98 Artificial Intelligence jobs in Los Angeles

Responsibilities:

• Work with various leads across the company to identify models currently in production.
• Identify owners, developers, users, and other stakeholders for these models.
• Perform a gap analysis to identify deficiencies in compliance with model lifecycle governance protocol.
• Work with model stakeholders to secure applicable model documentation, as identified from the gap analysis.
• Enter those models that are not included in our current inventory into the MIME system.
• Assign risk tiers to models according to EMG methodology.
• Communicate with various teams and stakeholders about the new EMG program.
• Support other EMG tasks as requested.

Qualifications:

• 2+ of experiences in program management. 5+ years data science.
• Strong interpersonal skills and an outstanding ability to build relationships and navigate within a complex organization.
• Self-awareness, maturity, ability to collaborate as part of the multi-disciplinary team.
• Passionate self-starter to collaborate with senior stakeholders to establish trust & transparency in model lifecycles.
• Good knowledge in data science, and model development and applications.
• Advanced PC Skills
• Experience working in a remote environment
• Ability to work autonomously and in a team environment
• High attention to detail
• High work ethic and level of ownership

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 105,300 - 175,500 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

We want you to be healthy, balanced, and feel secure. That's why you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group .

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: for support. Do not email for an update on your application or to provide your resume as you will not receive a response.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Join to apply for the Data Science Senior Specialist role at Southern California Edison (SCE) Join to apply for the Data Science Senior Specialist role at Southern California Edison (SCE) Southern California Edison (SCE) provided pay range This range is provided by Southern California Edison (SCE). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $126,000.00/yr - $89,000.00/yr Join the Clean Energy Revolution Become a Data Science Senior Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be responsible for working closely with internal clients, Subject Matter Experts, information architects, data engineers, process leads, project/program managers, and other teams to turn data into critical information and knowledge that can be used to make data informed business decisions. You will work in the Business Intelligence Center within Customer Service, developing predictive analytics solutions. You'll support internal clients by solving complex problems and enhancing business and customer experiences. Your tasks include analyzing large data sets, building advanced analytical models, and generating actionable insights for decision-making. You will collaborate with cross-functional teams, leveraging advanced statistical methods, machine learning techniques, and AI technology to solve real-world problems. You will be accountable for partnering with Organization Unit (OU) clients to understand business problems, identify opportunities for improvement, and incorporate analytics solutions into business processes, to ensure analytics solutions deliver positive business value and are directly associated with OU goals. As a Data Science Senior Specialist, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future? Responsibilities Engages diverse stakeholders including data scientists, business clients, data engineers, SMEs and team members to define solutions to complex business problems requiring advanced analytics and modeling Develops predictive and prescriptive data models using machine learning, statistical modeling and other advanced techniques to uncover insights that improve data-driven decision making across the organization Identifies high-value use cases across business functions and domains to apply artificial intelligence, machine learning and data science to solve previously intractable business problems Translates specific business challenges into well-defined objectives, requirements and success criteria for developing appropriate AI/ML models and solutions Designs, develops and thoroughly evaluates innovative AI/ML models leveraging techniques like neural networks, deep learning and reinforcement learning to create predictive capabilities Applies cutting-edge machine learning algorithms and data mining techniques to extract key insights and make accurate predictions from large, varied and complex datasets Continuously monitors and enhances AI/ML models for improved performance; tracks key metrics to validate models against desired outcomes Develops AI/ML solutions following established processes and model governance practices for ethics, explainability, reproducibility and ongoing maintenance Researches and evaluates new and emerging AI/ML tools, techniques and technologies; makes recommendations on their potential business application and impact Develops peer relationships and participates in industry groups and events to stay current on data science A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity. Minimum Qualifications Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics. Three or more years of experience in data analytics related work.*PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit. Preferred Qualifications Experience coding in Proficiency in Python, or Scala, SQL, SAS etc Experience using the following database systems: MySQL, PostgreSQL, or MSSQL. Big Data Analytics: Hadoop environment, Hive, Pig or Spark. Broad understanding of the electric utility industry and its regulatory environment. Three or more years of experience using machine Learning methods such as deep learning, Bayesian methods, time series analysis, boosting, and bagging. Two or more years of experience formulating high-level business goals as data science problems and identifying appropriate machine learning or data mining algorithms to solve various electric utility problems. Capable of learning from state-of-the-art technical articles and reports. Has the ability to tailor state-of-the-art algorithms to solve the problem at hand, Has the ability to create insightful interpretations of the results. Ability to effectively communicate technical content to non-technical audience at all levels, including individual contributor, frontline manager, middle management, and executives. Two or more years of experience working with GCP, Azure, Snowflake, and PowerBI. Additional Information This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more! About Southern California Edison The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world. Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status. We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at ( . Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Customer Service Industries Oil and Gas and Utilities Referrals increase your chances of interviewing at Southern California Edison (SCE) by 2x Sign in to set job alerts for “Data Science Specialist” roles. Los Angeles, CA $85,000.00-$12 ,000.00 2 hours ago Data Scientist, Marketing Insights and Analytics Los Angeles, CA 136,800.00- 290,000.00 3 weeks ago Data Scientist – Generative AI & Medicare Risk Adjustment Analytics Orange, CA $1 9,882.00- 224,823.00 11 hours ago Los Angeles, CA 113,103.36- 152,409.84 11 hours ago Brea, CA 41,600.00- 62,400.00 11 hours ago ML Software Engineer (L4/L5) - Media Algorithms Los Angeles Metropolitan Area 185,000.00- 240,000.00 2 weeks ago Cypress, CA 95,000.00- 123,000.00 20 hours ago Los Angeles, CA 85,000.00- 100,000.00 2 weeks ago Los Angeles Metropolitan Area 150,000.00- 175,000.00 2 weeks ago Los Angeles Metropolitan Area 18 hours ago Data Scientist (Statistical Research), Marketing Insights and Analytics Los Angeles, CA 140,000.00- 280,000.00 3 weeks ago Los Angeles Metropolitan Area 125,500.00- 212,800.00 2 weeks ago Los Angeles, CA 170,000.00- 230,000.00 2 weeks ago Los Angeles, CA 180,000.00- 190,000.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Join to apply for the Data Science Senior Specialist role at Southern California Edison (SCE) Continue with Google Continue with Google Join to apply for the Data Science Senior Specialist role at Southern California Edison (SCE) Join the Clean Energy Revolution Become a Data Science Senior Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be responsible for working closely with internal clients, Subject Matter Experts, information architects, data engineers, process leads, project/program managers, and other teams to turn data into critical information and knowledge that can be used to make data informed business decisions. Join the Clean Energy Revolution Become a Data Science Senior Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be responsible for working closely with internal clients, Subject Matter Experts, information architects, data engineers, process leads, project/program managers, and other teams to turn data into critical information and knowledge that can be used to make data informed business decisions. You will work in the Business Intelligence Center within Customer Service, developing predictive analytics solutions. You'll support internal clients by solving complex problems and enhancing business and customer experiences. Your tasks include analyzing large data sets, building advanced analytical models, and generating actionable insights for decision-making. You will collaborate with cross-functional teams, leveraging advanced statistical methods, machine learning techniques, and AI technology to solve real-world problems. You will be accountable for partnering with Organization Unit (OU) clients to understand business problems, identify opportunities for improvement, and incorporate analytics solutions into business processes, to ensure analytics solutions deliver positive business value and are directly associated with OU goals. As a Data Science Senior Specialist, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future? Responsibilities Engages diverse stakeholders including data scientists, business clients, data engineers, SMEs and team members to define solutions to complex business problems requiring advanced analytics and modeling Develops predictive and prescriptive data models using machine learning, statistical modeling and other advanced techniques to uncover insights that improve data-driven decision making across the organization Identifies high-value use cases across business functions and domains to apply artificial intelligence, machine learning and data science to solve previously intractable business problems Translates specific business challenges into well-defined objectives, requirements and success criteria for developing appropriate AI/ML models and solutions Designs, develops and thoroughly evaluates innovative AI/ML models leveraging techniques like neural networks, deep learning and reinforcement learning to create predictive capabilities Applies cutting-edge machine learning algorithms and data mining techniques to extract key insights and make accurate predictions from large, varied and complex datasets Continuously monitors and enhances AI/ML models for improved performance; tracks key metrics to validate models against desired outcomes Develops AI/ML solutions following established processes and model governance practices for ethics, explainability, reproducibility and ongoing maintenance Researches and evaluates new and emerging AI/ML tools, techniques and technologies; makes recommendations on their potential business application and impact Develops peer relationships and participates in industry groups and events to stay current on data science A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity. Minimum Qualifications Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics. Three or more years of experience in data analytics related work.*PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit. Preferred Qualifications Experience coding in Proficiency in Python, or Scala, SQL, SAS etc Experience using the following database systems: MySQL, PostgreSQL, or MSSQL. Big Data Analytics: Hadoop environment, Hive, Pig or Spark. Broad understanding of the electric utility industry and its regulatory environment. Three or more years of experience using machine Learning methods such as deep learning, Bayesian methods, time series analysis, boosting, and bagging. Two or more years of experience formulating high-level business goals as data science problems and identifying appropriate machine learning or data mining algorithms to solve various electric utility problems. Capable of learning from state-of-the-art technical articles and reports. Has the ability to tailor state-of-the-art algorithms to solve the problem at hand, Has the ability to create insightful interpretations of the results. Ability to effectively communicate technical content to non-technical audience at all levels, including individual contributor, frontline manager, middle management, and executives. Two or more years of experience working with GCP, Azure, Snowflake, and PowerBI. Additional Information This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more! About Southern California Edison The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world. Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status. We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at ( . Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Utilities and Oil and Gas Referrals increase your chances of interviewing at Southern California Edison (SCE) by 2x Get notified about new Data Science Specialist jobs in Azusa, CA . Data Scientist, Marketing Insights and Analytics Los Angeles, CA $136,800 - $28,000 3 weeks ago Los Angeles, CA 85,000 - 120,000 1 hour ago Burbank, CA 114,900.00 - 154,100.00 1 month ago ML Software Engineer (L4/L5) - Media Algorithms Los Angeles, CA 85,000.00 - 100,000.00 3 weeks ago Los Angeles Metropolitan Area 150,000.00 - 175,000.00 2 weeks ago Data Scientist – Generative AI & Medicare Risk Adjustment Analytics Orange, CA $1 9,882.00 - 224,823.00 3 days ago Data Scientist (Statistical Research), Marketing Insights and Analytics Los Angeles, CA 167,538.00 - 312,867.00 3 weeks ago Irwindale, CA 126,000.00 - 189,000.00 4 days ago Los Angeles Metropolitan Area 125,500 - 212,800 2 weeks ago Los Angeles, CA 170,000 - 230,000 2 weeks ago Los Angeles, CA 180,000 - 190,000 1 month ago Los Angeles, CA 8,840.90 - 11,912.82 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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

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

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.

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