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etic data science senior associate

PwC Middle East

<div>
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 At PwC, our people in project portfolio management focus on optimising project portfolios to drive strategic business outcomes. These individuals oversee project selection, prioritisation, and resource allocation to facilitate successful project delivery.
 
 
 In project management at PwC, you will oversee and coordinate various projects to facilitate successful delivery within budget and timeline. You will leverage strong organisational and communication skills to effectively manage teams and stakeholders.
 
 
 
 About PwC ETIC - Egypt Technology And Innovation Centre
 
 
 
 PwC opened a new Technology &amp; Innovation Center in Cairo that delivers high quality technology solutions to consulting Clients across the globe. The Centre provides a broad suite of skills and services to our clients, ranging from Packaged Applications such as SAP &amp; Oracle, to Cybersecurity, Data Analytics, Custom Development and Cloud services utilising AWS, Azure and Google, as well as expanding our existing Managed Services capabilities.
 
 
 The centre is looking to expand rapidly and we are looking for enthusiastic self-starters with a passion for technology and client delivery to help shape and form this new venture
 
 
 
 A Brief Summary Of The Role
 
 
 
 The Senior Associate Service Designer is responsible for crafting and enhancing the user experience across our services. This role involves working collaboratively with various teams to understand user requirements and design solutions that align with business objectives. The ideal candidate will combine strategic thinking, creativity, and technical expertise to deliver impactful service solutions
 
 
 
 Key Responsibilities/ Activities
 
 
 
 Details on the core tasks and activities that the person will perform
 
 
 <ul>
 <li>
 Service Design and Development:
 
 
 </li>
 </ul>
 Lead the design and development of service solutions from concept to implementation.
 
 
 Utilize design thinking methodologies to facilitate workshops and co-design sessions with stakeholders and users.
 
 
 <ul>
 <li>
 Research and Analysis:
 
 
 </li>
 </ul>
 Conduct qualitative and quantitative research to understand user needs, behaviors, and pain points.
 
 
 Analyze research findings to develop insights and identify opportunities for service improvement.
 
 
 <ul>
 <li>
 Prototyping and Testing:
 
 
 </li>
 </ul>
 Create prototypes and service blueprints to visualize and test service concepts.
 
 
 Conduct usability tests and gather feedback to iterate and refine service designs.
 
 
 <ul>
 <li>
 Collaboration and Communication:
 
 
 </li>
 </ul>
 Work closely with product managers, UX designers, developers, and other stakeholders to ensure alignment and integration of service design.
 
 
 Communicate service design concepts and recommendations effectively to diverse audiences, including senior leadership.
 
 
 <ul>
 <li>
 Continuous Improvement:
 
 
 </li>
 </ul>
 Monitor service performance and user feedback to identify areas for ongoing improvement.
 
 
 Stay updated on industry trends and best practices to incorporate innovative approaches into service design.
 
 
 
 Key Skills Required
 
 
 
 Specific technical or soft skills the person needs to be effective
 
 
 
 Design Thinking
 
 A human-centered approach to innovation and problem-solving that emphasizes understanding the needs and experiences of users.Must HaveIntermediateAbility to apply design thinking principles to projects with some guidance.
 
 
 Ability to support the facilitatation of workshops and guide teams through the design thinking process, including empathy, define, ideate, prototype, and test phases.
 
 
 Ability to identify user needs and pain points and recommended actionable insights.
 
 
 Familiarity with design thinking tools and methods, such as user journey mapping and empathy mapping, and ability to use them effectively in projects.
 
 
 
 Ideation
 
 The ability to generate a wide range of ideas and potential solutions. Ideation encourages creativity and free-thinking, often through brainstorming sessions and collaborative workshops.Must HaveIntermediateAbility to generate a wide range of ideas and solutions independently and in a team setting and can lead brainstorming sessions and encourage participation with support.
 
 
 Proficient in using ideation tools and techniques such as mind mapping, sketching, and collaborative digital tools.
 
 
 
 Testing
 
 The skill of evaluating prototypes and solutions through user feedback and observation. Testing is crucial for understanding how users interact with a design and identifying areas for improvement.Must HaveIntermediateAbility to design and conduct usability tests and gather user feedback. Can analyze results to identify strengths and weaknesses in a design.
 
 
 Understands how to iterate on designs based on test results and user feedback, making informed decisions for improvements.
 
 
 Ability to work effectively with cross-functional teams to integrate testing results into design processes.
 
 
 
 Collaboration and Communication
 
 Ability to effectively communicate and collaborate with stakeholders at various levels of seniorityMust HaveIntermediateAbility to communicate design concepts and ideas clearly to diverse audiences, including non-designers and stakeholders.
 
 
 Ability to work collaboratively in team environments and is able to mediate and resolve conflicts with support.
 
 
 Ability to effectively engage with stakeholders to gather feedback and align design goals with business objectives.
 
 
 
 Prototyping
 
 Creating tangible representations of ideas to explore their feasibility and gather feedback. Prototyping allows designers to test concepts in real-world scenarios and refine them based on user interaMust HaveIntermediateProficient in using prototyping tools (e.g., Sketch, Figma, Adobe XD) to create mid-fidelity prototypes.
 
 
 Ability to design prototypes that are sufficiently detailed to test specific assumptions and gather user feedback.
 
 
 Ability to incorporate feedback into prototypes to refine and improve design solutions iteratively.
 
 
 
 Qualifications Required
 
 
 
 Foundational Service Design training or certification is a plus
 
 
 Excellent English language proficiency
 
 
 
 Product Management Experience With The Above Mentioned Skillset
 
 
 
 
 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, Agile Methodology, Analytical Thinking, Business Process Improvement, Communication, Costing, Creativity, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, IT Project Lifecycle, Learning Agility, Optimism, Process Mapping, Process Standardization, Program Management, Project Budgeting, Project Coordination, Project Delivery, Project Documentation, Project Governance {+ 19 more}
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 Not Specified
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 No
 
 
 
 Government Clearance Required?
 
 
 
 No
 
 
 
 Job Posting End Date
 
</div>

ETIC, Service Designer - Senior Associate

Abdul Latif Jameel

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a highly analytical and people-focused
 
 Associate Engagement Senior Specialist
 
 to support and enhance engagement across Abdul Latif Jameel. This role is responsible for designing and managing employee surveys, developing dashboards, generating insights, and supporting engagement initiatives across all affiliates.
 
 
 You will play a key role in elevating the associate experience through data, insights, and impactful engagement actions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Survey Management, Data Analysis &amp; Insights
 
 
 <ul>
 <li>
 Design, develop, and launch employee engagement and experience surveys across all ALJ affiliates.
 </li>
 <li>
 Manage survey communication and ensure clarity and reach across the organization.
 </li>
 <li>
 Develop dashboards, reports, and analytics to present key findings and insights.
 </li>
 <li>
 Serve as the subject-matter expert on survey tools (e.g., Qualtrics) and BI analytical platforms.
 </li>
 <li>
 Translate data into actionable insights for leadership and HR stakeholders.
 </li>
 </ul>
 
 
 Engagement Actions &amp; Special Projects
 
 
 <ul>
 <li>
 Coordinate entity-level engagement action plans with HR SPOCs and business leaders.
 </li>
 <li>
 Support execution of employee experience initiatives aligned with the Associate Experience strategy.
 </li>
 <li>
 Prepare forms, reports, tracking tools, and monitoring sheets to ensure smooth implementation of programs.
 </li>
 <li>
 Work on special projects assigned by the General Manager &ndash; Associate Engagement.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in HR, Organizational Psychology, Data Analytics, or related field.
 </li>
 <li>
 3&ndash;5 years total experience, including 3&ndash;4 years in surveys &amp; employee engagement.
 </li>
 <li>
 Strong analytical, presentation, and communication skills.
 </li>
 <li>
 Experience with Qualtrics is a Must.
 </li>
 <li>
 This is a
 
 remote role
 
 , open to candidates residing in
 
 Egypt or India
 
 .
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong knowledge of survey design and survey management tools.
 </li>
 <li>
 Excellent analytical skills with experience using BI/data visualization tools.
 </li>
 <li>
 Strong presentation and storytelling skills using data.
 </li>
 <li>
 Exceptional communication and interpersonal skills.
 </li>
 <li>
 Attention to detail and high-quality execution skills.
 </li>
 <li>
 Ability to coordinate multiple stakeholders and projects simultaneously.
 </li>
 <li>
 Problem-solving mindset and ability to recommend data-based solutions.
 </li>
 </ul>
 
 
</div>

Associate Engagement Senior Specialist

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
 
 
 Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.
 
 
 
 Role Summary
 
 
 
 As a
 
 React Native Developer - Senior Associate
 
 , you will design and develop high-quality mobile applications for iOS and Android platforms using React Native. You will work closely with product managers, designers, and backend engineers to deliver seamless user experiences and scalable solutions.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Develop and maintain
 
 cross-platform mobile applications
 
 using
 
 React Native
 
 .
 </li>
 <li>
 Integrate APIs and ensure smooth communication between mobile and backend services.
 </li>
 <li>
 Optimize application performance, responsiveness, and reliability.
 </li>
 <li>
 Collaborate with
 
 UI/UX designers
 
 to implement intuitive interfaces.
 </li>
 <li>
 Write clean, maintainable code and conduct
 
 code reviews
 
 for best practices.
 </li>
 <li>
 Troubleshoot and resolve technical issues across platforms.
 </li>
 <li>
 Mentor junior developers and contribute to team knowledge sharing.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 Strong proficiency in
 
 React Native
 
 ,
 
 JavaScript/TypeScript
 
 , and
 
 ES6+
 
 .
 </li>
 <li>
 Experience with
 
 Redux
 
 ,
 
 React Navigation
 
 , and
 
 mobile app architecture
 
 .
 </li>
 <li>
 Familiarity with
 
 native modules
 
 (Android/iOS) and third-party libraries.
 </li>
 <li>
 Knowledge of
 
 RESTful APIs
 
 ,
 
 GraphQL
 
 , and
 
 integration with backend services
 
 .
 </li>
 <li>
 Understanding of
 
 mobile performance optimization
 
 and
 
 debugging tools
 
 .
 </li>
 <li>
 Minimum
 
 3&ndash;5 years of experience
 
 in mobile development, with at least
 
 2 years in React Native
 
 .
 
 
 </li>
 </ul>
 
 Preferred / Bonus Skills
 
 <ul>
 <li>
 Experience with
 
 CI/CD pipelines
 
 for mobile apps.
 </li>
 <li>
 Familiarity with
 
 App Store/Play Store deployment
 
 and compliance guidelines.
 </li>
 <li>
 Knowledge of
 
 unit testing frameworks
 
 (e.g., Jest, Detox).
 </li>
 <li>
 Exposure to
 
 Agile methodologies
 
 and
 
 team leadership
 
 .
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 47 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 React Native Mobile Developer - Senior Associate

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a BI Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
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 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
</div>

BI Analyst (Supply Analytics, Bangkok-based, Relocation provided)

RSA Security

<div>
 
 
 RSA - Senior Data Scientist
 
 
 
 
 RSA provides trusted identity and access management for 12,000 organizations around the world, managing 25 million enterprise identities and providing secure, convenient access to millions of users. RSA specializes in empowering security-first organizations in financial services, healthcare, energy, technology services, and other industries to thrive in a digital world, delivering complete capabilities for modern authentication, access, lifecycle management, and identity governance. Whether in the cloud or on-premises, RSA connects people with the digital resources they depend on everywhere they live, work, and play.
 
 
 For decades, RSA has pioneered many of the encryption, authentication, and identity federation technologies that still power the internet. And now RSA is transforming the industry yet again, paving the way for the future of digital identity through the RSA Unified Identity Platform; next-generation hybrid and cloud solutions; the first ever and only multi-functional, passwordless hardware authenticator; and a frictionless, mobile-optimized experience for the modern workforce. If you are self-motivated and looking for a fast-paced challenge doing something that truly matters, come join our winning team! For more information, go to rsa.com.
 
 
 We are seeking a strategic and technically adept Senior Data Scientist with 5+ years of experience to lead data-driven initiatives across the organization. This role demands a deep understanding of advanced analytics, machine learning, and data architecture, with the ability to mentor junior team members and influence business strategy through data insights.
 
 
 
 You Will Be Responsible For
 
 
 
 <ul>
 <li>
 Leading the design and deployment of scalable data science solutions.
 </li>
 <li>
 Driving innovation in predictive modeling and machine learning.
 </li>
 <li>
 Collaborating cross-functionally to align data initiatives with business goals.
 </li>
 <li>
 Mentoring and guiding junior data scientists and engineers.
 
 
 </li>
 </ul>
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 Architect and implement advanced machine learning models and predictive analytics pipelines.
 </li>
 <li>
 Lead end-to-end data science projects: from business problem framing to deployment and monitoring.
 </li>
 <li>
 Evaluate and integrate new data sources and technologies to enhance model performance.
 </li>
 <li>
 Translate complex data insights into actionable business strategies.
 </li>
 <li>
 Oversee data quality, governance, and compliance across projects.
 </li>
 <li>
 Mentor junior team members and foster a culture of continuous learning and experimentation.
 </li>
 <li>
 Present findings to stakeholders through compelling storytelling and visualization.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 5+ years of experience in data science, machine learning, or AI.
 </li>
 <li>
 Proficiency in Python or R, and strong SQL skills.
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop).
 </li>
 <li>
 Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
 </li>
 <li>
 Strong background in data modeling, data warehousing (Snowflake, Redshift, BigQuery), and pipeline architecture.
 </li>
 <li>
 Excellent communication skills with the ability to influence non-technical stakeholders.
 </li>
 <li>
 Proven track record of leading successful data science projects and mentoring teams.
 
 
 </li>
 </ul>
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Experience with real-time data processing and streaming analytics.
 </li>
 <li>
 Familiarity with MLOps and model deployment best practices.
 </li>
 <li>
 Publications or contributions to open-source data science projects.
 </li>
 <li>
 Certifications in cloud or data science technologies.
 
 
 </li>
 </ul>
 RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, and any other category protected by applicable country law.
 
 
 If you need a reasonable accommodation during the application process, please contact the RSA Talent Acquisition Team at
 
 
 rsa.global.talent.acquisition@rsa.com
 
 
 . RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.
</div>

RSA- Senior Data Scientist

SysTechCorp Inc

<div>
 
 
 What You&rsquo;ll Do
 
 
 
 &bull; What the role is about: As a Principal/Staff Data Scientist , you will serve
 
 
 as a senior individual contributor responsible for defining analytical approaches,
 
 
 scoping complex data science projects, and delivering high-impact solutions across
 
 
 multiple industries. You will tackle highly complex and ambiguous problems,
 
 
 architect end-to-end data science workflows, and provide deep technical guidance
 
 
 to cross-functional teams&mdash;without direct people management responsibilities.
 
 
 &bull; What impact this role has: Your expertise will shape the technical direction of data
 
 
 science initiatives, influence solution design across teams, and help internal and
 
 
 external stakeholders make well-informed decisions. By leveraging advanced
 
 
 modeling, statistical rigor, and deep domain insight, you will ensure th
 
 
 delivers scalable, high-quality analytical solutions that drive measurable business
 
 
 value for our clients.
 
 
 &bull; What success might look like: Success in this role means independently leading
 
 
 the most challenging parts of data science engagements, producing reliable and
 
 
 scalable solutions, and serving as a trusted technical advisor to product managers,
 
 
 engineers, and business stakeholders. You will be recognized for your ability to
 
 
 translate complex business problems into well-scoped analytical strategies, and for
 
 
 consistently raising the technical bar across the team.
 
 
 
 Who You&rsquo;ll Work With
 
 
 
 &bull; An outline of the team: You will be part of a collaborative and dynamic data science
 
 
 team that works closely with data engineers, project managers, solution architects,
 
 
 and business stakeholders. You will contribute as a high-level technical expert,
 
 
 helping teams navigate complexity and ensuring that analytical solutions are sound,
 
 
 scalable, and aligned with business needs.
 
 
 &bull; The role and the team play : The data science team plays a
 
 
 crucial role in transforming data into strategic assets. As a Principal/Staff Data
 
 
 Scientist, you will influence the technical direction of projects, contribute reusable
 
 
 methodologies, and help shape best practices for developing advanced analytical
 
 
 solutions across multiple engagements.
 
 
 &bull; Who the position reports to: This position reports to the Data Science Team
 
 
 Manager.
 
 
 
 What Makes You a Qualified Candidate / Non-negotiable qualification:
 
 
 
 
 
 
 &bull; Minimum of 8 years of experience in data science, machine learning, or applied
 
 
 analytics.
 
 
 &bull; Expertise in programming languages such as Python and SQL.
 
 
 &bull; Strong understanding of advanced statistical methods, machine learning, deep
 
 
 learning, and GenAI techniques.
 
 
 &bull; Proven ability to scope, architect, and technically lead complex data science
 
 
 projects without direct management responsibilities.
 
 
 &bull; Excellent communication and presentation skills, with the ability to engage both
 
 
 technical and non-technical audiences.
 
 
 
 What You&rsquo;ll Bring
 
 
 
 &bull; Advanced Data Analysis and Modeling: Perform highly complex data analysis and
 
 
 build sophisticated predictive and prescriptive models using advanced statistical,
 
 
 machine learning, and deep learning techniques.
 
 
 &bull; Technical Leadership: Define analytical approaches, scope data science
 
 
 components in partnership with PMs, and lead the technical direction of projects
 
 
 across multiple industries.
 
 
 &bull; Cross-Functional Collaboration: Work closely with data engineers, product
 
 
 managers, and business stakeholders to align on requirements, solution direction,
 
 
 and implementation plans.
 
 
 &bull; Data Exploration: Explore large and diverse datasets to uncover insights, evaluate
 
 
 feasibility, and guide model and feature design.
 
 
 &bull; Model Deployment: Collaborate with engineering teams to implement, optimize,
 
 
 and maintain machine learning models in production environments, ensuring
 
 
 scalability, performance, and reliability.
 
 
 &bull; Mentorship: Provide informal technical mentoring, conduct deep code/model
 
 
 reviews, and guide other data scientists in best practices&mdash;without direct people
 
 
 management.
 
 
 &bull; Communication: Present complex findings, trade-offs, and solution paths to
 
 
 technical teams, business partners, and customer stakeholders in a clear and
 
 
 concise manner.
 
 
 &bull; Continuous Improvement: Stay current with emerging data science, machine
 
 
 learning, and GenAI advancements, applying new techniques to enhance solution
 
 
 quality and accelerate delivery.
 
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Data Scientist

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