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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?

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

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?

Glocomms Salaries by Position

Senior Data Platform EngineerLocation: LondonAbout the clientpioneering global advancements in autonomous food production through cutting-edge robotics and transformative AI technology. Headquartered in London with offices in Berlin and Munich, we are redefining the food industry by integrating AI-driven robotics into every aspect of food creation, production, and operation. We’re seeking a Senior Data Platform Engineer to help build a modern data platform that powers our AI-driven food solutions. Join a team of top-tier professionals in robotics, AI, and data engineering to revolutionize how food is produced and delivered. Your Responsibilities1. Data Platform Development<ul><li>Design, build, and maintain scalable data pipelines for ingestion, transformation, and storage.</li><li>Implement a modern data warehouse using AWS and Snowflake.</li><li>Develop backend services to process and transform internal and external data streams.</li></ul>2. Collaboration & Leadership<ul><li>Collaborate with Data Scientists, Engineers, and AI specialists on data platform initiatives.</li><li>Lead efforts to modernize and decentralize the data platform with state-of-the-art technologies.</li></ul>3. Infrastructure & Automation<ul><li>Build CI/CD pipelines to ensure seamless data management and deployment.</li><li>Implement best practices for data lifecycle management, ensuring secure and scalable infrastructure.</li></ul>4. Data Quality & Governance<ul><li>Establish processes for data observability, quality assurance, and governance.</li><li>Develop tools, templates, and processes to optimize data platform operations.</li></ul>What We’re Looking For<ul><li>Experience: 5+ years of experience in data engineering, with a proven track record of building data warehouses and data lakes from scratch.</li><li>Cloud Expertise: In-depth knowledge of AWS services, including networking, security, and identity management.</li><li>Data Technologies: Expertise in Snowflake, SQL/NoSQL databases, and modern data tools.</li><li>Programming Skills: Advanced proficiency in Python, with experience in Docker, Kubernetes, and CI/CD tools.</li><li>AI/ML Familiarity: Exposure to Data Science or Machine Learning frameworks is a plus.</li><li>Mindset: Solutions-oriented, collaborative, and passionate about scaling and optimizing data platforms.</li></ul>

Our client is a fast-growing AI company specializing in the Pharmaceutical Intelligence space.Key Responsibilities:<ul><li>Design, develop, and maintain complex data pipelines that go through multiple stages and transformations.</li><li>Implement data modeling, normalization, and wrangling of different data formats into a cohesive product.</li><li>Manage and optimize data storage solutions using technologies such as PostgreSQL, S3/GCS.</li><li>Orchestrate workflows using tools like Airflow, Prefect, or Dagster.</li><li>Implement and manage message queues to ensure efficient data processing.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.</li><li>Contribute to the maturation of data infrastructure in a startup environment, from 0 to 1 and beyond.</li></ul>Required Qualifications:<ul><li>Proficiency in Python and experience with PostgreSQL.</li><li>Hands-on experience with cloud storage solutions such as S3 or GCS.</li><li>Familiarity with workflow orchestration tools like Airflow, Prefect, or Dagster.</li><li>Experience with managing message queues.</li><li>Mid-level or higher experience in managing complex data pipelines.</li><li>Strong understanding of data modeling, normalization, and data wrangling.</li></ul>Preferred Qualifications:<ul><li>Experience in fast-growing AI-native companies.</li><li>Proven track record of maturing data infrastructure in startup environments.</li><li>Ability to handle unstructured and varying data formats effectively.</li></ul>Why Join Us:<ul><li>Be part of an innovative team at the forefront of AI and data engineering.</li><li>Opportunity to work on challenging projects that make a real impact.</li><li>Collaborative and dynamic work environment.</li><li>Competitive salary and benefits package.</li></ul>

Minimum of 6 years of experience in software engineering, focusing in data pipeline development Experience in the Cybersecurity industry Responsibilities Design and implement robust data pipelines to ensure seamless flow and integration of critical information for cybersecurity applications Utilize expertise in Python to build efficient, scalable, and maintainable data pipelines, adhering to best coding practices Stay up to date with the industry trends and emerging technologies, incorporating them into pipeline development for enhanced performance Qualifications Expert proficiency in Python Minimum of 6 years of experience in software engineering, focusing in data pipeline development Experience in the Cybersecurity industry Company Overview We are working with a seed-funded start-up that recently received close to $35 million in total funding. Their mission is to enable businesses by adopting strategies to address alert fatigue. We are actively looking for a Backend Engineer who will break monoliths into microservices and build microservices at a very large scale, innovating production-level solutions to advanced performance issues. Company Specialties: IT, M2M, Cyber Security, Internet of Things (IoT), Mobile to Mobile (M2M), Mobile/Online Payments, Recruitment, Executive Search, Artificial Intelligence, Software Development, Data Science, DevOps Engineers, Commercial Services, Sales & Marketing, Sales Engineering, Machine Learning, Natural Language Processing, Information Security, and Engineering J-18808-Ljbffr

This is a FULLY REMOTE Senior Software Engineer Opportunity with a Series-C California-Based AI Startup. This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing products in the Insurance Industry. We are a leader in providing the most technologically advanced solutions in the insurance industry, dedicated to expanding the horizons of what is possible. Our mission is to drive the best claims outcomes for both insurers and the insured using innovative machine learning, including deep learning and natural language processing. Our models provide key insights and predictions that guide the claims adjuster in making optimal decisions at every step of the claim process. We are looking for a senior software engineer who will be responsible for the design and development of complex, robust applications supporting cutting edge Artificial Intelligence software applications. Responsibilities Work closely with fellow engineers, product managers, data scientists, and designers to define, refine, and implement features. Our products are all about using data and predictive analytics to solve hard problems for our users. Work across the stack. Collaborate with fellow engineers to build frameworks and tools, define standards, and improve overall efficiency and hygiene of the codebase. Design and architect new product features, champion the use of cutting-edge technologies and tools. Work on a bi-weekly sprint schedule in a fast-paced startup environment. Participate in and contribute to scrum meetings, i.e., daily stand-up, sprint planning, and retrospectives. Qualifications 5 years' experience in software engineering, building large scale systems. Ability to translate data needs into detailed functional and technical designs for development, testing, and implementation. Deep understanding of cloud-based computing and services and their trade-offs. Ability to identify and communicate risks and issues affecting business rules, functional requirements, and specifications. Technical leadership experience is helpful. Experience with Software Development Lifecycles. Experience with the following software/tools is highly desired: Highly proficient with Python & AWS. SQL and NoSQL databases like MySQL, DynamoDB, Elasticsearch. AWS Cloud services: RDS, AWS Lambda, S3, etc. (any equivalent cloud vendor will suffice). Experience working with cross-functional teams in a fast-paced environment. Work Style: Fully Remote Work in EST hours. Pay: $150k base, 10% bonus. We have small, close-knit teams and rely on our engineers to work directly with product and design to ship features. We value people that take ownership and get things done, and have some fun along the way. We're building something big and important - come join us J-18808-Ljbffr

Job Title: Lead Product Manager, PrivacyAbout the Role:Join a global social media leader's Privacy Product team, where you will shape strategies to meet global privacy regulations while creating seamless user experiences. Your work will empower users to enjoy and create content on a secure platform, ensuring compliance and trust. This role blends strategic thinking, technical acumen, and cross-functional collaboration to deliver impactful privacy solutions in a dynamic global environment.Key Responsibilities:<ul><li>Drive product strategies to address evolving global privacy and regulatory requirements.</li><li>Partner with legal teams to translate complex regulatory guidelines into actionable product features.</li><li>Lead cross-functional collaboration to develop and deliver innovative privacy solutions that align with business goals.</li><li>Design scalable, privacy-centric solutions to enhance efficiency and compliance across the organization.</li><li>Promote a culture of continuous innovation, collaboration, and excellence while driving alignment across teams.</li></ul>Required Qualifications:<ul><li>Proven experience navigating data privacy regulations and collaborating with legal and compliance teams.</li><li>Strong analytical and problem-solving skills, with the ability to leverage data to drive decisions and evaluate outcomes.</li><li>Excellent project management capabilities, demonstrating the ability to lead multiple initiatives in a fast-paced, ambiguous environment.</li><li>Exceptional communication skills, adept at articulating vision and driving organizational alignment.</li><li>Ability to balance diverse priorities and contribute effectively within cross-functional teams.</li></ul>Preferred Qualifications:<ul><li>5+ years of experience in product management within consumer technology sectors.</li><li>Familiarity with social media platforms and their privacy challenges.</li></ul>

<ul><li>Minimum of 6 years of experience in software engineering, focusing in data pipeline development</li><li>Experience in the Cybersecurity industry</li></ul><h3>Responsibilities</h3><ul><li>Design and implement robust data pipelines to ensure seamless flow and integration of critical information for cybersecurity applications</li><li>Utilize expertise in Python to build efficient, scalable, and maintainable data pipelines, adhering to best coding practices</li><li>Stay up to date with the industry trends and emerging technologies, incorporating them into pipeline development for enhanced performance</li></ul><h3>Qualifications</h3><ul><li>Expert proficiency in Python</li><li>Minimum of 6 years of experience in software engineering, focusing in data pipeline development</li><li>Experience in the Cybersecurity industry</li></ul><h3>Company Overview</h3>We are working with a seed-funded start-up that recently received close to $35 million in total funding. Their mission is to enable businesses by adopting strategies to address alert fatigue. We are actively looking for a Backend Engineer who will break monoliths into microservices and build microservices at a very large scale, innovating production-level solutions to advanced performance issues.Company Specialties: IT, M2M, Cyber Security, Internet of Things (IoT), Mobile to Mobile (M2M), Mobile/Online Payments, Recruitment, Executive Search, Artificial Intelligence, Software Development, Data Science, DevOps Engineers, Commercial Services, Sales & Marketing, Sales Engineering, Machine Learning, Natural Language Processing, Information Security, and Engineering
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This is a FULLY REMOTE Senior Software Engineer Opportunity with a Series-C California-Based AI Startup.This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing products in the Insurance Industry. We are a leader in providing the most technologically advanced solutions in the insurance industry, dedicated to expanding the horizons of what is possible. Our mission is to drive the best claims outcomes for both insurers and the insured using innovative machine learning, including deep learning and natural language processing. Our models provide key insights and predictions that guide the claims adjuster in making optimal decisions at every step of the claim process.We are looking for a senior software engineer who will be responsible for the design and development of complex, robust applications supporting cutting edge Artificial Intelligence software applications.Responsibilities Work closely with fellow engineers, product managers, data scientists, and designers to define, refine, and implement features. Our products are all about using data and predictive analytics to solve hard problems for our users.Work across the stack.Collaborate with fellow engineers to build frameworks and tools, define standards, and improve overall efficiency and hygiene of the codebase.Design and architect new product features, champion the use of cutting-edge technologies and tools.Work on a bi-weekly sprint schedule in a fast-paced startup environment. Participate in and contribute to scrum meetings, i.e., daily stand-up, sprint planning, and retrospectives.Qualifications 5+ years' experience in software engineering, building large scale systems.Ability to translate data needs into detailed functional and technical designs for development, testing, and implementation.Deep understanding of cloud-based computing and services and their trade-offs.Ability to identify and communicate risks and issues affecting business rules, functional requirements, and specifications.Technical leadership experience is helpful.Experience with Software Development Lifecycles.Experience with the following software/tools is highly desired: Highly proficient with Python & AWS.SQL and NoSQL databases like MySQL, DynamoDB, Elasticsearch.AWS Cloud services: RDS, AWS Lambda, S3, etc. (any equivalent cloud vendor will suffice).Experience working with cross-functional teams in a fast-paced environment.Work Style: Fully Remote Work in EST hours.Pay: $150k base, 10% bonus.We have small, close-knit teams and rely on our engineers to work directly with product and design to ship features. We value people that take ownership and get things done, and have some fun along the way. We're building something big and important - come join us!#J-18808-Ljbffr

<ul><li>Minimum of 6 years of experience in software engineering, focusing in data pipeline development </li><li>Experience in the Cybersecurity industry </li> </ul><h3>Responsibilities </h3><ul><li>Design and implement robust data pipelines to ensure seamless flow and integration of critical information for cybersecurity applications </li><li>Utilize expertise in Python to build efficient, scalable, and maintainable data pipelines, adhering to best coding practices </li><li>Stay up to date with the industry trends and emerging technologies, incorporating them into pipeline development for enhanced performance </li> </ul><h3>Qualifications </h3><ul><li>Expert proficiency in Python </li><li>Minimum of 6 years of experience in software engineering, focusing in data pipeline development </li><li>Experience in the Cybersecurity industry </li> </ul><h3>Company Overview </h3>We are working with a seed-funded start-up that recently received close to $35 million in total funding. Their mission is to enable businesses by adopting strategies to address alert fatigue. We are actively looking for a Backend Engineer who will break monoliths into microservices and build microservices at a very large scale, innovating production-level solutions to advanced performance issues. Company Specialties: IT, M2M, Cyber Security, Internet of Things (IoT), Mobile to Mobile (M2M), Mobile/Online Payments, Recruitment, Executive Search, Artificial Intelligence, Software Development, Data Science, DevOps Engineers, Commercial Services, Sales & Marketing, Sales Engineering, Machine Learning, Natural Language Processing, Information Security, and Engineering #J-18808-Ljbffr

Minimum of 6 years of experience in software engineering, focusing in data pipeline development
Experience in the Cybersecurity industry
Responsibilities   Design and implement robust data pipelines to ensure seamless flow and integration of critical information for cybersecurity applications
Utilize expertise in Python to build efficient, scalable, and maintainable data pipelines, adhering to best coding practices
Stay up to date with the industry trends and emerging technologies, incorporating them into pipeline development for enhanced performance
Qualifications    Expert proficiency in Python
Minimum of 6 years of experience in software engineering, focusing in data pipeline development
Experience in the Cybersecurity industry
Company Overview  We are working with a seed-funded start-up that recently received close to $35 million in total funding. Their mission is to enable businesses by adopting strategies to address alert fatigue. We are actively looking for a Backend Engineer who will break monoliths into microservices and build microservices at a very large scale, innovating production-level solutions to advanced performance issues.
Company Specialties:
IT, M2M, Cyber Security, Internet of Things (IoT), Mobile to Mobile (M2M), Mobile/Online Payments, Recruitment, Executive Search, Artificial Intelligence, Software Development, Data Science, DevOps Engineers, Commercial Services, Sales & Marketing, Sales Engineering, Machine Learning, Natural Language Processing, Information Security, and Engineering

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As the Founding Data Engineer, you will play a pivotal role in establishing and building out the data organization within the Finance and Strategy department. Your primary responsibilities will include building a data warehouse, developing customer reporting systems, transforming data, and leveraging AI to solve business problems. This role requires a self-starter with a strong background in Microsoft tools and a passion for data visualization. Key Responsibilities: <ul><li>Design, develop, and maintain a scalable data warehouse to support business intelligence and analytics needs.</li><li>Create and implement data transformation processes to ensure data accuracy and consistency.</li><li>Develop and maintain customer reporting systems using Power BI and other data visualization tools.</li><li>Leverage AI and machine learning techniques to analyze data and provide actionable insights.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.</li><li>Ensure data integrity, security, and compliance with company policies and industry regulations.</li><li>Identify and resolve data-related issues, ensuring high-quality data is available for analysis.</li><li>Continuously improve data processes and infrastructure to enhance efficiency and effectiveness.</li></ul> Qualifications: <ul><li>Proven experience as a Data Engineer or in a similar role.</li><li>Strong expertise in building data warehouses and data pipelines.</li><li>Proficient in Power BI and other data visualization tools.</li><li>Experience with data transformation and ETL processes.</li><li>Familiarity with AI and machine learning techniques.</li><li>Background in working with Microsoft technologies and tools.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration abilities.</li><li>Self-motivated and able to work independently in a fast-paced environment.</li><li>Bachelor’s degree in Computer Science, Information Technology, or a related field; advanced degree preferred.</li></ul>

Glocomms Interview Questions

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Glocomms Interview Questions

Glocomms Salaries by Position

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