development</li><li>Demonstrated ability to collaborate with Product Management, Design, and other iOS, Android, and Web Engineers</li><li>Bachelor’s and/or Master’s degree, preferably in CS prefferred but not required if they have applicable industry experience</li></ul><div><strong> </strong></div><div><strong>Compensation:</strong></div><ul><li>$67-72.41/hr W-2</li></ul><div></div><div>Req: 33275748</div><div></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><strong>Data Architect - AWS</strong></div><div></div><div><strong>Location</strong><strong>: </strong>Atlanta, GA 30342</div><div><strong>Remote: </strong>Hybrid remote, 3 days in the office weekly </div><div><strong>Employees</strong><strong>: </strong>5,000 | <strong>Team Size</strong><strong>: </strong>80</div><div><strong>Industry</strong><strong>: </strong>SaaS, FinTech, Payments | <strong>Financial</strong><strong> Information</strong>: $2B+ in revenue for 2023</div><div><strong>Reports To: </strong>Director of Data Engineering </div><div><strong> </strong></div><div><strong>Responsibilities</strong><strong>:</strong></div><ul><li>Architecting scalable, reliable, high-performing data pipelines and analytics systems in AWS</li><li>Developing scalable/efficient data pipelines that ingest, process, and analyze large volumes of data from various sources</li><li>Conducting performance tuning and optimization of data processing workflows, ensuring high availability and reliability</li><li>Optimizing data storage, processing, and retrieval mechanisms for performance/cost-efficiency</li><li>Automating deployment, monitoring, and maintenance tasks using AWS services such as AWS Glue, AWS Lambda, and Amazon EMR</li><li>Collaborating with data scientists, business analysts, and software engineers to understand data requirements </li><li>Implementing best practices for data governance, security, and compliance in alignment with industry standards and regulations</li></ul><div></div><div><strong>Requirements:</strong></div><ul><li>5+ years of experience designing, implementing, and managing data engineering solutions on the AWS platform</li><li>Proven experience as a Data Engineer, Data Architect with a focus on AWS </li><li>Expertise in AWS services such as S3, Glue, EMR, Redshift, Athena, Kinesis</li><li>Strong programming skills with Python, Scala, or Java</li><li>Hands-on experience with big data processing frameworks like Apache Spark, Apache Hadoop</li><li>Experience with SQL and NoSQL databases for data storage and retrieval</li><li>Familiarity with Docker and Kubernetes is preferred</li><li>AWS Certified Solutions Architect or AWS Certified Big Data Specialty certification is preferred</li><li>Experience with DevOps practices and tools for continuous integration and deployment</li><li>Knowledge of machine learning and data science concepts is a preferred</li></ul><div></div><div><strong>Benefits</strong><strong>: </strong>Health, dental, medical plans, strong PTO, life insurance, short/long-term disability, competitive salary, flexible work schedule, tremendous growth opportunities</div><div></div><div><strong>Compensation:</strong></div><ul><li>$130K - $140K + 20% Bonus</li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div><div></div><div><br /></div><div><strong>Android Software Engineer</strong></div><div><strong> </strong></div><div><strong>Description:</strong></div><ul><li>As an Engineer on the Users, Listings & Platform Client Engineering team you’ll be collaborating with us to define, build and shape the future of Users and Listings related product flows. </li><li>The team is highly collaborative with its partners in design, product, data science, legal, and marketing to deliver features and experiences used by millions of people.</li><li>We work closely with other engineering teams to ensure we build systems that are performant and configurable with architecture that's scalable and robust.</li></ul><div><strong> </strong></div><div><strong>Duties:</strong></div><ul><li>Work with our engineering team to update our software to modern technology stack, resolve issues, and ensure robust systems with our testing frameworks.</li></ul><div></div><div><strong>Requirements:</strong></div><ul><li>4+ years of experience in Android product development</li><li>Experience building consumer Android applications, preferably using Kotlin and Jetpack Compose</li><li>Experience working with GraphQL and REST APIs</li><li>Collaborating via code reviews and architecture discussions</li><li>Strong product sense and a passion for UX product development</li><li>Demonstrated ability to collaborate with Product Management, Design, and other iOS, Android, and Web Engineers</li><li>Education: Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience</li></ul><div></div><div><strong>Compensation:</strong></div><ul><li>$67-72.41/hr W-2</li></ul><div></div><div>Req: 33072735</div></div></div>

<p>Duties:
Design and develop test plans, test cases and test scripts to validate Enterprise and Datacenter class NVMe SSD products.
Work with Architecture, Design, Hardware and Firmware engineering teams to build and execute SSD validation test cases, triage failures, and drive it to resolution.
Analyze project requirements and technical specifications for Non-Volatile Memory Express (NVMe) SSDs.
Troubleshoot SSD and software integration issues, implement systematic approaches to reproduce and root cause the problem.
Own development of test sequences and libraries to validate SSD.
Review current test plans, coverage and testing activities to drive both increased effectiveness and efficiencies across the product portfolio.
Recommend and instrument new validation approaches that drive better end-to-end coverage, more accurate testing and expanded testing services.
Plan test schedules or strategies in accordance with project scope and delivery dates.
Be able to demonstrate success in communicating status, issues, concerns, strategies of programs and projects - including development of appropriate indicators.
Must be able to deal with ambiguity and operate with little direction to meet defined goals

Requirements:
Bachelor’s or Master’s degree in Computer Science or Electrical Engineering
5+ years of experience
Understanding of black box test methods for Enterprise / Datacenter SSD Firmware is strong plus.
Good hands on experience in debugging NVMe Protocol issues using Lecroy/SerialTek analyzers is highly desired.
Integrate tests into an automated test environment and collaborate with test execution teams to drive validation plans/strategy.
Good Knowledge of coding in Python and Linux operating system.
Effective oral and written communication with strong analytical, problem solving, and project management skills
Demonstrated ability to work well with others and collaborate effectively in a team environment

Compensation:
40-45/hr W-2

JP 2178</p>

<h3>Job Description</h3><div>Job Description<div><div><br /></div><div><strong>Data Analyst 3</strong></div><div><strong> </strong></div><div><strong>Position Overview</strong></div><ul><li>We are seeking a Senior Data Analyst who is passionate about using big data to enhance customer experiences and inform business decisions. This role involves deep dive analysis into customer behavior, hypothesis formulation, rigorous experimentation, and collaboration across various teams to drive growth and improve user experiences on our platforms.</li></ul><div><strong>Key Responsibilities</strong></div><ul><li>Utilize clickstream and transactional data to gain insights into the customer journey.</li><li>Develop hypotheses to identify and resolve user experience bottlenecks.</li><li>Collaborate with engineering, product, and UX teams to ensure accurate analytics instrumentation and telemetry.</li><li>Provide requirements and assist in the design, setup, analysis, and recommendations for A/B testing.</li><li>Create compelling narratives that effectively communicate insights to internal stakeholders, including non-technical and executive audiences.</li><li>Partner with cross-functional teams (Engagement & Retention, Data Science, Finance, Engineering, Product, Marketing) to drive growth across our product offerings.</li><li>Apply statistical and data science models to understand the full customer journey from acquisition to retention.</li><li>Utilize data visualization tools (Power BI, Tableau) for descriptive and diagnostic analysis.</li></ul><div><strong>Qualifications</strong></div><ul><li>4 to 6 years of experience in data/business analysis or a related field.</li><li>Bachelor's degree in Actuarial Science, Statistics, Mathematics, Economics, Computer Science, or another quantitative field (Master’s preferred).</li><li>Strong proficiency in SQL-like languages for data querying and manipulation (Hive/Hadoop experience preferred).</li><li>2-3 years of experience with A/B testing.</li><li>Familiarity with clickstream data and big data platforms (e.g., Hadoop).</li><li>Experience with programming languages such as Python and R.</li><li>Proficiency with data visualization tools (Tableau, Power BI).</li><li>Expertise in statistical modeling using Microsoft Excel or Power Pivot.</li><li>Knowledge of statistical modeling, machine learning, or data mining concepts.</li><li>Excellent communication skills and ability to work effectively in a team.</li></ul><div><strong>Preferred Skills</strong></div><ul><li>Experience with transactional data analysis.</li><li>Background in finance or business operations.</li><li>Familiarity with user experience and design testing.</li><li>Knowledge of telemetry and instrumentation.</li></ul><div><strong> </strong></div><div><strong>Logistics</strong></div><ul><li>Start Date: 10/15/2024</li><li>End Date: 10/14/2025</li><li>Location: Hybrid (2-3 days per week in the office); Not open to fully remote candidates</li><li>Hours: 40 hours per week, 8 hours per day</li><li>This role offers a unique opportunity to drive meaningful impact by leveraging data to shape customer experiences. If you are a proactive analyst with a passion for data-driven decision-making, we encourage you to apply.</li></ul><div><strong>Compensation: </strong></div><ul><li>Up to $66.90/hr. (W2/Non-Exempt)</li></ul><div>#33814220</div><div></div><div></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div></div><div> Sustainability Data Analyst</div><div><strong>Responsibilities</strong></div><ul><li>Manage and support sustainability projects</li><li>Develop and implement data models and dashboards</li><li>Integrate software for emissions modeling, asset management, and compliance</li><li>Develop and execute emissions reduction strategies</li><li>Create and manage GHG inventories, including reporting and assurance</li><li>Develop and implement corporate ESG strategy</li><li>Conduct scenario analysis for sustainability strategies</li><li>Analyze regulatory compliance at state, local, and federal levels</li><li>Mentor team members on data management</li><li>Develop internal data management tools and templates</li><li>Drive innovation within Sustainability services</li></ul><div><strong>Qualifications</strong></div><ul><li>Bachelor's degree in Environmental Science, Public Policy, or related field</li><li>3-5 years of consulting or technical software development experience</li><li>Strong analytical and problem-solving skills</li><li>Excellent written and verbal communication</li><li>Proficiency in data analysis, software applications, and project management</li></ul><div></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><br /></div><div><strong>Lead </strong><strong>Machine Learning Engineer</strong></div><div></div><div>This is an exciting opportunity to join a cutting-edge Digital Communications and Data Intelligence company. This role will be part of the product development team, building analytic services using models built by data science teams. The Lead ML Engineer will work cross-functionality with other core groups and drive the implementation of an advanced analytics SaaS products.</div><div></div><div><strong>Responsibilities:</strong></div><ul><li>Collaborate with cross-functional teams to develop intricate solutions and integrate multiple software products to address high-level challenges.</li><li>Serve as a subject matter expert in machine learning and fintech domains</li><li>Provide technical leadership, insights, and guidance to internal teams and partners</li><li>Assess the advantages and disadvantages of various solutions and recommend the optimal approach.</li><li>Work closely with Product Management and engineering teams to define and implement features in a fast-paced environment, ensuring quality, scalability, and maintainability.</li><li>Simplify complex technical solutions into easy-to-understand abstractions.</li><li>Work with Engineers and Product Managers to provide influence on product designs.</li><li>Investigate and resolve complex bugs, performance issues, security concerns, and scalability challenges.</li><li>Actively participate in troubleshooting and resolving production issues in accordance with the incident management process.</li><li>Provide technical guidance and mentorship to team members</li><li>Identify recurring issues and proactively implement measures to tackle their underlying causes</li><li>Engage in both internal and external code reviews, offering feedback to foster ongoing enhancements</li><li>Advocate for, establish, and uphold best practices within the team</li><li>Take an active role in team agile ceremonies, contributing valuable insights and inputs</li></ul><div></div><div><strong> </strong><strong>Requirements and Desired Experience:</strong></div><ul><li>Experience with Java Virtual Machine (JVM) language, (i.e Kotlin, Scala) as well as Python development experience</li><li>Experience in Natural Language Processing, Machine Learning Ops and data pipelines</li><li>Experience with ML <span class="long-word">frameworks/libraries</span> like PyTorch, scikit-learn, TensorFlow, etc.</li><li>Strong understanding of ML Algorithms, data analysis methodologies and Statistical techniques</li><li>Possess a product mindset while being aware of and addressing both customer challenges and business objectives </li><li>Experience with Model Servers like TensorFlow Serving, TensorFlow Extended (TFX), NVIDIA Triton Inference server</li><li>Experience working in AI/ML based analytics products</li><li>Experience with Data processing, feature engineering and model evaluation techniques.</li><li>Experience with cloud platforms; Amazon Web Services and/or Google Cloud</li><li>Proficient in containerized platforms like Amazon ECS, Helm, Docker and Kubernetes</li><li>Experience with Amazon Sagemaker and Jupyter Notebooks</li><li>Experience with Continuous <span class="long-word">Integration/Continuous</span> Deployment (CI/CD) tools</li><li>Exposure to and experience building Machine Learning applications and services with cloud scalability</li><li>Experience with RDBMS (i.e. MySQL & Postgres) as well Kafka</li><li>Experience with microservices & event-driven architecture</li><li>Experience with monitoring and visualization tools, specifically Prometheus & Grafana</li><li>Proficient in API design and experience working with distributed systems</li><li>Expert programming skills with a strong analytical, problem-solving mindset</li><li>Strong organizational, communication and collaboration skills</li></ul><div><strong> </strong></div><div><strong> </strong></div><div><strong>Compensation:</strong> $150k - $165k annual salary </div></div></div>

<p><strong><u>Sr. Embedded Engineer</u></strong></p><p><strong>Location: </strong>Belmont, CA</p><p><strong>Hybrid Onsite</strong></p><p><strong>Employees: </strong><50</p><p><strong>Industry: </strong>Wireless services</p><p><strong>Position Reporting To: </strong>CTO</p><p><br></p><p>Dynamic Bay Area startup is seeking a Senior Embedded Software Engineer to develop groundbreaking solutions for 3D positioning using RF. We are seeking an Engineer with extensive experience in building high-performance software for embedded and IoT devices. You will play a key role in designing and developing software for advanced 3D positioning systems.</p><p><br></p><p><strong>Most Important Responsibilities:</strong></p><ul><li>Design, code, and optimize software for IoT devices focused on 3D indoor positioning.</li><li>Develop algorithms leveraging peripheral I/O components like accelerometers to enhance positioning accuracy.</li><li>Implement software for device provisioning, diagnostics, and telemetry.</li><li>Partner with hardware engineers to test, validate, and prototype new hardware functionality.</li><li>Propose with hardware engineers to test, validate, and prototype new hardware functionalities.</li><li>Propose and champion improvements to development processes, system cost reductions, and quality enhancements.</li><li>Take ownership of projects from initial concept through development.</li><li>Thrive in a growth-oriented environment that supports professional development.</li></ul><p><br></p><p><strong>What you can bring to the table to impact this role, team, and organization:</strong></p><ul><li>7+ years of experience in embedded software engineering</li><li>Bachelor’s degree in Computer Science, Electrical Engineering, or related field</li><li>Proficiency in C/C++ and Python; familiarity with additional languages such as Rust is a plus.</li><li>Hands-on experience with embedded TROS platforms, experience with bare-metal systems is a plus.</li><li>Knowledge of microcontroller peripherals (SPI, UART, I2C, JTAG) and experience with device drivers and communication protocols.</li><li>Strong interpersonal skills and appreciation for collaboration within a startup setting.</li><li>Experience with ISM band wireless devices and Linux-based test scripts.</li><li>Proficiency with JTAG, logic analyzers, oscilloscopes, and other hardware development tools.</li><li>Experience in securing IoT devices (e.g., flash encryption, code signing, secure-JTAG).</li><li>Strong debugging and analytical skills, with experience in board bring-up and reading electrical schematics.</li><li>Familiarity with version control systems like GIT.</li></ul><p><br></p><p><strong>Nice-to-Have/Bonus Skills:</strong></p><ul><li>Experience with AWS IoT Core (Authentication, Registry, Shadow, etc.)</li><li>FPGA development skills (VHDL, Verilog)</li><li>Experience with bootloader development (UBoot)</li><li>Experience in developing device drivers.</li></ul><p><br></p><p><strong>Featured Benefits: </strong>Medical, Vision, Dental, Stock Options</p><p><br></p><p><strong>Compensation: </strong>150 – 200K + Stock Options</p><p></p>

<p>We have an exciting opportunity for a Data Analyst 3 with the top leading multimedia and creative software company in the world. </p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><ul><li>Write complex SQL queries that help Adobe XE Organization understand the user behavior with Products.</li><li>Apply your business logic prowess to decipher the Growth and Product aspects. Your strategic thinking is crucial in this process.</li><li>Use Big Data best practices to help scale the analytics and Insights process.</li><li>Create dashboards in Power BI and Tableau, Apply statistical methodologies and data mining skills to large volumes of data, Analyze data, and provide insights to senior executives. </li></ul><p><br></p><p><strong><u>Skills and Experience:</u></strong></p><ul><li>Bachelors in a relevant field with 5-7 years of experience.</li><li>SQL Expertise. Databricks. Python Scripting.</li><li>Create dashboards in Power BI, Tableau, and Excel modeling in Excel. Power Pivot expertise is a must. Understanding of statistics concepts Ability to interpret data and present Excellent written and verbal communication skills. </li></ul><p><br></p><p><strong><u>Compensation:</u></strong></p><ul><li>Up to $62.44 per hour.</li></ul><p><br></p><p>33480539</p>

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