data science and iot manager

NAFFCO FZCO

Job Purpose:To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions. <h3>Key Responsibilities:</h3>· AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.· Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.· System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.· Model Training– Prepare data, select algorithms, and train models with high accuracy and scalability.· Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).· Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements. <h3>Qualifications & Skills:</h3>· Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.· Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).· Proven hands-on experience in ML model training and production deployment.· Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).· Experience in data engineering & API integration.· Familiarity with cloud platforms (AWS, Azure, GCP) and containerization(Docker, Kubernetes).<h3>Key Competencies:</h3>· End-to-end ownership of ML model lifecycle.· Strong analytical and problem-solving skills.· Ability to bridge technical solutions with business impact.

AI Module Development Engineer – IoT & Digital Platforms

SFAI Qatar

We are hiring Fleet Support and IOT Engineer<ul><li>Design, develop, and implement IoT solutions to optimize fleet operations, improve safety &amp; enhance customer experience</li><li>Install, configure, and maintain hardware &amp; software systems that support the Academy's learning environment</li><li>Develop custom software solutions to improve operations, including app integration/development and social media content creation</li><li>Fleet Support System Maintenance and Optimization Maintain and support fleet support systems, ensuring optimal performance &amp; minimal downtime</li><li>Manage and optimize fleet management systems for real-time tracking, maintenance scheduling &amp; reporting</li><li>Implement preventive maintenance for EV and CNG vehicles systems</li><li>Analyze IoT data and fleet support system data to identify trends &amp; areas for improvement</li><li>Develop and provide regular reports to stakeholders, highlighting key performance indicators &amp; areas for improvement</li><li>Identify FMS data trends within the Karwa Academy Fleet Collaboration and Stakeholder Engagement</li><li>Collaborate with cross-functional teams, including operations, maintenance, and customer service</li><li>Communicate technical information to non-technical stakeholders, providing clear and concise explanations</li><li>Coordinate and promote the Academy with external stakeholders, suppliers, service providers &amp; regulatory bodies</li><li>Stay up to date with industry trends, emerging technologies, and best practices in IoT &amp; fleet support systems</li></ul>Job Type: Full-timePay: QAR16,000.00 per month

Fleet Supervisor & IOT Engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
About the Role
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm IoT Software Staff Engineer, you will join Qualcomm IE-IOT Task Force team and work with a team of highly motivated and experienced engineers and industrial players in MEA region for enabling products based on Qualcomm&rsquo;s exciting new IoT focused SoCs with cutting edge AI, Machine learning, computer vision, security and wireless including cellular communication technologies.
You will help design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
You will have expertise in embedded systems and will focus on supporting customers with Qualcomm's cutting-edge AI, machine learning, computer vision, security, and wireless technologies. You'll be responsible for understanding customer requirements, communicating with internal teams, and helping external stakeholders implement their applications on Qualcomm platforms. Key technical areas include experience with embedded systems and familiarity with various operating systems including Android, Linux, Ubuntu, and Windows.
This position offers the opportunity to work with leading technology experts in the industry while helping shape the future of IoT and embedded systems. The role combines technical expertise with customer-facing responsibilities, requiring strong communication skills and the ability to work with diverse teams and making it ideal for engineers who excel in both technical implementation and stakeholder management.
Responsibilities will include<ul><li>
Assisting with the Execution of Qualcomm&rsquo;s Go-To-Market strategy across MEA region.</li><li>
Supporting the Sales team through deep technical engagement with reseller &amp; customer implementers and assisting with device evaluations, pilots and proof-of-concepts</li><li>
Assisting with the technical sales enablement commercial channel sales teams.</li><li>
Act as a technical interface between Qualcomm and customers to capture, articulate, and translate product requirements for various mobile and compute SKUs into actionable engineering specifications.</li><li>
Provide necessary technical deep dive and practical training to customers as needed.</li><li>
Support the introduction of solutions for customers, including Industrial IoT, Cloud AI, and Windows, from a technical perspective.</li><li>
Accelerate IOT business with Distributors, drive and achieve KPIs on YoY revenue growth, pipeline registration, and design win rate, ensuring satisfaction and fostering long-term relationships.</li><li>
Act as a technical interface between Qualcomm and customers to capture, articulate, and translate product requirements for various solutions into actionable engineering specifications.</li><li>
Collaborate with OEMs/ODMs, ISVs, and ecosystem partners to ensure successful integration of Qualcomm's IoT-focused platforms across hardware, firmware, and software layers.</li><li>
Drive end-to-end product development, from early architecture definition and bring-up to final system validation and commercial launch.</li><li>
Lead the progress of building and deploying AI use cases for edge devices, and develop software components that enable AI-based applications, analyze system behaviour, and ensure robust integration in real-world environments.</li><li>
Work with pre-defined AI models and build AI related use-cases around the models. Develop logic and components to enable use cases related to computer vision, LLM, sensors etc.</li><li>
Collaborate with internal teams for cross-component integration and customers&rsquo; issues/features/designs.</li><li>
Help external stakeholders including direct customers, design houses, ecosystem partners to easily port their applications on Qualcomm SoC-based systems and utilize various compute capabilities and software feature sets on the Qualcomm SoC.</li><li>
Develop and maintain embedded software in Go and C for edge devices.</li><li>
Perform low-level debugging, optimization, and code refinement for performance-critical tasks.</li><li>
Implement tools and utilities to support validation, functional and performance tests of existing software.</li><li>
Architect and maintain system-level integrations between edge devices, backend services, and external systems in cloud or on-prem environments.</li><li>
Manage large-scale system deployments, configurations, and runtime operations.</li><li>
Collaborate with cross-functional teams to identify system bottlenecks, conduct performance tuning, and improve end-to-end reliability.</li><li>
Design and implement observability solutions, including logging, metrics, tracing, and real-time alerting, to ensure system visibility and uptime.</li><li>
Troubleshoot complex issues involving device firmware, networking, storage, and backend services.</li><li>
Drive system validation, stress testing, fault tolerance testing, and infrastructure optimization.</li><li>
Represent Qualcomm in technical discussions and reviews with partners, demonstrating deep technical understanding and effective communication.</li><li>
Lead product demos, technical workshops, and training sessions to showcase compute technologies and best practices.</li><li>
Coordinate with Qualcomm global teams (engineering, product management, and customer engineering) to align roadmap priorities and technical support plans.</li><li>
Collect and share customer feedback to help shape product roadmaps and drive continuous improvement.</li><li>
Create and maintain technical documentation, application notes, and reference designs.</li><li>
Stay up to date with the latest trends in high-performance computing, AI/ML, and edge/cloud architectures.</li><li>
Recommend AI enhancements to improve existing products..</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in electrical engineering, Computer Engineering, or related field.</li><li>
5+ years of experience in development and testing of applications / use-cases leveraging machine learning models including computer vision, large language models and others.</li><li>
Strong analytical skills and proficiency in Programming Language such as C, C++, Java, Python, etc.</li><li>
Experience in building LLM/RAG systems (Langchain, LangGraph, LangSmith &ndash; preferred, Agents, etc.)</li><li>
Solid understanding of RAG systems and approaches, NLP, data science process, statistical modeling, machine learning, deep learning</li><li>
Experience in using Docker and Kubernetes to create reproducible and scalable environments.</li><li>
Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).</li><li>
Strong problem-solving skills and the ability to analyze and resolve cross-layer system issues.</li><li>
Experience in software development for Linux based systems.</li><li>
Quick ramp-up skills for working on new technologies and systems.</li><li>
Familiarity with source code repositories (git/perforce/scm etc.) usage, defect tracking tools, and software engineering processes.</li><li>
Proven ability to work directly with OEMs/ODMs and ISVs to deliver complex, multi-component systems.</li><li>
Excellent skills in system debugging, performance profiling tools, benchmarking methodologies and cross-functional coordination.</li><li>
Strong communication skills with a customer-first mindset; able to translate complex technical details into business-oriented discussions and customer-facing insights</li></ul>
Why Join Qualcomm
At Qualcomm, you&rsquo;ll be part of a global team that&rsquo;s defining the future of connected computing. You will engage directly with world-leading OEMs and ecosystem partners to shape the next generation of AI-ready laptops and mobile devices &mdash; enabling users to experience the full power of Snapdragon technology.
What's on Offer
Apart from working with great people, we offer the below:<ul><li>
Salary including housing &amp; transport allowance</li><li>
Stock (RSU's) and performance related bonus</li><li>
16 weeks fully paid Maternity Leave</li><li>
6 weeks fully paid Paternity Leave</li><li>
Employee stock purchase scheme</li><li>
Child Education Allowance</li><li>
Relocation and immigration support (if needed)</li><li>
Life and Medical Insurance</li><li>
Live+ Well Reimbursement for health and recreational membership fees</li></ul>
Minimum Qualifications:<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
</li></ul>OR 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. 
OR 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 
 
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.</li></ul><ul><li>References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.</li></ul><div>
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).</div>
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.</div>

IoT Software Engineer (Staff level) - Riyadh, KSA

Visa

<div>Company Description 
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 
Job Description 
The Data Science &ndash; Manager (Sr. Data Scientist) will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa&rsquo;s Bangalore office.
The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.<ul><li>
Manage and deliver analytics projects from conception to completion with actionable insights and recommendations.</li><li>
Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques.</li><li>
Drive portfolio strategies with the use of client data and/or other sources of data e.g. Visa data, third party etc.</li><li>
Act as analytics advocate within our partners, advising teams and sharing best practices and case studies.</li><li>
Continually look at the environment to challenge various assumptions around new sources of data, tools, talent, and infrastructure.</li><li>
Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients.</li><li>
Translate analytical findings into clear, actionable business insights.</li><li>
Own project outcomes by proactively identifying and mitigating risks, managing dependencies, and communicating status and timelines to meet delivery expectations.</li><li>
Work closely with cross-functional teams (consultants, data science, data engineers) to ensure successful project delivery.</li><li>
Contribute to the development of internal frameworks, templates, and accelerators for data science consulting.</li></ul>
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. 
Qualifications<div> 
We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric. 
<ul><li>7+ years&rsquo; experience plus a bachelor&rsquo;s degree in computer science, information science, mathematics, or similar/related streams. Graduate master&rsquo;s degree is a plus.</li><li>Hands-on in delivering end-to-end data science projects, developing machine learning solutions, and scaling up data solutions. Demonstrated expertise in the core machine learning workflow, including data handling (cleaning, wrangling, feature engineering) and modeling with algorithms like Regression, Decision Trees, and XGBoost.</li><li>Experience in card payments and/or retail banking domain.</li><li>Hands-on experience across the data analytics lifecycle: programming and querying (Python, SQL, Pyspark), big data platforms (Hadoop, Hive), and business intelligence/visualization (Tableau).</li><li>Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.</li><li>Proven ability to translate complex data into compelling narratives and impactful presentations using advanced Excel and PowerPoint.</li><li>Familiar/Skilled in identifying and implementing GenAI solutions is desirable.</li><li>Self-motivated, results oriented individual with ability to handle multiple projects concurrently.</li></ul></div> 
Additional Information 
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Data Science Manager

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Manager
Job Description &amp; Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Role Overview
We are seeking a highly skilled and experienced Data Scientist to join our team at a leading professional services firm. The ideal candidate will have a strong background in data science, analytics, and machine learning, with at least 4 years of relevant experience. This role involves working closely with cross-functional teams to derive actionable insights from complex data sets and support strategic decision-making about how we attract, develop, and retain top talent, improve decision-making about our people, and deliver business-driven, actionable insights.
Key Responsibilities
<ul><li>Design, develop, and implement advanced data models and algorithms to solve business problems.
</li><li>Analyze large and complex data sets to identify trends, patterns, and insights.
</li><li>Collaborate with stakeholders to understand business requirements and translate them into business questions and data solutions.
</li><li>Develop and maintain dashboards, reports, and visualizations to communicate findings effectively.
</li><li>Apply machine learning and AI techniques to enhance data-driven decision-making.
</li><li>Ensure data governance, quality, and compliance with internal and external standards.
</li><li>Stay current with industry trends and emerging technologies in data science and analytics.
</li></ul>Required Qualifications and Experience
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
</li><li>Minimum of 4 years of professional experience in data science or analytics roles.
</li><li>Technical proficiency in complex statistical analysis using tools such as R or Python.
</li><li>Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
</li><li>Knowledge of generative AI models and their applications.
</li><li>Experience using APIs, SQL and other technical methods to extract and combine data from various sources.
</li><li>Strong skills in data visualization tools such as Power BI.
</li><li>Excellent analytical, problem-solving, and communication skills, both written and verbal (in English).
</li><li>Flexibility to work across time zones and support global clients.
</li></ul>Preferred Qualifications
<ul><li>Advanced degree (MSc or PhD) in a quantitative field.
</li><li>Experience in extracting and working with large and complex people data sets, preferably Workday HCM.
</li><li>Experience working in a professional services or consulting environment.
</li><li>Experience in managing analytics projects in a complex, matrixed environment.
</li><li>Familiarity with cloud platforms such as AWS, Azure, or GCP.
</li></ul>Soft Skills
<ul><li>Strong interpersonal and stakeholder management skills.
</li><li>Ability to work independently and collaboratively in a team environment, providing coaching, feedback and supervision.
</li><li>Excellent time management and organizational skills.
</li><li>Eagerness to innovate and learn new technologies, failing fast and learning from mistakes.
</li><li>High attention to detail.
</li><li>Adaptability and resilience in a fast-paced environment
</li></ul>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 23 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date</div>

ETIC, Data Science - Manager

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Manager
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
 
 
 
 
 Role Overview
 
 
 
 We are seeking a highly skilled and experienced Data Scientist to join our team at a leading professional services firm. The ideal candidate will have a strong background in data science, analytics, and machine learning, with at least 4 years of relevant experience. This role involves working closely with cross-functional teams to derive actionable insights from complex data sets and support strategic decision-making about how we attract, develop, and retain top talent, improve decision-making about our people, and deliver business-driven, actionable insights.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and implement advanced data models and algorithms to solve business problems.
 </li>
 <li>
 Analyze large and complex data sets to identify trends, patterns, and insights.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirements and translate them into business questions and data solutions.
 </li>
 <li>
 Develop and maintain dashboards, reports, and visualizations to communicate findings effectively.
 </li>
 <li>
 Apply machine learning and AI techniques to enhance data-driven decision-making.
 </li>
 <li>
 Ensure data governance, quality, and compliance with internal and external standards.
 </li>
 <li>
 Stay current with industry trends and emerging technologies in data science and analytics.
 
 
 </li>
 </ul>
 
 Required Qualifications and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Minimum of 4 years of professional experience in data science or analytics roles.
 </li>
 <li>
 Technical proficiency in complex statistical analysis using tools such as R or Python.
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Knowledge of generative AI models and their applications.
 </li>
 <li>
 Experience using APIs, SQL and other technical methods to extract and combine data from various sources.
 </li>
 <li>
 Strong skills in data visualization tools such as Power BI.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills, both written and verbal (in English).
 </li>
 <li>
 Flexibility to work across time zones and support global clients.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Advanced degree (MSc or PhD) in a quantitative field.
 </li>
 <li>
 Experience in extracting and working with large and complex people data sets, preferably Workday HCM.
 </li>
 <li>
 Experience working in a professional services or consulting environment.
 </li>
 <li>
 Experience in managing analytics projects in a complex, matrixed environment.
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong interpersonal and stakeholder management skills.
 </li>
 <li>
 Ability to work independently and collaboratively in a team environment, providing coaching, feedback and supervision.
 </li>
 <li>
 Excellent time management and organizational skills.
 </li>
 <li>
 Eagerness to innovate and learn new technologies, failing fast and learning from mistakes.
 </li>
 <li>
 High attention to detail.
 </li>
 <li>
 Adaptability and resilience in a fast-paced environment
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 23 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 
 
 Government Clearance Required?
 
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

Cognizant Technology Solutions

<div></div><div>Job Summary
The Manager-Data Science will play a crucial role in driving data-driven decision-making processes within the organization. With a focus on leveraging machine learning and artificial intelligence the candidate will lead data science projects that enhance business operations. The role requires a strong foundation in Python and offers an opportunity to work in a hybrid model ensuring a balance between work and personal life. 
Responsibilities<ul><li>
Lead data science initiatives to support strategic decision-making and operational efficiency.</li><li>
Oversee the development and implementation of machine learning models to solve complex business problems.</li><li>
Collaborate with cross-functional teams to integrate AI solutions into existing systems.</li><li>
Provide insights and recommendations based on data analysis to improve business processes.</li><li>
Ensure the accuracy and reliability of data-driven models and algorithms.</li><li>
Develop and maintain scalable data pipelines and infrastructure.</li><li>
Monitor and evaluate the performance of data science projects to ensure alignment with business goals.</li><li>
Mentor and guide junior data scientists in best practices and advanced techniques.</li><li>
Stay updated with the latest trends and advancements in data science and AI.</li><li>
Foster a culture of innovation and continuous improvement within the team.</li><li>
Communicate findings and insights to stakeholders in a clear and concise manner.</li><li>
Utilize Python for data manipulation analysis and visualization tasks.</li><li>
Collaborate with investment banking teams to tailor data solutions to industry-specific needs.</li></ul> 
Qualifications<ul><li>
Possess a strong background in machine learning and artificial intelligence with practical experience.</li><li>
Demonstrate proficiency in Python programming for data science applications.</li><li>
Have experience in investment banking operations and brokerage as a nice-to-have skill.</li><li>
Exhibit excellent problem-solving skills and the ability to work in a fast-paced environment.</li><li>
Show strong communication skills to effectively convey technical concepts to non-technical stakeholders.</li><li>
Display leadership qualities to guide and mentor team members.</li><li>
Be adaptable to hybrid work models and manage time efficiently.</li></ul></div>

Manager-Data Science

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10000 data science and iot manager jobs NEAR_ME

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ETIC, Data Science - Manager

Manager-Data Science