data science and iot manager

Coca-Cola HBC

<div>
 <p>
  Department: Connected Customer and Consumer.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a
  <strong>
   Technical Lead - Commercial IoT
  </strong>
  within Digital &amp; Technology Platforms Services (DTPS) you will architect, lead, and deliver scalable and secure IoT solutions tailored for commercial environments. In this role, you will oversee the design and integration of IoT systems that enhance operational efficiency, enable real-time analytics, and drive data-informed decision-making across various commercial domains.
 </p>
 <p>
  You will work closely with product managers, hardware engineers, data engineers, cloud architects, and external vendors to build robust solutions that span edge devices, connectivity, cloud platforms, and front-end applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR KEY RESPONSIBILITIES
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Lead full‑cycle delivery of IoT solutions across commercial equipment (coffee machines, vending, coolers, post‑mixes, etc.).
  </li>
  <li>
   Architect scalable systems integrating edge devices, gateways, Azure cloud, and applications.
  </li>
  <li>
   Define technical requirements, use cases, and roadmaps with product stakeholders.
  </li>
  <li>
   Mentor engineering teams across firmware, backend, cloud, and mobile/web.
  </li>
  <li>
   Guide hardware/software integration including sensors, controllers, and embedded devices.
  </li>
  <li>
   Ensure data pipeline accuracy from telemetry to cloud storage and analytics.
  </li>
  <li>
   Champion security, scalability, and interoperability across the IoT ecosystem.
  </li>
  <li>
   Maintain technical documentation, perform code reviews, and ensure QA standards.
  </li>
  <li>
   Coordinate with vendors and manufacturers on solution integrations.
  </li>
  <li>
   Select and manage communication protocols such as MQTT, CoAP, and HTTPS.
  </li>
  <li>
   Handle performance optimization, troubleshooting, and deployment support.
  </li>
  <li>
   Ensure high‑quality vendor deliverables and smooth transition to support.
  </li>
  <li>
   Identify dependencies across Commercial IoT initiatives.
  </li>
  <li>
   Act as a senior developer for complex tasks and lead by example.
  </li>
  <li>
   Collect vendor feedback to drive continuous improvement and delivery maturity.
  </li>
  <li>
   Automate build and deployment processes to support CI/CD frameworks.
  </li>
  <li>
   Collaborate with DevOps, Product Managers, and Architects to define specs, refine backlog items, and estimate effort.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Electronics, Electrical Engineering, or related field.
  </li>
  <li>
   5+ years in software/firmware/database development, including 2+ years in technical leadership.
  </li>
  <li>
   Hands-on experience with embedded systems, edge computing, data streaming, and storage.
  </li>
  <li>
   Knowledge of IoT protocols (MQTT, CoAP, HTTPS).
  </li>
  <li>
   Experience with cloud platforms and services.
  </li>
  <li>
   Strong skills in data processing, SQL, and API integration.
  </li>
  <li>
   Proficiency in languages like C/C++, .NET, Python, JavaScript, or Node.js.
  </li>
  <li>
   Understanding of IoT, cloud, and data security best practices.
  </li>
  <li>
   Experience with CI/CD, DevOps, and agile delivery.
  </li>
  <li>
   Strong problem-solving, communication, and leadership capabilities.
  </li>
  <li>
   Familiarity with AI/ML for IoT analytics or edge intelligence.
  </li>
  <li>
   Awareness of compliance frameworks (GDPR, ISO 27001, energy standards).
  </li>
  <li>
   Background in startup/scale-up or product-driven environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 </p>
 <p>
  We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 </p>
 <p>
  We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 </p>
 <p>
  And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 </p>
</div>


Technical Lead- IoT

<div><div><div><div><div><div><div><div>Egypt (Cairo) &bull; Greece (Athens) &bull; Bulgaria (Sofia)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Leaders
</div></div></div></div></div></div><div><div><div><div><div><div><b>Department:</b> Consumer &amp; Customer Platform &amp; Digital Factory
</div><div><b>Location: </b>Egypt, Greece, Bulgaria.<br>
</div><div></div><br>
<div><b>As a Product Configuration Lead &ndash; Commercial IoT </b>within Digital &amp; Technology Platforms Services (DTPS) you will be responsible for the development and lifecycle of IoT products and solutions tailored to commercial use cases such as connected coffee machines, connected vending systems, connected coolers, etc. In this role, you will support development of IoT platform, ensuring efficient data collection, network communication and data management. The ideal candidate has strong market knowledge, expertise in IoT hardware needs, and technical proficiency in IoT systems, including Data processing/storage designs topics, schema registry, IoT Hub or Kafka producers/consumers, enrichment/aggregation pipelines.<br>
</div><div></div><br>
<div><b>YOUR KEY RESPONSIBILITIES:
</b></div><ul><li>Analyze business requirements for IoT architecture solutions, and create development specifications.
</li><li>Recommend and implement IoT components and cloud services
</li><li>Support end-to-end IoT systems design and development, including:
</li></ul><div>o Device connectivity
</div><div>o Data ingestion pipelines
</div><div>o Cloud storage and analytics
</div><ul><li>Integrate IoT platforms with:
</li></ul><div>o Enterprise systems (ERP, CRM)
</div><div>o Data Lake and dashboards
</div><ul><li>Define data models, APIs, and integration layers
</li><li>Ensure security, scalability, and reliability of IoT systems
</li><li>Support deployment and onboarding of devices
</li><li>Provide technical consulting and client-facing presentations
</li><li>Troubleshoot system performance and connectivity issues
</li><li>Stay current on IoT technologies, platforms, regulations, and commercial applications.<br>
</li></ul><div></div><br>
<div><b>ARE THESE YOUR SECRET INGREDIENTS?
</b></div><ul><li>University Degree in a relevant area
</li><li>5+ years of experience in development of IoT solutions with focus on Data &amp; Integration REST APIs, Message brokers (MQTT, Kafka), SQL / NoSQL databases
</li><li>Deep understanding of commercial IoT use cases (e.g., connected drinks equipment, etc.).
</li><li>Strong technical acumen: comfortable working with IoT devices, gateways, cloud platforms, APIs, and dashboards.
</li><li>Prior experience with:
</li></ul><div>o Azure IoT Hub
</div><div>o Experience with Programming &amp; Scripting (Python JavaScript / Node.js&hellip;)
</div><div>o Data &amp; Integration REST APIs, Message brokers (MQTT, Kafka), SQL / NoSQL databases
</div><div>o Networking &amp; Protocols (MQTT, HTTP, AMQP, Device-to-cloud communication models)
</div><div>o Security Device authentication (certificates, keys), Encryption (TLS/SSL), Identity and access management
</div><ul><li>Familiarity with data privacy, security, and compliance requirements in commercial IoT.
</li><li>Experience working with cross-functional teams: engineering, UX/UI, data, sales, and operations.
</li><li>Experience working in startups or early-stage product development environments.
</li><li>English proficiency<br>
</li></ul><div></div><br>
<div><b>ABOUT YOUR NEW TEAM:
</b></div><div>We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
</div><div>We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
</div><div>We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
</div><div>And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.<br>
</div><div></div><br>
<div><b>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
</b></div><div>At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.</div><div>
</div></div></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Learning programs</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div>
</div></div><div><div><div>Volunteering Opportunities</div>
</div></div><div><div><div>Wellbeing program</div></div></div></div></div></div></div>

Product Configuration Lead - Commercial IoT

<div><div><div><div><div><div><div><div>Egypt (Cairo) &bull; Greece (Athens) &bull; Bulgaria (Sofia)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><b>Department:</b> Consumer &amp; Customer Platform &amp; Digital Factory
</div><div><b>Location:</b> Egypt, Greece, Bulgaria.<br>
</div><div></div><br>
<div><b>As a Product Configuration Expert &ndash; Commercial IoT </b>within Digital &amp; Technology Platforms Services (DTPS) you will be responsible for the development and lifecycle of IoT products and solutions tailored to commercial use cases such as connected coffee machines, connected vending systems, connected coolers, etc. In this role, you will develop firmware and embedded software for IoT devices, ensuring efficient data collection, network communication, operation on limited hardware, and IoT devices integration with OEM devices. The ideal candidate has strong market knowledge, expertise in IoT hardware needs, and technical proficiency in IoT systems.</div><div></div><div><b><br>
YOUR KEY RESPONSIBILITIES:
</b></div><div>Architect and develop embedded firmware for IoT-enabled equipment.
</div><ul><li>Program microcontrollers using C/C++ and Python, ensuring reliability in production environments.
</li><li>Design and integrate hardware subsystems, including:
</li></ul><div>o Sensors (temperature, flow, pressure, level)
</div><div>o Actuators (pumps, valves, motors)
</div><div>o Communication modules (Wi-Fi, Bluetooth, NB-IoT)
</div><ul><li>Implement and maintain device communication protocols:
</li></ul><div>o MQTT, HTTP, and custom protocols
</div><ul><li>Lead hardware integration with OEM equipment (coffee machines, vending systems, coolers), including:
</li></ul><div>o Reverse engineering interfaces where required
</div><div>o Ensuring robust interoperability and safety
</div><div>o Connectivity with 3rd party controllers / devices using Modbus, RS232, RS485 protocols
</div><ul><li>Optimize systems for:
</li></ul><div>o Low power consumption
</div><div>o Memory efficiency
</div><div>o Real-time performance
</div><div>o Efficient communication via GSM network channels 4G etc.
</div><ul><li>Collaborate with backend and product teams to ensure seamless integration with:
</li></ul><div>o IoT platforms ( Azure IoT Hub)
</div><div>o APIs, dashboards, and data pipelines
</div><ul><li>Support device lifecycle management:
</li></ul><div>o Provisioning, OTA updates, monitoring, and diagnostics
</div><ul><li>Ensure compliance with security, data privacy, and industry regulations
</li><li>Stay up to date with emerging IoT technologies, connectivity standards, and embedded best practices<br>
</li></ul><div></div><br>
<div><b>ARE THESE YOUR SECRET INGREDIENTS?
</b></div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Electrical Engineering, Embedded Systems, Computer Engineering, or related field
</li><li>5+ years of experience in embedded systems development , Including 2+ years in IoT / connected devices
</li><li>Strong proficiency in:
</li></ul><div>o C / C++ (embedded)
</div><div>o Python (for tooling, scripting, or edge logic)
</div><ul><li>Hands-on experience with:
</li></ul><div>o Microcontrollers (e.g., STM32, ESP32, ARM Cortex)
</div><div>o Peripheral interfaces (UART, SPI, I2C)
</div><ul><li>Proven experience integrating IoT hardware with OEM equipment. Preferably in coffee machines, vending systems, or refrigeration units
</li><li>Solid understanding of:
</li></ul><div>o Connectivity protocols (MQTT, HTTP etc)
</div><div>o GSM module architecture, functionality and use in embedded systems
</div><div>o Cloud IoT platforms (Azure IoT Hub)
</div><ul><li>Experience optimizing embedded systems for constrained environments
</li><li>Familiarity with:
</li></ul><div>o Secure device communication (TLS, certificates)
</div><div>o Over the air firmware updates and fleet management Experience working with cross-functional teams: engineering, UX/UI, data, sales, and operations.
</div><ul><li>Experience working in startups or early-stage product development environments.
</li><li>English proficiency<br>
</li></ul><div></div><br>
<div><b>ABOUT YOUR NEW TEAM:
</b></div><div>We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
</div><div>We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
</div><div>We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
</div><div>And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.<br>
</div><div></div><br>
<div><b>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
</b></div><div>At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.</div><div>
</div></div></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>Learning programs</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div>
</div></div><div><div><div>Volunteering Opportunities</div>
</div></div><div><div><div>Wellbeing program</div></div></div></div></div></div></div>

Product Configuration Expert - Commercial IoT

Vodafone

<div>
 <strong>
  Join Us
  <br/>
  <br/>
 </strong>
 At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Enhance existing products
  </li>
  <li>
   Identify customers needs, problems and trends as well as business and stakeholders&rsquo; requirements and translate them into development requests
  </li>
  <li>
   Implement the product roadmap and Latest technology awareness
  </li>
  <li>
   Own the basic deployments on the different environments
  </li>
  <li>
   Own the deployment of stories and EPICs
  </li>
  <li>
   Marketing &amp; Communications
  </li>
  <li>
   Validate and enhance products channels
  </li>
  <li>
   Craft Sales Pitches for Sales Team
  </li>
  <li>
   Create and maintain comprehensive product collateral including template legal agreements, pricing manuals and customer facing documentation
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Participate in the development of IoT Connectivity management platform, to meet the needs of organizations (FinTech&rsquo;s, Mobile Money Operators, Microfinance Institutions,
 <br/>
 <br/>
 <ul>
  <li>
   Banks, couriers, retail&hellip; etc.) in our target market
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Good communication and conflict resolution skills along with the ability to interrelate effectively with different stakeholders
  </li>
  <li>
   Developing and launching digital and mobile products experience is a plus
  </li>
  <li>
   Agile methodologies awareness and familiarly with Agile tools is a plus
  </li>
  <li>
   Commercial awareness
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Project management skills
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s degree in information technology, software engineering, computer science, or related field.
  </li>
  <li>
   Good Agile knowledge
  </li>
  <li>
   2-5 years of experience in product development, product management, or Business Analysis
  </li>
  <li>
   Very good analytical abilities; strong bias towards data-based decision making
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.
 <br/>
 <br/>
 Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.
 <br/>
 <br/>
 If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
 <br/>
 <br/>
 Together we can.
</div>


IoT Connectivity Product Owner

VodafoneThree

<div><div><div><div><h2 class="jobSectionHeader"><b>Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><ul><li>Enhance existing products
</li><li>Identify customers needs, problems and trends as well as business and stakeholders&rsquo; requirements and translate them into development requests</li><li>
Implement the product roadmap and Latest technology awareness
</li></ul><ul><li>Own the basic deployments on the different environments.</li><li>
Own the deployment of stories and EPICs.</li><li>
Marketing &amp; Communications</li></ul><ul><li>
Validate and enhance products channels.</li><li>
Craft Sales Pitches for Sales Team.</li><li>
Create and maintain comprehensive product collateral including template legal agreements, pricing manuals and customer facing documentation</li></ul><p>
Participate in the development of IoT Connectivity management platform, to meet the needs of organizations (FinTech&rsquo;s, Mobile Money Operators, Microfinance Institutions,
</p><ul><li>Banks, couriers, retail&hellip; etc.) in our target market</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who you are</b></h2>
</div><div><ul><li>Good communication and conflict resolution skills along with the ability to interrelate effectively with different stakeholders.</li><li>
Developing and launching digital and mobile products experience is a plus</li><li>
Agile methodologies awareness and familiarly with Agile tools is a plus</li><li>
Commercial awareness.</li></ul><p>
Project management skills</p><ul><li>
Bachelor&rsquo;s degree in information technology, software engineering, computer science, or related field.
</li><li>Good Agile knowledge.</li><li>
2-5 years of experience in product development, product management, or Business Analysis</li><li>
Very good analytical abilities; strong bias towards data-based decision making</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we are</b></h2>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div>

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>4/10/2026</p>
</div><div><p>Description</p>
<div>Manager, Data Science - AI for Data<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p><b>
Team Description</b></p><p>
The AI for Data team works with the Enterprise Data Product, Tech and Design teams to develop AI-enabled features that are integrated across the data lifecycle. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies.</p><p><b>
Role Description</b></p><p>
In this role, you will:</p><ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li><li>
Move fast in an environment with ambiguity at times, and with competing priorities and deadlines.</li><li>
Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform.</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li><li>
A data guru. &ldquo;Big data&rdquo; doesn&rsquo;t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics</li></ul></li><li>
At least 1 year of experience leveraging open source programming languages for large scale data analysis</li><li>
At least 1 year of experience working with machine learning</li><li>
At least 1 year of experience utilizing relational databases</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics</li><li>
At least 1 year of experience working with AWS</li><li>
At least 4 years&rsquo; experience in Python, SQL</li><li>
At least 4 years&rsquo; experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures.</li><li>
At least 4 years&rsquo; experience with Natural Language Processing, Information Retrieval, Search, Recommendations, Fine-tuning on LLM on specific applications.</li></ul><p>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $197,300 - $225,100 for Mgr, Data Science<br>
<p></p>
New York, NY: $215,200 - $245,600 for Mgr, Data Science<br>
<p></p>
San Jose, CA: $215,200 - $245,600 for Mgr, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Manager, Data Science - AI for Data<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p><b>
Team Description</b></p><p>
The AI for Data team works with the Enterprise Data Product, Tech and Design teams to develop AI-enabled features that are integrated across the data lifecycle. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies.</p><p><b>
Role Description</b></p><p>
In this role, you will:</p><ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li><li>
Move fast in an environment with ambiguity at times, and with competing priorities and deadlines.</li><li>
Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform.</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li><li>
A data guru. &ldquo;Big data&rdquo; doesn&rsquo;t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics</li></ul></li><li>
At least 1 year of experience leveraging open source programming languages for large scale data analysis</li><li>
At least 1 year of experience working with machine learning</li><li>
At least 1 year of experience utilizing relational databases</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics</li><li>
At least 1 year of experience working with AWS</li><li>
At least 4 years&rsquo; experience in Python, SQL</li><li>
At least 4 years&rsquo; experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures.</li><li>
At least 4 years&rsquo; experience with Natural Language Processing, Information Retrieval, Search, Recommendations, Fine-tuning on LLM on specific applications.</li></ul><p>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $197,300 - $225,100 for Mgr, Data Science<br>
<p></p>
New York, NY: $215,200 - $245,600 for Mgr, Data Science<br>
<p></p>
San Jose, CA: $215,200 - $245,600 for Mgr, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
197,300.00 - 225,100.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Manager, Data Science - AI for Data

Capital One

<div>Manager, Data Science - AI for Data<p></p><p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p></p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p></p><p><b>
Team Description</b></p><p>
The AI for Data team works with the Enterprise Data Product, Tech and Design teams to develop AI-enabled features that are integrated across the data lifecycle. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies.</p><p></p><p><b>
Role Description</b></p><p>
In this role, you will:</p><ul><li><p>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</p></li><li><p>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</p></li><li><p>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</p></li><li><p>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</p></li><li><p>
Move fast in an environment with ambiguity at times, and with competing priorities and deadlines.</p></li><li><p>
Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform.</p></li></ul><p></p><p><b>
The Ideal Candidate is:</b></p><ul><li><p>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</p></li><li><p>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</p></li><li><p>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</p></li><li><p>
A data guru. &ldquo;Big data&rdquo; doesn&rsquo;t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><ul><li><p>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:</p><ul><li><p>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics</p></li><li><p>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics</p></li><li><p>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics</p></li></ul></li><li><p>
At least 1 year of experience leveraging open source programming languages for large scale data analysis</p></li><li><p>
At least 1 year of experience working with machine learning</p></li><li><p>
At least 1 year of experience utilizing relational databases</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics</p></li><li><p>
At least 1 year of experience working with AWS</p></li><li><p>
At least 4 years&rsquo; experience in Python, SQL</p></li><li><p>
At least 4 years&rsquo; experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures.</p></li><li><p>
At least 4 years&rsquo; experience with Natural Language Processing, Information Retrieval, Search, Recommendations, Fine-tuning on LLM on specific applications.</p></li></ul><p></p><p>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
McLean, VA: $197,300 - $225,100 for Mgr, Data Science<br>
<p></p>
New York, NY: $215,200 - $245,600 for Mgr, Data Science<br>
<p></p>
San Jose, CA: $215,200 - $245,600 for Mgr, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Search 10000+ Data science and iot manager jobs near you this April. New roles added regularly across leading industries. Apply today.

10000 data science and iot manager jobs Near Me

Technical Lead- IoT

Product Configuration Lead - Commercial IoT

Product Configuration Expert - Commercial IoT

IoT Connectivity Product Owner

IoT Connectivity Product Owner

Manager, Data Science - AI for Data

Manager, Data Science - AI for Data