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Aeg 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 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?

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

Aeg Salaries by Position

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Staff Software Engineer Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients. About the team The Software Engineering team is looking for qualified staff software engineers to lead and own the development of a variety of business essential products. A few examples are microservices and apis, data stream processing via Kafka, Kubernetes development and optimization, devtools development like SDKs and CLIs, Database optimization and scaling, observability stack development, cloud cost optimization, and more. Responsibilities: <ul> <li>Be the technical lead and owner for key products of our core backend applications.</li> <li>Perform code reviews and provide constructive feedback.</li> <li>Find optimizations in current applications, implement best practices, and ensure adherence to coding standards.</li> <li>Design and enhance both new and existing services.</li> <li>Work with globally distributed data.</li> <li>Participate in discussions and create and review architectural diagrams.</li> <li>Have a deep understanding of high-traffic, client-facing APIs and networking topology.</li> </ul> Qualifications: <ul> <li>8+ years of production software engineering and technical leadership experience.</li> <li>A creative mind for solving technically difficult problems in both standard and non-standard ways.</li> <li>Hands-on production experience with languages like NodeJS & Python.</li> <li>Hands-on production experience with databases, both relational and non-relational.</li> <li>Passionate about reliability, high availability, automation, observability, coding standards, and global scale.</li> <li>Strong communication skills working with technical and non-technical stakeholders</li> <li>You have a BS or higher in CS/CE/SE or relevant experience.</li> </ul> Preferred: <ul> <li>Production experience with software engineering at a global level.</li> <li>Interest or experience with GO.</li> <li>Production experience with stream-processing paradigms like Kafka.</li> <li>Production experience with Docker and Kubernetes.</li> <li>Familiarity with sports data.</li> <li>Production experience working with low latent globally distributed data.</li> <li>Production experience developing, deploying and maintaining critical business applications</li> <li>Understanding of various observability platforms.</li> <li>Knowledge of CI/CD</li> </ul> Base salary: $140,000 - 190,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Job Summary: The Detroit Red Wings are currently seeking a Full Stack Software Engineer to join our software engineering team within Hockey Operations. You will work on applications that are used by front office personnel, coaches, and scouts to impact success across all levels of the organization. This position will report to the Director of Statistical Analysis. Key Responsibilities: <ul><li>Work with the engineering and data teams to design, develop and maintain internal software applications.</li><li>Contribute to an efficient and effective software development ecosystem.</li><li>Write clean, concise, and efficient code across the entire stack.</li><li>Design and write tests.</li><li>Troubleshoot and debug software issues as they arise.</li><li>Support the integration of hockey analysis into our proprietary tools and applications.</li><li>Other projects or responsibilities as directed by Hockey Operations leadership. </li></ul> Required Knowledge, Skills and Abilities: <ul><li>BS degree in Computer Science, similar technical field of study, or equivalent experience.</li><li>1+ years of experience developing web applications in a production environment.</li><li>Ability to work across the stack, from back end to front end - you don't have to be an expert at all layers, but you should have exposure to each.</li><li>Professional experience at least one of:</li><li>Modern web front end development, including at least one popular single-page web application framework (JavaScript).</li><li>Java backend development or another object-oriented language.</li><li>Familiarity with RESTful APIs.</li><li>Experience working with relational databases and SQL.</li><li>Eagerness and ability to learn new technologies as necessary.</li><li>Experience embracing dynamic and diverse workloads.</li></ul> Preferred Knowledge, Skills and Abilities: <ul><li>Ability to work in all phases of the product lifecycle, including requirements-gathering, design, testing, and implementation.</li><li>Experience with React.</li><li>Experience with Node.js</li><li>Experience with JavaScript visualization tools such as D3 or Plotly.</li><li>Familiarity with Microsoft Azure Cloud Computing platform</li><li>Experience with DevOps practices and technologies (CI, CD, containers, etc.)</li><li>Experience deploying and working with web applications in the cloud.</li><li>Understanding of User Experience principles and practices.</li><li>Experience working with Azure.</li><li>Experience in the sports industry or with sports data, specifically the sport of hockey, hockey-specific data, and modern statistical techniques.</li></ul> Working Conditions: <ul><li>Office environment.</li><li>The location may be based in Detroit or fully remote.</li><li>Occasional evening, weekend, and holiday hours may be required.</li></ul> All items listed above are illustrative and not comprehensive.They are not contractual in nature and are subject to change at the discretion of Detroit Red Wings. Detroit Red Wings is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested. PRIVACY POLICY

Position Summary: The Business Analytics Manager will be responsible for supporting the Business Analytics team's effort to propel data-driven decision-making within the organization. The ideal candidate will have a strong background in data analysis, statistics, business intelligence and data engineering. Your responsibilities will require developing consumer insights, conducting trend analyses, maintaining Tableau dashboards, and building ETL pipelines. Ultimately, you will be responsible for transforming data into actionable insights to support the company's goals - from data gathering to reporting and visualization. Additionally, the role will involve collaborating with internal partners and performing ad hoc performance reports. Essential Functions: • Create and maintain Tableau dashboards and automated reporting that communicate KPIs and other business metrics to stakeholders • Analyze trends related to sales pacing, customer retention, local market trends, marketing campaigns performance and loyalty to develop recommendations for business strategy and marketing effectiveness • Oversee the collection, storage and integration of data from various sources, ensuring accuracy, completeness and consistency of data • Work closely with cross-functional teams (Sales, Marketing, Finance, Operations) to understand their analytics needs and provide solutions to streamline their processes and drive business outcomes • Collaborate with CRM Coordinator on back-end Salesforce development • Other responsibilities as assigned by the Senior Director, Business Analytics. Qualifications & Requirements: • 3+ years of experience in statistics, marketing analytics, data analytics and/or business analytics • Proven analytical skills including the ability to rapidly learn new data tools • Strong analytical skills, data interpretation, and problem-solving skills • Strong communication skills, both written and verbal • Proficiency in SQL • Proficiency in Python • Experience with Salesforce, particularly on back-end development • Experience with visualization software such as Tableau / Power BI • Experience working in sports and/or in the live entertainment industry is a plus Suggested Education & Experience Guidelines: • Bachelors degree in quantitative field (economics, statistics, computer science, or data analytics) preferred We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. About IMG Academy Named by Sports Business Journal as one of the Best Places to Work in Sports in 2024, IMG Academy is the world's leading sports education brand, providing a holistic education model that empowers student-athletes to win their future, preparing them for college and for life. IMG Academy provides growth opportunities for all student-athletes through an innovative suite of on-campus and online experiences: <ul> <li>Boarding school and camps, via a state-of-the-art campus in Bradenton, Fla. </li> <li>Online coaching via the IMG Academy+ brand, with a focus on personal development through the lens of sport and performance </li> <li>Online college recruiting, via the NCSA brand,providing content, tools, coaching and access to a network of 40,000 college coaches </li> </ul> Position Summary The Senior Data Analystwill be responsible for leading the design and implementation of analytics solutions as part of the Sales Operations Team. This position provides data, analysis, insights and recommendations in support of the company's fiercely data-driven decision-making culture in sales, marketing, and financial domains. The Sr. Data Analyst is responsible for partnering cross-functionally across the organization to understand business goals, define questions and methods for answering them. Working close with the data teams, this position makes use of multiple data sources, analysis tools and statistical frameworks to construct analytical outputs, reporting and dashboards in support of daily operations, new initiatives, and the development of sales and marketing strategies. The position serves as an internal thought leader for decision-making around one or more major areas of business focus, serving as subject matter expert for senior management, operational leaders, and the sales and marketing teams. Position Responsibilities <ul> <li>Help the Sales Ops. Team cultivate cross-functional partnerships across departments, bringing insights to every corner of our operation as part of a collaborative, collegial learning culture.</li> <li>Provide analytic leadership and guidance to other members of the Sales Ops. team, offering thoughtful and timely coaching and effective feedback.</li> <li>Grow, mentor and manage analytics delivery of other Jr Analysts</li> <li>Partner with leadership in Marketing, Sales, and Operations to solicit analytics business requirements and frame actionable questions.</li> <li>Partner with the data team to perform data processing, querying and analysis to answer business questions and provide actionable insights.</li> <li>Use visualization tools to communicate stories with data, creating reporting, dashboards, KPI monitoring and self-service tools to make data and insights available for stakeholders.</li> <li>Partner with data team to identify and address limitations in data sources, data quality, tooling, or performance bottlenecks in analytics delivery.</li> <li>Be the subject matter expert on the business process and information flows</li> <li>Seek opportunities to perform 'data pioneering' for identifying new opportunities for analysis and insight generation while maintaining focus on reuse and repurposing of frameworks across domains.</li> </ul> Knowledge, Skills and Abilities <ul> <li>Experience and understanding of how modern analytics frameworks are constructed to define questions and answers using applied statistical methods.</li> <li>Strong data process definition and refinement skills, with an instinctive understanding for identifying areas of opportunity or challenge and methods for providing a clear analysis.</li> <li>Ability to construct models for forecasting and tracking business performance in support of sales, marketing, operations, or financial domains.</li> <li>Familiarity with data analysis using R or Python.</li> <li>Expertise composing complex SQL queries for relational databases.</li> <li>Hands-on experience building custom visualizations using Tableau.</li> <li>Experience with modern data warehouse tools like Snowflake, Big Query, or Redshift.</li> <li>Experience leading cross-functionally in situations requiring collaboration, negotiation, and communication of complex analyses to non-technical or senior management audiences.</li> <li>Experience working as a team player with other data scientists and engineers; always looking to make things better and easier for co-workers.</li> <li>Excellent visual, verbal, and textual communication and presentation skills; extremely strong skills for using data to tell stories, especially counter-intuitive or controversial ones.</li> <li>Highly self-motivated, self-directed, resourceful, and autonomous; capable of managing multiple simultaneous deliverables with proactive status updates and requests for support.</li> <li>Strong problem-solving skills with the ability to pinpoint and resolve problematic issues quickly and efficiently.</li> <li>Comfortable working in a fast paced and dynamic environment.</li> <li>Bachelor's or master's degree in a quantitative discipline (Mathematics or Social Science).</li> <li>5+ years' data analytics experience in a commercial or scientific setting.</li> <li>Experience supporting critical analytics delivery in a fast-paced environment.</li> <li>Experience working across functional, product and engineering teams.</li> <li>Experience using task management and collaboration software such as Jira and Confluence.</li> <li>Experience with distributed version control and software development lifecycle methods.</li> <li>Exposure to Agile Development or the Scrum project management methodology a plus.</li> </ul> #LI-TR1 Background Requirements: <ul> <li>Requires a background check upon offer </li> <li>Requires a drug test upon offer </li> </ul> Don't meet every single requirement? We are dedicated to building a diverse, inclusive, authentic workplace, so if you're excited about this role but your past experience doesn't align perfect with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Get to know us better: www.imgacademy.com www.imgacademy.com/careers IMG Academy provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition.We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is hiring Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products.We're hiring a Data Scientist to support our Sports Data Models. Duties: <ul> <li>Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.</li> <li>Develop contextualized feature sets using specific domain knowledge in soccer.</li> <li>Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.</li> <li>Strive to constantly improve model performance using insights from rigorous offline and online experimentation.</li> <li>Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.</li> <li>Adhere to software engineering best practices and contribute to shared code repositories.</li> <li>Document modeling work and present to stakeholders and other technical and non-technical partners.</li> </ul> Requirements: <ul> <li>Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area</li> <li>Demonstrated experience developing models at production scale for soccer or sports betting</li> <li>Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods</li> <li>Minimum of 3+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting</li> <li>Experience with relational SQL & Python</li> <li>Experience with source control tools such as GitHub and related CI/CD processes</li> <li>Experience working in AWS environments etc</li> <li>Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions</li> <li>Excellent communication skills to both technical and non-technical audiences</li> </ul> Base salary: $100,000-175,000 (encompasses multiple levels and depends on experience) Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. The IRONMAN Group operates a global portfolio of events that includes the IRONMAN Triathlon Series, the IRONMAN 70.3 Triathlon Series, 5150 Triathlon Series, the Rock 'n' Roll Running Series, IRONKIDS, World Triathlon Championship Series, Epic Series mountain bike races including the Absa Cape Epic, road cycling events including Haute Route, and other multisport races. The IRONMAN Group is the largest operator of mass participation sports in the world and provides more than a million participants annually with the benefits of endurance sports through the company's vast offerings. Since the inception of the iconic IRONMAN brand and its first event in 1978, athletes have proven that ANYTHING IS POSSIBLE by crossing finish lines around the world. Beginning as a single race, The IRONMAN Group has grown to become a global sensation with hundreds of events across 55+ countries. For more information about The IRONMAN Group visit: www.ironman.com. At The IRONMAN Group, our mission is to celebrate the power of the human spirit, fulfill dreams and uplift communities by organizing world-class events and extraordinary athletic experiences, globally. We accomplish this through our amazing staff across the globe who are committed to our core values - Heart, Excellence, Ambition, Respect and Teamwork (HEART). Reporting to the Director of Business Analytics, the Senior Digital Marketing Analyst is responsible for analyzing website data, marketing campaigns, user behavior, and purchase pathways to identify strategic insights and implement activities to increase customer conversion rates and improve marketing performance. This position brings strong project management skills, multichannel thinking, organization, analytical aptitude, teamwork and confident leadership to every problem or opportunity. Main duties and responsibilities: <ul><li>Utilize Google Analytics and other relevant tools to collect and analyze data related to website and app traffic, user engagement, conversion rates, and other key performance indicators.</li><li>Utilize Google Tag Manager to identify events and success measures to correctly track the business, as well as maintain the UTM/tracking structure to accurately measure marketing channel performance.</li><li>Provide reporting, analysis and insights across all channels, including email, paid media, push notifications, web, and app to inform stakeholders of campaign performance and optimization opportunities. </li><li>Develop and implement A/B tests and other experiments to optimize conversion funnels, landing pages, and product displays.</li><li>Maintain ongoing monitoring dashboards and support stakeholders in self-service of information from baseline dashboards to drive data driven decision making.</li><li>Analyze online user behavior and optimize the customer journey to increase conversion rates.</li><li>Utilize HubSpot's analytics tools to monitor campaign data, conversion rates, lead generation, and other key performance metrics. Develop and maintain HubSpot dashboards and reports to provide real-time insights.</li><li>SEO Analytics (Bing, Google) etc</li><li>Other duties as required.</li></ul> The right candidate: <ul><li>Has proven experience as a Digital Marketing Analyst or similar role, with a track record of driving data-based improvements.</li><li>Be an expert in Google Analytics, Google Tag Manager.</li><li>Has experience with HubSpot, Tableau, Microsoft Power BI, and other relevant analytics tools. </li><li>Can create dashboards and deliver insights to stakeholders.</li><li>Demonstrate problem solving and creative skills.</li><li>Communicate effectively with globally distributed teams, in various time zones.</li><li>Keep a positive, but realistic, attitude even under pressure.</li></ul> Requirements Qualifications: <ul><li>Bachelor's degree is required.</li><li>3-5 years of experience as a Digital Marketing Analyst or similar role.</li><li>Experienced Google Analytics, Google Tag Manager user.</li><li>Good technical problem solving and interpersonal skills necessary to assist others in problem resolution.</li><li>Able to work in a fast paced, team environment.</li><li>Excellent oral and written communications skills.</li></ul> Workplace Setting: <ul><li>This is a hybrid role spending 3 days per week on-site at the corporate offices in Tampa, FL</li></ul> The above declarations are not intended to be an "all inclusive" list of duties and responsibilities of the job described, nor are they intended to be such a listing of the skills and abilities required to do the job. Rather, they are intended only to describe the general nature of the job and are a reasonable representation of its activities. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events - from concerts and festivals to sports and theater - at some of the most iconic venues in the world. Since our founding in 2011, we've consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today. We're passionate about improving the fan experience and providing game-changing solutions for our clients, and we're always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. The Role The Senior Product Manager will lead product development and management efforts for one of AXS's most critical enterprise solutions. This role is responsible for driving the vision, strategy, and execution of a key product within our broader client platform, used by clients for end-to-end event management. This role will work closely with cross-functional teams, including engineering, design, business operations, and client account managers, to deliver capabilities and feature sets that meet the complex needs of our clients. This role will bring their passion for being customer-obsessed along with a well-grounded perspective in the discipline of product management. This role will collaborate closely with the Director of Product to align on and communicate the product vision and strategy, as well as build out a robust strategic roadmap. What Will You Do? <ul> <li>Collaborate with cross-functional teams to define and execute the product roadmap with an informed strategic vision and clearly defined goals</li> <li>Work closely with UX designers, engineers, data analysts, and other stakeholders to ensure the successful delivery of high-quality products on time and within budget</li> <li>Own discovery and scope development by forming hypotheses, defining objectives and key results, and assessing options that will provide best outcomes</li> <li>Develop detailed process maps, functional specifications and user stories as needed during the product discovery and lifecycle</li> <li>Partner with internal stakeholders to define scalable solutions that meet current and future product needs</li> <li>Implement test-and-learn frameworks to continuously improve and iterate on product capabilities from MVP to Scale</li> <li>Work closely with software engineering counterparts to define product requirements and implementation pathways and strategies</li> <li>Responsible for defining, and tracking product KPIs</li> <li>Use data-driven decision making to identify opportunities and track product performance</li> <li>Communicate with leadership and business stakeholders on project status, product vision and future roadmap initiatives</li> </ul> What Will You Bring? <ul> <li>BA/BS Degree (4-year) (Advanced Degree Preferred) Bachelor's Degree or equivalent experience required; degree in Business, Management Information Systems, Computer Science or related field preferred.</li> <li>4-6 years previous Product Management experience with Agile development, working directly with IT/Engineering and business stakeholders</li> <li>Experience with integrated B2B2C/B2B products and emerging trends</li> <li>Experience working in a complex global technology company is preferred</li> <li>Experience in the live entertainment, ticketing, or adjacent industries (such as sports, venue management, or hospitality) is a plus</li> <li>Highly organized individual who is detail oriented with a proven ability to manage and execute cross functionally to solve complex problems</li> <li>Strong communication and collaboration skills. Should be able to simplify complex ideas, navigate cross-functional teams, build relationships, influence decisions, and deliver on shared objectives</li> <li>Demonstrated ability to define the problem, analyze the data and processes to identify creative solutions and drive incremental improvement</li> <li>A good balance of understanding business processes, and technical and functional knowledge</li> <li>Curious, driven and diligent problem solver with a willingness to learn, challenge the status quo and collaborate to make an impact</li> <li>A Test and Learn Mindset</li> <li>Certified Product Owner a plus</li> </ul> Pay Scale: $105,247- $157,871 What's in it for You? <ul> <li>Extraordinary People - we're not kidding!</li> <li>Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.</li> <li>Opportunities for learning and leveling up through training and education reimbursement.</li> </ul> More about AXS AXS, a subsidiary of AEG, sells millions of tickets each year for over 500 premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Clients include First Avenue, USGA, Red Rocks Amphitheatre, Crypto.com Arena, Coachella, Stagecoach, The O2, and B.League (Japan). Headquartered in Downtown Los Angeles, California, AXS employs more than 500 professionals in multiple locations worldwide. In each location you'll find a team of dedicated, diverse employees (we've dubbed ourselves "Fanatix") who create groundbreaking products and services in a fun, fast-paced environment. To learn more about our culture and values, visit: https://solutions.axs.com/careers/ More about AEG For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. We are dedicated to a diverse, inclusive and authentic workplace, so if you're excited about this role but can't "check every box" in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles. We're an equal opportunity employer and never discriminate based on gender, age, race, religion, color, national origin, sexual orientation, marital status, veteran status, or disability status. AEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship.AEG may require an employee to perform duties outside their normal description.

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition.We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is looking for a Tennis Data Scientist to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. Duties: <ul> <li>Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.</li> <li>Develop contextualized feature sets using sports specific domain knowledge.</li> <li>Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.</li> <li>Strive to constantly improve model performance using insights from rigorous offline and online experimentation.</li> <li>Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.</li> <li>Adhere to software engineering best practices and contribute to shared code repositories.</li> <li>Document modeling work and present to stakeholders and other technical and non-technical partners.</li> </ul> Requirements: <ul> <li>Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area</li> <li>Minimum of 1 year of demonstrated experience developing models at production scale for tennis or sportsbook at scale</li> <li>Minimum of 3 years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting</li> <li>Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods</li> <li>Experience with relational SQL & Python</li> <li>Experience with source control tools such as GitHub and related CI/CD processes</li> <li>Experience working in AWS environments etc</li> <li>Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions</li> <li>Excellent communication skills to both technical and non-technical audiences</li> </ul> Base salary: $110,000-175,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition.We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is looking for an NFL Data Scientist to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. Duties: <ul> <li>Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.</li> <li>Develop contextualized feature sets using sports specific domain knowledge.</li> <li>Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.</li> <li>Strive to constantly improve model performance using insights from rigorous offline and online experimentation.</li> <li>Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.</li> <li>Adhere to software engineering best practices and contribute to shared code repositories.</li> <li>Document modeling work and present to stakeholders and other technical and non-technical partners.</li> </ul> Requirements: <ul> <li>Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area</li> <li>Demonstrated experience developing models at production scale for football or sports betting</li> <li>Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods</li> <li>4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting</li> <li>Experience with relational SQL & Python</li> <li>Experience with source control tools such as GitHub and related CI/CD processes</li> <li>Experience working in AWS environments etc</li> <li>Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions</li> <li>Excellent communication skills to both technical and non-technical audiences</li> </ul> Base salary: $107,000-175,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.

Department:  Baseball Operations, Research and Development  Supervisor:  Sr. Director, Research and Development  Classification:  Full-Time/Exempt  Location:  Houston, TX

The Houston Astros baseball organization is accepting applications for a Data Engineer to join our Research & Development team within Baseball Operations. We are seeking an applicant to support the growth of our data architecture using cloud-based data lake technologies. This role will work within a team of software developers supporting the broad need of Baseball Operations and will be central to the workflow of departments across the organization, including opportunities to interface with and understand the needs of other departments and drive creative solutions.

Essential Functions & Responsibilities  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.    Collaborate with the team on the design and implementation of a cloud-based data architecture.
Leverage Spark-based solutions to develop and maintain data processing pipelines that provide efficient access to data at various stages of transformation.
Integrate structured, semi-structured, and unstructured data sources, handling various formats including Parquet, JSON, and more.
Automate workflows and monitoring procedures to promote a maintainable infrastructure.
Write clean and iterative code and leverage continuous integration practices to deploy, support and operate data pipelines.
Interact with stakeholders internal to R&D (research analysts, application developers, ) and external to understand their needs from our architecture and data.
Participate in a rotating on-call schedule to tend to any immediate issues with our architecture and data.
Perform other duties as assigned.

Qualifications     Experience with one or more cloud platforms such as Azure, AWS, GCP.
Experience building and maintaining ETL processes with Databricks, Snowflake, or other data lake technologies.
Experience with Apache Spark (especially PySpark) a plus.
Proficiency with Python, including best practices and OOP design.
Proficiency with SQL and relational database structures.
Experience working on software teams and promoting software development best practices, including continuous integration, documentation, process automation, and monitoring.
Resilient in evolving environments and advocates for technical excellence.

Work Environment  This job operates in an office setting. This role routinely uses standard office equipment such as computers, phones and photocopiers. The noise level is usually moderate but can be loud within the stadium environment.

Physical Demands  While performing the duties of this job, the employee is occasionally required to stand; walk; sit (for long periods of time); use hands to handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee may occasionally lift or move equipment, up to 20 pounds. Specific vision abilities required by this job include close and focused vision.

Position Type and Expected Hours of Work  Ability to work a flexible schedule, including extended hours, evenings, weekends, and holidays.

Travel  Some travel may be expected in this role.

Other Duties  Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

EOE/M/F/Vet/Disability
Experience
Preferred   5

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