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Dow Interview Questions

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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

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

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?

Dow Salaries by Position

At Dow, we believe in putting people first and we're passionate about delivering integrity, respect and safety to our customers, our employees and the planet. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We're a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you're looking for a challenge and meaningful role, you're in the right place. Dow has an exciting and challenging opportunity for a Data Engineer on the Data & Analytics Platforms team within our Enterprise Data & Analytics organization This position can be located in either Houston, TX or Midland, MI. The role will align to Dow's Design Your Day approach and allows employees flexibility by choosing when to work remotely and when to attend on-site activities based on project work and role needs. About you and this role As a Data Engineer specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions that drive business value for Dow. In this role, you will focus on ingestion/persistence/curation of data as defined by specific projects. You will work closely with a multi-disciplinary team to: <ul><li>Create data pipelines for projects in the Azure environment</li><li>Design, develop, test, and implement analytic and reporting solutions. This includes the curation and ingestion of data from different source systems, driving end to end data flow for multiple solutions</li><li>Identify opportunities for innovating with digital capabilities aiming to accelerate Dow's digital transformation </li></ul> Responsibilities <ul><li>Owns the development and deployment of solutions enabling data ingestion, storage, and consumption across Dow's enterprise data platforms (Azure based) </li><li>Develops and deploys scalable and efficient data processing pipelines using Azure Data Factory, Azure Databricks, and other relevant technologies </li><li>Collaborates with data scientists and analysts to support their data needs </li><li>Continuously monitors, tests, and improves data architecture and performance </li><li>Deploys Azure services using Infrastructure as Code and Azure DevOps </li></ul> Qualifications <ul><li>A minimum of a Bachelor's degree, or 5 years relevant experience, or relevant military experience at an E6 rank/Petty Officer 2nd Class or higher </li><li>A minimum of 2 years of relevant data platform experience (data ingestion, pipeline orchestration)</li><li>A minimum of 2 years of relevant experience in Databricks technology</li><li>Experience designing and deploying in Microsoft Azure's Environment </li><li>A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process</li></ul> Preferred Skills <ul><li>A degree discipline in Computer Science, Computer Information Systems, or other Engineering disciplines</li><li>Strong proficiency in Python and PySpark, with the ability to write and execute complex queries to perform curation and build views required by end users single and multi dimensional</li><li>Extensive experience in Databricks Data engineering Job Runs Data Ingestion and Delta Live Tables</li><li>Strong knowledge of data modeling, data warehousing, and ETL processes </li><li>Proficiency in SQL and experience with big data technologies such as Spark and Hive</li><li>Proficient knowledge of various cloud services from Microsoft Azure </li><li>Experience with Azure data services, Azure Data Factory, Databricks, and Python (other programming language) </li><li>Experience developing in the Azure environment </li><li>Multi-application and cross-platform design experience </li><li>Understanding of data lakehouse platform design and workflows</li><li>Knowledge of and Experience with Data modeling and Pipelining (data and MLOps) </li><li>Knowledge of Data Ingestion and ELT with various workflows that include stream and batch processing, as well as structured, semi-structured, and unstructured data </li><li>Knowledge of and Experience with DevOps DataOps/MLOps and Infrastructure as Code (e.g., scripting, ADF) </li><li>Concepts of Data architecting </li><li>General understanding of digital industry trends </li><li>Ability to thrive in challenging situations and solve complex problems </li><li>Manage own work effort in multiple projects with little supervision </li><li>Interested about emerging technologies with the ability to quickly learn and exploit cutting edge offerings to achieve business objectives</li></ul> Additional notes <ul><li>This position does not offer relocation assistance </li><li>This position does not have people leadership responsibility. This position is an Independent Contributor; however, you may act as coach and mentor to junior resources</li></ul> Benefits - What Dow offers you We invest in you. Dow invests in total rewards programs to help you manage all aspects of you: your pay, your health, your life, your future, and your career. You bring your background, talent and perspective to work every day. Dow rewards that commitment by investing in your total wellbeing. Here are just a few highlights of what you would be offered as a Dow employee: <ul><li>Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives. </li><li>Benefits and programs to support your physical, mental and emotional well-being, to help you get the care you need...when you need it. </li><li>Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning and educational resources to help you achieve your long term financial-goals. </li><li>Become a Dow shareholder through various employee stock programs.</li><li>Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building. </li><li>Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs. </li><li>Global Paid Time Off (PTO) policies:<ul><li>Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents). </li><li>Paid time off to care for family members who are sick or injured. </li><li>Paid time off to support volunteering and Employee Resource Group's (ERG) participation. </li></ul></li></ul> Join our team, we can make a difference together. About Dow Dow (NYSE: DOW) is one of the world's leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 31 countries and employ approximately 35,900 people. Dow delivered sales of approximately $45 billion in 2023. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.dow.com. As part of our dedication to the diversity of our workforce, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available on www.dow.com. Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may call us at 1-833-My Dow HR (833-693-6947) and select option 8.

At Dow, we believe in putting people first and we're passionate about delivering integrity, respect and safety to our customers, our employees and the planet. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We're a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you're looking for a challenge and meaningful role, you're in the right place. Dow has an exciting and challenging opportunity for a Sr Data Engineer located in Houston, TX; Midland, MI; or Champaign, IL. The role will align to Dow's Design Your Day approach and allows employees flexibility by choosing when to work remotely and when to attend on-site activities based on project work and role needs. About you and this role As a Sr Data Engineer, you will create and manage data development and production infrastructure. You will build data ingestion and data transformation infrastructure. Within this role, you are responsible for creating APIs and helping business customers put data models into operations. Responsibilities <ul><li>Ingests, transforms and stores clean and enriched data ready for analytics consumption</li><li>Designs, models, and maintains data structures for analytics purposes</li><li>Maintains and configures Big Data platforms and data processing capabilities</li><li>Improves the data availability by acting as a liaison between analytics teams and source systems </li><li>Collects, blends, and transforms data using ETL tools, database management system tools, and code development</li><li>Performs data integration and manipulation utilizing a variety of data modeling techniques to support analytics modeling purposes</li><li>Implements data models and data structures to be ready for analytics consumption</li><li>Interacts with analytics teams and is capable of understanding how data needs to be structured for consumption</li><li>Creates data collection frameworks for structured and unstructured data</li><li>Develops and maintains infrastructure systems (e.g., data warehouses, data lakes), including data consumption patterns</li><li>Prepares and manipulates data using code or pipeline tools such as Azure Data Factory</li></ul> Qualifications <ul><li>A minimum of a Bachelor's degree, or 8 years relevant experience, or relevant military experience at an E6 rank/Petty Officer 2nd Class or higher is required</li><li>A minimum of 5 years of relevant data platform experience (data ingestion, pipeline orchestration)</li><li>Experience designing and deploying in Microsoft's Azure environment and demonstrated understanding of cloud computing fundamentals</li><li>A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process</li></ul> Preferred Skills <ul><li>A degree discipline in Computer Science, Information Systems, Engineering, or related scientific or technical field</li><li>A minimum of 8 years of relevant industry experience</li><li>Proficient knowledge of various cloud services from Microsoft Azure</li><li>Demonstrated knowledge and experience in Agile software development methodologies and work processes, especially Scrum</li></ul> Additional notes <ul><li>This position does not offer relocation assistance</li><li>This position does not have people leadership responsibility. This position is an Independent Contributor; however, you may act as coach and mentor to junior resources</li></ul> Benefits - What Dow offers you We invest in you. Dow invests in total rewards programs to help you manage all aspects of you: your pay, your health, your life, your future, and your career. You bring your background, talent and perspective to work every day. Dow rewards that commitment by investing in your total wellbeing. Here are just a few highlights of what you would be offered as a Dow employee: <ul><li>Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives. </li><li>Benefits and programs to support your physical, mental and emotional well-being, to help you get the care you need...when you need it. </li><li>Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning and educational resources to help you achieve your long term financial-goals. </li><li>Become a Dow shareholder through various employee stock programs.</li><li>Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building. </li><li>Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs. </li><li>Global Paid Time Off (PTO) policies:<ul><li>Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents). </li><li>Paid time off to care for family members who are sick or injured. </li><li>Paid time off to support volunteering and Employee Resource Group's (ERG) participation. </li></ul></li></ul> Join our team, we can make a difference together. About Dow Dow (NYSE: DOW) is one of the world's leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 31 countries and employ approximately 35,900 people. Dow delivered sales of approximately $45 billion in 2023. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.dow.com. As part of our dedication to the diversity of our workforce, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available on www.dow.com. Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may call us at 1-833-My Dow HR (833-693-6947) and select option 8.

At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet.
Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place.
Dow has an exciting and challenging opportunity for a Data Engineer on the Data & Analytics Platforms team within our Enterprise Data & Analytics organization. This position can be located in either Houston, TX or Midland, MI . The role will align to Dow's Design Your Day approach and allows employees flexibility by choosing when to work remotely and when to attend on-site activities based on project work and role needs.
About you and this role
As a Data Engineer specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions that drive business value for Dow. In this role, you will focus on ingestion/persistence/curation of data as defined by specific projects. You will work closely with a multi-disciplinary team to:
Create data pipelines for projects in the Azure environment
Design, develop, test, and implement analytic and reporting solutions, including the curation and ingestion of data from different source systems, driving end to end data flow for multiple solutions
Identify opportunities for innovating with digital capabilities aiming to accelerate Dow’s digital transformation
Responsibilities
Owns the development and deployment of solutions enabling data ingestion, storage, and consumption across Dow's enterprise data platforms (Azure based)
Develops and deploys scalable and efficient data processing pipelines using Azure Data Factory, Azure Databricks, and other relevant technologies
Collaborates with data scientists and analysts to support their data needs
Continuously monitors, tests, and improves data architecture and performance
Deploys Azure services using Infrastructure as Code and Azure DevOps
Qualifications
A minimum of a Bachelor's degree, or 5 years relevant experience, or relevant military experience at an E6 rank/Petty Officer 2nd Class or higher
A minimum of 2 years of relevant data platform experience (data ingestion, pipeline orchestration)
A minimum of 2 years of relevant experience in Databricks technology
Experience designing and deploying in Microsoft Azure’s Environment
A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process
Preferred Skills
A degree discipline in Computer Science, Computer Information Systems, or other Engineering disciplines
Strong proficiency in Python and PySpark, with the ability to write and execute complex queries to perform curation and build views required by end users single and multi-dimensional
Extensive experience in Databricks Data engineering Job Runs Data Ingestion and Delta Live Tables
Strong knowledge of data modeling, data warehousing, and ETL processes
Proficiency in SQL and experience with big data technologies such as Spark and Hive
Proficient knowledge of various cloud services from Microsoft Azure
Experience with Azure data services, Azure Data Factory, Databricks, and Python (other programming language)
Experience developing in the Azure environment
Multi-application and cross-platform design experience
Understanding of data lakehouse platform design and workflows
Knowledge of and Experience with Data modeling and Pipelining (data and MLOps)
Knowledge of Data Ingestion and ELT with various workflows that include stream and batch processing, as well as structured, semi-structured, and unstructured data
Knowledge of and Experience with DevOps DataOps/MLOps and Infrastructure as Code (e.g., scripting, ADF)
Concepts of Data architecting
General understanding of digital industry trends
Ability to thrive in challenging situations and solve complex problems
Manage own work effort in multiple projects with little supervision
Interested about emerging technologies with the ability to quickly learn and exploit cutting-edge offerings to achieve business objectives
About Dow
Dow (NYSE: DOW) is one of the world’s leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 31 countries and employ approximately 35,900 people. Dow delivered sales of approximately $45 billion in 2023. References to Dow or the Company mean Dow Inc. and its subsidiaries.
As part of our dedication to the diversity of our workforce, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available on www.dow.com .
Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may call us at 1-833-My Dow HR (833-693-6947) and select option 8.

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