<p>Zinrelo provides an end-to-end solution for your loyalty program requirements.</p><p><br></p>

Zinrelo

Data Scientist

QA Engineer

Zinrelo seeks an experienced Data Scientist to maximize data value for clients.  Responsibilities include analyzing program data, identifying key metrics, creating data-driven narratives for business reviews, developing reports and presentations, participating in client meetings, assisting in data strategy development, and contributing to dashboard creation. The role involves working with various internal teams and requires strong analytical, communication, and presentation skills.  A deep understanding of loyalty programs and relevant metrics (CLV, ROI, CAC, RFM) is crucial.  The position is partly client-facing and requires collaboration with cross-functional stakeholders.

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                  <span><strong>About Zinrelo<span><br></span><span><br></span></strong></span>Zinrelo is a fast-growing SaaS product company headquartered in San Antonio, Texas, with additional offices in Pune, India, and Sydney, Australia. Zinrelo offers a leading loyalty rewards platform that helps Colgate Palmolive, Jelly Belly, Western Digital, BIC and many other global brands to launch holistic loyalty programs. Zinrelo combines technology with deep data analytics and ongoing strategy consultation to unlock multiple dimensions of loyalty, including transactional, social, advocacy, engagement, behavioral, and emotional. Zinrelo’s loyalty platform is used by thousands of customers in 50+ countries.<span><br></span><span><br></span><span><strong>About The Role<span><br></span><span><br></span></strong></span>Zinrelo remains focused on building out its capabilities in strategic consulting, to help support its broad range of clients across key industry verticals such as Retail, CPG, B2B, and Automotive. Data science and analytics are a key component of this initiative. We are seeking an experienced and passionate Data Scientist who can help Zinrelo maximize the value of data for its clients. You will be expected to develop a fundamental understanding of how loyalty programs work and the value they bring. The role will be partly client facing. The successful applicant will also work with a wide variety of Zinrelo teams, including Loyalty Strategy, Customer Success, Product, Marketing, and Sales.<span><br></span><span><br></span><span><strong>Responsibilities<span><br></span><span><br></span></strong></span><span>      <ul><span><li>Regularly review and analyze program data and insights for a wide range of clients, and help them make data-driven decisions.</li></span><span><li>Keep your finger on the pulse of all program health metrics and be able to identify new metrics that may need to be built out to support new clients, programs, or use cases.</li></span><span><li>Work with internal Zinrelo teams to prepare, shape and create compelling and data-driven narratives for quarterly business reviews.</li></span><span><li>Develop reports, presentations, and storytelling to enhance both the client and internal understanding of program performance.</li></span><span><li>Participate in client-facing meetings to communicate value derived from data analysis.</li></span><span><li>Assist in developing or evolving data strategies for managed client programs.</li></span><span><li>Assist in the conceptualization and development of relevant dashboards and reporting for self-service clients.</li></span><span><li>Understand key business drivers and drive program evolution opportunities based on data insights.</li></span><span><li>Assist with the design and execution of strategies to measure and track metrics across segments, channels, and touchpoints, gathering qualitative and quantitative data on loyalty member experiences.<span><br></span><span><br></span></li></span></ul>
</span><span><strong>What You Will Bring To The Role<span><br></span><span><br></span></strong></span>The customer is at the heart of everything you do<span><br></span><span><br></span>You are deeply committed to delivering an exceptional client experience, helping your colleagues to achieve the highest standards. You are a passionate champion of our clients’ needs, demonstrating continuous value through data driven insights.<span><br></span><span><br></span>You have an analytical and curious mindset<span><br></span><span><br></span>You have a passion for analysis and a strong understanding of measurable concepts such as Customer Lifetime Value (CLV), Return on Investment (ROI), Customer Acquisition Cost (CAC) and Recency, Frequency, Monetary (RFM). Your expertise in turning data into engaging visualizations and storytelling to share with stakeholders will be key to enhancing our client-centric culture.<span><br></span><span><br></span>You are an engaging communicator with a knack for influencing<span><br></span><span><br></span>Your collaborative approach and ability to build trust, educate and influence others allows you to bring people together and drive new initiatives.<span><br></span><span><br></span>You strive for continuous improvement<span><br></span><span><br></span>You are always looking for better ways of doing things that balance productivity and outcomes. Data, process and strategy play a big role in your decision making, while your demonstrated project management skills allow you to deliver change and improvements successfully.<span><br></span><span><br></span><span><strong>Qualifications<span><br></span><span><br></span></strong></span><span>      <ul><span><li>Bachelor's or Master's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.</li></span><span><li>3+ years of demonstrated experience in data science or analytics, with at least some of it in the digital marketing domain.</li></span><span><li>Ability to derive insightful and actionable insights from data and present them impactfully.</li></span><span><li>Ability to apply critical thinking and a structured approach to problem solving.</li></span><span><li>Advanced data manipulation, extraction, and processing skills such as pivot tables, lookups, transposing, statistical analysis, and macros using spreadsheets (e.g., MS Excel, Google Sheets).</li></span><span><li>Proficiency in SQL and NoSQL databases with the ability to run complex queries across multiple data sources, and a keen eye for data quality.</li></span><span><li>Experience of generating dashboards and reports using data visualization tools such as PowerBI, R, or Tableau.</li></span><span><li>Excellent English communication (verbal and written) skills, including effective presentation and narrative skills.</li></span><span><li>Excellent interpersonal skills and ability to work with cross-functional stakeholders.</li></span><span><li>Fundamental understanding of data analysis and metrics relating to loyalty programs would be a big plus.</li></span></ul>
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<div data-automation-id="jobPostingDescription" class="css-4r17ng"><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>If you're passionate about autonomous vehicles, we would love to hear from you! The Autonomous Vehicles Program Management team is searching for a creative and experienced Technical Program Manager to lead the end-to-end development of new autonomous driving features for NVIDIA's autonomous vehicle platform. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our Automotive Vehicles Program Team, you will be a key leader responsible for the software development execution of our autonomous driving software stack. NVIDIA gives automakers, Tier 1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Today, we are working with over 270 partners that are using our platform in the development of autonomous cars, trucks, shuttles and taxis.</p><p><br><b>What you'll be doing:</b></p><ul><li><p>Leading automotive software development across multiple engineering teams related to<span>&nbsp;</span>ADAS/Autonomy features.</p></li><li><p>Working with the engineering leads to define product and roadmaps, develop schedules, and drive the execution and tracking of these across the organization.</p></li><li><p>Coordinating release content and efforts with multiple program managers and engineering managers who own individual components.</p></li><li><p>Identifying and handling risks, and resolving issues that affect release scope, schedule and quality.</p></li><li><p>Establishing metrics to assess and improve product quality and execution.</p></li><li><p>Regularly communicating the program status and key issues to management and multi-functional teams within the organization.</p></li></ul><p></p><p><b>What we need to see:</b></p><ul><li><p>BS/MS Computer Science, Electrical Engineering or related field (or equivalent experience)</p></li><li><p>8+ years of recent Program/Product Management experience, including driving the planning and execution of complex software engineering projects, and releasing commercial products.</p></li><li><p>Proven experience in Automotive, Perception, Path Planning and/or AI.</p></li><li><p>Strong leadership and interpersonal skills. Demonstrated ability to collaborate on global projects across teams and time zones.</p></li><li><p>Experience with Jira and/or JAMA, to the point that you can comfortably guide an engineering team how to use these tools.</p></li></ul><p></p><p><b>Ways to stand out from the crowd:</b></p><ul><li><p>Proven experience leading end-to-end development of<span>&nbsp;</span>ADAS or self-driving<span>&nbsp;</span>features</p></li><li><p>Experience as software engineer, software QA or systems engineer.</p></li><li><p>Experience in a fast-paced Automotive OEM or supplier.</p></li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p style="text-align:inherit"></p><p style="text-align:inherit"></p>The base salary range is 160,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.<div><div><div><div><div><div><div><p><span>You will also be eligible for equity and <a rel="noopener noreferrer" target="_blank" href="https://www.nvidia.com/en-us/benefits/">benefits</a>. </span><span><i><span>NVIDIA accepts applications on an ongoing basis.</span><span> </span></i></span></p><p></p></div></div></div></div></div></div></div>NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.<p style="text-align:inherit"></p><p style="text-align:inherit"></p></div>

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