Data Science Manager - Machine Learning at Lyft Ads

About the Role Lyft Ads is looking for a Data Science Manager with a focus on machine learning. This manager will guide a team of data scientists and work closely with others to develop advertising solutions that improve the platform’s performance. The role centers on applying machine learning expertise to shape insights and strategies for Lyft Ads.

Lyft’s Business team is hiring a Machine Learning Engineer to develop algorithms and models that improve operations and customer experience. This position plays a key part in shaping how Lyft’s services perform by turning data into actionable insights. What you will do Design and build machine learning models to support Lyft Business operations Develop algorithms that enhance service quality and efficiency Work with data to uncover insights that inform business decisions Location This role is based in New York, NY or San Francisco, CA.

About CookUnity:CookUnity was born out of a desire to restore the soul of food, connecting people with chefs who create meals that nourish, inspire, and unite us. Since its inception in 2018, CookUnity has emerged as a pioneering platform delivering 50 million meals annually from top-tier chefs to homes across the nation. Our meals are fresh, ready-to-eat, and crafted with care, embodying the essence of nourishment that transcends the plate.As we continue to evolve, CookUnity is setting its sights beyond meal delivery, transforming into a dynamic marketplace with the mission to empower chefs to nourish the world.If this mission resonates with you, we invite you to explore this exciting opportunity.The Role:We are in search of a Senior Manager, Data Science and Machine Learning to spearhead the next chapter of innovation at CookUnity. This role transcends conventional analytics; you will architect the machine learning and experimentation framework necessary for delivering personalized and intelligent product experiences at scale.In this pivotal position, you will define the strategic vision that guides our data science initiatives and product roadmap. You will lead a dedicated team focused on predictive modeling, personalized experiences, experimentation frameworks, and cutting-edge machine learning capabilities that enhance customer engagement, retention, and lifetime value. This high-impact role is designed for an individual who can think strategically about the future of product science while actively driving technical implementation.

Join Spotify's innovative Ads Research and Development team as a Senior Machine Learning Engineer, where you will lead the charge in developing advanced algorithms that enhance our advertising capabilities. Your expertise in machine learning and data analysis will be crucial in driving impactful decisions and improving the overall user experience.

At Lyft, we are driven by a mission to connect people and enhance transportation accessibility. We strive to create a workplace where every team member feels valued and empowered to excel. The Pricing team plays a pivotal role in Lyft’s ecosystem, setting the prices for our rideshare offerings while supporting innovative initiatives. Our Dynamic Pricing & Offer Selection team is at the forefront of this effort, dedicated to optimizing pricing and estimated times of arrival (ETAs) in real-time to effectively manage supply and demand within our two-sided marketplace, ultimately boosting both immediate and long-term customer retention. As an Applied Scientist focused on Machine Learning and Operations Research, you will engineer mathematical models and deploy algorithms that guide critical pricing and ETA decisions. Your expertise will be instrumental in developing machine learning and optimization models and in building production pipelines capable of handling millions of requests daily, addressing significant business challenges that greatly influence our marketplace dynamics and rider satisfaction. You will engage with a variety of real-world problems across optimization, prediction, machine learning, and inference, collaborating with a diverse team of professionals including Product Managers, Engineers, and Analysts within the Pricing domain. We are seeking individuals who thrive in a fast-paced, innovative, and impactful environment and who can adeptly navigate complexity and efficiency to transform tangible business challenges into dependable solutions and decision-making frameworks.

About Oden Technologies:Oden Technologies is a pioneering force in the manufacturing sector, leading the charge in the fourth industrial revolution. We harness the power of real-time applications, combining contextual and process data with cutting-edge machine learning (ML) and artificial intelligence (AI) algorithms. Our innovative approach is unlocking unparalleled opportunities to enhance the efficiency and productivity of manufacturing processes.At Oden, we empower manufacturing operations teams with our advanced platform, enabling them to continuously monitor, analyze, and optimize production across a diverse array of processes and conditions. Our mission is to maximize efficiency, sustainability, and competitiveness within the manufacturing landscape, helping True Makers Make Things Better!Our CultureCustomer obsession is at our core. Every decision we make is driven by our commitment to delivering exceptional outcomes and delighting our customers. Our team prioritizes work based on the ultimate impact on the customer. We believe in going to the Gemba – we readily engage with the production floor to collaborate with managers and enhance our understanding.We thrive on speed and accountability. Our team embraces transparent and scientific thinking, acting swiftly to explore the best ideas collaboratively.We support one another through direct and honest feedback, maintaining high standards to foster team growth and success.“Be True Makers to Serve True Makers.” We are dedicated to building a community that sparks innovation and accelerates our impact. We are always on the lookout for better, even unconventional, solutions that simplify complexity and drive meaningful progress.The RoleAs a Junior Machine Learning Data Engineer, you will play a crucial role in researching, developing, and implementing data and machine learning pipelines that support operations teams in effectively managing and optimizing the manufacturing process. Your work will involve creating applications that provide continuous predictions regarding quality, cost, and potential machine failures, delivering real-time process optimization recommendations, and identifying anomalies for instant alerts.

Spotify is seeking a Machine Learning Engineering Manager to lead its Personalization team in New York, NY. This position guides both engineers and data scientists as they build and refine machine learning systems that deliver personalized content to millions of listeners. Key responsibilities Direct the design, development, and rollout of machine learning algorithms that power Spotify’s content personalization. Mentor and support a team of engineers and data scientists, encouraging technical growth and strong collaboration. Coordinate with product, design, and other groups to ensure personalization strategies align with company objectives. Lead initiatives that apply data and machine learning to enhance user experiences on the platform. Role focus This role centers on advancing Spotify’s personalization capabilities through technical leadership, team development, and close partnership with cross-functional teams.

Join Us in a Unique Fusion of Art and Science! Known is a cutting-edge marketing agency designed to tackle the extraordinary challenges and opportunities faced by marketers in today's landscape. With a team of over 200 talented individuals, we blend the expertise of PhD data scientists with award-winning creatives, strategists, engineers, and research experts to deliver innovative and impactful creative solutions. Our philosophy centers around the belief that true collaboration among creativity, science, strategy, and technology leads to remarkable outcomes. Recognized by Ad Age as a leading full-service agency, we proudly hold the distinction of being ranked #3 on The A-List and have been named Ad Age’s Data & Insights Agency of the Year for two consecutive years. Our partnerships with top-tier clients across finance, technology, entertainment, media, CPG, real estate, and more have propelled us to receive prestigious accolades, including Emmys, Clios, Effies, Cannes Lions, and Digiday’s Most Innovative Media Agency. Our proprietary AI analytics and optimization platform, SKEPTIC™, drives our agency's success and has garnered recognition as a pioneering force in marketing technology. Notably, it was named one of the Next Big Things in Tech by Fast Company and earned awards for Best Marketing Analytics Platform and Best AI Platform from Digiday. At Known, we are committed to hiring exceptional talent that embodies our values of curiosity, innovation, and continuous improvement. Our team is a blend of remote and hybrid workers, fostering a dynamic and inclusive work environment. Now, Let’s Discuss Your Potential Role! As a key member of Known’s Media Science team, you will leverage advanced analytics, machine learning, and statistical models to strategize and optimize advertising expenditures, ensuring our clients achieve outstanding results. Join us in redefining the marketing landscape!

At StubHub, we are dedicated to transforming the live event experience on a global scale. Our mission is to ensure that whether someone is attending their first event or their hundredth, we provide unmatched delight from the moment they start searching for tickets until they step through the gate. We equally prioritize our sellers, from fans offering a single ticket to promoters of worldwide stadium tours, making StubHub the safest and most convenient platform for millions of fans across the globe.The Data Science team, a vital part of the broader StubHub Data organization, is seeking a seasoned and dynamic Data Science Manager to lead a growing team (currently consisting of 6 members, spanning from entry-level data scientists to senior staff) across diverse data science disciplines.As the largest secondary ticketing marketplace worldwide, StubHub generates vast amounts of consumer data, which we utilize to address unique and compelling predictive and inferential challenges in user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. In your role as Data Science Manager, you will collaborate closely with business leaders to translate their long-term strategic goals into actionable machine learning projects executed by your team on a daily basis. Your ability to provide technical oversight while fostering individual growth will be crucial to your team's long-term success.Your responsibilities will also encompass the technical and personal development of your team members, enhancing talent density through targeted mentorship, strategic career development, and excellence in execution. You will need to plan for team structure and growth as we invest more in machine learning, particularly in understanding optimal methods for building and applying generative AI solutions within our products.Joining at a pivotal moment for the Data Science practice and the company, you will play an essential role in shaping our future. While the value of this discipline is well-established and we have a high-performing team in place, we are not at a steady state. Key investment areas include establishing new depths of technical expertise (e.g., causal inference, graph ML), advocating for top-tier ML tools/platforms, and broadening the integration of data science across the organization. As a senior leader in this team, you will be instrumental in shaping and realizing this vision.

Join TWG Group Holdings, LLC (TWG Global), a leader in driving innovation and transformation across diverse industries including financial services, technology, media, and sports. We harness the power of data and artificial intelligence (AI) as core assets to revolutionize business practices.Our AI-first, cloud-native solutions provide real-time insights and interactive applications, enhancing decision-making for our clients and employees alike. We are committed to ethical AI practices and ensuring compliance with regulatory standards. With a decentralized structure, each business unit operates autonomously, while a centralized AI Solutions Group and strategic partnerships with premier data and AI vendors promote groundbreaking advancements in marketing, operations, and product innovation.As a key player in our organization, you will work closely with management to elevate our data and analytics initiatives, boost productivity, and enable responsive, data-driven decisions. By leveraging connections with leading tech startups and academic institutions, you will foster competitive advantages and spearhead enterprise innovation.Your contributions will directly support our mission of sustainable growth and exceptional returns, delivering unparalleled value and impact across our operations.

Who is Nexxen?Nexxen is revolutionizing the advertising landscape with a data-driven approach that empowers advertisers, agencies, publishers, and broadcasters globally. Our innovative technology framework unifies a demand-side platform (DSP) and supply-side platform (SSP), anchored by the Nexxen Data Platform, to deliver meaningful advertising solutions.Why become a part of the Nexxen team?Join us in our mission to transform advertising through our flexible and creative solutions. At Nexxen, we value a culture that emphasizes the 3Cs - Customer Centricity, a Curious Mindset, and Collaboration without Ego. Become part of a dynamic team that thrives on commitment and ingenuity.Your Safety is Our PriorityAt Nexxen, we prioritize the safety and well-being of our employees. We are vigilant against online scams and fraudulent job postings. Please note that we will never ask for payment as a condition of employment or promote dubious financial schemes. If you encounter any suspicious communications, contact us at infosec@nexxen.com. Your trust is paramount; stay safe and informed.Position OverviewAs a Senior Machine Learning Engineer, you will join our Applied Data Science group within the Nexxen DSP Software Development team. This hands-on role involves collaborating closely with data scientists to develop cutting-edge data science infrastructure aimed at real-time performance optimization and machine learning applications. The ideal candidate will possess extensive experience in implementing machine learning technologies or data-driven algorithms, and should display a proactive and innovative mindset.We operate in a hybrid model, with team members working three days a week at our New York office and remotely for the remainder of the week.Key Responsibilities:Design and develop high-performance, large-scale services for Nexxen DSP programmatic integrations and platform products.Drive innovative solutions and implement machine learning algorithms for enhanced performance.

Join headway as a Senior Machine Learning Engineer and make a significant impact in the field of machine learning and artificial intelligence. In this role, you will leverage your expertise to develop innovative solutions, improve existing algorithms, and collaborate with cross-functional teams to drive forward our mission of transforming the healthcare experience.

Role Overview Spotify is hiring a Machine Learning Engineer focused on Personalization in New York, NY. This role centers on developing and applying machine learning algorithms to improve how users discover and enjoy music and podcasts. The work directly shapes the personalized experiences that keep listeners engaged and coming back. What You Will Do Design and implement machine learning models that tailor content recommendations to individual users Analyze user behavior and preferences to inform algorithm improvements Collaborate with product and engineering teams to integrate personalization features into the Spotify platform

Join Spotify as a Machine Learning Engineer and be at the forefront of innovation in music streaming. In this role, you will leverage cutting-edge machine learning algorithms and data-driven insights to enhance user experiences and drive business decisions. Collaborate with cross-functional teams to develop scalable solutions that improve our recommendation systems and user engagement.

Join our innovative team at Sunset Technologies as a Machine Learning Engineer. We are dedicated to pushing the boundaries of artificial intelligence and machine learning to deliver advanced solutions that enhance our products and services. You will be involved in designing, implementing, and optimizing machine learning models to analyze large datasets, develop predictive algorithms, and contribute to the overall growth of our technology stack.

Join our innovative Match Team as a Senior Machine Learning Engineer at Enigmaio, where you will play a pivotal role in developing advanced algorithms and models that enhance our matching capabilities. You will collaborate with cross-functional teams to design, implement, and optimize machine learning solutions that drive business outcomes.

DeepIntent combines data science, real-world clinical data, and strategic advertising to advance healthcare advertising. The company’s mission is to improve patient outcomes through data-driven solutions. More information is available at www.DeepIntent.com. Role overview The Director of Data Science leads global initiatives that shape DeepIntent’s healthcare advertising technology. This leader manages a distributed team working on advanced modeling, optimization, and AI projects. The team supports healthcare marketers in connecting patients, providers, and brands with care and efficiency. This position is responsible for driving predictive and privacy-compliant insights for precision marketing and measurable results. The Director collaborates with product, engineering, and commercial teams to deliver scalable, data-centric solutions, and oversees data scientists based in the U.S., Europe, and India. Leadership and strategy Partner with executive and cross-functional leaders to turn data science capabilities into scalable, compliant, and commercially valuable solutions. Implement the global data science roadmap to advance DeepIntent’s mission in healthcare marketing. Mentor and lead a geographically distributed team of data scientists across multiple regions. Encourage a culture that values innovation, experimentation, and collaboration. Contribute to strategic planning and identify opportunities where advanced analytics and AI can improve business outcomes. Healthcare-focused data science and AI Design and refine predictive and causal models for patient and provider outreach, audience segmentation, and campaign performance analysis. Oversee development and deployment of machine learning models for real-time bidding, healthcare audience modeling, and privacy-first identity resolution. Integrate real-world data, claims data, and digital engagement signals into scalable machine learning frameworks. Ensure all models and data science methods comply with healthcare privacy standards, including HIPAA and other global regulations. Location New York, New York

About the Role: We are looking for a talented and driven Machine Learning Engineer to become a vital member of our innovative team. In this position, you will spearhead the development and optimization of predictive machine learning models, primarily focusing on Ad Score and Ad Account Health. Your expertise will be essential in providing actionable insights and effective solutions for our clients, aligning perfectly with our mission.Key Responsibilities:Lead the creation and enhancement of predictive ML models, specifically targeting Ad Score and Ad Account Health.Perform comprehensive data analysis to uncover trends, patterns, and insights that guide model development and enhancement.Work in partnership with data engineers to establish and maintain feature engineering pipelines for model training.Utilize rigorous evaluation techniques to assess model performance and implement improvements.Collaborate with engineering teams to deploy models and ensure seamless integration into our products via APIs.Engage closely with product managers, full-stack engineers, and TPMs for the smooth incorporation of data science solutions into our offerings.Stay abreast of advancements in data science and machine learning, exploring innovative problem-solving techniques.

Join Schrödinger as a Machine Learning Platform Engineer, where you will play a crucial role in developing innovative machine learning solutions that drive advancements in scientific research and technology. You will collaborate with a talented team of scientists and engineers, leveraging cutting-edge tools and methodologies to enhance our computational platforms.Your expertise in machine learning algorithms and software engineering will be vital in creating scalable and efficient systems that facilitate data-driven decision-making. If you are passionate about harnessing the power of AI in scientific endeavors, we invite you to apply!

Join Lyft as a Senior Data Scientist specializing in Optimization, Central Market Management, and AI. In this pivotal role, you will leverage advanced analytics and machine learning techniques to drive data-driven decisions and enhance operational efficiency across our services. Collaborate with cross-functional teams to identify opportunities for optimization and develop innovative solutions that shape the future of transportation.