Data Science Jobs 2025 (Now Hiring) – Smart Auto Apply

R2Net is a diamond and jewelry company with a technology soul. As a subsidiary of Signet, R2Net manages both the Blue Nile and James Allen brands while providing innovative e-commerce and supply-chain platforms to the diamond industry as a whole – including manufacturers, retailers, and consumers. As Senior Manager, Data Science, you will build out best-in-class modeling and analytical capabilities across R2Net, shortening the critical path between measurement and action. During the past decade, R2Net has invested in a rich ecosystem of versatile data assets, and you will now be charged with transforming that data into value for the organization. To achieve this, you will oversee the development and deployment of models across a wide range of functional areas – including Finance, Operations, Marketing, and Customer Service – and will design and implement dashboards, reports, and visualizations to make the team’s results understandable for business users across the company. Working with a mix of Data Engineers, Analysts, and Data Scientists, you will design statistically rigorous experiments and scalable A/B testing frameworks, implement algorithmic recommendation models, and conduct forecasting, clustering, and regression analyses. To ensure that the analytic and modeling work of the team achieves broad & effective usage, you will also have core ownership of reporting and dashboarding, thought leadership, and the mentoring & training of associates – your expertise will keep our analytics pipeline focused not only on model optimization, but on true business impact. By seamlessly translating between the business and data domains, you will solve problems in the realms of pricing, forecasting, supply-chain management, digital measurement, and assortment optimization – all while working to grow the overall analytical skills of the organization. You will be equally at home working with senior stakeholders, designing technical requirements for our Engineers and Data Scientists, and engaging with the data itself. These competencies will allow you to establish cutting-edge analytic processes through the org, and your leadership abilities, analytic acumen, and technical proficiency will help you embed a data-driven culture into all of R2Net’s key decision-making pipelines. Core Responsibilities: Data Scientific Modeling: Design and construct predictive models and analytic decision-making pipelines, turning raw data into action-recommendations for users across R2Net Reporting: Build, support, and maintain a wide range of dashboards and reports, ensuring that each asset features rigorous analytic approaches and strong visual design Experimentation: Conduct experiments in pricing, marketing, website design, and user recommendations, building rigorous A/B testing frameworks and strong causal inference models Culture: Guide the analytic culture of the organization by training & mentoring associates, establishing communities of practice, and creating data governance standards for R2Net Data: Take ownership of the structure, availability, completeness, and accuracy of R2Net's data, ensuring that each component of our analytic processes can be trusted and relied upon. Insights: Fulfill ad-hoc research and analytic requests across a wide variety of domain spaces and present core insights to stakeholders and business leaders. Requirements Bachelor's degree in Computer Science, Economics, Statistics, Marketing, or a related field 8+ years in analytics, BI, or data science, with 3–5 years of direct team leadership. Expert-level fluency in both SQL and Tableau, with the ability to communicate these skills to others. Proven experience leading analytics strategy at scale, preferably across multiple business units. Demonstrated ability to manage managers and multi-disciplinary teams. Broad experience across a wide variety of analytic domain spaces (revenue management, assortment, forecasting, digital optimization, segmentation, etc). Excellent relationship management, communication, and data-presentation skills, including a strong eye for the creation of compelling visual narratives. The ability to take initiative, act independently, and function under ambiguity. A penchant for innovation. Helpful, but not required: Experience with Snowflake and associated tools Familiarity with data engineering pipelines and systems (dbt, airflow, etc) Hands-on data-scientific modeling experience in R or Python Knowledge of best-practices in data-governance and data-security Exposure to database administration principles and schema design Competency in Agile-based approaches and frameworks Benefits At R2Net - James Allen & Blue Nile, many of our roles offer a high-quality, comprehensive benefits package including healthcare, paid time off, retirement planning and opportunities for career advancement. Some offerings are dependent upon the role, employment type, work schedule or location: Paid time off Medical, Dental, Vision and Prescription Insurance 401(k) Retirement Plan with company match Flexible spending account Health savings account Tuition Reimbursement Employee discount Parental leave Life insurance Annual base pay: $130,000 - $160,000. Final pay rate shall be determined and is based on experience and qualifications. At this time, R2Net will not sponsor a new applicant for employment authorization for this position. Additional Information: R2NET INC. is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status or any other basis prohibited under applicable federal, state or local law. R2NET INC. will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. #LI-WK1

DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins. This position involves developing automated solutions for the annotation of language data. This includes parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. The requirement involves NLP, machine learning (ML), data modeling, and programmatic optimizations where needed all while interacting with a premier agency system. 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.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. AI PhD Discovery Data Science Internship Overview: ​ You will be part of a growing and dynamic Advanced Intelligence (AI) team whose main goal is to develop algorithms and methods for discovery research, or methods to support research goals through advanced AI/ML. ​​ Responsibilities: ​ Partner with research teams to identify, scope, and execute analytic efforts that answer scientific questions, solve business needs, and add business value Maintain a broad understanding of drug discovery with scientific teams, bringing an objective voice to the table, and facilitating decisions grounded in data Collaborate with other analytics team members to review and provide feedback on the analytics work being done, and be willing to seek feedback from other team members about your own work Stay current with respect to statistical/mathematical/AI modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected ​​ Requirements: ​ ​Currently enrolled in and attending school. PhD student with at least three years of completed graduate work in Statistics, Computer Science, Electrical and Computer Engineering, Operations Research, Mathematics/Applied Math, or closely related field. ​​ ​​ Desired Experience: ​ Deep and broad knowledge of statistical modeling, natural language processing, machine learning, deep learning, computer vision, image analysis, and data mining methods and tools Proficiency with analytic tools (R, Python, C++) Interpersonal communication skills for effective customer consultation Teamwork and leadership skills Self-management skills with a focus on results for timely and accurate completion of competing deliverables Make the impossible possible in your quest to make life better Bring Analytics to life by giving it zeal and making it applicable to our business Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients Additional Benefits: All interns will be considered for full-time positions based on their internship performance and the business need Lilly arranges various intern activities including sporting events, dinners, lunch and learns, etc. to provide opportunities for socializing, professional development, and learning more about Lilly Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly’s LIFE fitness center and bike garage If the intern's job position requires a move from another location, Lilly will provide travel arrangements and subsidized housing Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $65.00 / per hour Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Product Manager, Consumer Data Science, you’ll define and execute the vision for how DraftKings leverages machine learning, predictive analytics, and experimentation to personalize customer engagement across our promotional product portfolio. You’ll oversee a team of product managers, drive alignment across Sportsbook, Fantasy Sports, and Casino, and collaborate with leaders in Data Science, Engineering, Marketing, and Analytics to build systems that automate and optimize how we attract, retain, and engage customers. This is a high-impact, strategic role where you’ll scale foundational data science capabilities that power personalization and marketing performance across the organization. What you’ll do as a Senior Product Manager, Consumer Data Science Define and drive the promotional Data Science product roadmap, spanning Sportsbook, Fantasy Sports, and Casino use cases. Lead a team of product managers across business lines, fostering prioritization, alignment, and team development. Translate business goals into structured product requirements for predictive models, segmentation logic, and experimentation frameworks. Partner with Data Science, Engineering, Analytics, and Operations to deploy machine learning systems at scale. Champion experimentation in your space—demonstrating business impact, evangelizing results, and incorporating learnings into future roadmaps. Build and evolve shared infrastructure for experimentation, model governance, and decision orchestration across verticals. Ensure end-to-end alignment from data ingestion through model deployment to drive automation, customer value, and marketing ROI. Influence DraftKings’ broader data science strategy by advocating for scalable, ethical, and customer-centric applications of ML and analytics. What you’ll bring Bachelor’s Degree in Computer Science, Mathematics, Business, or a related field. At least 7 years of product management experience, including 2+ years leading product or data science teams. Proven success managing machine learning–powered or analytics-driven products that deliver measurable outcomes. Deep understanding of personalization strategies, lifecycle marketing, and experimentation frameworks. Strong ability to break down complex problems into scalable product strategies and data science roadmaps. Familiarity with model development workflows, large-scale data infrastructure, and deployment best practices. Exceptional communication skills, especially in distilling technical concepts for non-technical and executive stakeholders. Experience balancing long-term vision with short-term delivery in highly cross-functional, fast-paced environments. Background in sports, gaming, or consumer technology is preferred; experience in Sportsbook, Fantasy Sports, or Casino is a strong plus. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 136,000.00 USD - 170,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The Population Analytics and Insights, a part of Data Science and Digital Health at Johnson & Johnson Innovative Medicine, is recruiting a Senior Scientist to work on drug target identification/evaluation in Neuroscience therapeutic area. The primary location for this position is Spring House, PA, USA. No remote option is available for this position. The Data Science Analytics & Insights team develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and self-driven scientist who will work on analyzing large-scale genomics data to strengthen our research capacity in disentangling the molecular drivers of neuropsychiatric conditions aimed at pushing the boundaries of data-driven drug discovery using the cutting-edge computational and algorithmic tools. KEY RESPONSIBILITIES: This position is defined on two main contexts: (a) Neuropsychiatric conditions 1) identify genetically-driven therapeutic targets leveraging a wealth of biobank scale data such as genetics, proteomics and other omics data modalities (2) precision stratification of patients and characterize genomic manifestations of disease subtypes using a wide variety of large-scale biological data and computational methods; (b) on-target toxicity/liability assessment of neuroscience-related target genes using omics data and network-based models. The Senior Scientist will work closely with a team of scientists in disease genetics, computational genomics, AI and machine learning as well as neuroscience therapeutic area to design and implement computational pipelines, analyze and interpret the results, and communicate the findings through internal presentations, conferences and scientific publications. The senior scientist will also have opportunities to collaborate with other researchers and institutions on related projects: Conceive, develop, and implement analytical solutions to high-priority scientific projects. Continuous engagement and participation with scientists across JnJ to foster scientific collaborations and building a carrier network. Analyze the large-scale genetics, proteomics, and other omics data modalities using the advances statistical and computational methods. Publish findings in top-tier journals and conferences. QUALIFICATIONS: The successful candidate will have a strong background in bioinformatics, computational biology, or related fields, with experience of working with large-scale genetics data e.g. SNP array, WES/WGS and multi-omics data e.g., proteomics, transcriptomics etc. A Ph.D. in a quantitative field – Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, Computer Science, or related fields. 2-3 years of postgraduate scientific experience. A strong publication record in the relevant areas is required. Proficient in programming languages such as R/Python, bash, SQL, etc. Experience with multi-omics data integration, especially network analysis. Experience/knowledge of psychiatric conditions such as schizophrenia and bipolar disorder is a plus. Experience with bulk/single-cell transcriptomics, epigenomics, and proteomics is preferred. Excellent written and oral communication skills, and ability to effectively communicate technical findings with stakeholders. Ability to work independently and as part of a team. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis The anticipated base pay range for this position is : $109,000 - $174,800 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

We are seeking someone to join our team as a Financial Crimes Data Science Lead in NFR Data & Analytics Department to build transaction monitoring models and investigative analyses for effective monitoring of Financial Crimes risk by the Firm.In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is a Vice President level position within the NFR Data & Analytics, a function in the Legal and Compliance Division, is responsible for designing and optimizing surveillance models, approaches, and tools using advanced analytical techniques like supervised and unsupervised machine learning, and evolving techniques like graph analytics. These surveillances and other tools help identify suspicious and/or illegal behaviors such as money laundering, market manipulation, insider trading, unfair sales or trading practices, and other financial crimes.Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.What you'll do in the role:- Build statistical and behavior models to detect and investigate transactional behavior indicative of potential Financial Crimes- Design custom scenarios and support tuning of transaction monitoring scenarios in Actimize- Provide support for GFC data analysts to identify, assess, and manage risk by evaluating large data sets using various statistical tools- Enhance proficiency in data related to Financial Crimes to ensure consistent results across analyses conducted by end users in automated surveillance or reporting. This should align with the business's understanding of underlying client and transaction behavior- SDLC compliant model testing and deployment of the models in collaboration with Technology team- Create extensive model documentation including back testing, sensitivity analyses, productivity assessments and work with Model risk management for successful independent validation of the modelsWhat you'll bring to the role:?- Bachelor's degree in quantitative fields like Statistics, Operations Research, etc.- Extensive hands-on industry experience in financial crimes modeling and analytics- Experience with Transaction Modeling vendor products like Actimize, Quantexa etc.- Hands on programming experience in Python with data at scale- Experience in defining processes and workflows and managing their ongoing maintenance.- Ability to work in a team environment, balance participation on multiple projects and resolve conflicting priorities.- Ability to collaborate with global, cross-functional teams across multiple projectsAt least 8 years' relevant experience would generally be expected to find the skills required for this role. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $120,000 and $205,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

WHAT WE DO MATTERS: At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. Driven by our core values, we believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. Our people are at the heart of our success. ABOUT THE ROLE AND OUR TEAM: We are seeking a Senior Director of Data Science to lead the Couple Growth & Lifecycle Zone, a strategic cross-functional team bridging Marketing to Product. In this role, you will ensure that every couple’s journey—from discovery to membership, onboarding, engagement, and beyond—is thoughtful, intuitive, and supported by smart, data-informed science. You will define the vision and roadmap for the Zone’s data science strategy, guiding teams to create predictive models, experimentation frameworks, and personalized experiences that help couples make meaningful progress in their planning journeys with confidence and ease. This role partners closely with leaders across Marketing, Product, Engineering, and Design to translate our mission into tangible, couple-centered outcomes. What You'll Lead: Growth & Marketing Science: Collaborate with marketing teams to understand campaign impact and unify insights across acquisition and in-product experiences—always through the lens of helping couples, not just metrics. Support couples in discovering TKWW through SEO, ASO, AI-powered discovery, and optimized landing experiences that are clear, helpful, and welcoming. Membership & Onboarding: Guide data-driven initiatives that remove friction in sign-up, onboarding, and profile completion, helping couples confidently start their planning journey. Engagement & Lifecycle Science: Develop models and insights that support couples in taking meaningful next steps—saving, shortlisting, sharing, and progressing—without feeling overwhelmed. Responsibilities Growth & Lifecycle Data Science Strategy Shape the data science vision across acquisition, membership, onboarding, and engagement, ensuring every insight and model contributes to real progress for couples . Translate complex business goals into scientific frameworks that anticipate couples’ needs and guide Product, Engineering, and Marketing priorities. Lead predictive and personalization modeling, including action likelihood, recommendations, onboarding, and engagement nudges. Experimentation & Insights Define frameworks for experimentation and lift measurement that prioritize couple-centric outcomes. Ensure tests and analyses help teams learn how to better support couples, not just move metrics. Cross-Functional Zone Leadership Serve as a core Zone Lead alongside Marketing, Product, and Engineering, ensuring data science strategy is tightly integrated with Product roadmaps and Engineering execution. Translate complex scientific insights into actionable guidance for cross-functional teams. Lead, mentor, and grow a team of data scientists and managers, building a culture of curiosity, rigor, and empathy. Partner with Engineering to ensure infrastructure supports scalable modeling, personalization, and experimentation. Successful candidates have: 10+ years in data science or applied machine learning, with 5+ years managing teams and managers. Proven ability to use data science to improve user experience and outcomes in consumer-facing products. Expertise in predictive modeling, marketing attribution (MMM, MTA), LTV, engagement likelihood, ranking/retrieval, and uplift modeling. Strong background in statistics, machine learning, and causal inference, with fluency in Python and SQL. Deep understanding of growth, activation, and retention dynamics, lifecycle messaging, personalization, and MarTech systems. Experience partnering with and influencing senior leaders across Product, Engineering, and Marketing. Skilled at translating complex data insights into practical, couple-centered strategies that guide teams to act with purpose. WORK MODEL: This role is Together@TKWW-eligible and based near one of our office hubs. Starting September 15, 2025, you’ll be expected to work in the office two days a week as part of our hybrid work model. At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job. Together, we have an incredible opportunity to make it even easier for our customers to plan life’s most meaningful moments and for our small business owners to grow and scale. We would love to have you with us on our journey. WHAT WE LOVE ABOUT YOU: Commit to our customers : You act as one team on behalf of our customers. You lead with head and heart, and build what matters for life's most meaningful moments. Raise the bar: You define "great" and work backwards. You don't just accept how it's been done, but boldly define how it should be. You are unafraid to innovate, learn, and keep moving forward toward our shared vision. Be all in: You believe in our mission and take ownership of your work. You debate openly to reach the best outcomes, speaking with clarity and care, embracing diverse perspectives, then commit fully. Celebrate impact: You measure success by the outcomes you create. You hold yourself accountable to delivering value, while recognizing progress and the lessons learned along the way. You love to win, together. WHAT YOU LOVE ABOUT US: We believe in a wide range of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter, both in and out of the office.. We offer flexible vacation, generous parental leave, and prioritize initiatives that support the growth, development, and happiness of our people. Together@TKWW is our approach to hybrid work. It’s designed to support how we work best: combining the flexibility we value with meaningful opportunities to connect in person. Whether a role is Together@TKWW-eligible or not, we believe in purposeful moments to come together, build strong relationships, and drive bold ideas forward. For Together@TKWW-eligible roles, this includes regular in-office time to foster collaboration and connection. For roles not eligible for in-office expectations , we support connection through virtual collaboration and intentional gatherings. To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C. __ US Notice: The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Privacy Notice: The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our Privacy Policy . If you wish to file a complaint, you may contact the competent data protection authority. If you wish to file a complaint, you may contact the competent data protection authority.

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Adjunct Assistant/Associate Professor – Health Data Science and Artificial Intelligence Applications in Medicine Department of Health and Clinical Outcomes ResearchSaint Louis University School of Medicine Position Summary The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine. Primary Responsibilities Adjunct faculty will teach one or more of the following courses or related electives within the Department’s data science and AI curriculum: Privacy, Ethics, Regulation & Policy Introduction to Artificial Intelligence Predictive Modeling and Machine Learning Image Processing and Deep Learning Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models Reinforcement Learning for Clinical Decision Making Telehealth & Telemedicine AI for Precision Medicine & Genomics & Diagnostics Research in Medicine Additional responsibilities include: Develop and deliver engaging, practice-based course materials. Mentoring students on applied research and analytics projects using real-world datasets. Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics. Participating in departmental meetings or student events, as appropriate for adjunct appointments. Qualifications Required: Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field. Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics. Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS). Strong communication skills and a commitment to high-quality, student-centered graduate teaching. Preferred: Experience teaching graduate courses in AI, data science, or health informatics. Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts. Familiarity with regulatory, ethical, and equity considerations in digital health and AI. Record of scholarly or professional contributions in data-driven healthcare innovation. Appointment Details Type: Adjunct, non-tenure track Rank: Assistant or Associate Professor (commensurate with qualifications) Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available) Start Date: Ongoing recruitment for upcoming academic terms Application Instructions Interested applicants should submit: A cover letter outlining teaching interests and relevant experience Curriculum vitae (CV) Contact information for three professional references Applications will be reviewed on a rolling basis until positions are filled. Function Faculty - Adjunct Scheduled Weekly Hours: 20 Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

Associate Data Science Product Manager Launch Program Overview: Skip the “entry-level grunt-work” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you’ll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you’ll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership. What You'll Do: As an Associate Data Science Product Manager, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases Agentic workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Promote adoption and usage of your product and tooling. Interact directly with end-users for training, feedback, and user testing. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. Who you are: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles. Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. Showcases high EQ - can collaborate effectively in a team environment. Experiences you’ve had: Graduating with a bachelor's or master's degree in Summer 2026, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management . (Start date in our August 2026 cohort) Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility. Who We Are: Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit www.redventures.com . Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com This role is not eligible for sponsorship or transfer of visa sponsorship at this time. If you are based in California, we encourage you to read this important information for California residents linked here . Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Play an integral role in supporting modeling and data analysis, budget execution, and the FinOps needs of the business. Manage the creation and/or usage of large data sets, providing information-based decision logic and predictive modeling solutions, and translates modeling/analytic output into understandable/actionable business knowledge, insight and applications. Demonstrate strong technical/problem solving skills. Support multiple projects collaboratively. Key Responsibilities Identify, develop, and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, and risk management purposes. Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results. Identify and execute targeting and optimization opportunities while consulting and coordinating execution with asset owners. Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge. Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed. Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders. Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. Required Qualifications Master degree or equivalent Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.) 5-7 years relevant experience required. Knowledge of advanced statistical concepts and techniques; skilled in linear algebra. Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, machine learning, clustering, or similar methodologies. Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in a data-rich environment. Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners. Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations. Ability to work effectively in a collaborative team environment. Preferred Qualifications 3+ years of experience in statistical modeling and the collating processes necessary to create modeling data. Experience with cloud services and big data technologies FinOps. Self-starter with the ability to work effectively in a matrix environment while (at times) working autonomously. Proven flexibility and adaptability in effectively driving results in an environment of changing priorities. Background in financial services. About Our Company We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world. Base Pay Salary The estimated base salary for this role is $107,000 - $144,000 a year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Data Line of Business TECH Technology

WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW AI and machine learning are redefining how CR serves consumers—helping people make informed choices through intelligent, data-driven experiences. The Full-Stack Software Engineer – AI/ML & Data Science will design, build, and deploy modern web applications and Services that operationalize AI and ML capabilities. Reporting to the Associate Director, AI/ML & Data Science, this role bridges cutting-edge data science with production-grade software, developing user-facing tools, APIs, and services that make AI models accessible and impactful. If you love working across the full technology stack—turning AI models and data into products that empower millions—this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How’ll You’ll Make An Impact: As a mission-driven organization, Consumer Reports is pursuing an ambitious AI strategy designed to drive value for our customers, empower our employees with next-generation tools, and address AI harms in the digital marketplace. Join our Data Office and help execute on a strategic, multi-year roadmap focused on advancing Machine Learning and Generative AI initiatives. As a Full-Stack Software Engineer on the team you will: Design and develop full-stack web applications , Data APIs, analytics dashboards that integrate AI/ML models. Build and maintain backend services and APIs using Python (FastAPI, Django) and Node.js , integrating with Databricks , AWS SageMaker , or similar platforms. Develop intuitive, responsive front-end interfaces using React.js , Next.js , JavaScript , and CSS (TailwindCSS or similar). Deploy scalable, cloud-native applications leveraging AWS , GCP , or Azure infrastructure. Work with AI/ML engineers to implement Retrieval-Augmented Generation (RAG) pipelines, vector databases, and AI model endpoints. Implement secure authentication, data access, and API management for consumer and internal applications. Build CI/CD pipelines, automate testing, and optimize system performance for production workloads. Partner with product and design teams to deliver user-centric AI application experiences. ABOUT YOU You’ll Be Highly Rated If: You have the experience. 5+ years of experience building full-stack applications in production using Python , Javascript, SQL/NoSQL systems and frameworks. You have the education. You’ve earned a Bachelor’s degree in Computer Science, Engineering, or a related field. You have experience integrating software systems with AI/ML services , Data APIs , or model endpoints . You have experience deploying applications on AWS , GCP , or Azure , ideally using Databricks , AWS SageMaker , or other AI platforms. You”ll Be Our Top Pick If: You thrive on building software that bridges complex AI models with real-world use. You enjoy working across frontend, backend, and cloud systems to deliver complete solutions. You’re equally comfortable discussing user experience and data pipeline optimization. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

PlanetScale is growing rapidly and reinventing the transactional database market. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a leader to build and lead PlanetScale’s Data Science function to support best in class analytics, forecasting, and decision-making. What's the job to be done? Build and be responsible for PlanetScale’s data and analytics efforts from zero to one, and play a leading role in shaping decision making through data. You will be the key lynchpin connecting the business with data to inform how we are executing against our company goals and where to direct our resources. Your scope will be broad and cover at least the following: GTM Analytics: Partner with Marketing, Sales, and Customer Engineering to deliver pipeline, conversion, and ROI analytics; build forecasting for new business and retention, attribution, CAC/payback reporting. Product Analytics: Drive analysis of feature adoption, engagement, and retention indicators. Paint a picture of our customers’ health in general and across key areas of the product. Take ownership for implementing experimentation and testing to understand the success or failures of growth and product efforts. Analytics Engineering: Own our data warehouse and metric layer using your tools of choice. What you will need Fluency in SQL and analytical modeling: Expert at pulling, joining, and transforming data from complex schemas; able to define and maintain core business metrics (ARR, retention, funnel conversion) with precision. Hands-on experience building dashboards and analyses: Comfortable creating KPI dashboards in modern data analysis tools and running ad-hoc SQL analyses to drive product and business decisions. Proficiency with dbt or modern transformation frameworks: Capable of designing modular, testable models and documenting data logic for reusability. Analytical and statistical breadth: Skilled in experimentation (A/B testing, lift measurement), cohort and retention analysis, forecasting (Prophet, ARIMA), predictive modeling (e.g., lead scoring, churn prediction), and casual models. Python: Confident using Python notebooks for analysis, data cleaning, and lightweight modeling; familiarity with pandas, scikit-learn, or equivalent libraries. Working knowledge of data pipelines and orchestration: Can contribute to or extend ETL/ELT jobs in Airflow or Dagster; understands ingestion from SaaS and event sources. Bias for action and autonomy: Operates comfortably in a startup environment, prioritizing impact over perfection. Ability to collaborate across all functions: Excellent communication with everyone from execs to engineers; covering everything from schema design to collaborating on KPIs, experiments, and insights. Awareness of warehouse performance and governance (nice to have) — Familiar with optimizing BigQuery or Snowflake queries, managing spend, and monitoring data quality and lineage Why PlanetScale PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Veritiv’s Internship Program will provide real world experience, team projects, social events, volunteer work and professional development trainings. The internships are full-time, hybrid and run June 1 to August 7, 2026. Job Purpose: Our Data Science Intern will be responsible for working on data science projects that drive strategic business objectives. This role utilizes industry-leading analytical methodologies to manage large datasets, extract meaningful insights, and creatively solve business problems. Depending on the specific project, the intern may work in domains such as classification, recommendation, search, NLP, or GenAI.The intern will be an integral part of the Data Analytics team, a group of talented strategy analysts, market research analysts, business analysts, data analysts and data scientists. This team supports the analytics and reporting needs across various commercial excellence functions including Marketing, Digital Commerce, Sales, Customer Experience (CX), Product Management, Corporate Strategy, Finance, and Pricing. Job Responsibilities: ● Collaborate with multiple internal customers on projects and presentations.● Identify opportunities to streamline process improvements.● Take ownership of a project and then assist other team members to support company initiatives. Additional Responsibilities & Qualifications: 80% Solution Development- Design and develop algorithms and models to use against large datasets to create business insights; Use predictive modeling to increase and optimize customer experience and revenue. 20% Communicating Results- Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner to influence execution of recommendation. Pursuing a Masters in a quantitative field (Computer Science, Math, Statistics, etc.) is strongly preferred. 1- 2 years of experience in computer science or data science modeling Knowledgeable in Machine Learning, Deep Learning, Recommendation systems, Search Algorithms, Natural Language Processing (NLP), and Generative AI. Proficiency in Python and associated analytics and ML libraries. Strong knowledge in SQL. Proficient utilizing statistical techniques to identify key insights that help solve business problems. Knowledge in version control systems (e.g., Git) and cloud platforms (e.g., Azure) is a plus Background in presenting complex information to large groups to facilitate strategic business decisions. Work Experience: ● Ability to manage multiple projects, work under pressure, and adapt to sudden changes in the work environment.● Ability to work in a team environment.● Ability to work quickly and efficiently.● Excellent verbal, written, people, and diplomacy skills are required.● Must be highly motivated, flexible and deadline driven.● Proficient with Microsoft Office Suite.● Strong planning and organization skills are required.● Strong problem-solving and attention to detail skills are required.● The ability to communicate with all levels of the organization. Education: ● Bachelor's Degree In Progress What We Offer Engaging and inclusive culture with employee-led Employee Resource Groups, Veritiv Cultural Alliance, recognition platform, etc. Extensive training opportunities, professional development programs, career pathing, and mentorship opportunities. Collaborative atmosphere with our customers and suppliers to create healthier, safer and more sustainable communities through our responsible operations and innovative solutions. Healthcare benefits, 401k, paid time off and tuition reimbursement. About Veritiv Together with its subsidiaries, Veritiv is the leading full-service provider of packaging solutions. Veritiv also provides JanSan, hygiene, print and publishing products and services. Veritiv serves customers in a wide range of industries, through team members around the world helping shape the success of its customers. For more information, visit www.veritiv.com and connect with the Company on LinkedIn .

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer! Job Summary We are seeking a visionary Director of Data Science who will serve as a strategic leader in transforming how our organization leverages data to drive business decisions in the live entertainment industry. This role demands exceptional critical thinking skills, a keen eye for identifying untapped opportunities, and the ability to translate complex mathematical and statistical insights into actionable business strategies. Reporting to the VP of Data & Analytics and working closely with the Directors of Business & Consumer Analytics, this role will be responsible designing and implementing sophisticated models, then translating technical insights into clear business value propositions. Incumbent will start and gradually grow a team of data scientists who employ a diverse ecosystem of creative machine learning models, applied experience in artificial intelligence, and advanced statistical analyses. Essential Functions Focus on research and development through statistical modeling of large amounts of data; identify patterns and trends in data sets to use towards predictive analytics; develop actionable insights to guide data-driven decision making for AEG Presents. Data concepts we’ll be analyzing include ticket purchases, marketing campaigns, audience engagement, ancillary revenue, and much more. While working on a team that focuses on Business & Consumer Analytics, this role will work with all areas of the business, including Product, Marketing, Ticketing, Promoting, Venue Ops, & more. Working with these teams, this role will be responsible in developing a data science plan that allows the functions to use ML and AI to create sustained value to revenue, customer experience, and operations. Develop and execute comprehensive data science strategy aligned with business objectives, including predictive analytics for ticket sales, dynamic pricing models, and audience segmentation Collaborate with data engineering team to integrate data collection, data quality and core model output into production systems, to automate and advance built out algorithms and models. Continuously scan the entertainment industry landscape to identify emerging trends and competitive advantages through advanced analytics Model performance reviews and ongoing maintenance Required Qualifications BA/BS Degree (4-year) MA/MS Degree preferred 8-10 years Experience in data science and statistics 4-6 years Experience building, managing, mentoring, and inspiring high performing, collaborative teams that values testing and learning Proven expertise developing algorithms for solving diverse business challenges and creating value for the company Talent in analytical storytelling with extraordinary ability to convey complex analytical results to both technical and non-technical audiences; skill at building relationships across the organization and becoming a trusted, sought-after partner A strong passion and evangelism for data science, coupled with deep desire to adapt machine learning and cutting-edge technologies to provide high impact to AEG Presents business model Strong background working with large-scale both structured and unstructured data in distributed computing environments, including databases, data cleaning, and feature engineering Passion and focus on execution with demonstrated ability to get things done Well-versed in Python, R, SQL, statistical tools Experience with iterative and rapid experimentation process in the context of research and analytics Experience in ticketing or entertainment is preferred. Payscale: $174,211- $182,921.55 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description. AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law. Employer does not offer work visa sponsorship for this position.

Job Description Senior Software Engineer, Data Science Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical/Innovation Center in Warren (MI), Austin (TX), or Mountain View (CA) three times per week, at minimum. This position can be located at any of these locations. Why Join Us General Motors is at the forefront of transforming transportation through software-driven innovation. We’re driven by our bold vision of a future with Zero Crashes, Zero Emissions, and Zero Congestion. As we push forward into an era of vehicle intelligence and digital engineering, Artificial Intelligence and Data Science are a cornerstone of our strategy. Join a team at the forefront of innovation, where vehicle software design, release, warranty, and telemetry data converge to transform engineering and quality processes. We’re pioneering intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning driving faster issue resolution and launching vehicles with exceptional quality. We’re looking for a Senior Software Engineer for Data Science to build scalable, AI-driven solutions that deliver measurable impact across engineering and customer experience. The Role As a Senior Software Engineer for Data Science, you will lead the development of scalable AI/ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains. You’ll collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction. You will contribute to executive decision-making, product launch strategies, and data-driven quality improvements while staying ahead in a fast-paced, evolving tech landscape. What You’ll Do Prototype, and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs. Lead AI/ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs. Apply statistical methods, anomaly detection, and clustering to uncover patterns. Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets Create interactive data visualizations to communicate and interpret complex data Design and build supervised and unsupervised ML models Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLFlow, cloud-native services). Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments. Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms. Mentor junior level employees, providing coaching and guidance on difficult issues. Your Skills & Abilities (Required Qualifications) Bachelor’s in Computer Science, Engineering, Mathematics, or related field, or equivalent work experience 5+ years of experience building and deploying advanced machine learning or deep learning systems in production. Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh) Knowledge of ML modeling and toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks) Experience with MLOps tools and deploying models via containerized microservices on cloud platforms. Data Visualization using PowerBI, Databricks Apps, Azure Apps Exceptional analytical and independent problem-solving capabilities Strong listening and communication skills and ability to collaborate cross-functionally. Demonstrated ability to mentor junior level employees, providing coaching and guidance on difficult issues. What Will Give You a Competitive Edge (Preferred Qualifications)​ Master’s or PhD in Computer Science, Engineering, Mathematics, or related field 7+ years of experience building and deploying advanced machine learning or deep learning systems in production. Experience with retrieval-augmented generation (RAG), prompt engineering, and embedding optimization. Demonstrated expertise with LLMs, transformer architectures, AI agents Experience in automotive domain GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.). Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary range for this role is $134,000 - $226,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #LI-LL2 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources . Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire . Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $186,900.00 - $308,300.00 Target Openings 1 What Is the Opportunity? Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. As an AVP & Data Scientist, you will lead a team responsible for challenging conventional thinking and communicating insights to executive business and analytics leadership. You will also collaborate with technology partners to drive analytics out to our products in the marketplace, giving Travelers a competitive advantage. What Will You Do? Present analysis, insights, results, and recommendations to executives for decisions. Anticipate potential objections and influence executives to adopt a different point of view. Take ownership of a portfolio of projects and team of managers and leaders, making recommendations that influence business outcomes. Drive teams and leaders to ensure the successful execution of data science strategies. Start identifying organizational tension and work to build consensus across the organization. Assist in the development of business plans for the portfolio. Influence outcomes in the line of business and/or data science community through discussions, presentations, or peer reviews. Drive team recruiting, training, and talent assessment efforts. Provide guidance and coaching for team members; guide your team to advance their subject matter expertise and to identify future leaders to meet Travelers’ business objectives. Support the sharing of knowledge and best practices across the Enterprise. Perform other duties as assigned. What Will Our Ideal Candidate Have? Master's in STEM related field or equivalent. 10 or more years of related work experience, including 6 or more years of team leadership experience. Industry expertise in modeling/ research/ analytics or actuarial required. Industry level knowledge of value creation and business model concepts. Regularly interacts with executives and/or major customers using negotiating and/or influencing skills. Subject matter expertise in the majority of external software programs. Ability to apply emerging statistical procedures to large highly complex work. Recognized industry expertise in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus seven years of experience or any suitable and equivalent combination of education and work experience. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

Play an integral role in the development of an ML ops framework for cyber incident detection. This is a project with high visibility that seeks to revolutionize cyber hunting. The role is multifaceted and will enable the contractor to strengthen and broaden skills in the areas of data engineering, ML, and cyber threat hunting and pen testing. 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.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Tempus' proprietary platform connects an entire ecosystem of real-world data to deliver real-time, actionable insights to physicians. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care. The Senior Scientist, Translational Research or Real-World Evidence in the Real World Data science org will design and execute research projects for early stage to mid stage biopharmaceutical partners. This role involves performing complex computational analyses, and providing interpreted insights in a consultative approach to guide decision-making for biopharma clients. This role will require staying up to date in research and industry trends in oncology drug development to identify specific areas where the Tempus platform can establish new markets. Key Responsibilities: Execute Strategic Collaborations: Partner with our pharma clients to design, develop and execute computational research projects leveraging the Tempus platform to advance precision medicine research programs. Execute scientific activities including scoping net new projects, generating high quality contracted deliverables and serve as the key scientific lead in the partnership. Support exploratory research for target discovery and validation in early phases of drug development. Support decisions for early stage assets such as patient and indication selection, biomarker and combination strategies. Evaluate clinical trial design by testing assumptions, refining eligibility criteria, and characterize patient outcomes on standard of care. Develop novel biomarkers of response signatures. Leadership Development: Help train and manage junior scientists on team Independent Contribution: Independently execute complex translational or real-world evidence research projects integrating molecular and clinical data from Tempus multimodal data platform to derive real-world insights for biopharma partners. Scientific Communication: Expert in navigating client interactions; Present scientific findings clearly and meaningfully to diverse sets of external stakeholders. Document, summarize and communicate highly technical results and methods clearly to non-technical audiences. Author abstracts, posters and peer-review publications to illustrate the value of multimodal analysis and AI in drug discovery in coordination with our partners or internal R&D teams. Continuous Improvement: Become an expert in our biopharma partners’ strategy, pipeline and portfolio to proactively determine all areas that the Tempus platform could add value to the drug development process of our partners. Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality on the team. Work with Product and Engineering teams to streamline workflow of computational analyses. Qualifications: Education: PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar) plus 2 years of experience or postdoctoral studies. Alternatively, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology. Experience: Minimum 2+ years in drug development leveraging genomic and multimodal data for drug discovery and development . Technical/Scientific Skills: Proficient in R, Python, and SQL. Strong understanding of cancer biology Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. Preferred Skillsets/Background: Strong understanding of molecular data and artificial intelligence in drug discovery with experience in integrative modeling of multi-modal clinical and omics data. Previous experience working with large transcriptome and NGS data sets. Prior consulting and/or client facing experience is highly desirable Ability to work collaboratively in a team environment Thrive in a fast-paced environment and willing to shift priorities seamlessly. Experience with R package development. Strong peer-reviewed publication record. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. Goal orientation, self motivation, and drive to make a positive impact in healthcare. CHI: $130,000-$175,000 USDNYC/SF: $140,000-$185,000 USD The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Inside the Role In Product Validation Engineering (PVE) at Daimler Trucks North America, our department is responsible for all component- and system-level validation work to ensure our products remain industry leaders in reliability and support the lowest Total Cost of Ownership for our customers. This position is part of the newly formed Data Acquisition, Analytics, and Science team, which is focused on enabling efficient access, management, and visualization of vehicle test data. The team provides critical infrastructure, tools, and support to PVE and to internal and external customers to ensure that test data is accessible, reliable, and actionable. In this role, you will work closely with teams across PVE, IT systems, design engineering, Powertrain, and our global network to develop use cases centered around data processes and applications. A key aspect of this position is understanding end-to-end data usage goals and to drive improvements to our current data processes and capabilities Posting Information We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected. We Take Care of Our Team Position offers a starting salary range of $86,000.00 - $110,000.00 USD Pay offered dependent on knowledge, skills, and experience​ Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans. What You Drive at DTNA · Interface directly with internal customers to define use cases that support delivering information in simpler, faster, and more efficient ways. · Assist in the development of an AI system that integrates data across multiple PVE departments to deliver key insights to engineering teams. · Define and help implement data governance policies by partnering with IT and global colleagues to ensure secure, role-based access. · Consult with test engineering teams to gather user requirements and translate those requirements into application features. · Collaborate with team members to develop data management systems incorporating data from vehicle ECUs and physical instrumentation. · Present project recommendations, status updates, and impact assessments to local and global engineering management. · Work within an Agile framework to rapidly develop, test, and deploy solutions. · Create and maintain clear documentation for requirements, system designs, and implemented solutions · Identify and implement continuous improvement initiatives to reduce costs and enhance the sustainability of data solutions · Serve as a single point of contact to represent the team and department within DTNA, communicating current focus areas and gathering feedback to improve data processes. · Maintain strong knowledge of how data is used within PVE, design engineering, and global teams to ensure alignment and effective solution development. · Utilize a mindset of continuous improvement to develop and implement new processes, tools and/or applications to increase efficiencies. Knowledge You Should Bring · Bachelor’s degree in Computer Science or applicable field of Engineering and 2-4 years of relevant experience within the vehicle engineering field with focus on data and data usage · Strong knowledge of vehicle engineering processes, including how data is gathered and used within design and test engineering · Broad technical experience across data processing, operations, and quality assurance. · Experience with data acquisition software, tools, and related processes. · Working knowledge of vehicle systems including ECU’s for Class 6–8 vehicle systems · Experience with data processing systems, analytical tools, and reporting software. · Understanding of how data is gathered, processed, and utilized within several areas in DTNA and/or global entities. · Ability to work effectively with a wide range of colleagues across multiple departments and technical focus areas. · Ability to clearly communicate complex systems in a concise and understandable manner · Demonstrated strong written and verbal communication skills · Ability to consult with stakeholders and analyze customer requirements effectively · An attached resume is required Exceptional Candidates Might Have · Experience with scripting and scripting platform such as Python, JavaScript, and Bash · Involvement with modern data processing and storage architectures, with the ability to map and optimize data flows from ingestion and storage through to user-facing consumption. · Hands-on experience gathering and interpreting physical instrumentation data, including sensors, data loggers, and test equipment used in vehicle validation. · Demonstrated ability to lead and mentor technical teams, driving successful project outcomes and fostering collaboration across disciplines · Experience working across multiple areas of Product Validation Engineering (PVE), design engineering, powertrain systems, or IT, with an understanding of how these areas interact with vehicle data and testing processes. Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)- Portland, OR US, Portland Corp 3 - DTNA. Relocation assistance is not available for this position. Schedule Type: Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration. At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all. That is what we are working toward - for all who keep the world moving. Additional Information This position is not open for Visa sponsorship or to existing Visa holders Applicants must be legally authorized to work permanently in the country the position is located in at the time of application Final candidate must successfully complete a criminal background check Final candidate may be required to successfully complete a pre-employment drug screen Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions EEO - Disabled/Veterans Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status. For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.