Senior Data Scientist jobs at Boeing - 234 jobs

A leading logistics and transportation company is seeking a Senior Scientist in Data Science to leverage AI and machine learning techniques to optimize revenue and conduct data analyses. The role requires strong programming skills, a Bachelor's degree in a quantitative field, and prior experience in data-driven analytics. Competitive compensation and comprehensive benefits, including health insurance and education assistance, are provided. Join a team committed to driving process improvements through innovative data solutions. #J-18808-Ljbffr

A leading logistics company is seeking a Director of Data & Analytics to drive their e-commerce data strategy. You will lead a high-performing team in establishing a scalable data foundation, delivering insights for operational efficiency, and fostering a data-driven culture. The ideal candidate has substantial experience in data roles, strong leadership capabilities, and familiarity with modern data tools. Competitive compensation includes a base salary and potential bonuses. #J-18808-Ljbffr

About Gigs At Gigs, we're building the operating system for mobile services-a platform that lets tech companies embed global connectivity into their products effortlessly. Just as Stripe lets any business add a payment button in seconds, Gigs empowers platforms to weave in connectivity-bridging the traditional world of telecom with modern tech. From fintechs launching mobile services to HR platforms offering work phone plans, we automate provisioning and remove telecom complexity. Our team of around 100 people across the US and Europe, backed by nearly $100 million in funding from Ribbit Capital, Google, and Y Combinator. As one of the fastest‑growing tech companies, bringing together early‑stage engineers, product builders, and business athletes from companies like Stripe, Airbnb, and Shopify. We're tackling deep technical and regulatory challenges to make connectivity truly seamless. If you're driven by curiosity, creativity, and the chance to shape the future of telecom, we'd love to hear from you. The Role As a Senior Data Analyst, you'll be a foundational part of our data team - shaping how data is modeled, shared, and turned into insight across the company. You'll join a team of 3 spread across data engineering, analytics engineering and insight generation. This will be the second dedicated Senior Data Analyst in the team. What You Will Do Collaborate cross‑functionally with teams like Finance, Growth, Product, and Operations to understand their needs and ensure data is actionable and impactful. This could mean delivering a dashboard, an insight, or a data model powering automation. Be a thought partner on how we define core metrics, track business performance, and build trust in data across Gigs. Empower internal teams by leveling up power users and educating data consumers, through clear communication, thoughtful documentation, stakeholder collaboration, and occasional training sessions. Build the analytics content that matters, both internally and externally. You'll work with the Product team to identify key customer‑facing metrics and play a crucial role in delivering those insights via dashboards and data products. Not every data point is available yet. We all work end to end. Work with product to define new data points, translate messy source data into clean, reliable models that power dashboards, metrics, and product decisions. You will work with a modern event‑based data platform across Bigquery, Fivetran, dbt, dagster, Lightdash and Hex. What We Are Looking For 8+ years of experience in analytics with a focus on end‑to‑end delivery. Having worked closely with Finance stakeholders, Product in a B2C context (to support customer launches and ongoing implementations) or experience with customer‑facing data products are strong plus points. A strong understanding of data modeling best practices (e.g. dimensional modeling, testing, documentation). Skilled at building alignment and managing expectations with both technical and non‑technical stakeholders. Experience translating complex business requirements into well‑structured data pipelines and models. Familiarity with Git, CI/CD, Python and strong SQL. A product mindset: you care about usability, performance, and building for scale. You see the content you deliver as a product and are interested in having those being used. This is not your first rodeo. You have worked in small and early data teams, grown along side them and worked in larger teams and data platforms. You've seen what works and doesn't in both and are looking to apply this in your next role. Clear communicator - you can work cross‑functionally and explain complex topics to non‑technical stakeholders Strong bias for action: You move quickly, deliver incrementally, and aren't afraid to ship v1. You identify what's missing and work with stakeholders to fill the gaps. Experience working in fast‑moving startups or remote‑first teams is a plus. Before You Apply The truth is, what we're building isn't easy. We expect a lot, and operate with urgency and ownership. This won't be the right place for everyone, and that's okay. This role probably isn't a fit if: You need a lot of structure, or layers of process to do your best work You prefer to specialize narrowly and wait for direction rather than taking initiative You're uncomfortable making decisions with imperfect information or wearing multiple hats You're looking for a “big company” setup - we're still building many things for the first time But if you're excited by the idea of building from zero, working with passion, and leaving your mark on something that matters - we'd love to meet you. Work at Gigs At Gigs, we know that different work styles and teams thrive in different environments. Some work best remotely, while others rely on in‑person collaboration to spark creativity and drive execution. We're remote‑friendly by design, but we also offer hubs for those who need the energy and focus that only in‑person collaboration can bring. Gigs Pads: Our hubs in San Francisco, London, Amsterdam, and Berlin are vibrant spots where Gigsters connect, collaborate, and create together. Gigs Republic: Twice a year, our entire company comes together to strengthen bonds, align on big ideas, and share experiences that fuel our culture and ignite growth. What We Offer At Gigs, we believe in rewarding excellence. We offer competitive compensation and stock options because we see you as a true partner in our growth. We also provide stipends for your home office or work setup, a budget for learning and development to fuel your career, and of course, a free phone and international data plan. Want to learn more about our benefits, hubs, and what it's like to work at Gigs? Check out our Careers page. #J-18808-Ljbffr

A leading tech company is seeking a Senior Data Analyst to shape data insights across teams. This role requires over 8 years of analytics experience, focusing on end-to-end delivery and data modeling best practices. The successful candidate will collaborate with various departments to ensure data is actionable and impactful, while also communicating complex topics to non-technical stakeholders. Competitive compensation, stock options, and benefits are included. Join us to help innovate the telecom landscape. #J-18808-Ljbffr

What you'll need to succeed as a Senior Scientist, Data Science at XPO Minimum qualifications: * Bachelor's degree or equivalent related work or military experience * 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization * Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects * Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning * Strong communication skills with a knack for translating complex AI concepts into clear business insights Preferred qualifications: * Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline * A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * years of hands-on experience in developing and deploying optimization solutions * 5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques. * Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue * Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling * Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience * Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation * Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods About the Senior Scientist, Data Science job Pay, benefits and more: * Competitive compensation package * Full health insurance benefits are available on day one * Life and disability insurance * Earn up to 15 days of PTO over your first year * 9 paid company holidays * 401(k) option with company match * Education assistance * Opportunity to participate in a company incentive plan What you'll do on a typical day: * Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company * Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions * You will be a thought leader for the practice of Data Science and Analytics across the organization * Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation * Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations * Communicate with technical and business-oriented audiences * Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges * Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance * Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs * Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans. About XPO XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here. Nearest Major Market: Boston Job Segment: Testing, Database, Developer, SQL, Computer Science, Technology Apply now "

Business Unit: Corporate **What you'll need to succeed as a Senior Scientist, Data Science at XPO** Minimum qualifications: + Bachelor's degree or equivalent related work or military experience + 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization + Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects + Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning + Strong communication skills with a knack for translating complex AI concepts into clear business insights Preferred qualifications: + Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline + A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field + years of hands-on experience in developing and deploying optimization solutions + 5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques. + Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue + Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling + Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience + Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation + Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods **About the Senior Scientist, Data Science job** Pay, benefits and more: + Competitive compensation package + Full health insurance benefits are available on day one + Life and disability insurance + Earn up to 15 days of PTO over your first year + 9 paid company holidays + 401(k) option with company match + Education assistance + Opportunity to participate in a company incentive plan What you'll do on a typical day: + Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company + Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions + You will be a thought leader for the practice of Data Science and Analytics across the organization + Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation + Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations + Communicate with technical and business-oriented audiences + Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges + Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance + Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs + Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans. **About XPO** XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statementhere (********************************************************************* .

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. * Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. * Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. * Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. * Derive data-driven conclusions and communicate findings to senior stakeholders. * Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. * Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. * Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: * Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) * 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience * Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models * Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A demonstrated track record of independently driving data science projects to deliver business value * Experience solving problems related to Autonomous Driving or Ride Hailing * Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction #LI-Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. * Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. * Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. * Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. * Derive data-driven conclusions and communicate findings to senior stakeholders. * Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. * Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. * Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: * Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) * 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience * Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models * Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A demonstrated track record of independently driving data science projects to deliver business value * Experience solving problems related to Autonomous Driving or Ride Hailing * Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. * Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. * Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. * Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. * Derive data-driven conclusions and communicate findings to senior stakeholders. * Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. * Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. * Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: * Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) * 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience * Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models * Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A demonstrated track record of independently driving data science projects to deliver business value * Experience solving problems related to Autonomous Driving or Ride Hailing * Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. * Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. * Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. * Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. * Derive data-driven conclusions and communicate findings to senior stakeholders. * Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. * Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. * Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: * Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) * 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience * Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models * Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A demonstrated track record of independently driving data science projects to deliver business value * Experience solving problems related to Autonomous Driving or Ride Hailing * Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction #LI-Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company - from driving quality and operational efficiency to market analysis and rider satisfaction scores - we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information. This role follows a hybrid work schedule and you will report to a Product Data Science Lead You will: * Partner with Engineer, Product and Data Science teams to develop Machine Learning models to improve the efficiency of Waymo's Marketplace * Apply ML models to predict conversion, wait times, retention and build better understanding of vehicle values in different positions * Apply optimization models to optimize assignment of Waymo cars to customers or positioning locations * Build novel reinforcement learning models that continually iterate over the parameters in pricing, matching and positioning * Define, conduct and evaluate experiments on new models You have: * Statistical knowledge * Coding skills (Python and SQL) * Experience with Machine Learning * Experience with Reinforcement Learning * Experience with experimentation * At least 4 years of industry experience We prefer: * Experience with optimization modeling and implementation using solver packages (e.g. CP-SAT, CPLEX, Gurobi, etc…) * Experience with optimization * Experience at another Ride hailing or Marketplace company The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $196,000-$248,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company - from driving quality and operational efficiency to market analysis and rider satisfaction scores - we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information. This role follows a hybrid work schedule and you will report to a Product Data Science Lead You will: * Partner with Engineer, Product and Data Science teams to develop Machine Learning models to improve the efficiency of Waymo's Marketplace * Apply ML models to predict conversion, wait times, retention and build better understanding of vehicle values in different positions * Apply optimization models to optimize assignment of Waymo cars to customers or positioning locations * Build novel reinforcement learning models that continually iterate over the parameters in pricing, matching and positioning * Define, conduct and evaluate experiments on new models You have: * Statistical knowledge * Coding skills (Python and SQL) * Experience with Machine Learning * Experience with Reinforcement Learning * Experience with experimentation * At least 4 years of industry experience We prefer: * Experience with optimization modeling and implementation using solver packages (e.g. CP-SAT, CPLEX, Gurobi, etc…) * Experience with optimization * Experience at another Ride hailing or Marketplace company The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $196,000-$248,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email *********************************. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

What You'll be Owning: We are seeking a highly skilled Senior Prompt Engineer to support mission-critical intelligence operations. The ideal candidate brings agentic AI expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize AI tradecraft, and drive the integration of advanced AI methodologies into customer mission sets. What You Must Have: * Active TS/SCI Clearance is required with the ability to obtain a CI Poly * 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) * Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness. * Experience in database manipulation and maintaining structured analytic datasets. * Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor. * Ability to write clear, direct, well-structured prompts to apply analytic tools to structured and unstructured datasets using agentic AI. * Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.) * Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets. * Experience creating reusable prompt libraries and workflows to accelerate AI deployments. * Experience authoring best practice documentation, building the framework for AI usage. * Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences. * Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale. * Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management. * Conduct multi-INT research to augment agentic AI models supporting office operations. * Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective. * Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery. What Would be Nice to Have: * Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements. * Experience building effective AI Agents including function calling, tool integration, and agentic system debugging. * Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications. * Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis. * Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets. * Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures. * Ability to use AI resources programmatically through available API interfaces for data ingestion and processing. * Experience with Palantir in an operational environment.

What You'll be Owning: We are seeking a highly skilled Senior Prompt Engineer to support mission-critical intelligence operations. The ideal candidate brings agentic AI expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize AI tradecraft, and drive the integration of advanced AI methodologies into customer mission sets. What You Must Have: * Active TS/SCI Clearance is required with the ability to obtain a CI Poly * 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) * Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness. * Experience in database manipulation and maintaining structured analytic datasets. * Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor. * Ability to write clear, direct, well-structured prompts to apply analytic tools to structured and unstructured datasets using agentic AI. * Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.) * Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets. * Experience creating reusable prompt libraries and workflows to accelerate AI deployments. * Experience authoring best practice documentation, building the framework for AI usage. * Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences. * Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale. * Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management. * Conduct multi-INT research to augment agentic AI models supporting office operations. * Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective. * Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery. * US Citizenship is required. What Would be Nice to Have: * Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements. * Experience building effective AI Agents including function calling, tool integration, and agentic system debugging. * Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications. * Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis. * Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets. * Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures. * Ability to use AI resources programmatically through available API interfaces for data ingestion and processing. * Experience with Palantir in an operational environment.

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities * Analyze and Monitor Network Performance * Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. * Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. * Modeling & Optimization * Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. * Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. * Reporting & Governance * Develop periodic performance and reliability reports for customers, assisting in presentation creation * Produce regular and ad hoc reports to monitor compliance with established operating parameters. * Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. * Cross-Functional Collaboration * Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. * Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. * Innovation & Continuous Improvement * Identify opportunities to streamline workflows and automate recurring analyses. * Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications * Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) * Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. * 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning * Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. * Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. * Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. * A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. * Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $131,500 - $177,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement "Know Your Rights: Workplace Discrimination is Illegal" Poster The "EEO Is The Law" Poster

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities Analyze and Monitor Network Performance Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. Modeling & Optimization Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. Reporting & Governance Develop periodic performance and reliability reports for customers, assisting in presentation creation Produce regular and ad hoc reports to monitor compliance with established operating parameters. Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. Cross-Functional Collaboration Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. Innovation & Continuous Improvement Identify opportunities to streamline workflows and automate recurring analyses. Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $109,500 -148,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement “Know Your Rights: Workplace Discrimination is Illegal” Poster The "EEO Is The Law" Poster

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities * Analyze and Monitor Network Performance * Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. * Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. * Modeling & Optimization * Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. * Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. * Reporting & Governance * Develop periodic performance and reliability reports for customers, assisting in presentation creation * Produce regular and ad hoc reports to monitor compliance with established operating parameters. * Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. * Cross-Functional Collaboration * Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. * Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. * Innovation & Continuous Improvement * Identify opportunities to streamline workflows and automate recurring analyses. * Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications * Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) * Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. * 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning * Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. * Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. * Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. * A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. * Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $109,500 -148,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement "Know Your Rights: Workplace Discrimination is Illegal" Poster The "EEO Is The Law" Poster

STC is a science and engineering research and services support company with proven expertise and experience spanning research, development, test, and evaluation in areas including aerospace engineering, earth and atmospheric sciences, chemical and biological defense, military systems and technology, and software development. Employment Category: Full Time / Exempt Location: Aberdeen Proving Ground (APG), MD, Travel: Minimal Security Clearance: DoD Secret Eligible, Active clearance preferred. Citizenship: Must be a U.S. Citizen Responsibilities: Develop and apply state-of-the-art machine learning (ML) tools and algorithms to optimize DoD chemical and biological detection and identification systems. Work as part of a government scientific research and development team developing and updating military sensors and detectors. Lead development of some efforts. · Develop software applications in Python and apply machine learning techniques to improve the detection and identification of chemical and biological materials. Develop, test, train, and maintain applications for developmental sensors and instrumentation. Develop and use tools to import, process, and store instrument and sensor datafiles for use in ML applications. Lead small development efforts and mentor junior developers. Support field testing of systems, train users, and assess system performance. Remain current on related subjects in the literature and news. Assist with the preparation of reports, journal articles, and presentations. Compensation & Benefits: Pay: From $85K - $105K per year based on experience and qualifications Schedule: 40 hours per week 401K with up to 4% employer matching contribution 3 weeks (120 hrs/year) Paid Time Off (PTO), Federal holidays, and Sick Leave Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term Disability Requirements Education: Bachelor's degree in computer science, chemistry, or a related discipline Job Requirements U.S. Citizen eligible for a security clearance 5 to 9 years advanced proficiency with Python coding 4 years ML project experience including deep learning, NLP, and/or computer vision Advanced proficiency with both TensorFlow and PyTorch Proficiency in another object-oriented programming language (C++ or JavaScript) Advanced proficiency with MySQL databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule. Bonus points if you have: Active DoD Security clearance Master's degree in computer science or related discipline A chemistry or biology degree or minor Experience with bioinformatics and genetic algorithm development Assist with the preparation of reports, journal articles, and presentations. Education: Bachelor's degree in computer science, chemistry, or a related discipline Job Requirements U.S. Citizen eligible for a security clearance 5 to 9 years advanced proficiency with Python coding 4 years ML project experience including deep learning, NLP, and/or computer vision Advanced proficiency with both TensorFlow and PyTorch Proficiency in another object-oriented programming language (C++ or JavaScript) Advanced proficiency with MySQL databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule. Bonus points if you have: Active DoD Security clearance Master's degree in computer science or related discipline A chemistry or biology degree or minor Experience with bioinformatics and genetic algorithm development

Tsunami Tsolutions is seeking a motivated Data Scientist to join its Aviation Analytics department. This person will be responsible for developing and deploying solutions to various customers that utilize a wide range of analytics tools. They will work with team members and customers to identify new sources of value and take actions to capture it. The selected individual will also work to ensure data quality and provide metrics as indicators of the current state. This role will also require the presentation of findings to customers and senior management. NOTE: This position requires access to technologies and hardware subject to US national Security based export control requirements. All applicants must be US Citizen (8 USC 1324b(a)(3)), or otherwise authorized by the U.S. Government. NO Company Sponsorship offered. Responsibilities: • Working with stakeholders to understand complex business processes and data streams. • Collaborate with stakeholders and whiteboard solutions. • Identify, collect and clean data from multiple sources • Validate, interpret and provide business insights • Research, build, implement and evaluate various analytic techniques to select the best application • Work with team members to deploy solutions across the organization • Reporting periodic progress on projects, including tracking usage and value derived from the models Position Requirements • B.S degree in computer science, data science or engineering. Advanced Degree Preferred • 3-5 years of industry experience preferred • Experience building dashboards and visualizations using Qlik, Power BI, Tableau or similar • Strong programming skills on languages used in data science including Python, R and SQL • Advanced proficiency in Microsoft Excel with competency in vlookups, pivot tables, etc. • Ability to learn new concepts quickly and translate them into practical applications • Ability to effectively communicate findings to non-technical audiences • Experience building and implementing machine learning models in Python or R a plus Offer contingent upon successful completion of a background check and drug screen.