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Evolutioniq Interview Questions

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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 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

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Evolutioniq Salaries by Position

About Us: EvolutionIQ's mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. We're backed by First Round Capital, FirstMark Capital, Foundation Capital, Brewer Lane Ventures, and have been named as Inc.'s top places to work! The Adventure: We're the leading AI Guidance Platform in the insurance industry today, working with some of the largest insurance carriers in the US and expanding globally. We are growing incredibly fast and have a nearly 100% success record in converting pilots to production deployments. We read batch daily data from SQL tables and present them to the user in awesomely intuitive products, which are built on a shared, unified platform. Our engineering culture values simplicity, core engineering principles, quality, honesty, transparency and strong collaboration. In this role you'll have the opportunity to help build key workflows in the system such as rules based engine that will span across all of our products. About You: An ambitious Full Stack Python guru who will be in the driver's seat as we design and deliver the entire customer-facing application layer for our growing line of AI solutions. You thrive on fast, secure, consistent deployments and want to be in the lead thanks to your high degree of ownership and control. Scalability and reliability are hardwired into your DNA. You love defining the standards for a consistent development life cycle. And you're supercharged by reducing friction in the engineering experience, making a fast impact, and having interesting, unsolved problems continually present themselves. In this Role You Will: <ul><li>Build a complex multi-tenant enterprise SaaS application to revolutionize application workflows</li><li>Build and maintain the backend REST server that feeds machine learning data and BI (Business Intelligence) </li><li>Own the entire lifecycle of designing, building and launching enterprise applications</li><li>Work in greenfield projects where you have high levels of ownership</li><li>Work directly with the head of product, the data science team, UX designers, and end users </li><li>Have a key role and ownership in shaping the future of Evolution IQ's products - from technology choices to building the roadmap</li><li>Provide crucial technical expertise, introduce new best practices to the team, drive consistency across all teams, and help prioritize features to increase our client impact</li><li>Continue to grow and learn in the engineering space with a focus on business problems that use large-scale structured and unstructured datasets</li></ul> Requirements: <ul><li>Extensive experience going through the full feature development life cycle: Working with product managers, deciding scope, designing a database schema for representing the data</li><li>5+ years of engineering experience, an expert in Python Development</li><li>Strong Systems Design, and Relational Database experience</li><li>Experience designing, building and launching backend architectures that support multi-tenant, multi-user scenarios</li><li>Ability to remain agile and move between rapid prototyping and stable production development</li><li>Ability to write technical design documents, perform code reviews, and maintain state of the art engineering practices</li><li>You know the critical questions to ask in order to understand a client's business problem and can show the business impact of your technical solutions </li><li>Team player who is solutions-oriented and exudes our ambitious, collaborative, and empathetic values </li><li>You have crisp written and verbal communication skills and the ability to effectively correspond between technical and non-technical audiences</li><li>A self-starter mindset with an eagerness to solve previously unsolved problems</li><li>Excellent collaboration skills and are open to giving and receiving critical feedback across teams</li></ul> Work-life, Culture & Perks: <ul><li>Compensation: The salary range for this role is $175-210K plus equity, with flexibility for the right candidate</li><li>Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%</li><li>Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn</li><li>Office Life: Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup</li><li>Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally</li><li>Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa</li></ul> EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

About Us: EvolutionIQ's mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. We're backed by First Round Capital, FirstMark Capital, Foundation Capital, Brewer Lane Ventures, and have been named as Inc.'s top places to work! Your Impact: We own the entire customer facing application layer. It's where the data team's journey ends, our journey begins. We read batch daily data from SQL tables and present them to the user in awesomely intuitive products. The products are built on a shared, unified platform. Our engineering culture values simplicity, core engineering principles, quality, honesty, transparency and strong collaboration. Our stack is built in React, NodeJS, Python, Okta and Postgres and we run on Google Cloud Platform.If you're excited to work on a fast-moving enterprise engineering team using the latest technologies at high scale, we want to meet you. The Role: We are looking for an experienced Data Engineer who is excited to develop and implement a strong quality and automated testing focused on our data pipelines. You'll be a key contributor to EvolutionIQ's unified claims platform working closely with data science, data engineering teams to build robust, scalable and high quality data pipelines. Must have significant Python experience and feel comfortable independently determining what is happening in a complex system. <ul><li>Create strong development best practices ensuring high quality releases</li><li>Develop data quality checks and maintain pipeline health using Python</li><li>Build and iterate on testing frameworks for continuous testing and delivery</li></ul> This role is intended for a data engineer as this person will eventually be setting the foundation for development best practices and making changes to the pipelines themselves to be more resilient. You will have a key role in shaping the future of Evolution IQ's data pipelines. From technology choices to contributing to the roadmap, you will have a large amount of ownership and scope in this role. The team will look to you to provide crucial technical expertise and help prioritize features. Skill Requirements: The ideal person for this role is an experienced Data Engineer with expertise in data pipeline testing. You should be able to look at a data pipeline and determine what tests we should be using to confirm data quality, consistency, and confidence. In this role you will help ensure the satisfaction of our users by demonstrating that existing and new products meet the highest standards of security, reliability, performance, and user-friendliness. Your job duties will encompass building automation tooling, maintaining and enhancing the test automation framework, optimizing test automation throughout the continuous integration pipeline. <ul><li>Experience with all phases of software testing including test planning, functional testing, regression testing, and designing test architecture</li><li>Experience with test automation of RESTful APIs, databases, and data pipelines</li><li>Significant database experience with a focus on the data quality</li><li>Experience with working in an Agile environment and CI/CD driven testing culture</li><li>Ideally Demonstrates programming skills in Python using PyTest, Jest and DBT</li><li>Understanding of contract testing and the value it can provide</li></ul> Work-life, Culture & Perks: <ul><li>Compensation: The salary range for this role is up to 200K with flexibility, plus meaningful equity plan (stock options)</li><li>Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%</li><li>Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn</li><li>Office Life: Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup</li><li>Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally</li><li>Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa</li></ul> EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

About us: EvolutionIQ's mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. We're backed by First Round Capital, FirstMark Capital, Foundation Capital, Brewer Lane Ventures, and have been named as Inc.'s top places to work! Check out our Before You Apply video interviews with our ML team. The Adventure: We're the leading AI Guidance Platform company in the insurance industry, working with some of the largest insurance companies in the US and expanding globally. We're growing rapidly, having started three years ago, and have grown almost 3x in company size this year alone! We excel at converting pilots to production deployments and have a unicorn path ahead. Our technology has helped tens of thousands of people. We've created a fun, passionate, humorous, friendly, and fiercely driven engineering culture that values delivery and personal impact above everything else. About You: An ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact - and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems - not incremental or marginal improvements - and you're supercharged by having interesting, unsolved problems continually present themselves. For this role we prefer team members work out of our NYC HQ 2-3 days a week with flexibility (hybrid). In this Role, You Will: <ul><li>Build ML models for production use</li><li>Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies</li><li>Suggest and implement new features to improve model performance and business logic</li><li>Translate client business problems into ML problems</li><li>Build scalable machine learning models for claim time series forecasting and NLP text understanding</li><li>Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets</li></ul> Requirements: <ul><li>You are an ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments.</li><li>You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, and strive for scalable technical concepts and solutions.</li><li>You're a team player who is solutions-oriented.</li><li>You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences.</li></ul> Even Better if You Have the following: <ul><li>Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes</li><li>Owned and deployed, and maintained model-serving pipelines in production</li><li>Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns</li><li>Experience with advanced statistical modeling, especially probabilistic programming</li><li>Ambitious, collaborative, and empathetic values </li><li>A work style that is open to giving and receiving critical feedback and collaborating effectively across teams</li></ul> Work-life, Culture & Perks: <ul><li>Compensation: the compensation range for this role is 190-225K (with flexibility) depending on experience, as well as equity plan offered (stock options).</li><li>Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%.</li><li>Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn. We also have a flexible vacation policy.</li><li>Office Life: Ability to work hybrid. Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup.</li><li>Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally</li><li>Sponsorship: We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa.</li></ul> EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

About Us: EvolutionIQ's mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. We're backed by First Round Capital, FirstMark Capital, Foundation Capital, Brewer Lane Ventures, and have been named as Inc.'s top places to work! The Adventure: We're the leading AI Guidance Platform company in the insurance industry today, working with some of the largest insurance companies in the US and expanding globally. We are growing rapidly, having started just four years ago, and have almost tripled our company size this year alone. We excel at converting pilots to production deployments, and we have a unicorn path ahead. Our technology has helped tens of thousands of people. About You: As a data-enthusiast on the team, you serve as the analytics expert for your internal stakeholders, using data & models to help them make better decisions. You thrive in dealing with ambiguous decision-making problems, small & big data modeling and insight generation, both for clients and internal stakeholders. You'll explore and analyze new datasets as we enter new markets and quickly make critical recommendations for your fellow team-mates in Engineering and Product Management. You love diving deep into hard analytical questions, strive in answering ambiguous open ended questions with clear data-driven insights and recommendations. You're supercharged by having interesting, unsolved problems continually present themselves and inform both the technical as well as business side of the business for critical decisions. You demonstrate ownership and leadership to build out the analytical muscle at EvolutionIQ and demonstrate value by clearly shaping the path of new developments and high ROI initiatives. Your Impact: You will work closely with the ML team and Product Managers to improve our team and clients' understanding of claims data; you work closely with business stakeholders to leverage internal data that demonstrates product ROI and give them mission-critical insights to steer the company in new high ROI directions. The ideal candidate will ensure EIQ tells excellent stories through data & modeling that clearly and accurately communicate the impact and ROI of our products internally and externally. Additionally, you will partner with product managers to do rapid iterations on new product ideas, scope the business opportunity of new product features, and measure ROI of ongoing user engagement with a variety of products. What You'll Achieve (Performance Outcomes): <ul><li>Support the decision-making of EvolutionIQ's leadership team in critical recommendations such as which product features we should build as they lead to highest projected ROI or measuring impact of existing product through sophisticated experimental design setups that best leverage the user feedback we have on challenging small data, high variance outcome problems. </li><li>Uncover new product research directions (hypothesis generation) through exploratory data analysis and hypothesis testing. </li><li>Create data insights to win clients by helping define and build the sales & marketing narrative </li> <li>Present results to internal stakeholders as well as our clients in the insurance industry </li><li>Generate meta-analysis across clients to drive product & sales strategies </li><li>Build, own, and standardize client-facing analysis and reporting on existing products across multiple clients and ROI dimensions </li><li>Work closely with the ML team to analyze the impact of modeling results, debug data issues, and communicate findings to colleagues and clients. </li><li>Write efficient and reliable relational database queries, create re-usable dashboards, write design documents, write clean & maintainable code for reproducible analytics via CLI tools, perform code reviews, and maintain state-of-the-art engineering practices. </li><li>Continue to grow and learn in the data & analytics space, focusing on business problems that require making sense of large-scale structured and unstructured datasets. </li><li>Oversee the integration of cross-organizational projects, drive improvements and recommendations for your engineering and product counterparts, and define operational goals and objectives. </li><li>Provide direction and accomplish results for business leaders through solving hard measurement problems that impact business bottom line </li> </ul>About You (Key Competencies): <ul> <li>7+ years of data analysis/quantitative experience, preferably within Machine Learning and Product environments </li><li>At least 2 years experience in mentoring or tech-leading junior analysts and business-critical analytics projects </li><li>Masters degree in statistics or equivalent quantitative field with strong focus on applied, data-driven solutions. </li><li>Sophisticated knowledge of statistics, linear & non-parametric modeling, and advanced SQL engineering experience. </li> <li>Designed, implemented, and analyzed A/B or multi-arm experiments with clear recommendations for product direction & development. </li><li>Proficient in the use of Python, pandas, Jupyter notebooks, and SQL-based analytics dashboards (e.g., Google's DataStudio / Looker or Tableau), and familiarity with standard statistical packages and visualization tools in Python. </li> <li>Skilled data illustrator who makes market-ready graphs, slides, figures, and presentations </li><li>Excellent communication, storytelling, and presentation skills </li><li>Proven understanding of Product and Business analytics, fundamentals, and processes </li><li>Proven ability to synthesize data insights into actionable recommendations </li><li>Proven ability to handle large datasets via SQL and/or map-reduce analytics and data aggregation as needed. </li></ul>Even Better if You Have: <ul> <li>PhD in statistics or related quantitative field with strong focus on applied, data-driven solutions. </li><li>Experience in Bayesian statistics and causal inference methods </li><li>Written production quality code for reproducible analytics pipelines </li></ul>Work-life, Culture & Perks: <ul> <li>Compensation: The salary range is 200-250K, depending on a candidate's background and experience </li><li>Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2% </li><li>Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn </li><li>Office Life: Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup </li><li>Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally </li><li>Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa </li></ul> EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

About us: EvolutionIQ's mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. We're backed by First Round Capital, FirstMark Capital, Foundation Capital, Brewer Lane Ventures, and have been named as Inc.'s top places to work! Your Impact: This Senior Engineering Manager will be responsible for overseeing a team of Product Engineers. The role requires strong technical expertise, leadership skills, and the ability to work collaboratively across Engineering teams, Product, and other functions. Key Responsibilities: <ul> <li>Manage and lead the team, define the strategic direction of our product engineering team in alignment with the company's overall technology and Product strategy. </li><li>Maintain a hands-on approach and willingness to stay connected with the code by regularly contributing to the codebase with small fixes and enhancements </li><li>Collaborate closely with other engineering teams, product managers, and stakeholders to understand their needs, translate them into technical requirements, and support your team's execution </li><li>Foster a culture of continuous learning, caring, and improvement within the team and in the broader engineering organization, promoting the adoption of best practices in code quality, testing, and maintainability. </li><li>Implement and manage robust security protocols to protect our platforms and data. </li><li>Lead recruitment, mentoring, and professional development initiatives within the team, fostering a culture of excellence and high performance. </li><li>Continually evaluate emerging technologies and industry trends, assessing their potential application to our organization. </li></ul>Qualifications: <ul> <li>7-10+ years of experience leading engineering teams, managing managers is a plus </li><li>Technical expertise training and deploying highly scalable ML models </li><li>Strong understanding of data science and statistics </li><li>Proven track record of successfully translating client business problems into ML problems </li><li>Proven track record of successfully implementing new technologies within organizations </li><li>Bachelor's degree in Computer Science or related field preferred </li></ul>Work-life, Culture & Perks: <ul> <li>Compensation: competitive salary (the range for this role is 250K-275K) with flexibility, as well as a meaningful equity plan offered (stock options) </li><li>Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2% </li><li>Work/Life Balance: For this role we are hoping this person can work out of the NYC office regularly with much of our leadership with flexibility. </li><li>Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn </li><li>Office Life: Hybrid schedule, catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup </li><li>Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally </li><li>Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa </li></ul> EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

Evolutioniq Interview Questions

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Evolutioniq Interview Questions

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