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Gentis Solutions Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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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?

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 you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

Job Title: Principal Software EngineerLocation: Eden Prairie, MinnesotaWork Style: Full-time onsite (some flexibility on Fridays)Salary: $120,000 – $145,000 per year (no bonus or additional compensation currently)Projected Total Compensation: $120,000 – $145,000 annuallyStart: ASAPDuration: Full-time / Direct HireInterview Process:<ul><li>Round 1: 30-minute phone screen with hiring manager</li><li>Round 2: Onsite interview with engineering team</li></ul>About the Role (Summary of project)Gentis Solutions is seeking a Principal Software Engineer to design, develop, and customize Linux board support packages (BSPs), focusing primarily on bootloaders (U-Boot) and Linux kernel development for Yocto and Buildroot-based distributions.This role is not an IT or application development position—it is deeply embedded, system-level engineering, supporting processor platforms, device drivers, bare-metal systems, RTOS environments, and board bring-up.The Principal Software Engineer will provide technical leadership, mentor other engineers, and collaborate cross-functionally to deliver cutting-edge embedded solutions across multiple processor architectures.What You’ll Do (Job Description):Technical Leadership & Architecture<ul><li>Translate product requirements into scalable, implementable system architectures.</li><li>Provide day-to-day mentorship and technical leadership to design engineers.</li><li>Lead multi-discipline engineering projects and occasionally manage customer project deliverables.</li></ul>Embedded Software Development<ul><li>Develop software for 32-bit and 64-bit processor platforms.</li><li>Build and customize bootloaders (U-Boot) and Linux kernel components.</li><li>Develop software for bare metal, RTOS, Linux, Android, and QNX platforms.</li><li>Design and implement device drivers for USB, Video, Audio, Ethernet, CAN, NAND/NOR flash, DDR/SDRAM, HDMI, PCIe, SPI, I2C, etc.</li><li>Develop software for wireless technologies: Wi-Fi, Bluetooth, 802.11, GPS, cellular.</li></ul>System Debug & Hardware Integration<ul><li>Support hardware and electrical engineering teams with board bring-up, debugging, and validation.</li><li>Read and interpret complex electrical schematics and datasheets.</li><li>Utilize oscilloscopes, JTAG debuggers, spectrum analyzers, and related tools.</li></ul>Documentation & Project Execution<ul><li>Prepare verification test plans, development plans, software specifications, and requirements documents.</li><li>Complete projects within budget and timeline requirements.</li><li>Communicate technical details and project status across internal and external stakeholders.</li><li>Engage with external technical communities through writing or speaking engagements.</li></ul>What We’re Looking For (Must Haves):<ul><li>Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or similar.</li><li>7–12+ years of embedded software development experience (flexible — right fit prioritized).</li><li>Strong experience with embedded processor platforms (ARM, PowerPC, MSP430, PIC32, x86 preferred).</li><li>Expertise with embedded Linux, device drivers, BSPs, bootloaders, Yocto, Buildroot.</li><li>Experience with bare-metal development, RTOS platforms, and low-level system programming.</li><li>Strong understanding of CPU internals (caches, MMU, interrupts, DMA, power states).</li><li>Experience working with cross-functional engineering teams on product design.</li><li>Ability to write detailed technical documentation and proposals.</li><li>Hands-on experience with Ethernet, USB, I2C, CAN, Flash, SPI, and other embedded peripherals.</li><li>Strong communication skills—able to present to leadership and engineering groups.</li><li>Experience with Agile/Scrum development environments.</li></ul>Preferred (Nice-to-Have Skills):<ul><li>Experience managing offshore engineering teams or partner organizations.</li><li>Experience working on wireless technologies like Bluetooth, Wi-Fi, GPS, cellular.</li><li>Familiarity with TCP/IP networking, routing protocols, and similar technologies.</li><li>Experience using oscilloscopes, JTAG tools, and system debuggers.</li><li>Experience contributing to technical blogs, conferences, or community events.</li></ul>

Job Title: Data Scientist (Mid-Level)Location: remoteSalary: $55 – $65 per hour (W2)Projected Total Compensation: Approximately $114,400 – $135,200 annually (based on 40-hour workweek)Start: ASAPAbout the Role (Summary of project)Gentis Solutions is seeking a Mid-Level Data Scientist to join our Professional Consultants group. In this role, you will work with business leaders, technical stakeholders, and cross-functional teams to design and implement advanced data science solutions leveraging machine learning, natural language processing, deep learning, unstructured data processing, and large language models (LLMs).This position requires strong analytical thinking, independence, and adaptability, especially when working with ambiguous or evolving business requirements. You will be responsible for building predictive models, developing analytical solutions, and communicating insights that drive high-impact decision-making.What You’ll Do (Job Description):Strategic Collaboration<ul><li>Partner with business leaders to understand needs and translate them into data-driven goals, project scopes, and success metrics.</li></ul>Requirements Gathering & Project Execution<ul><li>Independently gather requirements, assess data readiness, build project plans, manage timelines, and deliver results with minimal supervision.</li></ul>Advanced Analytics & Modeling<ul><li>Conduct data mining on structured and unstructured datasets.</li><li>Build, evaluate, and maintain predictive models using ML, NLP, DL, and LLM techniques.</li></ul>Solution Deployment & Monitoring<ul><li>Collaborate with engineering and cross-functional teams to deploy models into production.</li><li>Develop and maintain monitoring processes to ensure model accuracy and data integrity.</li></ul>Communication & Reporting<ul><li>Present findings to both technical and non-technical audiences in clear, actionable terms.</li><li>Document processes, insights, and model behavior for transparency and reproducibility.</li></ul>Team Collaboration<ul><li>Participate actively in team meetings, share knowledge, and stay updated on data science trends and emerging technologies.</li></ul>What We’re Looking For (Must Haves):<ul><li>Experience with unstructured data processing.</li><li>Experience using Large Language Models (LLMs).</li><li>Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field (Master’s preferred but not required).</li><li>3–5 years of relevant data science experience (advanced degrees may substitute).</li><li>Proficiency in Python or R.</li><li>Hands-on experience in machine learning, statistical modeling, NLP, and deep learning.</li><li>Experience working with large datasets, preprocessing, and feature engineering.</li><li>Strong understanding of business domains such as life insurance or similar industries.</li><li>Ability to independently manage full project lifecycles: scoping → planning → execution → communication.</li><li>Strong written and verbal communication skills.</li></ul>Preferred (Nice-to-Have Skills):<ul><li>Master’s or PhD in a relevant field.</li><li>Prior experience in life insurance or related industries.</li><li>Publications, patents, or research contributions.</li><li>Familiarity with software engineering practices, version control, or deployment pipelines.</li><li>Certifications such as AWS ML Specialty or Google Professional Data Engineer.</li><li>Proven success collaborating within cross-functional teams.</li></ul>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Decreasing Comments	Product Metrics	Easy	Very High

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