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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

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?

Swiggy Salaries by Position

Job Profile: Product Manager IILocation: Bangalore | KarnatakaYears of Experience: 4-6 Y Team Details and Job Summary: As a Product Manager II, you will own the user experience for merchant and driver payouts, streamlining processes and reducing friction to boost NPS. You will act as the custodian of corporate, tax, and tech compliance for the organization, ensuring adherence to all relevant regulations. Additionally, you will identify opportunities to minimize costs, with a key focus on improving the bottom line of Swiggy. What qualities are we looking for?<ul><li>An ideal candidate should have 4-6 years of PM experience </li><li>Must be obsessed with understanding customers' needs/aspirations and advocating - working to create products that are consumer-backward.</li><li>You should be data-obsessed with the ability to ask the right questions and gather insights</li><li>Collaborate effectively with functional stakeholders across Business, Technology, and Design to prioritize, develop, and deliver products in an agile environment</li><li>Manage the full product lifecycle - ideation, defining features, user research, writing specifications, and tracking performance metrics.</li><li>Must not just be okay with, but thrive in an entrepreneurial set-up</li></ul> What will you get to do here?<ul><li>You will create the product roadmap that makes the Swiggy Finance systems scalable, compliant and robust </li><li>Work closely with business stakeholders to define key problem areas and identity solution directions using data and on-ground insights</li><li>Work closely with Engineering, design, and analytics teams to define the sprint and own the delivery.</li><li>Present the sprint outputs in demo days & other forums to leadership & broader organization.</li></ul> Former entrepreneurs if you have ever started up! We want to talk to you!To summarize, we need ‘game changers’ who Never Settle !! Do you have what it takes? Please give us a holler! Visit our tech blogs to learn more about some of the challenges we deal with:<a>https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6</a><a>https://bytes.swiggy.com/swiggy-distance-service-9868dcf613f4</a><a>https://bytes.swiggy.com/the-tech-that-brings-you-your-food-1a7926229886</a> We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

Ways of working - Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter. About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fueled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India.From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. Data Science at SwiggyData Science and applied ML is ingrained deeply in decision making and product development at Swiggy. Our data scientists work closely with cross-functional teams to ship end-to-end data products, from formulating the business problem in mathematical/ML terms to iterating on ML/DL methods to taking them to production. We own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics. We also encourage open sharing of ideas and publishing in internal and external avenues. About the Ads Monetization TeamThis team is responsible for building and optimizing ML solutions for the full lifecycle of ads across both Food and Instamart Business lines, everything from sourcing the right set of ads to pricing them to targeting them via personalized and multi-objective-optimized user-response models. Ads being one of the highest throughput and lowest latency systems at Swiggy, we are also maniacally focused about delivering pragmatic and scalable solutions. What you will do<ul><li>You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance.</li><li>You will mine and extract relevant information from Swiggy's massive historical data to help ideate and identify solutions to business and CX problems.</li><li>You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.</li><li>You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggy's problem statements.</li><li>You will publish and talk about your work in internal and external forums to both technical and layman audiences.</li></ul> Qualifications<ul><li>Bachelors or Masters degree in a quantitative field with 0-2 years of industry/research lab experience</li><li>Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles</li><li>Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems</li><li>Preferred: Experience working with ‘big data’ and shipping ML/DL models to production</li><li>Required: Strong proficiency in Python, SQL, Spark, Tensorflow</li><li>Required: Strong spoken and written communication skills</li><li>Big plus: Experience in the space of ecommerce and logistics.</li></ul> We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law".

Job Profile: Senior Data Scientist- RecommendationsLocation: Bangalore | KarnatakaYears of Experience: 6 - 10 years About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fueled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India.From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. ABOUT THE TEAM & ROLE:The Data Science team at Swiggy builds innovative data science products that power unique customer experiences beginning from the time you launch the app until the order is delivered. This team builds state of the art Machine Learning/Deep Learning models at scale.As a Senior Data Scientist in the Recommendations & Ranking team, you will work on problems that impact millions of customers. What qualities are we looking for?<ul><li>Masters/PhD in Computer Science or related field</li><li>A minimum of 6 years of industry experience with Data Science in product based organizations, including a minimum of 1 year experience in shipping recommendation/personalization models in high-throughput, low-latency settings</li><li>Strong Machine Learning fundamentals along with deep experience with Deep Learning</li><li>Strong problem formulation and solving skills.</li><li>Prior experience with working on terabyte-scale data in a Spark environment is required.</li><li>Prior experience with Python, SQL, TensorFlow/Pytorch is required and exposure to Scala is preferred.</li><li>Good product thinking and ability to map customer-backward problems to ML-led solutions.</li></ul> What will you get to do here?<ul><li>Formulate and implement innovative solutions to business problems using state of the art Machine Learning/Deep Learning models</li><li>Leverage Swiggy’s rich data at scale to build deeply personalized recommendation systems</li><li>Leverage our mature ML infrastructure to deploy models and conduct experiments</li><li>Work with and mentor fellow Data Scientists</li><li>Contribute and co-own the product roadmap.</li></ul> Visit our tech blogs to learn more about some the challenges we deal with:<ul><li><a>https://bytes.swiggy.com/improving-search-relevance-in-hyperlocal-food-delivery-using-small-language-models-ecda2acc24e6</a></li><li><a>https://bytes.swiggy.com/new-user-product-recommendations-for-q-commerce-via-hierarchical-cross-domain-learning-0a7f97b25405</a></li><li><a>https://bytes.swiggy.com/reflecting-on-a-year-of-generative-ai-at-swiggy-a-brief-review-of-achievements-learnings-and-13a9671dc624</a></li></ul> *We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protected by the law*

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