Senior Data Scientist jobs at P&G

Role: Principal Data Scientist Duration: 12+ Months contract The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Required Experience • Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. • Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. • Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). • Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. • Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). • Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. • Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. • One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. Additional Information • California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m.

Job Title: Data Modeler II Contract: 12+ Months with Possible Extension Department: SCM Enablement & Innovation - SCM team enabling and innovate - enable to innovate key misconception is they are from the business, they are not an IT group, and they are managing innovations on the business side. This role will involve creating solutions, will not be a power BI development role. Presenting and creating solutions for client - we as a team attempt to solve enterprise solutions with business teams and develop some of those solutions for small and medium problems for low code solutions core ERP system client is using is Oracle Cloud Responsibilities: Need someone who has a depth of AI understanding - have a good understanding of python in terms of data transformations, project management, understanding requirements, and gathering data Must do user acceptance testing and deployment Ability to oversee projects they are working on and plan ahead without needing that guidance/instruction - ability to be proactive Providing end to end solutions Gathering data from ERP system, putting into data verse, creating prompts, etc. Gathering pain points from customers and need to discuss with team on how to solve that problem Reviewing anything else outside of ERP to massage and present to customers/stakeholders and provide solutions to their problems Data bricks (good knowledge needed), data verse and API connection between ERP and Oracle Platforms Using power automate/power apps Translate business to technical terms and vice versa Skills: Need someone who has a depth of AI understanding - have a good understanding of python in terms of data transformations, project management, understanding requirements, and gathering data Knowledge of implementing solutions using data bricks would be valuable Should have good understanding end to end user enterprise and how the user should interact with local platforms Good understanding of Oracle Cloud 50/50 technical/business oriented - DOES NOT want someone super technical who cannot speak on behalf of the business Some knowledge in supply chain OR oil & gas industry needed Experience cleaning data is a huge plus

Job Title: Data Engineer / SQL Server Developer (7+ Years) Client: Wells Fargo Rate: $60/hr Interview Process: Code Test + In-Person Interview Job Description Wells Fargo is seeking a Senior Data Engineer / SQL Server Developer (7+ years) who can work across both database development and QA automation functions. The ideal candidate will have strong SQL Server expertise along with hands-on experience in test automation tools. Key Responsibilities Design, develop, and optimize SQL Server database structures, queries, stored procedures, triggers, and ETL workflows. Perform advanced performance tuning, query optimization, and troubleshooting of complex SQL issues. Develop and maintain data pipelines ensuring data reliability, integrity, and high performance. Build and execute automated test scripts using Selenium, BlazeMeter, or similar frameworks. Perform both functional and performance testing across applications and data processes. Support deployments in containerized ecosystems, ideally within OpenShift. Collaborate with architecture, QA, DevOps, and application teams to ensure seamless delivery. Required Skills Primary: 7+ years of hands-on SQL Server development (T-SQL, stored procedures, performance tuning, ETL). Secondary: Experience working with OpenShift or other container platforms. Testing / QA Automation: Strong experience with test automation tools like Selenium, BlazeMeter, JMeter, or equivalent. Ability to design automated functional and performance test suites. Ideal Candidate Profile Senior-level developer capable of taking ownership of both development and test automation deliverables. Strong analytical and debugging skills across data engineering and testing disciplines. Experience working in large-scale enterprise environments.

We are seeking an experienced Senior Big Data & Cloud Engineer to design, build, and deliver advanced API and data solutions that support financial goal planning, investment insights, and projection tools. This role is ideal for a seasoned engineer with 10+ years of hands-on experience in big data processing, distributed systems, cloud-native development, and end-to-end data pipeline engineering. You will work across retail, clearing, and custody platforms, leveraging modern cloud and big data technologies to solve complex engineering challenges. The role involves driving technology strategy, optimizing large-scale data systems, and collaborating across multiple engineering teams. Key Responsibilities Design and develop large-scale data movement services using Apache Spark (EMR) or Spring Batch. Build and maintain ETL workflows, distributed pipelines, and automated batch processes. Develop high-quality applications using Java, Scala, REST, and SOAP integrations. Implement cloud-native solutions leveraging AWS S3, EMR, EC2, Lambda, Step Functions, and related services. Work with modern storage formats and NoSQL databases to support high-volume workloads. Contribute to architectural discussions and code reviews across engineering teams. Drive innovation by identifying and implementing modern data engineering techniques. Maintain strong development practices across the full SDLC. Design and support multi-region disaster recovery (DR) strategies. Monitor, troubleshoot, and optimize distributed systems using advanced observability tools. Required Skills : 10+ years of experience in software/data engineering with strong big data expertise. Proven ability to design and optimize distributed systems handling large datasets. Strong communicator who collaborates effectively across teams. Ability to drive architectural improvements and influence engineering practices. Customer-focused mindset with commitment to delivering high-quality solutions. Adaptable, innovative, and passionate about modern data engineering trends.

We are seeking a highly skilled Data Engineer with strong expertise in Scala, AWS, and Apache Spark. The ideal candidate will have 7+ years of hands-on experience building scalable data pipelines, distributed processing systems, and cloud-native data solutions. Key Responsibilities Design, build, and optimize large-scale data pipelines using Scala and Spark. Develop and maintain ETL/ELT workflows across AWS services. Work on distributed data processing using Spark, Hadoop, or similar. Build data ingestion, transformation, cleansing, and validation routines. Optimize pipeline performance and ensure reliability in production environments. Collaborate with cross-functional teams to understand requirements and deliver robust solutions. Implement CI/CD best practices, testing, and version control. Troubleshoot and resolve issues in complex data flow systems. Required Skills & Experience 7+ years of Data Engineering experience. Strong programming experience with Scala (must-have). Hands-on experience with Apache Spark (core, SQL, streaming). Solid experience with AWS cloud services (Glue, EMR, Lambda, S3, EC2, IAM, etc.). High proficiency in SQL and relational/no SQL data stores. Strong understanding of data modeling, data architecture, and distributed systems. Experience with workflow orchestration tools (Airflow, Step Functions, etc.). Strong communication and problem-solving skills. Preferred Skills Experience with Kafka, Kinesis, or other streaming platforms. Knowledge of containerization tools like Docker or Kubernetes. Background in data warehousing or modern data lake architectures.

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.

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.

NO AGENCIES - PLEASE!! The Senior Data Scientist is involved in conducting clinical studies, integrating, and interpreting massive datasets from both clinical/healthcare records as well as multi-omics data, and is instrumental in the analysis of scientific findings. The Senior Data Scientist candidate possesses an extensive background in data analysis, including the analysis of large datasets, coding skills using diverse toolsets, successful management experience in a dynamic team environment, and is highly goal-oriented. ESSENTIAL DUTIES AND RESPONSIBILITIES: Analysis of healthcare and high-throughput molecular/omic data (genomic, gene expression, lipidomic, metabolomic, proteomics data sets), and participation in assisting clinical data interpretation and generating content for clinical study reports Interaction with internal and external collaborators to understand, design, and develop analytical solutions for complex data packages including, but not limited to, quality assessment of data as well as utilization of several statistical packages to assess translational utility Design and development of data analysis protocols to support the company's drug discovery pipeline and facilitate precision medicine strategies for clinical development Interpretation and understanding of analytic results from a biology perspective, and presentation of scientific findings internally and externally to a diverse audience Research and implementation of innovative methods for data integration Preparation and submission of scientific manuscripts for review and publication as well as support intellectual property filings Other duties, as assigned. REQUIREMENTS: Requires a Ph.D. in Bioinformatics, Statistics, Applied Math, Computer Sciences, or related field with 7+ years of experience Proficiency in R/Bioconductor, Linux, and major “Big Data” technologies Experience in Scala, C, Python, and MySQL is a plus but not required Proven ability to successfully integrate, mentor, and communicate in a dynamic team environment toward defined goals and timelines Proven ability to independently find creative and practical solutions to complex problems Proven experience in applying Data Science methodologies to extract, process, and transform structured and unstructured datasets Proven ability to deliver outputs in a comprehensive format that highlights major trends, avoids misinterpretations, and values the conclusions Proven ability to demonstrate attention to detail and record-keeping Ability to efficiently work on multiple projects in parallel Excellent communication and interpersonal skills Must be able to work in a team-oriented environment

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 ********************.

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. 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Job Description Title: Senior Data Scientist Reports to: VP Credit Decision Sciences About the Company At BMG Money, our mission is to provide access to affordable and responsible credit for underserved consumers facing unexpected expenses. We all share one vision- Redefining lending through technology, where underserved individuals can thrive financially through forward-thinking, responsible, and innovative financial solutions. Job Summary We are seeking an experienced and highly capable Data Scientist to join our team at BMG Money. This senior-level career role is crucial for transforming large, complex datasets into strategic insights that drive decision-making across various functions. The successful candidate will be responsible for independently developing, validating, and supporting the implementation of predictive models, machine learning algorithms, and advanced dashboards. This role requires strong technical mastery and the ability to work collaboratively to deliver high-impact solutions. Key Responsibilities Develop, validate, and support the deployment of predictive models and machine learning algorithms, ensuring they meet rigorous standards for accuracy and business relevance. Collect, process, and analyze massive volumes of structured and unstructured data, providing technical expertise within key data domains. Design and deliver insightful dashboards, reports, and data visualizations for business, product, and technology stakeholders, clearly articulating findings and their implications. Proactively identify patterns, trends, and business opportunities hidden within the data, translating findings into proposed solutions and actionable analysis. Support other data-driven projects such as fraud detection and portfolio analysis. Ensure compliance with regulatory requirements and internal policies related to credit risk modeling. Collaborate closely with product, engineering, and business teams to integrate data-driven solutions into production systems. Ensure the quality, consistency, and integrity of all utilized datasets and contribute to establishing best practices for data quality. Mentor junior data analysts on best practices for data cleaning, modeling techniques, and analytical rigor. Research, evaluate, and apply new data analysis techniques, tools, and technologies (e.g., cloud platforms, new programming libraries). Stay current with the latest technological advancements in the Data Science field to recommend process and equipment improvements. Provide hands-on support and guidance to junior analysts, ensuring access to high-quality, well-structured data sources. Support the manager on all related matters, discussing complex issues and recommending well-researched solutions to inform procedural and strategic actions. Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. Minimum of 4+ years of professional experience in data analysis, data modeling, and validation of analytical models in the financial services industry. Advanced SQL proficiency (writing complex, optimized queries) Business Intelligence (BI) tools (e.g., Tableau, Power BI, Looker) Advanced Statistical and Mathematical aptitude with experience in experiment design (e.g., A/B testing) Advanced proficiency in Python or R and their data science ecosystems (e.g., Pandas, Scikit-learn). Advanced Microsoft Excel Strong Critical Thinking and Analytical Skills • Demonstrated Decision-Making Capacity Excellent Communication and Presentation Skills (ability to present technical findings clearly to a business audience) Strong Organizational and Planning Skills Proven ability to work effectively in a team environment and mentor peers/junior staff. Preferred Qualifications Master's degree or post-graduate specialization in a relevant field. Experience with Credit Risk Management. Prior experience contributing to model deployment/MLOps processes. Advanced English proficiency (for documentation/global teams). Familiarity with cloud platforms (AWS, Azure, or GCP). Foundational understanding of credit risk management

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

NO AGENCIES - PLEASE!! The Senior Data Scientist is involved in conducting clinical studies, integrating, and interpreting massive datasets from both clinical/healthcare records as well as multi-omics data, and is instrumental in the analysis of scientific findings. The Senior Data Scientist candidate possesses an extensive background in data analysis, including the analysis of large datasets, coding skills using diverse toolsets, successful management experience in a dynamic team environment, and is highly goal-oriented. ESSENTIAL DUTIES AND RESPONSIBILITIES: Analysis of healthcare and high-throughput molecular/omic data (genomic, gene expression, lipidomic, metabolomic, proteomics data sets), and participation in assisting clinical data interpretation and generating content for clinical study reports Interaction with internal and external collaborators to understand, design, and develop analytical solutions for complex data packages including, but not limited to, quality assessment of data as well as utilization of several statistical packages to assess translational utility Design and development of data analysis protocols to support the company's drug discovery pipeline and facilitate precision medicine strategies for clinical development Interpretation and understanding of analytic results from a biology perspective, and presentation of scientific findings internally and externally to a diverse audience Research and implementation of innovative methods for data integration Preparation and submission of scientific manuscripts for review and publication as well as support intellectual property filings Other duties, as assigned. REQUIREMENTS: Requires a Ph.D. in Bioinformatics, Statistics, Applied Math, Computer Sciences, or related field with 7+ years of experience Proficiency in R/Bioconductor, Linux, and major “Big Data” technologies Experience in Scala, C, Python, and MySQL is a plus but not required Proven ability to successfully integrate, mentor, and communicate in a dynamic team environment toward defined goals and timelines Proven ability to independently find creative and practical solutions to complex problems Proven experience in applying Data Science methodologies to extract, process, and transform structured and unstructured datasets Proven ability to deliver outputs in a comprehensive format that highlights major trends, avoids misinterpretations, and values the conclusions Proven ability to demonstrate attention to detail and record-keeping Ability to efficiently work on multiple projects in parallel Excellent communication and interpersonal skills Must be able to work in a team-oriented environment

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together - when we combine your strengths with ours - is unstoppable. Are you ready to join a team that dreams as big as you do? Job Title: Senior Data Scientist - GBS Commercial Location: Bangalore Reporting to: Senior Manager - GBS Commercial PURPOSE OF ROLE We are seeking an experienced Senior Data Scientist and People Manager to lead the development of data-driven products and analytical solutions supporting our sales and business operations. This role is critical in designing, building, and scaling robust data science and machine learning solutions that directly impact business outcomes. The ideal candidate will combine deep technical expertise with proven people management skills and a track record of building, mentoring, and leading high-performing teams KEY TASKS AND ACCOUNTABILITIES Data Science & Product Leadership: * Lead the end-to-end design, development, and deployment of data products, predictive models, and analytics solutions tailored to business needs. * Drive the roadmap for data science initiatives, from ideation through to production and ongoing enhancement. * Collaborate with engineering and product teams to integrate machine learning models and analytics into scalable products. People Management & Team Development: * Manage, mentor, and develop a team of data scientists, analysts, and engineers, fostering a high-performance, inclusive culture. * Oversee performance management, career development, and upskilling initiatives within the team. * Set clear objectives, provide constructive feedback, and guide team members towards excellence. Collaboration & Stakeholder Management: * Work closely with stakeholders across different teams to understand business requirements and translate them into scalable technical solutions. * Engage with end users to gather feedback, iterate on features, and improve application usability. * Provide training, support, and troubleshooting to ensure smooth adoption and usage of applications. * Partner closely with cross-functional stakeholders (Sales, Marketing, IT, Operations) to understand business requirements and translate them into actionable analytics and product solutions. * Present insights and recommendations to senior leadership, enabling data-driven decision making Process Improvement & Innovation: * Continuously monitor application performance, identify bottlenecks, and implement optimizations for better efficiency and scalability. * Propose new features and enhancements to improve user experience and streamline business processes. Documentation & Reporting: * Maintain comprehensive technical documentation, including data/model pipelines, architecture diagrams, and user guides. * Develop and share reports, dashboards, and presentations that communicate business impact and technical findings Support & Troubleshooting: * Provide ongoing technical support for deployed solutions, including debugging, performance tuning, and version control. * Ensure system stability, security, and compliance with relevant data governance standards. Preferred Skills & Technologies: * Programming: Python (Pandas, scikit-learn, PySpark), SQL * Machine Learning: End-to-end ML model development & deployment * Data Engineering: ETL pipelines, data modeling, Spark/Airflow (preferred) * API/Product Development: Flask/FastAPI, integration with business applications * Cloud & DevOps: AWS/Azure/GCP, Docker, CI/CD (GitHub Actions, Jenkins) * Databases: PostgreSQL, MySQL, NoSQL (desirable) * Version Control: Git, collaborative workflows * Visualization: Power BI, Tableau, or similar (preferred) * Storytelling with Data: Ability to convey insights through impactful data visualizations and clear narratives * Good to have: Experience with LLMs, GenAI, or agent frameworks BUSINESS ENVIRONMENT * Cross-Functional Collaboration: * Work with internal stakeholders across all business zones, including sales, marketing, IT, and operations, to understand requirements and ensure solutions are aligned with business goals. * Stakeholder Management: * Develop strong relationships with stakeholders and become a trusted advisor on all matters related to Power Apps and Power Pages. * Must have excellent communication skills to handle multiple priorities and stakeholders effectively. * Proactiveness & Adaptability: * Strong sense of initiative and the ability to work independently while being proactive in identifying and addressing potential issues or improvements. * Demonstrates adaptability to changes in business needs and technological advancements.

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)

Who We Are: Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today. JOB MISSION: The MADE Operations Data Scientist will enable a more data-driven, digitally native culture across the MADE in USA team by applying advanced analytics, statistical modeling, and data science techniques to solve operational challenges. This role supports cross-functional operations-spanning product development, engineering, planning, purchasing, and logistics-by delivering actionable insights, leading metric development, and building predictive models and alerting systems. The ideal candidate combines technical excellence in data science and data engineering with a deep understanding of footwear and apparel manufacturing, and the ability to translate complex data into clear, impactful business decisions. MAJOR ACCOUNTABILITIES: Develop and maintain Power BI dashboards and reporting systems that surface key operational metrics and drive visibility across the MADE organization. Build and deploy analytical models to forecast performance, identify bottlenecks, and optimize processes across product development, manufacturing, planning, and logistics. Design and maintain semantic data models that enable scalable, self-service analytics and support advanced querying and analysis. Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for operational improvement. Collaborate with cross-functional stakeholders to frame business problems as data science questions and deliver actionable insights. Implement alerting and monitoring systems that proactively flag deviations in performance or quality metrics. Partner with IT and data engineering teams to ensure robust data pipelines and infrastructure that support modeling and reporting needs. Validate and improve data quality across systems such as ERP, MES, PLM, and other operational platforms. REQUIREMENTS FOR SUCCESS: Minimum 2 years of experience in a data analytics or data science role within a brand that manufactures apparel and/or footwear. Proficiency in Python and open-source data science tools (e.g., Pandas, NumPy, Scikit-learn, Jupyter). Strong experience with Power BI, including DAX, data modeling, and dashboard design. Familiarity with manufacturing, supply chain, or product development data and systems. Experience designing semantic layers and integrating data from multiple sources (e.g., ERP, MES, PLM). Regular Associate Benefits Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks - opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs - that encourage our associates to grow personally as they develop professionally. You'll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword - it's part of our culture. Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount. Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount. Flexible Work Schedule For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility. Equal Opportunity Employer New Balance provides equal opportunities for all current and prospective associates to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran, or any other protected status.

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.