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Penn Interactive Ventures (Piv) Interview Questions

penn interactive ventures (piv) is the igaming division of penn national gaming, inc. (nasdaq:penn a fortune 500 company). piv operates out of three offices: las vegas, san francisco, and conshohocken, a suburb of philadelphia. piv publishes, markets, and manages a portfolio of innovative desktop and mobile igaming products, including viva slots vegas (classic slot machine game), downtown deluxe (slot machine game), hollywood casino (real casino slot machine game), hollywood races (real money horse betting and wagering) and jackpot races (a fun, fast, simple way to wager on horse races online).

penn interactive ventures (piv) is the igaming division of penn national gaming, inc. (nasdaq:penn a fortune 500 company). piv operates out of three offices: las vegas, san francisco, and conshohocken, a suburb of philadelphia. piv publishes, markets, and manages a portfolio of innovative desktop and mobile igaming products, including viva slots vegas (classic slot machine game), downtown deluxe (slot machine game), hollywood casino (real casino slot machine game), hollywood races (real money horse betting and wagering) and jackpot races (a fun, fast, simple way to wager on horse races online).

Overview

Penn Interactive Ventures (Piv) Interview Guides

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

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?

Penn Interactive Ventures (Piv) Salaries by Position

Penn Interactive (PI) is an interactive gaming company headquartered in Philadelphia. PI is the digital arm of PENN Entertainment (NASDAQ: PENN), the largest regional casino operator in the U.S.). Our mission is to challenge the norms of the gaming industry by building an immersive interactive gaming experience that is responsible, innovative, and fun. We are committed to helping our team members grow and succeed. We believe that hiring talented individuals that love what they do will help us win! About the Role & Team As part of the theScore Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, Analysts, and Data Scientists determined to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. You'll work hand in hand with the ML, Analytics, and Reporting teams to develop and maintain data pipelines & internally developed tools to improve workflows and automate processes wherever possible. The ideal candidate has a passion for data, a strong background in data engineering, database management & computer science. An interest in professional sports, betting and/or eSports is a plus. About the Work As a key member of our Data Engineering team you will: <ul><li>Collaborate with Data Science, Reporting, Analytics and other engineering teams to build data pipelines, infrastructure and tooling to support business initiatives</li><li>Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture</li><li>Collaborate with the team to meet performance, scalability, and reliability goals</li><li>Write out tests and thorough documentation for processes and tooling</li><li>Adapt to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team</li><li>Maintain and expand existing systems, tooling and infrastructure</li><li>Maintain streaming pipelines that ingest near-real time data</li><li>Take ownership of projects, plan and collaborate with other members of the Analytics and Reporting teams or others within the company</li><li>Other duties as required</li></ul> About You <ul><li>A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design</li><li>7+ years of experience in data or software engineering</li><li>Strong knowledge of Python or Java</li><li>Strong knowledge of relational databases and SQL</li><li>Strong knowledge of streaming technologies, such as Kafka, Spark, Flink and Beam</li><li>Experience with Docker and Kubernetes</li><li>Experience building out a scalable infrastructure to fit the needs of a growing company</li><li>Experience with BigQuery, Redshift or other SQL-based data warehouses</li><li>Experience with at least one major cloud platform (GCP, AWS, Azure)</li><li>Experience with testing frameworks such as Pytest, PyUnit, Junit, Mockito</li><li>Experience with RESTful API development</li><li>Strong organization and collaboration skills</li><li>Excellent written and oral communications skills</li><li>NICE TO HAVE: Experience working with Data Scientists or deploying machine learning models</li></ul> What We Offer <ul><li>Competitive compensation package</li><li>Fun, relaxed work environment</li><li>Education and conference reimbursements.</li><li>Parental leave top up</li><li>Opportunities for career progression and mentoring others</li></ul> #LI-HYBRID #LI-REMOTE Check out our LinkedIn page! Recently being recognized as a top workplace in the United States, we believe people work their best when they can be themselves. We are looking for hungry, innovative thinkers to help us challenge the status quo of the gaming industry. Diversity, equity, and inclusion are vital to all of our processes, programs, and structures. Your story, who you are, and your experience matter here.

Penn Interactive (PI) is an interactive gaming company headquartered in Philadelphia. PI is the digital arm of PENN Entertainment (NASDAQ: PENN), the largest regional casino operator in the U.S.). Our mission is to challenge the norms of the gaming industry by building an immersive interactive gaming experience that is responsible, innovative, and fun. We are committed to helping our team members grow and succeed. We believe that hiring talented individuals that love what they do will help us win! About the Role & Team As part of the Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, ML Engineers, and Data Scientists determined to develop high-quality data products that power core features of our app. The ideal candidate has a passion for data, a strong background in computer science with recent experience as a data engineer or software engineer. An interest in professional sports, betting and/or eSports is a plus. About the Work As a key member of our Data Engineering team you will: <ul><li>Develop event-driven distributed systems that process large amounts of data and integrate with downstream back end services</li><li>Build internal tools and libraries to help accelerate other backend teams</li><li>Build streaming data pipelines</li><li>Work with data science and data engineering teams to build best-in-class SDLC processes</li><li>Oversee the design and maintenance of data systems and contribute to the continual enhancement of the data platform</li><li>Collaborate with the team to define, track, and meet SLOs</li><li>Maintain and expand existing systems, tooling and infrastructure</li><li>Other duties as required.</li></ul> About You <ul><li>A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design</li><li>6+ years of experience in data engineering or software engineering</li><li>Strong knowledge of Java, Java frameworks (Springboot or Quarkus), Design Patterns and Domain Driven Design</li><li>Passionate about clean code architecture and software craftsmanship.</li><li>Have built distributed systems to solve complex problems over very large datasets</li><li>Experience with Kafka, Pub/Sub, or some other streaming platform</li><li>Strong knowledge of tools like Airflow to orchestrate data pipelines</li><li>Familiarity with Docker and Kubernetes</li><li>Experience with at least one major cloud platform (AWS, GCP, Azure)</li><li>Strong organization and collaboration skills</li><li>Excellent written and oral communications skills.</li><li>Nice to have: Knowledge of Python, GO, Reactive programming</li></ul> What We Offer <ul><li>Competitive compensation package</li><li>Fun, relaxed work environment</li><li>Education and conference reimbursements.</li><li>Parental leave top up</li><li>Opportunities for career progression and mentoring others</li></ul> #LI-Remote #LI-Hybrid Check out our LinkedIn page! Recently being recognized as a top workplace in the United States, we believe people work their best when they can be themselves. We are looking for hungry, innovative thinkers to help us challenge the status quo of the gaming industry. Diversity, equity, and inclusion are vital to all of our processes, programs, and structures. Your story, who you are, and your experience matter here.

Penn Interactive (PI) is an interactive gaming company headquartered in Philadelphia. PI is the digital arm of PENN Entertainment (NASDAQ: PENN), the largest regional casino operator in the U.S.). Our mission is to challenge the norms of the gaming industry by building an immersive interactive gaming experience that is responsible, innovative, and fun. We are committed to helping our team members grow and succeed. We believe that hiring talented individuals that love what they do will help us win! About the Role & Team On the Data Insights & Analytics team, our mission is to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. As a Data Analyst, you'll work directly with the marketing team to help them leverage data to track performance, make better decisions and ultimately reach their goals. The ideal candidate has strong communications skills, a passion for data, a background in quantitative analysis and an interest in professional sports, betting & eSports. About the Work As a key member of our Analytics team you will: <ul><li>Develop a deep understanding of how users interact with theScore's apps and websites.</li><li>Leverage marketing analytics tools (e.g. Branch, Optimove, Google Analytics) and identify opportunities to apply advanced analytics techniques to drive insights.</li><li>Create data models via dbtCloud to assist in database optimization and analyses</li><li>Monitor and report on all marketing KPIs and investigate anomalies as they arise.</li><li>Analyze and compare quality of paid acquisition and CRM campaigns for media & betting apps.</li><li>Answer ad-hoc questions & requests via SQL by leveraging data available in various databases.</li><li>Analyze results of betting promotions and recommend improvements & optimizations.</li><li>Design, create, execute and measure results from multivariate testing related to marketing activities.</li><li>Stay on top of emerging trends in media, sports betting, analytics & marketing industries.</li><li>Liaise with business stakeholders to identify data-drive projects and perform deep-dive analyses to provide recommendations and help make impactful, data-driven decisions</li><li>Oversee team's analysis to ensure data and insights shared are accurate and informative.</li><li>Mentor Junior Data Analysts.</li></ul> About You <ul><li>University degree in Business, Economics, Computer Science or related field.</li><li>3+ years of related experience.</li><li>Demonstrated ability to work with a variety of analytics tools such as, but not limited to: Looker, Mode, ThoughtSpot, Tableau, Power BI, Amplitude, Branch, Sensor Tower, Google Analytics.</li><li>Strong knowledge of relational databases and SQL.</li><li>Familiarity with analysis tools; R or Python packages are preferred.</li><li>A passion and curiosity for solving analytical problems using quantitative approaches.</li><li>Ability to take complex data and present it in a clear and simple manner.</li><li>Ability to focus in a fast paced environment and multitask.</li><li>Excellent written and oral communications skills.</li></ul> What We Offer <ul><li>Competitive compensation package</li><li>Fun, relaxed work environment</li><li>Education and conference reimbursements.</li><li>Parental leave top up</li><li>Opportunities for career progression and mentoring others</li></ul> #LI-Hybrid #LI-Remote Check out our LinkedIn page! Recently being recognized as a top workplace in the United States, we believe people work their best when they can be themselves. We are looking for hungry, innovative thinkers to help us challenge the status quo of the gaming industry. Diversity, equity, and inclusion are vital to all of our processes, programs, and structures. Your story, who you are, and your experience matter here.

Penn Interactive Ventures (Piv) Interview Questions

Overview

Penn Interactive Ventures (Piv) Interview Guides

Penn Interactive Ventures (Piv) Interview Questions

Penn Interactive Ventures (Piv) Salaries by Position

Penn Interactive Ventures (Piv) Opening Jobs