Senior Data Scientist jobs at Boeing

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.)

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, derive data-driven conclusions, and communicate findings to senior stakeholders. * Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. You have: * Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) * 3+ years of industry experience solving data science problems or a PhD in a quantitative field * 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 * 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 $170,000-$216,000 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, derive data-driven conclusions, and communicate findings to senior stakeholders. * Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. You have: * Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) * 3+ years of industry experience solving data science problems or a PhD in a quantitative field * 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 * 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 $170,000-$216,000 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.)

Graphite builds consumer-quality tools for modern software engineering teams, so they can ship faster and create amazing products. Our product Graphite is modern code review for fast-moving teams - we help engineers write and review smaller pull requests, stay unblocked, and ship faster. Anyone can start using Graphite individually without needing their coworkers to change tools - we seamlessly sync code changes and reviews. We started Graphite because we missed internal code review tools like Phabricator (at Facebook) and Critique (Google) that help engineers create, approve, and ship small, incremental changes, and long-term we're passionate about creating products & workflows that help fast-moving eng teams achieve more. Our company We're a small-but-mighty team of 70+ based in Manhattan's Soho, now expanding with a new office in San Francisco. Our passionate and rapidly growing user base includes top engineering teams at companies like Datadog, Vercel, Ramp, and Snowflake. We've raised a $52mil Series B (featured in TechCrunch) led by Christine Esserman, following a previous $20mil Series A from Peter Levine at Andreessen Horowitz (who led GitHub's Series A). Other investors include folks like Tom Preston-Werner (founder of GitHub), Sam Lambert (Planetscale CEO & ex-GitHub CTO), Sebastian Markbåge (creator of React), and many more. Our culture centers on putting people first, applying science and craft, practicing disciplined ambition, and giving ownership - both literally (with equity) and in the responsibility and scope you'll have as a part of our early team. Outside of work you'll find us brewing espresso drinks, producing music, or practicing yoga. We can't wait to see what you'll add to the mix! About the Role Graphite is growing rapidly, and we're looking for a data scientist to support product direction and growth. What you'll do Analyze our data (10TB) and help us answer data-driven questions; Design, develop and deploy data models, algorithms, and tools to support data analysis and visualization; Build and maintain a scalable data pipeline that collects, processes and stores data from various sources, ensuring data accuracy, reliability, and availability. Currently we're based on DBT + Segment + Redshift; Collaborate with software engineers, data scientists, and product managers to ensure data-driven decision making across the organization; Perform exploratory data analysis and statistical modeling to identify insights and trends that drive product and business decisions; Develop and implement data quality and data governance standards to ensure data accuracy and consistency; Work with stakeholders to understand their data needs and translate them into technical requirements; Stay up-to-date with the latest technologies, trends, and best practices in data engineering, data science, and analytics, and recommend new solutions and approaches that can benefit the company. What we're looking for Bachelor's or Master's degree in Computer Science, Data Science, or related field; At least 4 years of experience in data engineering, with a focus on building scalable data pipelines and data models; Strong programming skills in SQL; Experience with cloud platforms such as AWS, GCP, or Azure, and their respective data services (e.g., S3, Redshift, BigQuery); Experience with data visualization tools such as Tableau, Looker, or Power BI; Strong problem-solving and analytical skills, with experience in statistical modeling; Excellent communication skills and ability to work collaboratively with cross-functional teams; and Self-starter with the ability to work independently in a fast-paced startup environment. Life at Graphite Competitive comp: ($160-200k base + substantial equity). We're backed by some of the best investors and excited to offer competitive compensation packages. Role trajectory. We're excited to build a team whose responsibilities and comp to grow as we do. Benefits. Top-tier health, dental, and vision coverage and 16 weeks paid parental leave. Time to decompress. We ask that our team take 4 weeks of vacation a year to unplug and unwind. Relocation expenses. We're an in-person, NYC/SF-based team, and we're happy to help with your relocation expenses! The team that eats together. Company-paid lunch, snacks, and coffee during workdays. Commuter perks. Ride around NYC on us! As a team, we're very aware of the systemic structural issues that have created inequalities for many communities, especially in the tech industry. We recognize that women and underrepresented minorities are statistically less likely to apply for a role that they feel unqualified for. If you are interested in this role but you're concerned about not meeting all requirements, we encourage you to apply anyway - we'd love to get to know you and see if there's a place for you here at Graphite!

MSIG USA continues to grow! MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world's top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business's unique risks. Summary/Job Purpose: Data and analytics are at the heart of decision making at MSIG USA - a data-driven specialty insurance provider in the US. We are seeking a highly analytical and innovative Insurance Data Scientist to join our Insurance Analytics team to help drive profitable growth in new and existing markets. This role involves designing and implementing advanced algorithms to extract actionable insights from large and complex datasets, applying statistical and machine learning techniques to solve business problems, and collaborating across departments (Pricing, Underwriting, Claims, Actuarial, etc.) to enhance decision-making. The ideal candidate will possess balanced tactical and strategic thinking, problem-solving skills, and the ability to communicate technical findings to non-technical stakeholders. A passion for data-driven decision making in the insurance domain is essential. Essential Functions: Perform ad-hoc and recurring analyses across all insurance business units (e.g., pricing, underwriting, claims, operations, etc.) and lines of business. Extract insights from structured and unstructured data sources, including text. Develop end-to-end data science and analytics solutions (for all business units), including data preparation, model development, testing, documentation, implementation, monitoring, and iteration. Identify required technology and tools to support analysis and solutions, collaborating with other teams to implement these tools. Develop and implement data pipelines to support analytical needs and tools. Augement existing datasets with derived data and external information. Design visualizations and dashboards to support insight sharing and enable real-time performance monitoring. Implement these solutions utilizing dashboarding tools and custom web applications. Collaborate cross-functionally with IT, Data, Claims, Underwriting, Actuarial, Finance, and Leadership to identify and solve high-impact problems. Work with these stakeholders to define the data science and analytics needs and become a trusted business partner by delivering on these requirements. Contribute to the prioritization and roadmapping of data and analytics initiatives. Communicate findings effectively to both technical and non-technical audiences. Continuously seek opportunities to learn new skills and techniques, and actively share knowledge with peers. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Technical - Solid statistical, machine learning and data science skills, utilizing a variety of tools Tactical thinking - Ability to execute on short-term business needs Strategic thinking - Ability to visualize long-range solutions to business goals Innovation - Displays original thinking and creativity Problem Solving - Identifies root causes and resolves problems in a timely manner Teamwork - Balances team and individual responsibilities Judgment - Makes timely and sound decisions Planning/Organizing - Prioritizes and plans work activities Quality - Demonstrates and enforces accuracy and thoroughness Initiative - Volunteers readily; Undertakes self-development activities; Seeks increased responsibilities Education and Experience Required: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field Minimum of 5 years of relevant experience in data science and analytics, including machine learning Strong proficiency in Python or R for statistical analysis, model development, and application deployment Experience setting up and using various different data science tools (e.g. Airflow, Jupyter Notebooks, H20, Spark, etc.) Experience with dashboarding tools (e.g. Tableau, Power BI, etc.) Advanced SQL skills for data extraction, transformation, and manipulation Proven track record of end-to-end development of machine learning models Experience with data visualization tools such as Tableau or Power BI Excellent problem-solving and critical thinking abilities Strong communication skills with the ability to convey technical concepts to non-technical stakeholders Preferred Qualifications Experience in data science and analytics for commercial insurance, across all lines of business Experience using a range of different coding languages Experience working with unstructured data, including text, images, and video Familiarity with cloud computing platforms such as AWS or Azure Why Join MSIG USA? At MSIG USA, strength comes from experience - and vision. Backed by a 350-year global legacy, we are forging a path forward in specialty insurance with the same stability and discipline that define our foundation. We are focused on innovation that matters: data-driven, client-focused, and built for long-term impact. You'll join a company that values performance, integrity, and purposeful growth. Your role here is more than a job - it's a commitment to delivering excellence alongside a high-performing, collaborative team. Competitive Compensation Package includes: Competitive salary commensurate with experience along with a performance-based bonus. SALARY: The estimated salary range for this position is $165,000 to $180,000 per year. This is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, MSIG USA will consider a candidate's relevant experience, location, and other job-related factors. Additional Benefits: Healthcare and Retirement Benefits Comprehensive medical, dental, and vision coverage 401(k) with a generous employer match and profit-sharing contribution Wellness incentive program Life and accidental death and dismemberment (AD&D) insurance Flexible spending programs Short-term and long-term disability plans Additional Benefit Programs Paid time off program Paid charitable leave Paid parental leave Tuition reimbursement program Personal insurance (auto/homeowners) discounts It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group! It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.

Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We're not just talking about the future of work - we're building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate - the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn't for everyone. We're not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what's possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleIn this role you'll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You'll uncover user behavior patterns, operational performance insights, and commercial opportunities - all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we're making the smartest possible decisions from day one. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do Product & Customer Analytics You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights. You'll identify friction points and areas of opportunity across key user journeys. You'll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes. Reporting & Visualization You'll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams. You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making. Data Infrastructure & Collaboration You'll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection. You'll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization. What We're Looking For You have 2+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment. You hold at least a Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field. You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures. You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization. You're familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms. You're familiar with using Excel or Google Sheets for ad hoc analysis and data exploration. You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts. You know how to break down complex business problems into structured analyses. You are skilled at identifying trends, patterns, and outliers in data to uncover key insights. You can clearly communicate findings-both in writing and verbally-to technical and non-technical stakeholders alike. Nice to have: You've worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers. What you'll get Ownership & Rapid Growth Outsized missions from day one, with direct responsibility for company-defining projects Work alongside the executive team with transparency into strategy and decision-making Influence on direction through real-time customer feedback and market insights AI-First Operator Work directly with cutting-edge AI models and next-generation platforms Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale Compensation Competitive salary including base + bonuses Comprehensive health coverage (medical, dental, vision) from day one Generous PTO, company-wide R&R shutdowns, and paid parental leave Retirement plan support for US and global employees Equity Meaningful ownership in a venture-backed company at a growth inflection point Financial upside that comes from scaling fast Top-up grants as we scale and you deliver exceptional performance - your compensation grows alongside your impact Top-Performing Culture A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Learn more about us and meet our team here Location and Work EnvironmentThis role is 3 days a week (Tues - Thursday) minimum in office in Toronto or NYC depending on your residency. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions. Diversity and InclusionWe are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at ****************** may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We're not just talking about the future of work - we're building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate - the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn't for everyone. We're not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what's possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleIn this role you'll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You'll uncover user behavior patterns, operational performance insights, and commercial opportunities - all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we're making the smartest possible decisions from day one. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do Product & Customer Analytics You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights. You'll identify friction points and areas of opportunity across key user journeys. You'll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes. Reporting & Visualization You'll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams. You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making. Data Infrastructure & Collaboration You'll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection. You'll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization. What We're Looking For You have 2+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment. You hold at least a Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field. You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures. You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization. You're familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms. You're familiar with using Excel or Google Sheets for ad hoc analysis and data exploration. You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts. You know how to break down complex business problems into structured analyses. You are skilled at identifying trends, patterns, and outliers in data to uncover key insights. You can clearly communicate findings-both in writing and verbally-to technical and non-technical stakeholders alike. Nice to have: You've worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers. What you'll get Ownership & Rapid Growth Outsized missions from day one, with direct responsibility for company-defining projects Work alongside the executive team with transparency into strategy and decision-making Influence on direction through real-time customer feedback and market insights AI-First Operator Work directly with cutting-edge AI models and next-generation platforms Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale Compensation Competitive salary including base + bonuses Comprehensive health coverage (medical, dental, vision) from day one Generous PTO, company-wide R&R shutdowns, and paid parental leave Retirement plan support for US and global employees Equity Meaningful ownership in a venture-backed company at a growth inflection point Financial upside that comes from scaling fast Top-up grants as we scale and you deliver exceptional performance - your compensation grows alongside your impact Top-Performing Culture A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Learn more about us and meet our team here Location and Work EnvironmentThis role is 3 days a week (Tues - Thursday) minimum in office in Toronto or NYC depending on your residency. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions. Diversity and InclusionWe are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at ***************. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

McLane is one of the largest and most stable supply chain services leaders in the United States. We've been at the forefront of delivering retail and restaurant solutions for convenience stores, mass merchants, drug stores, and chain restaurants for over 125 years. Our vision is to be an agile, innovative, and unified supply chain partner that delivers a superior customer experience, improves the lives of our teammates and community, and produces best-in-class returns. McLane Company seeking an experienced and highly analytical Senior Data Scientist with deep domain knowledge in Finance and Customer Profitability Modeling to join our growing data science team. In this role, you will lead the development of analytical models and tools that evaluate customer value, improve financial decision-making, and optimize pricing, contracts, and service strategies across the business. You will work cross-functionally with Finance, Sales, Commercial, and Technology teams to translate complex data into actionable insights that directly impact the bottom line. This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Benefits you can count on: Day 1 Benefits\: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance Paid holidays, earn vacation time, and sick leave accrual from day one. 401(k) Profit Sharing Plan after 90 days. Additional benefits\: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more! Essential Job Functions: Lead design and implementation of customer profitability models to assess margin contribution, lifetime value, and account-level economics. Develop and maintain predictive models using statistical and machine learning techniques (e.g., regression, clustering, decision trees, ensemble methods). Partner with Finance and Sales to create a customer segmentation framework based on financial contribution, cost-to-serve, risk, and growth potential. Analyze product, pricing, operational, and financial data to uncover drivers of profitability and identify margin improvement opportunities. Collaborate with BI and data engineering teams to ensure robust data pipelines and model deployment infrastructure. Build interactive dashboards and visualizations to support business users in scenario analysis and decision-making. Support pricing, promotion, and contract optimization initiatives through data-driven recommendations. Communicate findings and recommendations clearly to senior executives and non-technical stakeholders. Minimum Skills & Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Finance, Economics, or related field (PhD preferred). 7+ years of experience in data science or advanced analytics, preferably in finance or consulting environments. Proven experience building models for customer profitability, pricing strategy, or financial forecasting. Strong command of SQL and at least one programming language (PySpark, Python, R, or Scala). Expertise in machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow) and statistical modeling. Experience working with large-scale structured and unstructured data sets. Proficiency in data visualization tools (e.g., Power BI, Tableau, or similar). Strong business acumen and ability to translate complex analytics into financial impact Preferred Qualifications\: Prior experience in B2B or supply chain, logistics, or distribution industries. Exposure to activity-based costing (ABC) and financial margin analysis. Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and model deployment best practices. Experience with contract analytics or incentive modeling is a plus. Experience with packaged solutions for AI/ML, optimization and reporting such as Micrsoft Fabric, AI Foundry, Real Time Intelligence, Azure ML, and Power BI. High sense of curiosity with the ability to quickly adapt to recent technologies, tools, techniques, and comfortable dealing with ambiguity. Working Conditions: Office environment. Hybrid. Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Moving America forward - together. We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture. Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For our complete EEO and Pay Transparency statement, please visit https\://**********************************

Take your career further with McLane! McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America's most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide. Build predictive models based on business data, including data preparation, feature engineering, model selection, and model evaluation techniques and measures. Coordinate with data engineering team to scale and deploy models and their related data pipelines into production within our Azure/Databricks environment. This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Benefits you can count on: * Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance * Paid time off begins day one. * 401(k) Profit Sharing Plan after 90 days. * Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more! What you'll do as a Data Scientist: * Perform data mining, exploration, and analysis. * Design, train, evaluate and implement machine learning algorithms and predictive models. * Work with stakeholders to identify opportunities for improving business processes and addressing current pain points, using data insights, forecasts, and analytics. * Develop and implement analytics-enabled solutions to improve business process, generate insights, and support business goals. * Develop Key Performance Indicators (KPIs), metrics, trend tracking, prediction, and forecasting models. * Evaluate and understand complex issues from business partners and recommend solutions. * Generate visualizations using tools like Tableau to provide business insights. * Work closely with team throughout all phases of projects: requirements definition, design, development, test and evaluation, demonstration, and deployment. * Perform other duties as assigned. Qualifications you'll bring as a Data Scientist: * Bachelor's degree in data science, data analytics, or related field; or comparable job experience. * Two years' experience in predictive modeling and machine learning. * Proficiency in Python and SQL. * Knowledge of data science toolkits such as NumPy, Pandas and MatLab. * Experience with Azure and Databricks platforms. * Ability to work closely with team throughout all phases of projects: requirements definition, design, development, test and evaluation, demonstration, and deployment. * Availability to work majority of shift during United States hours (overlapping with 8am-5pm central time zone). * This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards. Fit the following? We want you here! * Teamwork oriented * Organized * Problem solver * Detailed Our roadmap. Our story. We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130 years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture. Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For our complete EEO and Pay Transparency statement, please visit ******************************************

Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We've designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We're looking for talented, committed individuals to join our team as we push onward toward certifying the Joby aircraft, scaling our manufacturing, and launching our initial commercial service. Overview As a Staff Data Scientist on the Data Analytics core team, you will be a technical leader responsible for deriving critical insights that directly influence the safety, reliability, and performance of our aircraft. This role goes beyond analysis; you will architect and build scalable, production-grade data science solutions, translating complex data from flight tests, manufacturing, and operations into actionable intelligence. You will serve as a mentor and a key technical voice, working across highly technical disciplines to define data strategy and solve our most challenging problems. The ideal candidate is a proactive and seasoned expert who thrives on ambiguity, is passionate about building robust systems, and is excited to apply their skills to the future of transportation. Responsibilities Collaborate with data scientists, other cross-functional teams and subject matter experts on software engineering projects Conduct data analysis and interpret sensor data from a number of physical processes (aircraft, simulators, reliability test equipment, subsystem tests, etc.) Understand both data systems and physical systems, analyzing high-frequency time-series data from flight tests, battery systems, acoustic sensors, and manufacturing processes to identify patterns, anomalies, and performance trends Leverage advanced statistical methods, signal processing, and machine learning to fuse disparate data sources and build comprehensive models of complex physical systems Architect, design, and lead the development of scalable, end-to-end data science and machine learning systems for production use Define the technical roadmap for data analysis and predictive modeling within key areas of the business, identifying new opportunities to leverage data for strategic advantage Establish and champion best practices for software engineering, MLOps, and data modeling within the data science team Mentor and guide junior and senior data scientists, elevating the technical capabilities of the entire team through code reviews, design discussions, and knowledge sharing Act as a key technical liaison between the data team and other engineering departments (e.g., Aerodynamics, Powertrain, Manufacturing), translating business needs into technical requirements Develop robust, maintainable, and well-tested Python libraries and tools to automate data processing and analysis pipelines Design and build insightful dashboards and visualizations to communicate findings clearly to both technical and non-technical stakeholders Present complex analytical results and strategic recommendations to engineering teams and executive leadership, driving data-informed decision-making Comfortable navigating a quickly changing environment and willing to learn on-the-fly to obtain and define requirements Stay current with advancements in software and data engineering Required S. or Ph.D. in Computer Science, Engineering, Statistics, or a related quantitative field, or equivalent experience 10+ years of professional, hands on coding experience in data science and machine learning or a related role, with a demonstrated track record of leading complex projects from ideation to production deployment Expert-level software-engineering: deep expertise in architecting and writing clean, scalable, and maintainable code. You are a thought leader in software design patterns and best practices Expert proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn) Advanced SQL and Data Modeling: 6+ years of experience writing complex, performant SQL queries and designing efficient data models and pipelines for analytical purposes Advanced proficiency with Spark: 4+ years distributed computing frameworks preferably in a cloud environment like Databricks Strong background in data science, data analysis and visualization (algorithms, data structures, and architectures), probability, statistics, and predictive modeling Strong background in Machine Learning using packages such as PyTorch, Keras or TensorFlow Ability to troubleshoot complex issues across multiple levels of abstraction Proficiency with Unix-based platforms, shell scripting, and Git source control Experience with data pipeline architectures, ingestion, ETL, transformations, analytics, API connectors and visualization Strong experience with development and Ops for GenAI LLMs and Machine Learning, with a past record of successful projects delivery end-to-end Expert use of IDE's for authoring, refactoring and debugging code Ability to navigate a quickly changing environment, independently tackle ambiguous problems, and deliver high-impact solutions with limited supervision Experience leading projects from conception to completion Proven ability to communicate complex technical concepts to diverse audiences, from junior engineers to executive leadership Desired Direct experience with anomaly/outlier detection in high-frequency time-series sensor data Experience developing and deploying models in a production environment using modern MLOps principles and tools (e.g., MLflow, Kubeflow) Experience with version control and CI/CD platforms, able to manage your software through its entire lifecycle (development, testing, deployment) Familiarity with physics-based modeling, digital twins, or advanced signal processing techniques Experience with cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (IaC) tools like Terraform or Kubernetes Experience in the aerospace, automotive, battery technology, or another hardware-intensive industry Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $151,900- $202,500 per year salary. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. Additional Information Joby is an Equal Opportunity Employer.

Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We've designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We're looking for talented, committed individuals to join our team as we push onward toward certifying the Joby aircraft, scaling our manufacturing, and launching our initial commercial service. Overview Working as a Data Scientist in the Data Analytics core team you will be responsible for developing analytical tools and reporting results from numerous tests and flight operations, then improving software architectures of prototype analytics tools into production while supporting Continuous Integration and Continuous Deployment (CI / CD) principles within the team. You should be able to work cohesively with subject matter experts and distill requirements into simple, testable and maintainable software. You will also need to work closely with your analytics colleagues across a broad set of highly technical disciplines who depend on data to architect and optimize analytics solutions. The ideal candidate is energetic, has a positive attitude, is flexible and excited about learning and using new technologies. Responsibilities Collaborate with data scientists, other cross-functional teams and subject matter experts on software engineering projects Conduct data analysis and interpret sensor data from a number of physical processes (aircraft, simulators, reliability test equipment, subsystem tests, etc.) Understand both data systems and physical systems, and have an eye for anomalies in physical test data Generate dashboards for data visualization and clearly present results Develop tools to process and report on data as consistently and easily as possible Leverage statistics, numerical fitting methods, and visualization tools to draw conclusions Develop algorithms to predict failures or the occurrence of certain events from the data Comfortable navigating a quickly changing environment and willing to learn on-the-fly to obtain and define requirements Stay current with advancements in software and data engineering Required BS in Computer Science, Engineering, or similar field and 3+ years of relevant work experience Expert-level software-engineering ability: you are able to distill requirements into simple, testable and maintainable software, provide technical guidance and design solutions for large-scale data science and automation projects Strong background in data science, data analysis and visualization (algorithms, data structures, and architectures), probability, statistics, and predictive modeling Ability to troubleshoot complex issues across multiple levels of abstraction Expert object oriented programming skills in Python and data science packages such as Pandas, MATLAB etc… 3 years experience with SQL databases and data modeling Strong skills developing on Unix-based platforms and using shell commands Experience with data pipeline architectures, ingestion, ETL, transformations, analytics, API connectors and visualization Experience with GenAI LLMs and Machine Learning Very familiar with git source control Expert use of IDE's for authoring, refactoring and debugging code Self-starter capable of working with limited supervision and guidance Experience leading projects from conception to completion Strong verbal and written communication skills Desired Experience with distributed systems and big data tools such as Databricks, Apache Spark, etc. Work experience with anomaly/outlier detection in time series data Experience with Infrastructure as Code (IaC) tools (e.g. Terraform, CloudFormation, Kubernetes manifests, etc.) Experience with MLOps and building machine learning pipelines for production Experience with version control and CI/CD platforms, able to manage your software through its entire lifecycle (development, testing, deployment) Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $115,700-$181,600 per year. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. Additional Information Joby is an Equal Opportunity Employer.

Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We've designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We're looking for talented, committed individuals to join our team as we push onward toward certifying the Joby aircraft, scaling our manufacturing, and launching our initial commercial service. Overview Working as a Data Scientist in the Data Analytics core team you will be responsible for developing analytical tools and reporting results from numerous tests and flight operations, then improving software architectures of prototype analytics tools into production while supporting Continuous Integration and Continuous Deployment (CI / CD) principles within the team. You should be able to work cohesively with subject matter experts and distill requirements into simple, testable and maintainable software. You will also need to work closely with your analytics colleagues across a broad set of highly technical disciplines who depend on data to architect and optimize analytics solutions. The ideal candidate is energetic, has a positive attitude, is flexible and excited about learning and using new technologies. Responsibilities * Collaborate with data scientists, other cross-functional teams and subject matter experts on software engineering projects * Conduct data analysis and interpret sensor data from a number of physical processes (aircraft, simulators, reliability test equipment, subsystem tests, etc.) * Understand both data systems and physical systems, and have an eye for anomalies in physical test data * Generate dashboards for data visualization and clearly present results * Develop tools to process and report on data as consistently and easily as possible * Leverage statistics, numerical fitting methods, and visualization tools to draw conclusions * Develop algorithms to predict failures or the occurrence of certain events from the data * Comfortable navigating a quickly changing environment and willing to learn on-the-fly to obtain and define requirements * Stay current with advancements in software and data engineering Required * BS in Computer Science, Engineering, or similar field and 3+ years of relevant work experience * Expert-level software-engineering ability: you are able to distill requirements into simple, testable and maintainable software, provide technical guidance and design solutions for large-scale data science and automation projects * Strong background in data science, data analysis and visualization (algorithms, data structures, and architectures), probability, statistics, and predictive modeling * Ability to troubleshoot complex issues across multiple levels of abstraction * Expert object oriented programming skills in Python and data science packages such as Pandas, MATLAB etc… * 3 years experience with SQL databases and data modeling * Strong skills developing on Unix-based platforms and using shell commands * Experience with data pipeline architectures, ingestion, ETL, transformations, analytics, API connectors and visualization * Experience with GenAI LLMs and Machine Learning * Very familiar with git source control * Expert use of IDE's for authoring, refactoring and debugging code * Self-starter capable of working with limited supervision and guidance * Experience leading projects from conception to completion * Strong verbal and written communication skills Desired * Experience with distributed systems and big data tools such as Databricks, Apache Spark, etc. * Work experience with anomaly/outlier detection in time series data * Experience with Infrastructure as Code (IaC) tools (e.g. Terraform, CloudFormation, Kubernetes manifests, etc.) * Experience with MLOps and building machine learning pipelines for production * Experience with version control and CI/CD platforms, able to manage your software through its entire lifecycle (development, testing, deployment) Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $115,700-$181,600 per year. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. Additional Information Joby is an Equal Opportunity Employer.

Hertz Revenue Management is seeking a highly motivated, intellectually curious, and talented data scientist to join a team that is responsible for optimizing Hertz's revenue offers. The data scientist will collaborate on designing, delivering, and maintaining proprietary optimization products that result in improved customer offers and increased revenue for Hertz. The role partners across Revenue Management, Pricing, Sales and Distribution, Operations Research, IT, and vendors to identify opportunities, define requirements, provide insights, prototype products, and deliver end-to-end solutions The salary range for this position is expected to be between $90k-100k. **What You'll Do:** + Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or optimization modeling + Enhance existing analytical tools and develop new solutions/tools based on large data sets + Own and deliver end-to-end solutions, including coordination with stakeholders and IT, implementation, and support + Promote the long-term customer vision that supports Hertz's business strategy as the marketplace evolves, and new products are introduced + Actively develop close relationships and coordinate with commercial business units, Operations Research, Finance, IT and senior management to ensure timely execution of Hertz Revenue Management sponsored projects + Maintain a pulse on industry efforts, disruptive technologies, and champion solutions to further Hertz's position as industry leader + Balance multiple priorities in a fast-paced environment + Understand the interrelationships between Fleet, Pricing, and Revenue Management, and the combined impact on the Hertz Customer experience **What We're Looking For:** + Master's degree (or current enrollment) in operations research, statistics, computer science, or a related quantitative field required. + Highly proficient communication skills and ability to actively advocate for Hertz Revenue Management solutions across the enterprise + Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/optimization software (e.g. R, SAS, Gurobi, etc.) + Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.) + Experience with big data: processing, filtering, and presenting large quantities of data + Ability to understand and work with large, unstructured data sets + Proven success in solving complex quantitative problems + Must be able to work well with diverse groups in a time-sensitive team environment with minimal supervision, be results oriented and able to meet or exceed deadlines with attention to detail and follow through + Demonstrated ability to handle multiple projects through to solution delivery + Consistently prioritizes safety and security of self, others, and personal data. + Embraces diverse people, thinking, and styles. **Preferred Qualifications:** + 2+ years of graduate coursework of Ph.D. in operations research, statistics, computer science, or related science field. + Experience with time series forecasting, reinforcement learning, machine learning, or optimization. + 2+ years of industry experience in data science or operations research. + Knowledge of revenue management theory or travel industry systems/data **What You'll Get:** + 40% off any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching. + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Hertz Revenue Management is seeking a highly motivated, intellectually curious, and talented data scientist to join a team that is responsible for optimizing Hertz's revenue offers. The data scientist will collaborate on designing, delivering, and maintaining proprietary optimization products that result in improved customer offers and increased revenue for Hertz. The role partners across Revenue Management, Pricing, Sales and Distribution, Operations Research, IT, and vendors to identify opportunities, define requirements, provide insights, prototype products, and deliver end-to-end solutions The salary range for this position is expected to be between $90k-100k. What You'll Do: Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or optimization modeling Enhance existing analytical tools and develop new solutions/tools based on large data sets Own and deliver end-to-end solutions, including coordination with stakeholders and IT, implementation, and support Promote the long-term customer vision that supports Hertz's business strategy as the marketplace evolves, and new products are introduced Actively develop close relationships and coordinate with commercial business units, Operations Research, Finance, IT and senior management to ensure timely execution of Hertz Revenue Management sponsored projects Maintain a pulse on industry efforts, disruptive technologies, and champion solutions to further Hertz's position as industry leader Balance multiple priorities in a fast-paced environment Understand the interrelationships between Fleet, Pricing, and Revenue Management, and the combined impact on the Hertz Customer experience What We're Looking For: Master's degree (or current enrollment) in operations research, statistics, computer science, or a related quantitative field required. Highly proficient communication skills and ability to actively advocate for Hertz Revenue Management solutions across the enterprise Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/optimization software (e.g. R, SAS, Gurobi, etc.) Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.) Experience with big data: processing, filtering, and presenting large quantities of data Ability to understand and work with large, unstructured data sets Proven success in solving complex quantitative problems Must be able to work well with diverse groups in a time-sensitive team environment with minimal supervision, be results oriented and able to meet or exceed deadlines with attention to detail and follow through Demonstrated ability to handle multiple projects through to solution delivery Consistently prioritizes safety and security of self, others, and personal data. Embraces diverse people, thinking, and styles. Preferred Qualifications: 2+ years of graduate coursework of Ph.D. in operations research, statistics, computer science, or related science field. Experience with time series forecasting, reinforcement learning, machine learning, or optimization. 2+ years of industry experience in data science or operations research. Knowledge of revenue management theory or travel industry systems/data What You'll Get: 40% off any standard Hertz Rental Paid Time Off Medical, Dental & Vision plan options Retirement programs, including 401(k) employer matching. Paid Parental Leave & Adoption Assistance Employee Assistance Program for employees & family Educational Reimbursement & Discounts Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness Perks & Discounts -Theme Park Tickets, Gym Discounts & more

Hertz Revenue Management is seeking a highly motivated, intellectually curious, and talented data scientist to join a team that is responsible for optimizing Hertz's revenue offers. The data scientist will collaborate on designing, delivering, and maintaining proprietary optimization products that result in improved customer offers and increased revenue for Hertz. The role partners across Revenue Management, Pricing, Sales and Distribution, Operations Research, IT, and vendors to identify opportunities, define requirements, provide insights, prototype products, and deliver end-to-end solutions The salary range for this position is expected to be between $90k-100k. **What You'll Do:** + Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or optimization modeling + Enhance existing analytical tools and develop new solutions/tools based on large data sets + Own and deliver end-to-end solutions, including coordination with stakeholders and IT, implementation, and support + Promote the long-term customer vision that supports Hertz's business strategy as the marketplace evolves, and new products are introduced + Actively develop close relationships and coordinate with commercial business units, Operations Research, Finance, IT and senior management to ensure timely execution of Hertz Revenue Management sponsored projects + Maintain a pulse on industry efforts, disruptive technologies, and champion solutions to further Hertz's position as industry leader + Balance multiple priorities in a fast-paced environment + Understand the interrelationships between Fleet, Pricing, and Revenue Management, and the combined impact on the Hertz Customer experience **What We're Looking For:** + Master's degree (or current enrollment) in operations research, statistics, computer science, or a related quantitative field required. + Highly proficient communication skills and ability to actively advocate for Hertz Revenue Management solutions across the enterprise + Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/optimization software (e.g. R, SAS, Gurobi, etc.) + Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.) + Experience with big data: processing, filtering, and presenting large quantities of data + Ability to understand and work with large, unstructured data sets + Proven success in solving complex quantitative problems + Must be able to work well with diverse groups in a time-sensitive team environment with minimal supervision, be results oriented and able to meet or exceed deadlines with attention to detail and follow through + Demonstrated ability to handle multiple projects through to solution delivery + Consistently prioritizes safety and security of self, others, and personal data. + Embraces diverse people, thinking, and styles. **Preferred Qualifications:** + 2+ years of graduate coursework of Ph.D. in operations research, statistics, computer science, or related science field. + Experience with time series forecasting, reinforcement learning, machine learning, or optimization. + 2+ years of industry experience in data science or operations research. + Knowledge of revenue management theory or travel industry systems/data **What You'll Get:** + 40% off any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching. + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

The Data Scientist is ultimately responsible for using data science and data analysis to support MAGMUTUAL and its policyholders in evaluating, mitigating and managing risk by: Analyzing internal and external data Creating dashboards and reports Implementing data science techniques As this relates to analyzing internal and external data: Clearly define the question(s) the analysis is trying to answer Define internal and external data sources needed Ensure the accuracy and completeness of the data inputs Ensure the accuracy and completeness of the data outputs As this relates to creating dashboards and reports: Clearly define and document the purpose of the report/dashboard Define the requirements, including necessary data elements Ensure the accuracy and completeness of the data inputs Ensure the accuracy and completeness of the data outputs Determine the best platform for delivery Ensure the usability of final work product from an end-user perspective As this relates to implementing data science techniques: Identify opportunities to use data science techniques to be more effective Implement data science techniques to improve data analysis Implement data science techniques to improve processes Implement data science techniques to solve business problems Continually evaluate new models that emerge and leverage cloud technologies to improve performance of models Continually evaluate and advise on the future outlook of the ML/AI industry QUALIFICATIONS, EXPERIENCE REQUIRED: Prefer 2+ years of experience in a similar data analytics role Bachelor's degree in Mathematics, Business, or related field preferred Experience in the insurance or related industry preferred Ability to communicate effectively with peers, executive management, agents and sales staff Must possess excellent organizational and time management skills, a desire to work in a fast paced team environment Location: Atlanta Office

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.