Lead Machine Learning Scientist Jobs

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reduc

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The opportunity: We are seeking a Senior Product Manager to lead our Anti-Money Laundering (AML) detection product within Identity & Risk Intelligence. Financial crime keeps getting more complex, and as Adyen expands into new products and markets, our detection needs to scale with it - without becoming a bottleneck for growth. This role needs a Product Manager who can take a clear strategy and drive it to execution, make strong trade-offs, and build trust with Compliance and other senior stakeholders. You need a track record of building ML-driven products in a regulated environment. You'll lead a team of Data Scientists, Data Analysts and Backend Engineers, and work closely with Compliance, Operations and other product teams. What you'll do: Risk Detection & ML Modeling: Lead the build and scaling of Machine Learning models, rules and risk signals that detect financial crimes across Adyen's products, markets and customer base. Scalable, Self-Service Detection: Move financial crime detection toward a self-service framework that picks up new typologies quickly, using ML, GenAI and agentic approaches to reduce manual effort and keep pace with Adyen's growth without adding headcount. Strategy Execution & Prioritization: Own the execution of the financial crime detection strategy. Prioritize ruthlessly, make data-driven

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Marketplace organization at Lyft is responsible for accelerating the growth of the business while delivering on key business and financial metrics, and Pricing sits at the heart of it. The Dynamic Pricing & Offer Selection team uses real-time and historical data to set the price of every ride on Lyft, balancing price and ETA so riders have a great experience and drivers have earning opportunities when and where demand is highest. We also decide which ride options a rider sees, which makes our systems one of the highest-traffic, most business-critical services at the company. We're a tightly integrated team of software engineers and data scientists spread across the US and Canada. Engineers and scientists work side by side to take machine learning and optimization models from research to production while scaling our systems to handle more volume. We are looking for an Engineering Manager to lead a group of 6-8 engineers. You'll own the reliability and evolution of dynamic pricing systems that operate at Lyft's full scale, partner closely with our technical and product leadership to define the roadmap, and grow a strong team of engineers. This is a hands-on leadership role for someone who enjoys going deep on technical tradeoffs, cares equally about operational excellence and business outcomes, and is energized by working in a fast-paced environment with high impact. Responsibilities: Execution and Planning Own and drive engineering execution for the team's roadmap, from planning through delivery, adapting as priorities and business conditions change Define the team's engineering vision and short- and mid-term plans in partnership with Science and Product, making clear tradeoffs between technology, product and business needs Facilitate cross-functional decision-making and resolve blockers with

About the Role & Team We’re looking for an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment at Amplitude. You will lead a multidisciplinary team of software engineers, data engineers, and data scientists responsible for the systems that power experimentation at scale. The team owns three critical areas: Data ingestion: Collecting and importing experiment exposures, custom events, OpenTelemetry data, and real user monitoring data across SDKs, streaming systems, cloud storage, and customer data warehouses. Data computation: Building distributed computation systems that transform raw data into accurate, timely experiment results. Stats engine: Developing and productionizing the statistical methods that help customers make trustworthy decisions from their experiments. This is not a traditional data engineering management role. We are looking for a leader with a solid data science and statistical foundation who can connect advances in experimentation methodology with scalable production systems. You will help set our technical and scientific direction, translating new statistical methods and machine learning research into capabilities that customers can use reliably at scale. You’ll partner closely with data scientists, engineers, product managers, and customers to advance the state of experimentation. The ideal candidate is equally comfortable discussing causal inference and statistical power with data scientists, distributed computation architectures with engineers, and experimentation strategy with customers. What You’ll Do Lead and grow the team responsible for Statsig’s data ingestion, experiment computation, and stats engine. Define the technical and scientific strategy for advancing experimentation across both Statsig Cloud and warehouse-native deployments. Partner with data scientists and engineers to turn new statistical and causal inference methods into scalable, reliable product capabilities. Evolve our data and computatio

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment. You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products. Responsibilities: Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience Provide strong technical guidance and coaching to the team on complex data science problems Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies Mentor and guide the professional and technical development of your team members; help develop the

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid’s Network Health team protects Plaid and our network from fraud and abuse. We build robust, intelligent yet flexible risk platforms and services to empower risk detection, mitigation, and resolution across all Plaid products and applications. As Engineering Manager for Network Health, you will lead a growing, deeply technical team responsible for risk engineering at Plaid. You will set the long-term strategy and roadmap, translate evolving fraud scenarios and business requirements into technical priorities, and drive execution with a high technical bar. You will manage and grow software engineers, partner closely with embedded data scientists and machine learning engineers, and work hands-on with the data to identify trends and opportunities. This role is well suited to a high-agency leader who thrives in ambiguity and wants to remain close to the work while shaping a critical new team. Responsibilities: You’ll lead a team of 5 engineers and 2 embedded data scientists, developing them through clear goal setting, coaching, and feedback. You’ll drive the long-term Network Health strategy and roadmap, in close partnership with technical and product leaders across Plaid You’ll u

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation and causal inference. We’re hiring multiple Data Science Managers across different areas of the business. All of these roles are at the same level. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope and team at the end of the process, based on your background, interview performance, preferences and current business needs. We’re also advertising some opportunities separately where particular domain experience is especially relevant. You only need to submit one application, as we’ll consider your profile across all suitable Data Science Manager vacancies. Before an offer is made, you’ll have the opportunity to meet the proposed team, either virtually or at our London headquarters, and learn more about the role’s scope and priorities. What You’ll Be Doing You’ll own the analytical direction and measurable impact of a product or business area, while leading and developing a high-performing team of data scientists or machine learning engineers. Our Data Science Managers work across a range of consumer, product and commercial areas. Depending on the team you join, your work could focus on areas such as customer retention and loyalty, pricing and promotions, discovery and personalisation, or customer acquisition and engagement. Across all roles, you’ll lead and develop your team,

Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn't just possible—it's essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement, we're redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers. If you're driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. About the Role: We are seeking a Product Design Manager to lead and grow our Product Design team in Bengaluru. This is a player-coach role: you'll spend part of your time managing and developing a team of designers, and part of your time as a hands-on p

About the job Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing? With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We’ve recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team! Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com . What you will be doing You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions — from classical machine learning models to LLM-powered applications — and the pipelines that power them. You’ll bring senior technical judgment to architecture and model decisions, partner closely with clients and business stakeholders — including hands-on pre-sales work shaping pr

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise. What you’ll do Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership. Responsibilities Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven. Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. Lead and manage proc

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Smart Manufacturing I4.0 Analyst at Micron Technology, Inc., you will enable new frontier technology for Smart manufacturing especially in the area of Smart Die Matching, speed, quality and reliability predictions to define and drive end to end smart manufacturing solutions, coordinated across functions of the business. We will look into applying industry-leading methodologies in automation, AI and machine learning to improve Micron’s product development, business and administrative processes across the company. Responsibilities and Tasks Partner with Assembly, Test, Probe, Product & Quality group to drive AI transformation in Smart Die matching as well as SMBP, Machine learning predictions enabling new insights and innovative solutions for Technology acceleration. Conceptualize, Prototype and productize innovative solutions using artificial intelligence, big data to improve/revolutionize Micron manufacturing performance such as Smart Die Matching, SMBP as well as other prediction projects Participate/Lead End-to-End project teams comprising of Data Scientists, Industry 4.0 analysts, Solution Architects & Data Engineers. Provide domain insights into available data, identify gaps

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As Figma’s customer base continues to expand and diversify, and new technological advancements in AI and generative design emerge, the opportunity for AI experience engineering is greater than ever. You’ll collaborate closely with a cutting edge AI Research team and your work will help raise the ceiling of what’s possible for designers and lower the floor of who can design. We are seeking an accomplished and experienced AI Product Engineer who has built generative AI products to join our team and lead our AI efforts from inception to implementation. Join us in molding the future of AI at Figma! This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead the development of early-phase AI systems to enhance user experience and develop systems to measure and improve AI performance and relevance Direct the future of AI at Figma in collaboration with cross-functional teams of innovative software engineers, product managers, and data scientists Break down open-ended AI problems into engineering strategies utilizing machine learning, data analysis, and experimental design Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture Contribute to the growth of the team by improving the hiring process and recruiting outstanding AI talent We’d love to hear from you if you have: 5+ years of experience of Software Engineering, with 1 or more years of developing generative

Consulting Director Based in Séoul Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing? With over 1000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, LVMH ... Artefact is a consulting firm that transforms data into value and business impact. We’re opening our first Korean office in Séoul, and we want you to join us to build the business in Korea! Who we are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 300+ client base around the globe. We have 800 employees across 14 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. Find out more at Artefact.com What you will be doing Key responsibilities Having recently opened our first office in Séoul, we are looking for a Director to join Artefact consulting practice and grow our footprint within the Korean market. As an experienced consultant, you will play a key role in winning and overseeing consulting engagements, serving as primary contact with clients, assuming the lead role with internal teams o

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value . Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling . As an Analytical Engineering Manager, you lead a team of Analytical Engineers who own the data foundations for the business: the Gold layer, canonical metrics, certified dashboards, and semantic layer that make Asana's most important numbers trustworthy, and that make AI-powered self-serve through Claude and Databricks Genie actually work. You sit at the intersection of Data Engineering, Analytics, and Data Science, and you are accountable for whether business stakeholders trust the data in your team's domains and can answer their own questi ons without routing through your team. This role is based in our Warsaw office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Lead, grow, and develop a team of Analytical Engineers: Own hiring, coaching, performance, and career growth, setting a high bar for data-model quality and stakeholder trust. Own the Gold layer and semantic-layer strategy across your team's domains (e.g. PLG, marketing, revenue, NPI/AWM), taking accountability for curated data models, canonical metrics, dashboards, and Genie spaces. Treat every recurring insight as a product with an owner, a cadence, and an SLA, building a catalog of trusted, versioned data products instead of one-off rebuilds. Drive self-serve enablement by prioritizing Go