79 Data Science jobs in Los Angeles

Frankfurt am Main, DE, 60549 ID Stellenanforderung: 34750 Schaeffler – das ist die Faszination eines internationalen Technologie-Konzerns, verbunden mit der Kultur eines Familienunternehmens. Als Partner aller bedeutenden Automobilhersteller sowie zahlreicher Kunden im Industriebereich bieten wir Ihnen viel Raum für Ihre persönliche Entfaltung. Die Sparte Vehicle Lifetime Solutions von Schaeffler liefert ganzheitliche Reparaturlösungen und Services für das globale Mobilitäts-Ökosystem. Mit Innovationskraft, technischem Know-how und höchster Produktqualität unterstützt die Sparte Werkstätten auch bei komplexen Reparaturen und ist richtungsweisender Anbieter von Reparaturlösungen für Verbrenner, Hybride sowie E-Fahrzeuge und bereitet den unabhängigen Ersatzteilmarkt auf die Technologien von morgen vor. Ihre Aufgaben Anfertigung einer Masterarbeit im Zuge Ihres Studiums zum Thema Implementierung eines Machine Learning/Deep Learning/Foundational Modells zur Nachfrage-Prognose im Supply Chain Management Durchführung einer umfassenden Literaturrecherche (basierend auf wissenschaftlicher Literatur und Daten aus ML-Wettbewerben), um aktuelle Entwicklungen in den Bereichen maschinelles Lernen, Deep Learning und Foundational/Transformer-Algorithmen sowie spezialisierte Architekturen für die Bedarfsprognose im Supply Chain Management zu identifizieren. Identifizierung von Feature-Engineering-Ansätzen zur Optimierung der Modellleistung auf Grundlage der Literaturrecherche. Implementierung der fünf vielversprechendsten Feature-sets innerhalb des aktuell entwickelten Modells basierend auf den Ergebnissen der Literaturrecherche. Vergleich der Prognoseleistung der implementierten Algorithmen mit der Prognoseleistung des aktuell implementierten Prognosesystems. Untersuchung, ob es Szenarien gibt, in denen klassische statistische Methoden eine bessere Leistung als anspruchsvollere Methoden erzielen. Bereitstellung von Empfehlungen für die weitere Entwicklung basierend auf den Ergebnissen. Darlegung von weiteren Forschungsmöglichkeiten in diesem Bereich. Studium der Data Science, Mathematik, Naturwissenschaften, Wirtschaftsinformatik, des Wirtschaftsingenieurwesens, oder eines vergleichbaren Studiengangs Sehr gute Kenntnisse und Erfahrungen mit Python und SQL Kenntnisse in Maschinellem Lernen und Zeitreihenanalyse Vorzugsweise Erfahrung in den Bereichen Supply Chain Management oder E-Commerce Gute Deutsch- und Englischkenntnisse in Wort und Schrift Gute Kommunikations- und Organisationsfähigkeiten Selbstständige, strukturierte und verantwortungsbewusste Arbeitsweise Unser Angebot Flexible Arbeitszeitmodelle sowie eine attraktive Vergütung Vielfältiges Weiterentwicklungsangebot über die Schaeffler Academy Honorierung Ihres Ideenreichtums, z.B. im Rahmen der Schaeffler Awards und des Ideenmanagements Gesundheits- und Sportangebote, z.B. durch die Schaeffler Health Coach App Viele weitere Mitarbeitenden-Vorteile, u.a. im Rahmen von Corporate Benefits Als globales Unternehmen beschäftigen wir Mitarbeitende auf der ganzen Welt. Es ist uns wichtig, dass wir einander mit Respekt begegnen und allen Ideen und Perspektiven offen, positiv und vorurteilslos gegenüberstehen. Indem wir unsere Unterschiede wertschätzen, stärken wir unsere Kreativität und fördern wir Innovationen. Auf diese Weise tragen wir zu einer nachhaltigen Wertschöpfung für unsere Kunden, Geschäftspartner und die Gesellschaft als Ganzes bei. Together, we advance how the world moves. Diese Position ist in Frankfurt am Main zu besetzen. Spannende Aufgaben und hervorragende Entwicklungsperspektiven warten auf Sie, denn wir gestalten die Zukunft mit Innovationen. Wir freuen uns auf Ihre Online-Bewerbung. Schlagwörter: Student*innen;Studienabschlussarbeit;Vollzeit;Befristet;Administration, Service & Support; #J-18808-Ljbffr

Ring is seeking a self-directed Senior Software Development Engineer to design, implement, and support our cloud-based data processing systems. This role will span the spectrum of data-driven services, from building services to ensure customer data privacy to researching and implementing infrastructure to operate large language models at scale. As a senior member of our team you will assess and recommend designs, implement high-performance solutions, support security initiatives, and contribute significantly to the technical vision and future of our real time data processing infrastructure.

Key job responsibilities

• Lead large projects and work with other SDEs to optimize data infrastructure across services and technologies

• ou will be responsible for understanding requirements, designing, and creating reliable, distributed data pipelines and storage techniques as well as building intuitive data products that allow our stakeholders to easily leverage data in a self-service manner

• S ow thought leadership and partner effectively with our engineering teams, analysts, and business partners to push team and organization goals forward

• S pport Data Science projects and initiatives and partner with data scientists to operationalize their products

• P wer and support the most important and insightful data collection systems in the company

• T ke pride in the hygiene and quality of your code and pipelines

• D fine KPIs and maintain important company SLAs

• P ovide leadership to teams implementing and maintaining operational excellence

About the team

The Ring Data Science and Engineering team owns products and services for the growing analytics and operational needs of Ring. Our portfolio of services allow centralized data collection, real-time routing, and integration across both analytic and operational use cases. Our services support over 50 million devices and millions of mobile applications. We operate at a scale few other companies will ever achieve.

BASIC QUALIFICATIONS

- 7+ years of programming with at least one software programming language experience

- 7+ years of non-internship professional software development experience

- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- Experience as a mentor, tech lead or leading an engineering team

- Excellent written and verbal communication skills with the ability to succinctly communicate technical issues to non-technical stakeholders

PREFERRED QUALIFICATIONS

- Proficient with designing, implementing, and optimizing cloud infrastructure including experience with infrastructure-as-code such as AWS CDK or Terraform. Understanding of security and privacy requirements around data collection.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Privacy Overview Always Active Duration 11 months Description Duration 11 months Description cookielawinfo-checkbox-others Duration 11 months Description cookielawinfo-checkbox-necessary Duration 11 months Description Duration 11 months Description viewed_cookie_policy Duration 11 months Description Senior Software Development Engineer, Ring Data Science and Engineering Technology has revolutionized how we approach job hunting, and this book streamlines the process into a fast, efficient system that works. Instead of relying on outdated advice, The 2-Hour Job Search focuses on strategies that deliver real results in less time. #1 Best Seller: The 2-Hour Job Search , with 568 ratings and an impressive 4.6 out of 5 stars . Technology has revolutionized how we approach job hunting, and this book streamlines the process into a fast, efficient system that works. Instead of relying on outdated advice, The 2-Hour Job Search focuses on strategies that deliver real results in less time. Don’t miss out on this game-changing guide. Order your copy now for expert job search tips! Job title: Senior Software Development Engineer, Ring Data Science and Engineering Company: Amazon Job description : DESCRIPTION Ring is seeking a self-directed Senior Software Development Engineer to design, implement, and support our cloud-based data processing systems. This role will span the spectrum of data-driven services, from building services to ensure customer data privacy to researching and implementing infrastructure to operate large language models at scale. As a senior member of our team you will assess and recommend designs, implement high-performance solutions, support security initiatives, and contribute significantly to the technical vision and future of our real time data processing infrastructure. Key job responsibilities Lead large projects and work with other SDEs to optimize data infrastructure across services and technologies You will be responsible for understanding requirements, designing, and creating reliable, distributed data pipelines and storage techniques as well as building intuitive data products that allow our stakeholders to easily leverage data in a self-service manner Show thought leadership and partner effectively with our engineering teams, analysts, and business partners to push team and organization goals forward Support Data Science projects and initiatives and partner with data scientists to operationalize their products Power and support the most important and insightful data collection systems in the company Take pride in the hygiene and quality of your code and pipelines Define KPIs and maintain important company SLAs Provide leadership to teams implementing and maintaining operational excellence About the team The Ring Data Science and Engineering team owns products and services for the growing analytics and operational needs of Ring. Our portfolio of services allow centralized data collection, real-time routing, and integration across both analytic and operational use cases. Our services support over 50 million devices and millions of mobile applications. We operate at a scale few other companies will ever achieve. BASIC QUALIFICATIONS – 7+ years of programming with at least one software programming language experience – 7+ years of non-internship professional software development experience – 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience – Experience as a mentor, tech lead or leading an engineering team – Excellent written and verbal communication skills with the ability to succinctly communicate technical issues to non-technical stakeholders PREFERRED QUALIFICATIONS – Proficient with designing, implementing, and optimizing cloud infrastructure including experience with infrastructure-as-code such as AWS CDK or Terraform. Understanding of security and privacy requirements around data collection.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $61,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site. Expected salary : 151300 per year Location : Hawthorne, CA Job date : Thu, 24 Apr 2025 23:48:07 GMT Apply for this job now! Tags: Tech Jobs Explore career opportunities and trends in the tech industry with Tech Careers. From job tips to industry insights, stay informed about how to advance your tech career. Read the latest articles here at Techcratic. Your email address will not be published. Required fields are marked * #J-18808-Ljbffr

Master's Thesis Student Data Science Solutions (d/m/f) Location: Frankfurt am Main, DE, 60549 Job Requisition ID: 34750 Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities. The Vehicle Lifetime Solutions division is responsible for Schaeffler's global spare parts business. With innovative strength, technical expertise, and the highest product quality, Schaeffler Vehicle Lifetime Solutions is the trend-setting provider of repair solutions and services for internal combustion engines, hybrids, and electric vehicles and prepares the independent aftermarket for the technologies of tomorrow. Your Key Responsibilities • Preparation of a master's thesis as part of your studies on the topic of implementing a Machine Learning/Deep Learning/Foundational model for demand forecasting in supply chain management • Conducting a comprehensive literature review (based on scientific literature and data from ML competitions) to identify recent developments in the areas of machine learning, deep learning, foundational/transformer algorithms, and specialized architectures for demand forecasting in supply chain management • Identification of feature engineering approaches to optimize model performance based on the literature review • Implementation of the five most promising feature sets with the currently implemented model, based on the results of the literature review • Comparison of the forecast performance of the implemented algorithms with the forecast performance of the currently implemented forecasting system • Investigation of scenarios where classical statistical methods yield better performance than more sophisticated methodologies • Providing recommendations for further development based on the results • Outlining avenues for further research in this domain Your Qualifications • Studies in Data Science, Mathematics, Natural Sciences, Business Informatics, Industrial Engineering, or a comparable course of study • Very good knowledge and experience with Python and SQL • Knowledge of Machine Learning and Time Series Analysis • Preferably experience in the areas of Supply Chain Management or e-commerce • Good German and English skills, both spoken and written • Good communication and organizational skills along with a self-reliant, structured, and responsible work approach Flexible working time models and attractive remuneration A wide range of further personal development opportunities via the Schaeffler Academy Rewarding your wealth of ideas, e.g., within the framework of the Schaeffler Awards and operational idea management Health and sports offerings, e.g., through the Schaeffler Health Coach app Accumulation of an additional old-age pension as part of the company pension scheme Many other employee benefits, among others within the scope of corporate benefits As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves. This position is located in Frankfurt. Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your online application. Schaeffler Vehicle Lifetime Solutions Germany GmbH & Co. KG Keywords:Students; Thesis; Full-Time ; Limited ; Administration, Services & Support; #J-18808-Ljbffr

Tab drücken, um zum Link "Weiter zu Inhalt" zu gelangen Wählen Sie aus, wie oft (in Tagen) Sie eine Benachrichtigung erhalten möchten: Hinweis: Dieser Studiengang wird als Studium mit vertiefter Praxis angeboten. Du liebst es, Ursachen für Probleme zu entdecken und Lösungen zu finden und möchtest an Zukunftsthemen arbeiten? Du hast eine Leidenschaft für IT und Digitalisierung? Dann ist dieses Studium genau das Richtige für dich. Denn du bist Expert:in dafür, riesige Datenmengen zu bändigen und daraus Vorhersagen abzuleiten. Egal ob Entwicklungsdaten oder Daten unserer Kund:innen, du weißt wo du die richtigen Infos findest und wie du sie aufbereitest. Dein vielfältiges IT-Know-how ist essenziell für alle Unternehmensbereiche. Egal ob autonomes Fahren, vernetzte Fahrzeuge, Cyber Security oder Machine Learning – ohne dich läuft es nicht! Was lernst du bei uns? Umsetzung und Planung agiler Projekte. Programmiersprachen (bspw. Python). IT-Sicherheit und technischer Datenschutz. Mathematische Schlüsselkompetenzen. Analyse von Problemen sowie deren Kommunikation und Lösungsfindung. Analyse, Extrahierung, Aufbereitung und Präsentation von Daten. Alles rund um Big Data, Data Analytics, Data Mining, Machine- & Deep-Learning, Artificial Neural Networks etc. in der Unternehmenspraxis. Theoretische und praktische Kenntnisse in spannenden Vorlesungen des Studiums wie bspw. Computorial Thinking, Robotik, Datenerhaltung, Objektorientierte Programmierung, Deep Learning und Modelbildung/Simulation. Was erwartet dich nach dem dualen Studium? Unbefristeter Direkteinstieg mit übertariflichen Konditionen. Mitarbeit in und Steuerung von agilen Teams. Vielfältige und spannende Einsatzbereiche wie Big Data, Business Intelligence, Cyber Security, App-Entwicklung, vernetzte Fahrzeuge, autonomes Fahren, Predictive Maintenance oder Qualitätssicherung. Persönliche Weiterentwicklungs- und Spezialisierungsmöglichkeiten in Projekt- und Führungspositionen. Motivation und Eigeninitiative. Freude an der Zusammenarbeit mit anderen Menschen im multikulturellen/internationalen Umfeld. Logisches und analytisches Denkvermögen. Spaß am Lösen von komplexen Problemen. Kommunikationsstärke und Teamfähigkeit. Gute Deutsch- und Englischkenntnisse. (Fach-) Hochschulreife oder Abitur. Worauf kannst du dich freuen? Attraktive, faire Vergütung inkl. Weihnachts- und Urlaubsgeld. Persönliche Förderung. Viele Entwicklungsmöglichkeiten. Sicherheit durch Übernahmegarantie.* Flexible Arbeitszeiten und Freizeitausgleich. Berufsunfähigkeitsversicherung. Abwechslungsreiche und spannende Aufgaben. Attraktive Azubi-Fahrzeugmiete. Individuelle Fahrtkostenzuschussregelungen und/oder kostenloses Deutschlandticket. Bezuschusste Azubi-Wohnheime (nur am Standort München). *nach erfolgreich abgeschlossenem Studium Ausbildungs- und Studiendauer. 4,5 Jahre Mehr Infos zum Programmablauf sowie zu den Studieninhalten erhältst du hier . Du hast Fragen? Dann reiche dein Anliegen ganz einfach über unser Kontaktformular ein. Deine Anfrage wird im Nachgang telefonisch oder per E-Mail beantwortet. Bei der BMW Group verstehen wir Diversität und Inklusion in all ihren Dimensionen als Stärke für unsere Teams. Chancengleichheit ist uns ein besonderes Anliegen, die Gleichbehandlung von Bewerber:innen sowie Mitarbeiter:innen ein grundlegendes Prinzip unserer Unternehmenspolitik. Daher basieren auch unsere Recruiting-Entscheidungen auf ihrer Persönlichkeit, ihren Erfahrungen und Fähigkeiten. #J-18808-Ljbffr

At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation. Both contribute to our long-term vision of creating humanitys industrial base on Mars, paving the way for interplanetary life to expand the possibilities of the human experience. This journey begins right here on Earth where we design, build, and fly rockets to deliver customer payloads to orbit. Terran R, our medium-to-heavy lift reusable rocket, fulfills the growing demand for launch capacity, thanks to our iterative approach that accelerates design, testing, and development while minimizing costs. While our groundbreaking research and development in 3D printing pushes the boundaries of large-scale additive manufacturing. Your journey with us is more than just a job its an opportunity to shape the future of aerospace technology, additive manufacturing, and the human experience alongside a community of passionate, creative individuals. Join us on this extraordinary journey, as we work together to transform our vision into reality. About the Team: Terrestrial Software is the central nervous system of Relativity Space, powering design, manufacturing, testing, and launch through a unified stack of enterprise applications, factory automation, and ground systems. Our goal is instant data accessibility and automated decision-making embedded in every workflow, removing friction and enabling fast, intelligent company-wide operations. About the Role: You'll build the analytical backbone for rocket development - interactive data exploration tools, automated test analysis systems, and decision-making engines that turn raw telemetry into actionable engineering insights. The goal is turning weeks of manual data review into automated go/no-go decisions. You'll join our 8-person Factory Platform team within the 40-person Terrestrial Software organization. Direct collaboration with GNC engineers, test engineers, and hardware development teams. Day-to-day:Build interactive React applications for engineers to explore time-series data, compare test families, and identify performance trends. Work directly with GNC (Guidance, Navigation, Control) engineers to create specialized analysis tools for flight dynamics and control system validation. Implement automated decision algorithms that flag anomalies, generate test reports, and accelerate our test cadence from days to hours. Design APIs that surface insights from our existing data platform to power analysis workflows. The challenge:Building analytical tools that engineers actually want to use. Interactive visualizations that handle terabytes of telemetry, automated analysis systems that make reliable go/no-go decisions, and creating family data analysis workflows that help engineers understand hardware behavior across hundreds of test runs. Stack Backend:Python, Go, Postgres Frontend:React, TypeScript Infrastructure:Kubernetes, Terraform, DBT, Spark Data:Iceberg, DuckDB, Redshift About You: 7+ years shipping production software Expert-level React and modern frontend patterns Experience with data analysis tools or scientific computing CS/Engineering degree or equivalent depth Nice to haves but not required: Time-series data experience, scientific visualization background, or aerospace/automotive testing domain knowledge. At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more!To see some of the benefits & perks we offer, please visit here. Hiring Range: $165,000 $211,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation. Both contribute to our long-term vision of creating humanity’s industrial base on Mars, paving the way for interplanetary life to expand the possibilities of the human experience. This journey begins right here on Earth – where we design, build, and fly rockets to deliver customer payloads to orbit. Terran R, our medium-to-heavy lift reusable rocket, fulfills the growing demand for launch capacity, thanks to our iterative approach that accelerates design, testing, and development while minimizing costs. While our groundbreaking research and development in 3D printing pushes the boundaries of large-scale additive manufacturing. Your journey with us is more than just a job – it’s an opportunity to shape the future of aerospace technology, additive manufacturing, and the human experience alongside a community of passionate, creative individuals. Join us on this extraordinary journey, as we work together to transform our vision into reality. About the Team: We build rockets with advanced manufacturing techniques. Our Data Analysis Platformgroup within the Factory Platform teamcreates the software that transforms how engineers analyze test results, understand hardware performance, and accelerate development cycles. About the Role: You'll build the analytical backbone for rocket development - interactive data exploration tools, automated test analysis systems, and decision-making engines that turn raw telemetry into actionable engineering insights. The goal is turning weeks of manual data review into automated go/no-go decisions. Day-to-day: Build interactive React applications for engineers to explore time-series data, compare test families, and identify performance trends. Work directly with GNC (Guidance, Navigation, Control) engineers tocreate specialized analysis tools for flight dynamics and control system validation. Implement automated decision algorithms that flag anomalies, generate test reports, and accelerate our test cadence from days to hours. Design APIs that surface insights from our existing data platform to power analysis workflows. The challenge: Building analytical tools that engineers actually want to use. Interactive visualizations that handle terabytes of telemetry, automated analysis systems that make reliable go/no-go decisions, and creating family data analysis workflows that help engineers understand hardware behavior across hundreds of test runs. Stack: Backend: Python, Go, Postgres Frontend: React, TypeScript Infrastructure: Kubernetes, Terraform, DBT, Spark Data: Iceberg, DuckDB, Redshift About You: 3+ years building and shipping production software Strong React and modern frontend development skills Experience with data visualization or analytical tools CS/Engineering degree or equivalent experience Nice to haves but not required: Time-series data experience, scientific visualization background, or aerospace/automotive testing domain knowledge. At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more!To see some of the benefits & perks we offer, please visit here. Hiring Range: $141,000 — $180,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation. Both contribute to our long-term vision of creating humanity’s industrial base on Mars, paving the way for interplanetary life to expand the possibilities of the human experience. This journey begins right here on Earth – where we design, build, and fly rockets to deliver customer payloads to orbit. Terran R, our medium-to-heavy lift reusable rocket, fulfills the growing demand for launch capacity, thanks to our iterative approach that accelerates design, testing, and development while minimizing costs. While our groundbreaking research and development in 3D printing pushes the boundaries of large-scale additive manufacturing. Your journey with us is more than just a job – it’s an opportunity to shape the future of aerospace technology, additive manufacturing, and the human experience alongside a community of passionate, creative individuals. Join us on this extraordinary journey, as we work together to transform our vision into reality. About the Team: We build rockets with advanced manufacturing techniques. Our Data Analysis Platform group within the Factory Platform team creates the software that transforms how engineers analyze test results, understand hardware performance, and accelerate development cycles. About the Role: You'll build the analytical backbone for rocket development - interactive data exploration tools, automated test analysis systems, and decision-making engines that turn raw telemetry into actionable engineering insights. The goal is turning weeks of manual data review into automated go/no-go decisions. Day-to-day: Build interactive React applications for engineers to explore time-series data, compare test families, and identify performance trends. Work directly with GNC (Guidance, Navigation, Control) engineers to create specialized analysis tools for flight dynamics and control system validation. Implement automated decision algorithms that flag anomalies, generate test reports, and accelerate our test cadence from days to hours. Design APIs that surface insights from our existing data platform to power analysis workflows. The challenge: Building analytical tools that engineers actually want to use. Interactive visualizations that handle terabytes of telemetry, automated analysis systems that make reliable go/no-go decisions, and creating family data analysis workflows that help engineers understand hardware behavior across hundreds of test runs. Stack: Backend: Python, Go, Postgres Frontend: React, TypeScript Infrastructure: Kubernetes, Terraform, DBT, Spark Data: Iceberg, DuckDB, Redshift About You: 3+ years building and shipping production software Strong React and modern frontend development skills Experience with data visualization or analytical tools CS/Engineering degree or equivalent experience Nice to haves but not required: Time-series data experience, scientific visualization background, or aerospace/automotive testing domain knowledge. At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $141,000 — $180,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr