Philo is building the future of television. Our product lets you watch your favorite shows on all the devices you care about, with seamless playback, insightful discovery, and effortless sharing. In short, we’re building the TV experience that we’ve always wanted for ourselves. We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion.

Philo

Lead Data Scientist

Lead Data Engineer

Ad Experience Product Manager

The Lead Data Scientist will be responsible for setting the roadmap and model best practices for data science work, leading complex analytical projects, establishing methodological standards, coaching and mentoring data scientists, collaborating with other teams to identify opportunities, developing frameworks for measuring impact, and building a culture of experimentation and continuous improvement. They will also represent the data science team in cross-functional leadership discussions. This role requires strong leadership, methodological rigor, and the ability to deliver high-impact solutions for the streaming service. This role requires strong leadership, methodological rigor, and the ability to deliver high-impact solutions for the streaming service. Philo is a streaming service that is looking for Lead Data Scientists to elevate data science practices.

<div>Philo: a streaming service for TV and movie lovers At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data Science at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo’s data pipeline processes nearly 8 trillion events per year into our petabyte scale data lake, where we run over 30k ETL and BI queries every day to bring data-driven insights to our team. On the Data Science team, we’re looking for people who excel at deep statistical and data modeling, experimentation, and identifying actionable insights on a variety of interesting engagement, content discoverability, acquisition, and retention-related problems across our streaming service. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service. In addition, you’ll work with stakeholders in other departments to understand our business needs and deliver business-focused data insights to help the entire team thrive. We are passionate about problem-solving and providing data-informed insights through rigorous statistical methods, using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, Cursor, GrowthBook, Robyn, Superset, and PyTorch, as well as SaaS tools such as Segment, Redshift, SageMaker, AWS Glue, Mode, Avo, and BigEye. Some of the recent projects our Data Science team members have worked on include: <ul> <li>Building multi-touch attribution models to optimize customer lifetime value and calculate RoAS (Return on Ad Spend)</li> <li>Modeling to determine which early product behaviors predict conversion and retention</li> <li>Running experiments to evaluate and improve our ML-based content recommendation/personalization system</li> <li>Building data models for analysis of lifecycle marketing communications impact</li> <li>Modeling to analyze the impact of Quality of Experience events (e.g. rebuffering) on customer engagement and other business metrics.</li> <li>Price sensitivity research and competitive market analyses.</li> </ul> The Role Philo is looking for a Lead Data Scientist to join our team and help elevate our data science practice. This role will provide senior leadership, establish methodological rigor, and coach our data science team to deliver high-impact analytical solutions. You have strong opinions about what high-quality Data Science work looks like and are impact oriented. You can work across multiple business units and have a keen sense of how to connect Data Science outputs to organizational KPIs. Responsibilities: <ul> <li>Set the roadmap and model best practices for data science work at Philo</li> <li>Lead complex analytical projects that drive significant business value collaborating with stakeholders in the C-Suite&nbsp;</li> <li>Establish and evangelize methodological standards for data science work</li> <li>Coach and mentor data scientists to elevate the team’s technical capabilities</li> <li>Collaborate with product, engineering, and business teams to identify new opportunities</li> <li>Develop frameworks for measuring impact of data science initiatives</li> <li>Build a culture of experimentation and continuous improvement</li> <li>Represent the data science team in cross-functional leadership discussions</li> </ul> Key Qualifications: <ul> <li>10+ years of professional experience in data science/analytics with demonstrated proficiency in Python, SQL, or R and statistical modeling</li> <li>3+ years of experience leading data science teams and managing complex statistical projects</li> <li>Deep expertise in statistical methods and causal inference</li> <li>Strong experience in experimental design and A/B testing</li> <li>Deep experience in building a robust and scalable data model as the foundation for both analysis and advanced modeling</li> <li>Proven track record of delivering high-impact data science projects that scale</li> <li>Experience mentoring junior data scientists and raising team capabilities</li> <li>Excellent communication skills with ability to translate complex findings into business insights through effective data visualization and dashboards</li> <li>Strong business acumen and ability to connect analytics to business outcomes</li> <li>Experience with modern data science tools and technologies, including Python, Cursor, dbt, GrowthBook, and BI dashboarding tools</li> </ul> Ideal Qualifications: <ul> <li>Experience in media/streaming industry with understanding of viewer engagement metrics and content performance analysis</li> <li>Knowledge of recommendation systems and personalization algorithms using PyTorch or similar frameworks</li> <li>Experience with productionizing machine learning models in cloud environments like AWS SageMaker</li> <li>Familiarity with data visualization best practices and experience creating executive-level dashboards</li> <li>Experience with marketing mix modeling, multi-touch attribution, and customer lifetime value optimization</li> </ul> More about Philo At Philo, we’re a company that puts people first—both our subscribers and our team. Our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. Transparency and openness are fundamental to our company culture. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV. We believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo offers access to top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery, Food Network, Hallmark, HGTV, History, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, WE tv, and more, along with groundbreaking originals and blockbuster movies included with AMC+. Our service also includes 80+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 75,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York and Cambridge, MA. Our leadership team includes a co-founder of Facebook and alums from Meraki and HBO, backed by NEA and industry partners like Discovery, Viacom, AMC, and A&amp;E. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote Compensation: Includes annual salary between $172K-$237K depending on experience and location, company stock options, and health benefits We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: <ul> <li>Full health, dental and vision coverage for you and your family</li> <li>401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay)</li> <li>Flexible working hours</li> <li>Up to 20 weeks of fully paid parental leave</li> <li>Unlimited paid time off for vacation and sick leave</li> <li>$2,000 annual vacation bonus (we pay you to take a two week vacation)</li> <li>$5,250 annually for professional development and educational assistance</li> <li>$1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter)</li> <li>$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco)</li> <li>Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps</li> <li>Dog-friendly office</li> <li>And much more!</li> </ul> For California Residents:<a href="https://about.philo.com/ccpa-notice/"> Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors</a> Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</div>

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Accenture

Procure to Pay Operations New Associate

Sales Operations New Associate

Sales Operations Associate

Procure to Pay Operations Associate Manager

Customer Service Associate

Vimeo

Vice President, Sales & Account Management, EMEA

Mercury

Senior Financial Partnerships Manager - Payments

Staff Product Designer - Accounting

Take-Two Interactive

Cybersecurity Analyst

You will be part of the Finance Operations vertical, focusing on the Procure to Pay - Invoice Processing. Your responsibilities include collecting operational data, conducting analysis, reconciling transactions, boosting vendor compliance, improving discount capture, and confirming pricing and terms before payment. You will also manage the accounting of goods and services, from requisitioning to purchasing and receiving, overseeing the end-to-end procurement and financial process. The Accounts Payable Processing team handles incoming invoices, verifying accuracy, matching with purchase orders and delivery receipts, and initiating payments, often utilizing automated systems for efficiency.

Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and . Accenture helps organizations deliver on their promises to stakeholders and provide exceptional value. They help to improve the way that the world works and lives.

Application Lead

Customer Service Analyst

Application Architect

Quality Engineer (Tester)

Product Owner

Skill required: Procure to Pay - Invoice Processing Designation: Procure to Pay Operations New Associate Qualifications:Any Graduation Years of Experience:0 to 1 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions. boosting vendor compliance, cutting savings erosion, improving discount capture using preferred suppliers, and in confirming pricing and terms prior to payment. Responsible for accounting of goods and services, through requisitioning, purchasing and receiving. Also look after order sequence of procurement and financial process end to end. The Accounts Payable Processing team focuses on designing, implementing, managing and supporting accounts payable activities by applying the relevant processes, policies and applications. The team is responsible for timely and accurate billing and processing of invoices, managing purchase and non-purchase orders and two-way and three-way matching of invoices. Refers to the systematic handling and management of incoming invoices within a business or organization. It involves tasks such as verifying the accuracy of the invoice, matching it with purchase orders and delivery receipts, and initiating the payment process. Automated systems and software are often employed to streamline and expedite the invoice processing workflow, improving efficiency and reducing the likelihood of errors. What are we looking for? Ability to meet deadlines •Ability to perform under pressure •Problem-solving skills • Detail orientation •Ability to establish strong client relationship •Finance and Accounting •Excel •Good Communication skills both written and verbal Roles and Responsibilities: •In this role you are required to solve routine problems, largely through precedent and referral to general guidelines • Your primary interaction is within your own team and your direct supervisor • In this role you will be given detailed instructions on all tasks • The decisions that you make impact your own work and are closely supervised • You will be an individual contributor as a part of a team with a predetermined, narrow scope of work • Please note that this role may require you to work in rotational shifts

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