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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

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?

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?

Harvey Nash Group Salaries by Position

"US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time” Job Title: Principal Lead EngineerLocation: NYC,NY ( Once a week Onsite )Type: Fulltime Must have:SQL experience and NOSQL exposure are big plusses. Should have worked with distributed systems and large/big data sets. Spark or Hadoop Responsibilities:• Architect and implement high-performance, low-latency event-driven systems for real-time applications, with a focus on scalability and fault tolerance.• Design and optimize distributed architectures for complex event processing, ensuring sub-millisecond response times and high throughput.• Lead the development of scalable microservices, integrating event sourcing and other patterns for data consistency and system resilience.• Optimize runtime performance, including memory management, concurrency, and I/O operations, to meet stringent performance requirements.• Design polyglot persistence solutions, balancing SQL and NoSQL technologies for efficient data storage and retrieval in high-volume environments.• Implement real-time analytics and reporting systems, focusing on meaningful insights for business stakeholders and operational teams.• Architect and develop machine learning pipelines for predictive algorithms, integrating them into real-time data flows.• Design multi-region, globally distributed systems that ensure data consistency and low latency across geographies.• Develop advanced monitoring, alerting, and observability solutions focusing on key performance indicators and business metrics.• Architect data lake and data warehouse solutions for large-scale analytics on historical data, balancing performance, and cost-effectiveness.• Lead the design and implementation of Infrastructure as Code practices, ensuring consistent and repeatable deployments across environments.• Implement and optimize container orchestration strategies, ensuring efficient resource utilization and auto-scaling based on demand.• Design and implement robust data governance and compliance solutions, addressing regulatory requirements in data-intensive systems.• Develop advanced caching and data access strategies to minimize latency and improve system responsiveness.• Conduct system design reviews and performance audits, providing actionable recommendations for improving scalability and efficiency. Requirements:• Degree in Computer Science or related field, with 10+ years of software development experience, including 3+ years in architect-level roles.• Strong command over at least one of Java, Python, or Go, with the ability to write high-performance, production-grade code.• Proven expertise in designing and implementing large-scale, distributed event-driven systems with a focus on high performance and low latency.• Extensive experience with real-time data processing, streaming architectures, and microservices design patterns.• Strong background in database technologies (both SQL and NoSQL) and data modeling for high-volume, real-time applications.• Demonstrated ability to architect and optimize globally distributed systems, including multi-region deployments and data consistency strategies.• Proficiency in cloud technologies (such as AWS, Azure, or GCP) and experience with Big Data technologies (e.g., Hadoop ecosystem, Spark, Kafka). A reasonable, good faith estimate of the $150k/Annum to $160k/Annum with Benefits for this position.

Job Title: Lead Data EngineerLocation: Toronto Canada Hybrid schedule - 2 - 3 days onsiteDuration: 3-6 Months Contract Must : GCP ecosystem, BigQuery, Pub Sub, Data-flow and Data processJob Description: As a Data Lead Engineer, you will be responsible for leading and guiding the data engineering team in designing, developing, and optimizing scalable data pipelines and data infrastructure. Your expertise in cloud platforms, big data technologies, and programming languages will be crucial in building high-performance data systems that meet the needs of our clients and support the growth of our organization.Key Responsibilities:Data Architecture & Design:Lead the design and implementation of scalable and efficient data architectures on the Google Cloud Platform (GCP).Define and develop data models and data storage solutions using Firestore, BigQuery, and other relevant GCP services.Data Pipeline Development:Build, maintain, and optimize complex ETL/ELT pipelines using Apache Spark/PySpark, and Data Build Tool (DBT).Ensure data pipelines are robust, scalable, and capable of handling large volumes of data in real-time and batch processing.Programming & Scripting:Write high-quality code in Java, Scala, and Python to process and transform data.Develop and maintain data processing scripts and applications that integrate with various data sources and systems.Workflow Orchestration:Design and implement workflow automation using Apache Airflow to manage and monitor data pipelines.Ensure data workflows are reliable, efficient, and easily maintainable.Database Management:Design and optimize SQL queries for data extraction, transformation, and reporting.Manage and optimize NoSQL databases like Firestore and relational databases to ensure high performance and reliability.Team Leadership & Collaboration:Lead, mentor, and develop a team of data engineers, providing technical guidance and fostering a collaborative team environment.Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver data-driven solutions.Performance Optimization:Continuously monitor and improve the performance of data systems, ensuring they meet the scalability, reliability, and efficiency needs of the business.Identify and resolve performance bottlenecks in data processing and storage.Data Governance & Security:Implement and enforce best practices for data governance, security, and privacy.Ensure compliance with data regulations and industry standards in all data engineering processes.Innovation & Continuous Improvement:Stay current with the latest trends and technologies in data engineering, cloud computing, and big data.Drive innovation within the team, exploring new tools and methodologies to enhance data solutions.Qualifications:Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field. Experience:Minimum of 6+ years of experience in data engineering or related fields.Proven experience leading and mentoring data engineering teams.Extensive experience with GCP, including services like BigQuery, Firestore, and Cloud Storage.Strong expertise in big data technologies like Apache Spark and PySpark.Proficiency in Java, Scala, and Python programming languages.Hands-on experience with workflow orchestration tools such as Apache Airflow.Experience with data transformation tools like DBT.Strong SQL skills with experience in query optimization and database management. Skills:Excellent problem-solving and analytical skills.Strong communication and leadership abilities.Ability to work collaboratively in a fast-paced, dynamic environment.A proactive approach to identifying and addressing potential challenges. Sr. Data Engineer/Lead Scala Pyspark, Airflow, GCP, BQ, Fire store, SQL expertise, Scala is a bonus A reasonable, good faith estimate of the minimum and maximum for this position is $70/Hr to $72/Hr with Limited benefits

Summary:We’re looking for a dynamic Full Stack Engineer, well versed in web application front end & back end web applications. Here are some of the specific details:Job Title: Software Engineer II Job Duration: Thru Dec 2025 Job Location: Vancouver, British Columbia, Canada (Onsite 3-days a week from day one onwards) MUST HAVE SKILLS:<ul><li>Looking for a Full Stack Engineer, Front end React.js, GraphQL & on the Backend, Ruby & Postgres.</li><li>AWS is preferable and GCP or Azure would also work.</li><li>Experience in Postgres or any SQL / NoSQL databases.</li></ul> Let me know if you are interested in this job and/or if you can assist us by referring someone who is interested in this job, since we offer the lucrative referral bonuses.

????Head of Data Opportunity???? I am thrilled to announce an exciting opportunity with a leading utilities organisation in the North! They are seeking a Head of Data to elevate their Data function, transitioning from traditional analytics to a more proactive approach. In this pivotal role, you will collaborate with diverse stakeholder groups, advocating for the value of data-driven decision-making. The organisation is eager to enhance their data utilization and growth, seeking guidance on this transformative journey. This role offers a competitive salary, bonus and a host of additional benefits. (We can go into more detail when discussing the opportunity.) If you are ready to drive innovation and shape the future of data within a dynamic business, this position is tailored for you. If this sounds of interest either apply here: <a>https://lnkd.in/eRfiKdSU</a>or reach out below:???? Email: callum.stephens@HarveyNash.com☕ Schedule a chat in person or via Microsoft Teams

Duration: 11 Months Location: Seattle, WA- 3 Days hybrid JOB DESCRIPTION: 1. Manages developing and bringing to market new private brand products. Typically reports to a senior product manager. 2. Coordinates product development across cross-functional and cross-org teams (e.g. Food Safety, Legal, Design, Quality, Consumer Insights, and Operations) to deliver within target SLAs. 3. Manages product refreshes (due to brand transitions, packaging changes etc.) of existing catalog 4. Designs and implements new processes to help scale our business. 5. May require a bachelor's degree and at least 3 years of experience in the field. 6. Familiar with a variety of the field's concepts, practices, and procedures. 7. Relies on extensive experience and judgment to plan and accomplish goals Qualifications: <ul> <li>Degree: Bachelors degree in related field </li><li>minimum 4 years experience in commercialization or product rebranding </li><li>Minimum 4 years of experience with end to end project/product management </li> <li>Do not need tech or software development experience </li> </ul>

Job Title: Lead Software EngineerLocation: Toronto Canada Hybrid schedule - 2 - 3 days onsiteDuration: 3-6 Months Contract Job Description: As a Java Lead Engineer, you will lead a team of engineers in designing, developing, and maintaining robust, scalable, and high-performance applications. Your deep expertise in Java, microservices architecture, and cloud-native technologies will be essential in delivering enterprise-level solutions. You will also be responsible for ensuring code quality, adherence to design principles, and the successful deployment of applications in a CI/CD environment.Key Responsibilities:<ul><li>Application Development:</li><li>Lead the development and maintenance of scalable, high-performance applications using Java and related frameworks.</li><li>Architect and develop microservices using Spring Boot and other Java frameworks, ensuring modularity and reusability.</li><li>Design and implement RESTful APIs that adhere to best practices in security, scalability, and performance.</li><li>Microservices & Cloud-Native Architecture:</li><li>Design and implement microservices architectures that follow the 12-factor app principles.</li><li>Leverage Kubernetes for container orchestration, ensuring applications are deployed, managed, and scaled effectively.</li><li>Utilize Kafka for building scalable, real-time data processing and messaging systems.</li><li>Code Quality & Design Principles:</li><li>Advocate for and enforce coding standards, code reviews, and best practices to maintain high-quality code.</li><li>Apply SOLID principles and design patterns to ensure maintainable and scalable software architecture.</li><li>Drive the adoption of automated testing practices, including unit, integration, and end-to-end testing.</li><li>Database Management:</li><li>Design and optimize SQL queries and database schemas to ensure efficient data storage and retrieval.</li><li>Collaborate with the data engineering team to integrate relational databases with applications.</li><li>Continuous Integration & Continuous Deployment (CI/CD):</li><li>Implement and manage CI/CD pipelines to automate the build, test, and deployment processes.</li><li>Ensure smooth deployment of applications through automation, minimizing downtime and errors.</li><li>Continuously improve the deployment process by integrating new tools and practices.</li><li>Leadership & Mentorship:</li><li>Lead and mentor a team of engineers, providing technical guidance and fostering a collaborative environment.</li><li>Conduct regular code reviews, ensuring adherence to coding standards and best practices.</li><li>Encourage continuous learning and professional development within the team.</li><li>Collaboration & Communication:</li><li>Work closely with product managers, designers, and other stakeholders to deliver features that align with business requirements.</li><li>Ensure clear communication of technical concepts to non-technical stakeholders.</li><li>Collaborate with cross-functional teams to integrate solutions across the organization.</li><li>Performance & Scalability:</li><li>Monitor application performance, identifying and resolving bottlenecks to ensure optimal operation.</li><li>Implement scalability strategies, including load balancing and clustering, to handle increasing user demands.</li><li>Conduct performance tuning of Java applications and optimize resource utilization.</li><li>Innovation & Continuous Improvement:</li><li>Stay updated with the latest trends and advancements in Java, microservices, and cloud technologies.</li><li>Experiment with new tools, frameworks, and methodologies to continuously improve software development practices.</li><li>Lead initiatives to enhance the engineering culture within the team, promoting innovation and efficiency.</li></ul>Qualifications:<ul><li>Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.</li><li>Experience:</li><li>Minimum of 5+ years of experience in software development with a strong focus on Java and related technologies.</li><li>Proven experience in leading software engineering teams and driving successful project delivery.</li><li>Extensive experience with Spring Boot and microservices architecture.</li><li>Strong proficiency in SQL and relational database management.</li><li>Hands-on experience with Kafka for messaging and event-driven architectures.</li><li>Expertise in implementing CI/CD pipelines using tools like Jenkins, GitLab CI, or similar.</li><li>Proficiency in Kubernetes for container orchestration and management.</li><li>Skills:</li><li>Strong understanding of the 12-factor app methodology and its application in building cloud-native applications.</li><li>Deep knowledge of RESTful API design and implementation.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and leadership abilities.</li><li>Ability to work collaboratively in a fast-paced, dynamic environment.</li></ul>Preferred Qualifications:<ul><li>Experience with other Java frameworks such as Hibernate, Struts, or Play Framework.</li><li>Knowledge of NoSQL databases and their integration with Java applications.</li><li>Familiarity with DevOps practices and tools.</li><li>Certification in Java, Kubernetes, or cloud platforms (e.g., AWS, GCP).</li></ul>A reasonable, good faith estimate of the minimum and maximum for this position is $75/Hr to $80/Hr with Limited benefits

Req# 33822767 Title: Software Engineer IIILocation: Cupertino, CA - HybridDuration: 12 Months Pay Rate: $81.50/hr. on W2 SummaryAt Client, novel machine learning ideas have a way of quickly becoming phenomenal products, services, and customer experiences. Bring passion and dedication to your job; there's no telling what you could accomplish.Here is your opportunity to be part of an incredible research and engineering team building the next generation of advanced algorithms for sensing technologies in iPhone, Client Watch, iPad, and more. Our team works across the Client to create innovative, high-impact features and new interaction experiences on Client devices.We are looking for a software engineer passionate about developing innovative product features and human-computer interactions. We are looking for candidates with expertise in embedded systems programming, edge and on-device implementations of algorithms, Frameworks, and experience in time-series data. Qualifications: Expert in Swift, Objective-C, C++, or similar systems programming languages.Experience building libraries, frameworks, testing/automation, and command-line tools.Experience building iOS and watchOS apps with basic UI/UX design.Strong grasp of Client's development APIs (UI Kit, Cocoa, etc.)Strong understanding of object-oriented design, data structures, algorithm design, complexity analysis, performance analysis, problem-solving, and diagnosis.Deep understanding of multi-threaded programming and synchronization experience in creating high-performance implementations of deep-learning algorithms.Proficiency in Python programming.Able to communicate clearly and collaborate with cross-functional teams.Excellent problem-solving and root-cause analysis skills.2+ years of software engineering experience. Preferred qualifications:Demonstrated ability to learn and modify large, existing codebases quickly.Experience designing high-performance software and algorithms for resource-constrainedembedded systems.Experience with on-device machine learning, deep learning, and using sensor data to power novel use cases and applications.Experience in human-computer interaction (HCI) space.Experience with signal processing, such as applying filtering to noisy signals. Description:We are looking for smart, creative Software Engineers and Developers with expertise in embedded programming, edge and on-device implementations of algorithms, Frameworks, and image or time-series data. Working knowledge of Machine learning and signal processing tools will broaden your role and effectiveness in this position. The team you will join is responsible for creating product features for the Client's existing and future devices. In this role, you will:Work closely with machine learning and software engineering experts within the team.Partner with a variety of product teams across Clients. You will work cross-functionally withmachine learning scientists, sensor architects, and software engineers to build the next.generation of sensing technologies.Implement signal and machine learning algorithms on-device that process image or time[1]series data measured by various sensors in different Client products.Prototype and define interactions end-to-end, in collaboration with HW, SW, and design partners.Design user studies SW and leverage prototypes to define success criteria. Education:BS or MS in Computer Engineering, Computer Science, or equivalent experience.

Duration: 11 MonthsLocation: Seattle, WA- 3 Days hybrid JOB DESCRIPTION: 1. Manages developing and bringing to market new private brand products. Typically reports to a senior product manager. 2. Coordinates product development across cross-functional and cross-org teams (e.g. Food Safety, Legal, Design, Quality, Consumer Insights, and Operations) to deliver within target SLAs. 3. Manages product refreshes (due to brand transitions, packaging changes etc.) of existing catalog 4. Designs and implements new processes to help scale our business. 5. May require a bachelor's degree and at least 3 years of experience in the field. 6. Familiar with a variety of the field's concepts, practices, and procedures. 7. Relies on extensive experience and judgment to plan and accomplish goals Qualifications: <ul><li>Degree: Bachelors degree in related field</li><li>minimum 4 years’ experience in commercialization or product rebranding</li><li>Minimum 4 years of experience with end to end project/product management </li><li>Do not need tech or software development experience</li></ul>

SC Cleared Product Manager – Inside IR35 – 12 Months minimum – Competitive Rate – Largely Remote Harvey Nash has been exclusively engaged to recruit a SC Cleared Cleared Product Manager on an initial 12 month contract. Our client is currently going through a major transformation programme and requires a Product Manager to work across a number of feature teams. This will include working with suppliers and holding them to account, alongside getting involved in technical product management covering data, back-end, integrations etc. We are looking to speak to SC Cleared Product Managers with experience of large, critical national infrastructure products and moving them from mainframe to the cloud. Essential: <ul><li>Experienced Technical Product Manager </li><li>Experience of working in the public sector</li><li>You must have Security Clearance </li><li>Excellent communication skills and confident in holding suppliers to account </li><li>Experience of large, critical national infrastructure products is very advantageous</li></ul> This is an urgent requirement for our client so please don’t hesitate to ‘apply within’ or email your CV to Charlie.Deacon@HarveyNash.com .

Harvey Nash has been engaged to find a talented Machine Learning Engineer in Cupertino CA for our Enterprise Client. To be eligible, consultants must be local to Cupertino, able to work directly for Harvey Nash on a W2 basis, and not be Visa dependent (No C2C/C2H). Duration: 6 months (Hybrid schedule) <ul><li>We are seeking a skilled engineer to support product design and FEA development.</li><li>The ideal candidate will have a strong understanding of both FEA and modern deep learning techniques, hands-on experience in designing and training ML models, and a proven record of deploying models in relevant applications such as computer vision.</li><li>The role will involve FEA data processing, organizing datasets, managing the lifecycle of ML models, documenting details, and communicating with cross-functional teams.</li><li>Proficiency in Python.</li><li>Strong experience in ML frameworks and libraries such as PyTorch or TensorFlow.</li><li>Knowledge of FEA, including element technologies and material models.</li><li>Solid understanding of deep learning architectures such as CNN, RNN, and transformers.</li><li>Hands-on experience with large-scale data processing and analysis.</li><li>Develop data pipelines from simulation results to ML datasets.</li><li>Deploy ML models into production environment ensuring seamless integration with existing codebase.</li><li>Bachelor’s degree in Computer Science, Data Science, Mechanical Engineering, or a related field.</li><li>Master’s degree or higher are preferred. A Ph.D. is a strong plus.</li></ul> Thank you for your interest!

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