Senior Data Scientist jobs at P&G - 304 jobs

A cutting-edge data analytics firm in San Francisco is seeking a full-stack engineer to enhance user experiences and integrate AI tools within their platform. You will work on innovative projects that shape data interactions, collaborate with teams on product initiatives, and tackle UX challenges. Ideal candidates should possess 3+ years of software engineering experience, proficiency in React and Typescript, and a strong desire to work in AI development. This position offers a competitive salary and benefits, with a hybrid work model. #J-18808-Ljbffr

At Angi , we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: Homeowners have turned to Angi for more than 300 million projects 1,000+ home service tasks covered 2,800 employees worldwide Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. What you'll do: Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates - critical metrics for business success. Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Retirement plan with company match (401K) and parental leave benefits The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: The Senior Data Scientist will bring rigor to strategic initiatives across the Support Organization. As a Senior Data Scientist, you will be a core technical contributor to our Data Science and Analytics team with deep expertise in driving data-driven decision-making, data querying/munging, data visualization, and predictive analytics. You will work closely with Support, Product, and technical teams to translate business questions into quantitative analysis and deliver data-driven strategies. This role is open to candidates residing in the US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York). You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact-helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win-together. In this role, you will: Translate data into strategic insights via memos, presentations, dashboards, etc. to support decision-making for operational and leadership teams Building analytical models to identify patterns, anomalies, and root causes (e.g., analyzing ticket data to proactively identify common customer issues) Design and run A/B and other experiments and tests to evaluate AI solutions Build relationships with technical and non-technical stakeholders to understand data structures and business priorities Leverage SQL, Python/R to shape and analyze data Build a strong sense of product and data acumen (e.g. customer experience, data logging) Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: Advance degree in Statistics or other quantitative field (e.g., Applied Math, Engineering, Computer Science, Physics, etc.) 8+ years experience in a data-related role relevant (data science, data analyst, business analytics, business intelligence) Proficiency in data manipulation and processing in SQL, Python, and/or R Experience building statistical and other analytical models, preferably in Python or R Ability to communicate trends and learnings via data visualizations including Tableau Ability to effectively share project statuses and take ownership of tasks while handling competing priorities Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge Curious about our data, our product and excited to have an impact An ideal candidate also has: PhD in Statistics or other quantitative field Ability to scale models into automated pipelines A strong track record of cross-functional partnership Record of successful mentoring and development of team members Experience working with large datasets using distributed computing (e.g., Spark, Hive) The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience.$119,000-$200,000 USD At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Benefits Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email ********************************** or click here if you require any reasonable accommodations throughout the recruiting process. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in ‘@samsara.com' or ‘@us-greenhouse-mail.io'. For more information regarding fraudulent employment offers, please visit our blog post here.

Data Scientist (Principal, Staff, & Senior roles available) About the company KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold's business is discovering, defining, expanding, and developing mineral resources, and KoBold's objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures. KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors. Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates's Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman's Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP. We are hiring a Staff Data Scientist to help accelerate our mission. About the position In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold's world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities The Staff Data Scientist will: Help develop KoBold's proprietary software exploration tools. Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply data processing, statistical, and physics-based techniques to geoscientific data - from computer vision to geophysical inversions - and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Qualifications A great Staff Data Scientist candidate will have: Technical skills, including extensive experience with: Python's data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. Cloud computing resources. Building predictive models, applying them to different problems, and evaluating and interpreting the results. Data from a variety of physical systems. Geospatial analyses and visualizations. Technical knowledge: Broad skills in and knowledge of applied statistics and Bayesian inference Substantial understanding of machine learning algorithms Training and work experience: An advanced degree in the physical sciences, engineering, computer science, or mathematics. A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer. Experience leading technical teams to apply novel scientific approaches to core business problems Work practices and motivation: Ability to design, scope and implement technical solutions to novel exploration problems Enjoys constantly learning such that you are driving insights and innovations. Ability to explain technical problems to and collaborate on solutions with domain experts who aren't software developers. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Ability to independently prioritize multiple tasks effectively. It is also helpful but not required to have experience with: Creating machine learning models on geospatial data Geostatistics Image processing or computer vision Distributed computing applications for machine learning and other computations KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. The US base salary range for this full-time exempt position is $190,000-$235,000. Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada

At Angi , we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: Homeowners have turned to Angi for more than 300 million projects 1,000+ home service tasks covered 2,800 employees worldwide Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. What you'll do: Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates - critical metrics for business success. Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Retirement plan with company match (401K) and parental leave benefits The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote

Title: Senior Data Scientist for a Stanford Startup Full Time Job Requirements: A minimum of three years of experience working as a data scientist Experience in working with large data sets Strong experience in machine learning Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary Data cleanup, and data massaging experience Hands-on experience with R or Python type languages Any experience in doing well at Kaggle type competitions is a big plus Additional Information All your information will be kept confidential according to EEO guidelines.

SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton (UPenn). Job Description Title: Senior Data Scientist for a Startup Location: Princeton, NJ Full Time Job Requirements: A minimum of three years of experience working as a data scientist Experience in working with large data sets Strong experience in machine learning Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary Data cleanup, and data massaging experience Hands-on experience with Python / R type languages Any experience in doing well at Kaggle type competitions is a big plus PhD is a big plus Additional Information This is a Full time project

SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Job Description Title: Senior Data Scientist and Python developer Location: Princeton, NJ Full Time Salary + equity options We are looking for a very bright, senior data scientist that has worked on a variety of data modeling problems and was able to build good models out of highly skewed data sets. We also want this data scientist to be a good Python developer, as we are a Python shop. Requirement: * 5+ years of experience as a senior Data Scientist * Ability to create accurate models out of skewed data sets * Strong aptitude in increasing model accuracy through various techniques * Strong expertise in statistics, boosting, classification, regression, and machine learning in general * 10+ years of experience in coding and a few years of experience with Python * Experienced with Pandas, Numpy, etc in Python You must be interested in working for a startup that has many bright individuals from Ivy League schools, and you should be quite bright yourselves. Past startup experience and an ability to multi-task is very helpful. Additional Information This is a Full time project

SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Job Description Senior Data Scientist: someone with 5+ years of full time, work experience as a data scientist solving complex problems. Must be highly experienced with data cleanups, data wrangling, data transformation, feature engineering, anomaly handling, model development, model tune-ups, metric development to evaluate the model, ability to handle small data sets, creative in handling tough data problems and so on. A python background is desired, but we will also consider a R background. You should be able to demonstrate your past expertise in handling difficult problems. Additional Information This is a Full time project

SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Job Description Title: Senior Data Scientist for a Stanford Startup Location: Princeton, NJ Full Time Job Requirements: A minimum of three years of experience working as a data scientist Experience in working with large data sets Strong experience in machine learning Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary Data cleanup, and data massaging experience Hands-on experience with R or Python type languages Any experience in doing well at Kaggle type competitions is a big plus Additional Information All your information will be kept confidential according to EEO guidelines.

Vertiv is seeking a Sr. Data Scientist & Algorithm Developer to lead our Advanced Thermal Controls Algorithm Development efforts. This position understands and follows the new product development process and leads the ideation, design, testing and troubleshooting of Advanced Thermal Controls Logic and Algorithms. The Sr. Data Scientist & Algorithm Developer supports the Global Thermal Management business. This position interacts with and supports Global Design, Test Engineering, Thermal Controls, and Quality teams. Responsibilities: * Creating Algorithm test plans and executing the plan either through simulated bench or lab environments. * Owner of Thermal Controls Algorithm development, testing and verification in Thermal Controls Labs. * Compilation and advanced analysis of test data with a focus on model development. * Ideation, development, verification, and handoff of advanced algorithms and logic utilizing AI/ML methods for optimization, conditional based maintenance (predictive diagnostics), and/or operational excellence related to Thermal HVAC equipment to the Thermal Controls Development team. * Algorithm scope includes single component, single device, multi-device systems and multi-systems. * Familiarity with ML/AI technologies and a solid understanding of machine learning fundamentals, including MLP, CNN, SNN models, normalization and activation functions, forward/back propagation, and associated mathematics. * Lab testing for verification of benefits and presentation of these results to the Product Management teams. * Assist the Thermal Controls Development team in integrating algorithms into Controls architecture and platforms. * Assisting in roadmap generation and resource plans specifically for Thermal Controls Algorithm development. * Participates in sustaining activities for existing algorithms including diagnosis and resolution of related defects. * Responsible for keeping excellent, organized project records and documentation. * Product testing: Unit testing, system integration testing, and field-testing support * Leadership: Effective lead engineer, consistent positive attitude, creativity, accepts broad responsibility * Other tasks and activities as required by management Requirements: * Bachelor's Degree/Master's Degree (MS or higher) or foreign equivalent with strong emphasis on software: Computer Science, Controls Engineering, Data Science/Engineering, Software Engineering, Electrical/Mechanical Engineering; Preferred engineer with PhD and industrial experience. * At least 5 years related experience * Required expertise with HVAC, data manipulation and algorithm design: * HVAC experience (5 years) * Experience with data manipulation, data modeling and analysis * Experience with real HVAC testing (propose, execute, evaluate) * Experience with control design, numerical optimization, machine learning, artificial intelligence * Experience with development and implementation of complex mathematical algorithms * Preferred expertise with software programming languages including but not limited to: * Matlab, Simulink, Python, C/C++ * MySQL Server, SQL * TensorFlow, Keras, Scikit-learn, PyTorch, Nvidia AI Labs * LabView and associated Data Acquisition systems and protocols * Familiarity with software development environments and tools: * Git, GitHub, GitLab, Rally, Code Composer Studio IDE, ST32CubeIDE, and Eclipse IDE toolsa plus * Fluent in English * Up to 10% travel The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities. OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion. OUR STRATEGIC PRIORITIES * Customer Focus * Operational Excellence * High-Performance Culture * Innovation * Financial Strength OUR BEHAVIORS * Own It * Act With Urgency * Foster a Customer-First Mindset * Think Big and Execute * Lead by Example * Drive Continuous Improvement * Learn and Seek Out Development About Vertiv Vertiv is a $8.0 billion global critical infrastructure and data center technology company. We ensure customers' vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 20,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more. Work Authorization No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to ********************.

LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs Adapt and enhance established, sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem Collaborate closely with peer technical leads to identify priorities, risks and solutions Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements Engage with cutting-edge data science techniques to address complex, large-scale data challenges Qualifications Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience Minimum of 10 years' experience in a data science capacity Extensive experience applying Agile methodologies Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python Well-versed in using MLflow and comparable tools Familiarity with Qlik, React or other data visualization platforms Robust analytical, conceptual, and problem-solving skills Active DoD Secret clearance required; Top Secret clearance preferred Target salary range: $104,040 - $183,600 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Senior Data Scientist - Promo Analytics **Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position. INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success-so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Your Role on Our Team: As a Senior Data Scientist - Promo Analytics, you will deliver innovative analytics solutions that enable Milwaukee Tool to make fast, data-driven decisions about promotional strategies. Working closely with business partners and the Promo Analytics pod, you will design, build, and support the core systems that power our promo analytics capabilities. You will develop scalable machine learning models and forecasting tools to optimize promotions, ensuring trusted and actionable insights across the organization. You'll build deep expertise in our promotional data and drive advanced analytics initiatives. Success in this role requires curiosity, a passion for experimentation, and the ability to operate independently while effectively engaging with stakeholders to elevate our team and deliver value to our customers. You'll be DISRUPTIVE through these duties and responsibilities: Design and build machine learning and forecasting models to optimize promotional strategies and deliver measurable business value. Develop, validate, and deploy advanced statistical and ML models for pricing, promotion, and revenue management. Translate business needs into actionable data science projects and deliverables within the promo analytics domain. Apply best practices in model development, experimentation, and continuous improvement to ensure analytics excellence. Analyze large, complex datasets using Databricks, Azure, and other modern data platforms to uncover actionable insights. Build and maintain analytics tools and templates to support team productivity and solution delivery. Conduct root cause analysis for promo analytics issues and contribute to long-term remediation and reliability improvements. Collaborate with Data Engineers, Product Owners, Business Intelligence Engineers, and other technical team members in a pod structure. Work directly with marketing and sales teams to understand business challenges and deliver impactful analytics solutions. Perform other duties as assigned. The TOOLS you'll bring with you: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field, or equivalent experience. 5 or more years of experience in data science, advanced analytics, or a closely related technical field. Advanced proficiency in statistical modeling, machine learning, and analytics techniques. Proficiency in at least one programming language used for data science (Python preferred) Hands-on experience building, validating, and deploying machine learning and forecasting models in production environments. Experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar). Demonstrated ability to develop and implement statistical and ML models for business impact, ideally in pricing, promotion, or revenue management. Knowledge of experimental design, A/B testing, and model evaluation best practices. Ability to work independently and collaboratively within cross-functional teams. Strong problem-solving, debugging, and analytical skills, especially in complex, multi-system environments. Ability to thrive in agile, dynamic, and collaborative teams, and to communicate complex analytics clearly to technical and non-technical audiences. Other TOOLS we prefer you to have: Experience with advanced machine learning techniques (e.g., time series forecasting, causal inference, uplift modeling, optimization, or reinforcement learning). Familiarity with promo, pricing, or revenue management analytics. Experience with Databricks, Azure Machine Learning, or similar cloud-based data science platforms. Experience with experimentation frameworks (A/B testing, multivariate testing). Knowledge of data visualization tools (e.g., Power BI, Tableau, matplotlib, or similar). Experience working with large, complex datasets in a business context. Experience collaborating in Agile, cross-functional teams. Strong communication skills for presenting complex analytics to technical and non-technical audiences. Working Conditions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace Sitting for prolonged periods of time Prolonged exposure to computer screens Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection May work in laboratories and/or controlled, enclosed, restricted areas Noise levels range from moderate to loud Must be able to lift up to 50 pounds at a time May require travel dependent on company needs We provide these great perks and benefits: Robust health, dental and vision insurance plans Generous 401 (K) savings plan Education assistance On-site wellness, fitness center, food, and coffee service And many more, check out our benefits site HERE. Milwaukee Tool is an equal opportunity employer.

Aurora is working to deliver the benefits of self-driving technology safely, quickly, and broadly. We are searching for a Senior Safety Data Scientist to support the development of quantitative safety arguments and tooling infrastructure. You will apply statistical analysis, machine learning, and probabilistic modeling to inform safety strategy and support external safety communications. You will collaborate with stakeholders across software, systems, hardware, data science, data infrastructure, operations, product, legal, and government relations to shape the future of autonomous vehicle safety. In This Role, You Will: Design and deploy safety related data pipelines, models, tooling, and infrastructure in partnership with technical and non-technical stakeholders. Execute in-depth safety analysis on operational and simulation data, distilling complex findings into immediate, actionable risk mitigation strategies. Implement safety-related initiatives in alignment with safety goals and best practices. Develop safety related processes and reporting for organizational, operational, and product data to ensure accuracy and consistency. Support the identification of systemic, latent, and emerging risks in fleet operations to advance root cause analyses and implement appropriate risk management measures. Define and evolve safety metrics by designing and validating novel measures using hypothesis testing and exploratory analysis. Audit and validate technical safety evidence and artifacts spanning the breadth of self-driving technology (hardware, software, and operations) to ensure alignment with quantitative safety arguments and regulatory standards through enterprise tool suites Conduct root cause analysis for safety issues and support the formulation of specific, data-backed corrective actions. Lead the quantitative development of internal and external reports (e.g., Voluntary Safety Self Assessment) and public statements, ensuring safety arguments are statistically robust. Present and expertly communicate the output of technical analysis to both technical and non-technical audiences. Development of new processes and procedures related to safety metrics, data integrity, and issue handling. Required Qualifications Bachelor's/Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent technical experience. 5+ years of industry experience solving complex problems Proficiency in programming languages such as Python and R Experience building and deploying models using Amazon Web Services (AWS) tools, e.g. AWS Bedrock, Redshift Experience working with data transformation tools such as DBT Knowledge and experience with relational databases (SQL) and data warehouses Strong skills for querying, analyzing, and visualizing large datasets Expertise in applied statistics, exploratory data analysis, hypothesis testing, and probabilistic modeling Experience in machine learning techniques Effective written and verbal communication skills to present work with, and present technical analysis to, both technical and non-technical audiences Ability to work independently and as part of a cross-functional team Desirable Qualifications Experience working in a safety-related domain Knowledge of automotive domain and relevant safety standards Experience in the Autonomous Vehicles, Aerospace, or Robotics domains The base salary range for this position is $146,000 - $211,500 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-SP1 #Mid-Senior

About the role: The Senior Data Scientist will bring rigor to strategic initiatives across the Support Organization. As a Senior Data Scientist, you will be a core technical contributor to our Data Science and Analytics team with deep expertise in driving data-driven decision-making, data querying/munging, data visualization, and predictive analytics. You will work closely with Support, Product, and technical teams to translate business questions into quantitative analysis and deliver data-driven strategies. This role is open to candidates residing in the US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York). You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact-helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win-together. In this role, you will: Translate data into strategic insights via memos, presentations, dashboards, etc. to support decision-making for operational and leadership teams Building analytical models to identify patterns, anomalies, and root causes (e.g., analyzing ticket data to proactively identify common customer issues) Design and run A/B and other experiments and tests to evaluate AI solutions Build relationships with technical and non-technical stakeholders to understand data structures and business priorities Leverage SQL, Python/R to shape and analyze data Build a strong sense of product and data acumen (e.g. customer experience, data logging) Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: Advance degree in Statistics or other quantitative field (e.g., Applied Math, Engineering, Computer Science, Physics, etc.) 8+ years experience in a data-related role relevant (data science, data analyst, business analytics, business intelligence) Proficiency in data manipulation and processing in SQL, Python, and/or R Experience building statistical and other analytical models, preferably in Python or R Ability to communicate trends and learnings via data visualizations including Tableau Ability to effectively share project statuses and take ownership of tasks while handling competing priorities Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge Curious about our data, our product and excited to have an impact An ideal candidate also has: PhD in Statistics or other quantitative field Ability to scale models into automated pipelines A strong track record of cross-functional partnership Record of successful mentoring and development of team members Experience working with large datasets using distributed computing (e.g., Spark, Hive)

About Helion We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future with unlimited clean electricity. Our vision is a world with clean, reliable, and affordable energy for everyone. Since Helion's founding in 2013, we have raised over $1 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors SoftBank and Lightspeed to propel us forward. Our last prototype, Trenta, completed 10,000 high-power pulses and reached plasma temperatures of 100 million degrees Celsius (9 keV). We are now operating Polaris, our next prototype on the path to the world's first fusion power plant. This is a pivotal time to join Helion. You will tackle real-world challenges with a team that prizes urgency, rigor, ownership, and a commitment to delivering hard truths - values essential to achieving what no one has before. Together, we will change the future of energy, because the world can't wait. What You Will Be Doing: Helion is hiring a Plasma Data Scientist specializing in physics‑grounded machine learning to accelerate experimental FRC plasma modeling. This role will focus on developing and validating advanced ML frameworks-such as differentiable‑physics models, PINNs, surrogate modeling, or hybrid physics+ML systems-while integrating these tools with simulation and diagnostics pipelines. You will support cross‑disciplinary fusion research and contribute to high‑impact modeling that informs experimental design and interpretation. This onsite position reports to the Experimental Science Manager at our Everett, WA office and plays a key role in advancing fusion electricity development. You Will: Develop and validate machine‑learning frameworks for FRC plasma‑dynamics, leveraging physics‑grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or hybrid physics+ML systems) Integrate ML models with existing simulation tools and experimental‑diagnostic pipelines to enable hybrid physics + data‑driven validation workflows Reproduce experimental plasma conditions within ML modeling workflows to support interpretation of magnetic diffusion, circuit response, and diagnostic measurements Generate analysis scripts for post‑processing, parsing model outputs, and visualizing correlations between ML‑based predictions and experimental results Collaborate with plasma‑physics, pulsed‑power, and transient‑magnetics experts to expand the fidelity and fusion‑relevance of ML‑enabled modeling frameworks Communicate results with rigor and clarity through reports, presentations, and technical visualizations for research stakeholders Required Skills: PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling 10+ years of industry or research‑lab experience applying machine learning in experimental, simulation‑driven, or scientific R&D environments Expertise with physics‑informed or physics‑constrained ML methods, such as differentiable physics, PINNs, scientific ML, surrogate modeling, or reduced‑order models for complex physical systems Experience integrating ML models with scientific‑computing workflows, simulation tools, or experimental diagnostics Proficiency scripting for data parsing, model analysis, and visualization (MATLAB, Python, or similar; Fortran or HPC exposure valuable) Familiarity with magnetic diffusion, circuit coupling, or plasma‑dynamics modeling in pulsed‑power or electromagnetics systems #LI-Onsite #LI-TG1 Total Compensation and Benefits Helion's compensation package includes a competitively benchmarked base salary, meaningful equity grants, and comprehensive benefits. Final compensation is determined through a holistic evaluation of your experience, qualifications, and our commitment to internal equity - ensuring fairness and transparency across our teams. We are committed to fostering a fair and equitable environment in every aspect of our operations, including compensation. This is an exempt salaried role. Annual Base Pay $250,000 - $290,000 USD Benefits Our total compensation package includes benefits, including but not limited to: • Medical, Dental, and Vision plans for employees and their families • 31 Days of PTO (21 vacation days and 10 sick days) • 10 Paid holidays, plus company-wide winter break • Up to 5% employer 401(k) match • Short term disability, long term disability, and life insurance • Paid parental leave and support (up to 16 weeks) • Annual wellness stipend Helion is an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need assistance or an accommodation during the interview process, please let us know.

We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future with unlimited clean electricity. Our vision is a world with clean, reliable, and affordable energy for everyone. Since Helion's founding in 2013, we have raised over $1 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors SoftBank and Lightspeed to propel us forward. Our last prototype, Trenta, completed 10,000 high-power pulses and reached plasma temperatures of 100 million degrees Celsius (9 keV). We are now operating Polaris, our next prototype on the path to the world's first fusion power plant. This is a pivotal time to join Helion. You will tackle real-world challenges with a team that prizes urgency, rigor, ownership, and a commitment to delivering hard truths - values essential to achieving what no one has before. Together, we will change the future of energy, because the world can't wait. What You Will Be Doing: Helion is hiring a Plasma Data Scientist specializing in physics‑grounded machine learning to accelerate experimental FRC plasma modeling. This role will focus on developing and validating advanced ML frameworks-such as differentiable‑physics models, PINNs, surrogate modeling, or hybrid physics+ML systems-while integrating these tools with simulation and diagnostics pipelines. You will support cross‑disciplinary fusion research and contribute to high‑impact modeling that informs experimental design and interpretation. This onsite position reports to the Experimental Science Manager at our Everett, WA office and plays a key role in advancing fusion electricity development. You Will: * Develop and validate machine‑learning frameworks for FRC plasma‑dynamics, leveraging physics‑grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or hybrid physics+ML systems) * Integrate ML models with existing simulation tools and experimental‑diagnostic pipelines to enable hybrid physics + data‑driven validation workflows * Reproduce experimental plasma conditions within ML modeling workflows to support interpretation of magnetic diffusion, circuit response, and diagnostic measurements * Generate analysis scripts for post‑processing, parsing model outputs, and visualizing correlations between ML‑based predictions and experimental results * Collaborate with plasma‑physics, pulsed‑power, and transient‑magnetics experts to expand the fidelity and fusion‑relevance of ML‑enabled modeling frameworks * Communicate results with rigor and clarity through reports, presentations, and technical visualizations for research stakeholders Required Skills: * PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling * 10+ years of industry or research‑lab experience applying machine learning in experimental, simulation‑driven, or scientific R&D environments * Expertise with physics‑informed or physics‑constrained ML methods, such as differentiable physics, PINNs, scientific ML, surrogate modeling, or reduced‑order models for complex physical systems * Experience integrating ML models with scientific‑computing workflows, simulation tools, or experimental diagnostics * Proficiency scripting for data parsing, model analysis, and visualization (MATLAB, Python, or similar; Fortran or HPC exposure valuable) * Familiarity with magnetic diffusion, circuit coupling, or plasma‑dynamics modeling in pulsed‑power or electromagnetics systems #LI-Onsite #LI-TG1 Total Compensation and Benefits Helion's compensation package includes a competitively benchmarked base salary, meaningful equity grants, and comprehensive benefits. Final compensation is determined through a holistic evaluation of your experience, qualifications, and our commitment to internal equity - ensuring fairness and transparency across our teams. We are committed to fostering a fair and equitable environment in every aspect of our operations, including compensation. This is an exempt salaried role. Annual Base Pay $250,000-$290,000 USD Benefits Our total compensation package includes benefits, including but not limited to: * Medical, Dental, and Vision plans for employees and their families * 31 Days of PTO (21 vacation days and 10 sick days) * 10 Paid holidays, plus company-wide winter break * Up to 5% employer 401(k) match * Short term disability, long term disability, and life insurance * Paid parental leave and support (up to 16 weeks) * Annual wellness stipend Helion is an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need assistance or an accommodation during the interview process, please let us know.

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: * A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. * The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. * Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. * Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. * Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: * Data Curation & Validation * Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. * Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. * Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. * AI System Quality & Correctness * Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. * Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. * Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. * Strategy & Collaboration * Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: * Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. * Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. * Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. * AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. * Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: * Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). * Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). * Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. * Computational Focus: Experience as a Computational battery AI specialist.

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: Data Curation & Validation Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. AI System Quality & Correctness Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. Strategy & Collaboration Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. Computational Focus: Experience as a Computational battery AI specialist.