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software engineer data engineer ii

DoorDash

<div>
 
 About the Team
 
 
 
 Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
 
 
 
 About the Role
 
 
 
 DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
 
 
 
 You're excited about this opportunity because you will&hellip;
 
 
 
 <ul>
 <li>
 Own critical data systems that support multiple products/teams
 </li>
 <li>
 Develop, implement and enforce best practices for data infrastructure and automation
 </li>
 <li>
 Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
 </li>
 <li>
 Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
 </li>
 <li>
 Manage a portfolio of data products that deliver high-quality, trustworthy data
 </li>
 <li>
 Help onboard and support other engineers as they join the team
 
 
 </li>
 </ul>
 
 We're excited about you because&hellip;
 
 
 
 <ul>
 <li>
 3+ years of professional experience
 </li>
 <li>
 3+ years experience working in data platform and data engineering or a similar role
 </li>
 <li>
 Proficiency in programming languages such as Python/Kotlin/Scala
 </li>
 <li>
 3+ years of experience in ETL orchestration and workflow management tools like Airflow
 </li>
 <li>
 Expert in database fundamentals, SQL, data reliability practices and distributed computing
 </li>
 <li>
 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
 </li>
 <li>
 Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
 </li>
 <li>
 Comfortable working in fast paced environment, self starter and self organizing
 </li>
 <li>
 Ability to think strategically, analyze and interpret market and consumer information
 </li>
 <li>
 You must be located near one of our engineering hubs indicated above
 
 
 </li>
 </ul>
 Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
 
 
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
 
 https://getcovey.com/nyc-local-law-144
 
 
 
 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
 
</div>

Software Engineer, Data Engineer II

Tata Technologies

<div>
 
 
 Exterior Engineer
 
 
 
 Job Location: Pune
 
 
 Experience: 6-10 yrs
 
 
 
 Scope of Role:
 
 Exterior Engineer is responsible to within the area of exterior trims product development and details product design according to standards and guidelines. Translate defined product design performance criteria in CAD data &amp; specifications. Applies a variety of concepts, practices, and procedures related to Automotive Exterior trims
 
 
 
 Area of Responsibility
 
 
 
 This position is responsible for new design and development of exterior trims like Bumpers, Wheel arch liners, Cladding, Cowl vent grill, Canopy parts, Roof rail finishers, Spoiler etc. Should be able to produce engineering design and concepts into 3D model using CATIA V5.
 
 
 You will have responsibility for:
 
 <ul>
 <li>
 Design and development of exterior trim parts by using CATIA V5 software.
 </li>
 <li>
 Provide technical solution and generate CAD data (3D &amp; 2D) for exterior trims.
 </li>
 <li>
 Development of Concept and Master sections, leading and progressing the design in line with the program timescales and deliverable cadence (CATIA V5)
 </li>
 <li>
 Design Exterior trim product assembly parts to meet styling intent and ensure regulatory requirements
 </li>
 <li>
 Adequate knowledge of plastic moulding and design process, DFMEA, DVP, DFA/DFM &amp; GD&amp;T.
 </li>
 <li>
 Knowledge of GD&amp;T; and its implications, Supplier Statement-Of-Requirements, component drawings, Standards and Guidelines etc.
 </li>
 <li>
 Interface with Customer engineering and supplier to achieve technically feasible designs.
 </li>
 <li>
 Ensure overall product design including implementation into CAD by using inputs with regard to results of simulation, tests and validation and all project deliverables are met.
 </li>
 <li>
 Upholds customer working practices, rules and regulations and supports a positive collaborative culture.
 </li>
 <li>
 Maintain design logs of all engineering requests or direction
 </li>
 <li>
 Ensuring issues that cannot be resolved are escalated to Lead Engineer
 </li>
 <li>
 Ensuring that the all project deliverables is met at given time.
 </li>
 <li>
 Identifying all risks of the programme and make appropriate capitalization documents (Lessons learned, Technical Reports) to feed/improve Design and Development standards and guidelines.
 </li>
 <li>
 To be able to assign and get the work done from GETs, CAD Engineers.
 </li>
 <li>
 Ensuring issues that cannot be resolved are escalated to Lead Engineer
 </li>
 </ul>
 
 
 Essential:
 
 
 <ul>
 <li>
 Automotive product engineering experience required specifically in automotive Exterior trim system and component design with a strong preference for experience with the Exterior plastic design.
 </li>
 <li>
 Extensive experience in using CATIA V5
 </li>
 <li>
 Excellent oral and written communication skills
 </li>
 <li>
 Good Knowledge of and/or training in:
 </li>
 <li>
 Global Exterior trim regulations (Knowhow of Indian standards will be an added advantage)
 </li>
 <li>
 Plastic injection moulding processes (both tooling and design)
 </li>
 <li>
 Exterior trim design validation requirement
 </li>
 <li>
 Exterior parts specific manufacturing requirement
 </li>
 <li>
 Design and development knowledge of exterior trim such as Bumpers, Wheel arch liners, Cladding, Cowl vent grill, Canopy parts, Roof rail finishers, Spoiler etc.
 </li>
 <li>
 PC Literacy: Microsoft Project, Power Point, Excel, Word, CatiaV5, etc
 </li>
 <li>
 Ability to generate CAD data in Catia V5.
 </li>
 <li>
 Working knowledge of project delivery processes e.g. PPAP Working
 </li>
 </ul>
 
 
</div>

Exterior Engineer

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 Barclays
 
 to connect them with exceptional tech professionals for this role.
 
 
 
 Join us as a Software Engineer at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.
 
 
 To be successful as a Software Engineer , you should have experience with:
 
 
 <ul>
 <li>
 Understanding of Global PayPlus (GPP).
 </li>
 <li>
 Scripting and Programming Language : Shell Scripting and C++.
 </li>
 <li>
 DevSec Platform : GITLab (version Control, CI/CD Pipeline) and GITLab Duo, Jenkins.
 </li>
 <li>
 Database : Oracle.
 </li>
 <li>
 Operating System : Unix, Linux.
 </li>
 <li>
 Tools : Tivoli Work Scheduler (TWS), Chef.
 
 
 </li>
 </ul>
 
 Some Other Highly Valued Skills May Include
 
 
 
 <ul>
 <li>
 High Value Payment Domain Knowledge.
 </li>
 <li>
 Agile Methodology.
 </li>
 <li>
 Knowledge of automated, performance testing tools and techniques (basic).
 
 
 </li>
 </ul>
 You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
 
 
 The role is based out of Pune.
 
 
 
 Purpose of the role
 
 
 
 To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
 </li>
 <li>
 Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
 </li>
 <li>
 Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
 </li>
 <li>
 Stay informed of industry technology trends and innovations and actively contribute to the organization&rsquo;s technology communities to foster a culture of technical excellence and growth.
 </li>
 <li>
 Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
 </li>
 <li>
 Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
 
 
 </li>
 </ul>
 
 Analyst Expectations
 
 
 
 <ul>
 <li>
 To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
 </li>
 <li>
 Requires in-depth technical knowledge and experience in their assigned area of expertise
 </li>
 <li>
 Thorough understanding of the underlying principles and concepts within the area of expertise
 </li>
 <li>
 They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
 </li>
 <li>
 If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others.
 </li>
 <li>
 OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
 </li>
 <li>
 Will have an impact on the work of related teams within the area.
 </li>
 <li>
 Partner with other functions and business areas.
 </li>
 <li>
 Takes responsibility for end results of a team&rsquo;s operational processing and activities.
 </li>
 <li>
 Escalate breaches of policies / procedure appropriately.
 </li>
 <li>
 Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
 </li>
 <li>
 Advise and influence decision making within own area of expertise.
 </li>
 <li>
 Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
 </li>
 <li>
 Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
 </li>
 <li>
 Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
 </li>
 <li>
 Make evaluative judgements based on the analysis of factual information, paying attention to detail.
 </li>
 <li>
 Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
 </li>
 <li>
 Guide and persuade team members and communicate complex / sensitive information.
 </li>
 <li>
 Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.
 
 
 </li>
 </ul>
 All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.
</div>

Software Engineer

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 5 years of experience with software development in one or more programming languages.
 </li>
 <li>
 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 8 years of development technical leadership experience.
 </li>
 <li>
 Experience in cloud platforms, virtualization, and platform security.
 </li>
 <li>
 Experience in system programming/kernel development.
 </li>
 <li>
 Experience with Linux, OS/Operating Systems Internals, Virtual Machine Extension (VMX), Kernel Development, Drivers.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Participate in defining the vision, strategy, and roadmap as you drive projects through their entire life-cycle.
 </li>
 <li>
 Play a key role within engineering to design, develop, and deploy security products and initiatives that span across multiple domains and across cloud.
 </li>
 <li>
 Design, develop and maintain software components to support confidential computing use-cases for Google Cloud Security. Own the quality of the work by writing extensive unit and integration tests.
 </li>
 <li>
 Participate in code reviews, debugging, and troubleshooting to ensure high-quality software deliverables.
 </li>
 <li>
 Contribute towards building strong technical capabilities in the India team by mentoring/coaching other team members fostering a culture of continuous learning and growth within the team. Work closely with the cross-functional and cross-geo team to ensure seamless integration.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Sulzer

<div>
 
 
 Job Role - Data Center Engineer / Specialist
 
 
 
 
 
 
 
 Purpose of the Role
 
 
 
 The Data Center Engineer is responsible for ensuring stable, secure, and efficient operations across on-premises and cloud based infrastructure. This role combines server platform expertise, modern application hosting practices, and strong security awareness to support enterprise grade environments and global IT services. Premises and cloud based infrastructure. This role combines server platform expertise, modern application hosting practices, and strong security awareness to support enterprise grade environments and global IT services.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 :
 
 
 
 Server &amp; OS Platform Management
 
 
 <ul>
 <li>
 Manage, configure, and troubleshoot
 
 Windows Server
 
 and
 
 Linux
 
 systems across virtualized and physical environments.
 </li>
 <li>
 Execute OS level changes, patching, lifecycle upgrades, and configuration adjustments following established Sops. Level changes, patching, lifecycle upgrades, and configuration adjustments following established SOPs.
 </li>
 <li>
 Monitor platform performance, capacity, and health to ensure stable datacenter operations.
 </li>
 </ul>
 
 
 Application Containerization &amp; Modern Hosting
 
 
 <ul>
 <li>
 Deploy, manage, and optimize containerized workloads using technologies such as Docker or Kubernetes.
 </li>
 <li>
 Collaborate with business application, development and infrastructure teams to migrate traditional applications into containerized or cloud-native environments.
 </li>
 <li>
 Ensure consistency of container images, registries, and runtime environments across platforms.
 </li>
 </ul>
 
 
 Cloud Architecture (Azure &amp; Google Cloud)
 
 
 <ul>
 <li>
 Support hybrid cloud architectures including
 
 Azure
 
 and
 
 Google Cloud Platform
 
 , ensuring alignment with organizational cloud strategy.
 </li>
 <li>
 Assist in cloud solution design covering networking, security, IAM, compute, storage, and monitoring.
 </li>
 <li>
 Participate in cloud migration initiatives and continuous improvement of cloud operations.
 </li>
 </ul>
 
 
 Vulnerability &amp; Security Management
 
 
 <ul>
 <li>
 Proactively identify, assess, and remediate vulnerabilities across servers, applications, and cloud environments.
 </li>
 <li>
 Work closely with Information Security to implement required hardening, baselines, and monitoring controls.
 </li>
 <li>
 Ensure server and service compliance with corporate security standards and audit requirements.
 </li>
 </ul>
 
 
 Operational Excellence &amp; Incident Handling
 
 
 <ul>
 <li>
 Provide L2/L3 support for escalated incidents and major operational issues in datacenter and cloud services.
 </li>
 <li>
 Participate in change management, maintenance windows, and service restoration activities.
 </li>
 <li>
 Maintain UpToDate documentation of configurations, architectures, SOPs, and operational guidelines.
 </li>
 </ul>
 
 
 Project &amp; Continuous Improvement Work
 
 
 <ul>
 <li>
 Contribute to infrastructure modernization, cloud programs, automation initiatives, and service optimization projects.
 </li>
 <li>
 Validate new deployments, upgrades, and architectural enhancements to ensure performance and compliance.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years of working experience in IT, preferably in the Data Center / Cloud Hosting area
 </li>
 <li>
 Strong hands-on experience with
 
 Windows Server
 
 and
 
 Linux
 
 system administration.
 </li>
 <li>
 Understanding of
 
 containerization technologies
 
 (Docker, Kubernetes, container registries).
 </li>
 <li>
 Working knowledge of
 
 Azure
 
 and
 
 Google Cloud
 
 architecture principles (networking, IAM, compute, deployment models).
 </li>
 <li>
 Familiarity with
 
 vulnerability scanning
 
 , remediation workflows, and security baselining.
 </li>
 <li>
 Experience with monitoring tools, server security tooling (e.g., MS Defender), and automation techniques (e.g., PowerShell, Terraform).
 </li>
 <li>
 Fluent in English (written and verbal)
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Analytical, proactive, and solution-oriented mindset. oriented mindset.
 </li>
 <li>
 Strong communication and ability to work collaboratively in global teams.
 </li>
 <li>
 Ability to act independently while supporting cross functional projects.
 </li>
 </ul>
 
 
</div>

Data Center Engineer / Specialist

Deutsche Telekom

<div>
 
 Deine Aufgabe
 
 
 
 Wir suchen einen
 
 Data Scientist
 
 mit 6-9 Jahren Erfahrung f&uuml;r die Entwicklung und Implementierung fortschrittlicher Machine-Learning-Modelle zur Reduzierung von Kundenabwanderung und Stornierungen. Diese Rolle beinhaltet die enge Zusammenarbeit mit funktions&uuml;bergreifenden Teams, um pr&auml;diktive L&ouml;sungen zu entwickeln, die gef&auml;hrdete Kunden vor Stornierungsereignissen identifizieren und proaktive Bindungsstrategien erm&ouml;glichen.
 
 
 Der Data Scientist spielt eine Schl&uuml;sselrolle bei der End-to-End-Modellentwicklung, von der Datenexploration und Feature-Engineering bis hin zum Training, der Evaluierung und dem Deployment von Modellen in der GCP-Umgebung. Die Arbeit umfasst die Nutzung gro&szlig;er Datenpipelines mit PySpark, die Entwicklung von ML- und Deep-Learning-Modellen mit Python und PyTorch sowie die Zusammenarbeit mit Data Engineering und Fachbereichen, um Produktionsreife und messbaren Gesch&auml;ftserfolg sicherzustellen.
 
 
 W&auml;hrend der anf&auml;ngliche Fokus auf der Reduzierung von Breitband-Auftragsstornierungen liegt, wird das zugrundeliegende ML-Framework so konzipiert, dass es zuk&uuml;nftige Anwendungen wie Kundenlebenszyklusmanagement, Upsell/Cross-Sell-Prognosen und Servicequali&auml;tsanalysen in verschiedenen Gesch&auml;ftsbereichen unterst&uuml;tzt.
 
 
 
 Aufgaben
 
 
 
 <ul>
 <li>
 Durchf&uuml;hrung von Datenexploration und Feature-Engineering auf gro&szlig;en strukturierten und unstrukturierten Datens&auml;tzen
 </li>
 <li>
 Aufbau und Bewertung pr&auml;diktiver ML- und Deep-Learning-Modelle zur Vorhersage von Kundenverhalten, einschlie&szlig;lich Customer Lifetime Value (CLV), Abwanderung und Konversionsneigung
 </li>
 <li>
 Zusammenarbeit mit Data-Engineering-Teams zur Entwicklung skalierbarer Datenpipelines auf Google Cloud Platform (GCP)
 </li>
 <li>
 Zusammenarbeit mit Produkt- und Engineering-Teams, um Datenmodelle und analytische Frameworks mit Gesch&auml;ftszielen abzustimmen
 </li>
 <li>
 &Uuml;bersetzung analytischer Erkenntnisse in umsetzbare Einsichten zur Unterst&uuml;tzung von Marketing- und Bindungsstrategien
 </li>
 <li>
 Beitrag zu MLOps-Praktiken f&uuml;r kontinuierliche Modellverbesserung und -bereitstellung
 </li>
 <li>
 Unterst&uuml;tzung weiterer datengetriebener Initiativen &uuml;ber die Stornierungsvorhersage hinaus, wie Personalisierung, Kundenbindung und Service-Analytik
 
 
 </li>
 </ul>
 
 Dein
 
 Profil
 
 
 
 
 Wir suchen einen erfahrenen
 
 Data Scientist/ML Engineer
 
 mit 6-9 Jahren Erfahrung zur Entwicklung fortschrittlicher Machine-Learning-Modelle f&uuml;r Kundenabwanderungsreduzierung und Bestellstornierungsvorhersage.
 
 
 
 Muss-Kriterien
 
 
 
 <ul>
 <li>
 6-9 Jahre Erfahrung in Data Science oder Machine Learning
 </li>
 <li>
 Erfahrung mit Datenexploration und Feature Engineering auf gro&szlig;en Datens&auml;tzen
 </li>
 <li>
 Kompetenz im Aufbau und der Evaluierung von pr&auml;diktiven ML- und Deep-Learning-Modellen
 </li>
 <li>
 Erfahrung mit Python f&uuml;r Machine-Learning-Entwicklung
 </li>
 <li>
 Erfahrung mit PyTorch f&uuml;r Deep-Learning-Modelle
 </li>
 <li>
 Kenntnisse in PySpark f&uuml;r umfangreiche Datenpipelines
 </li>
 <li>
 Erfahrung in der Arbeit mit Google Cloud Platform (GCP)
 </li>
 <li>
 F&auml;higkeit zur Zusammenarbeit mit funktions&uuml;bergreifenden Teams
 </li>
 <li>
 Erfahrung mit Modellen zur Vorhersage von Kundenverhalten (Churn, CLV, Conversion-Neigung)
 </li>
 <li>
 F&auml;higkeiten, analytische Erkenntnisse in umsetzbare Gesch&auml;ftseinblicke zu &uuml;bersetzen
 
 
 </li>
 </ul>
 
 
 &Uuml;ber uns
 
 
 
 Unternehmensvorstellung &ndash; T-Systems ICT India Pvt. Ltd.
 
 
 
 
 T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.)
 
 ist ein zertifizierter Great Place To Work&reg;, der f&uuml;r seine starke mitarbeiterorientierte Kultur und sein Engagement f&uuml;r Mitarbeiterexzellenz anerkannt ist.
 
 
 Als hundertprozentige Tochtergesellschaft der T-Systems International GmbH ist T-Systems India in Pune und Bangalore t&auml;tig, mit einem dynamischen Team von &uuml;ber 4.200 Fachleuten, die weltweit hochwertige IT-Dienstleistungen f&uuml;r Konzernkunden erbringen.
 
 
 T-Systems India spielt eine Schl&uuml;sselrolle in dieser globalen Vision, indem es integrierte, ganzheitliche IT-L&ouml;sungen und branchenspezifische Software liefert, um die Transformation in verschiedenen Branchen voranzutreiben, darunter:
 
 
 <ul>
 <li>
 Automobilindustrie
 </li>
 <li>
 Fertigung
 </li>
 <li>
 Logistik
 </li>
 <li>
 Transport
 </li>
 <li>
 Gesundheitswesen
 </li>
 <li>
 &Ouml;ffentlicher Sektor
 
 
 </li>
 </ul>
 Seit &uuml;ber 25 Jahren steht
 
 T-Systems International GmbH
 
 an der Spitze der digitalen Innovation, treibt den Fortschritt voran und f&ouml;rdert digitalen Optimismus. Als f&uuml;hrender europ&auml;ischer IT-Dienstleister und stolzer Teil der Deutschen Telekom liefert T-Systems transformative Digitalisierungsprojekte, gest&uuml;tzt auf tiefgreifende Expertise in:
 
 
 <ul>
 <li>
 Beratung
 </li>
 <li>
 Cloud
 </li>
 <li>
 KI
 </li>
 <li>
 Cybersicherheit
 </li>
 <li>
 Konnektivit&auml;t
 
 
 </li>
 </ul>
 Mit einer globalen Belegschaft von 26.000 Mitarbeitern in 26 L&auml;ndern setzen wir Branchenma&szlig;st&auml;be in Effizienz, Souver&auml;nit&auml;t, Sicherheit und Zuverl&auml;ssigkeit &ndash; und bef&auml;higen Organisationen, ihr volles digitales Potenzial zu entfalten.
 
 
 Mit einem Jahresumsatz von &uuml;ber 4,0 Milliarden EUR (2024) ist
 
 T-Systems einer der f&uuml;hrenden Partner f&uuml;r digitale Transformation in Europa
 
 , der sich der Gestaltung der Zukunft der Unternehmenstechnologie verschrieben hat.
 
 
 
 Informationen zur Bewerbung
 
 
 
 Bitte beachte: Betr&uuml;gerische Stellenangebote/Jobbetr&uuml;gereien werden immer h&auml;ufiger. Sei vorsichtig bei irref&uuml;hrenden Anzeigen und betr&uuml;gerischer Kommunikation, die im Namen von T-Systems "Angebotsschreiben" gegen eine Geb&uuml;hr ausstellen. Achte auf eine authentische T-Systems-E-Mail-Adresse - XYZ@t-systems.com .
 
 
 Bleib wachsam. Sch&uuml;tze dich vor Rekrutierungsbetrug!
 
 
 Um mehr zu erfahren, besuche: Betrugswarnung
</div>

Data Scientist (m/w/d)

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for experienced
 
 Data Analysts (MLE Bench)
 
 to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems.
 
 
 
 
 
 The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.
 
 
 
 
 
 
 What does day-to-day life look like?
 
 
 <ul>
 <li>
 Analyze structured and unstructured datasets generated from
 
 ML training, inference, and evaluation pipelines
 
 .
 </li>
 <li>
 Define, compute, and validate
 
 metrics
 
 used to evaluate model performance and behavior.
 </li>
 <li>
 Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
 </li>
 <li>
 Write and run
 
 Python and SQL
 
 code to analyze data, create reports, and support evaluation workflows.
 </li>
 <li>
 Validate data quality, consistency, and correctness across datasets and experiments.
 </li>
 <li>
 Create clear, well-documented analytical artifacts and reproducible analysis workflows.
 </li>
 <li>
 Collaborate with ML engineers and researchers to design
 
 challenging, real-world evaluation scenarios
 
 for MLE Bench.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Minimum
 
 3+ years
 
 of experience as a
 
 Data Analyst or Analytics-focused Engineer
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data analysis.
 </li>
 <li>
 Solid experience with
 
 SQL
 
 and relational datasets.
 </li>
 <li>
 Experience analyzing
 
 ML outputs and evaluation metrics
 
 .
 </li>
 <li>
 Strong understanding of statistics and analytical reasoning.
 </li>
 <li>
 Ability to work with
 
 large, complex datasets
 
 and draw reliable insights.
 </li>
 <li>
 Experience writing
 
 clean, readable, and well-documented analytical code
 
 .
 </li>
 <li>
 Excellent spoken and written
 
 English communication skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Work in a fully remote environment.
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects with leading LLM companies.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitments Required:
 
 At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
 </li>
 <li>
 
 Engagement Type:
 
 Contractor assignment (no medical/paid leave)
 </li>
 <li>
 
 Duration of Contract:
 
 3 months (adjustable based on engagement)
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Data Analyst - 60736

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Remote Data Analyst - 60736