senior software engineer analytics

SplashBI

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Splash Business Intelligence</b></h3><p>
Data Reporting &amp; Analytics Software</p>
<div><div>http://www.splashbi.com</div>
<div>04067979934</div>
<div>http://careersindia@splashbi.com</div>
</div></div></div><div><p>Job Description</p>
<p>
We are looking for an experienced AI/ML engineer to design and develop machine learning models for an innovative AI-powered consumer application that reviews contracts and assists with taxes. You will work closely with domain experts and software engineers to deliver accurate and user-friendly AI solutions.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop and optimise machine learning models.</li>
<li>Collaborate with domain experts to integrate product-specific knowledge into AI models.</li>
<li>Implement natural language processing (NLP) techniques for document review and extraction.</li>
<li>Ensure scalability, accuracy, and performance of the AI models.</li>
<li>Stay updated on AI advancements and integrate relevant technologies.</li>
</ul>
<p><b>Required Skills:</b></p>
<ul>
<li>Proficiency in Python, Pandas, TensorFlow, PyTorch, and Generative AI.</li>
<li>Experience building AI agents using standard frameworks like Langchain, LangGraph, Pydantic AI, N8N, or Crew AI is required.</li>
<li>Strong background in natural language processing (NLP/NLU)</li>
<li>Experience with large language models (LLMs), prompt engineering, and fine-tuning techniques.</li>
<li>Familiarity with data preprocessing and annotation for unstructured data.</li>
<li>Ability to deploy models in a cloud-based environment (GCP, AWS). Proficiency in Vertex AI is preferred.</li></ul></div></div><p></p>
<br><div></div><ul><div><div><div><h6 class="jobSectionHeader"><b>Career Level</b></h6>
<div><ul><div>Senior</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Experience</b></h6>
<div><ul><div>5-6 Years</div><div>6-7 Years</div><div>8-9 Years</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Qualification</b></h6>
<div><ul><div>Master Degree</div></ul></div></div></div></div></ul>

Senior AI/ML Engineer

Stellar Solutions

<div><p><b>Job Title: Senior Analytics Support Engineer</b></p>
<p><b>Location: : India </b>(Hybrid in Bangalore (2 days onsite)</p>
<p><b>Experience: 6+ Years</b></p>
<p>Analytics Support Engineer</p>
<p>We are seeking a highly skilled and detail-driven Analytics Support Engineer to join our dynamic data team. This role is ideal for a professional with deep expertise in digital analytics platforms-particularly Google Analytics 4 (GA4), Google Tag Manager (GTM), Looker, and Tableau-and strong technical proficiency in Python, SQL, and AWS-based infrastructure.</p>
<p>As an Analytics Support Engineer, you will be instrumental in designing and maintaining robust analytics implementations, scalable data pipelines, and insightful reporting frameworks. Your work will directly influence strategic decision-making by ensuring the delivery of accurate, timely, and actionable data across the organization.</p>
<p>Core Responsibilities</p>
<ul><li>Design, implement, and maintain web tracking solutions using GA4 and GTM.</li>
<li>Develop and optimize interactive dashboards and data visualizations in Looker and Tableau.</li>
<li>Write performant SQL queries for data extraction, transformation, and validation.</li>
<li>Collaborate with engineering, product, and marketing teams to resolve data discrepancies and uphold data integrity.</li>
<li>Build and maintain Python scripts for automation, analysis, and reporting workflows.</li>
<li>Support and enhance ETL processes and data pipelines within AWS environments (e.g., S3, Lambda, Redshift).</li>
<li>Monitor tag deployments, conversion tracking, and analytics configurations to ensure seamless data flow.</li>
<li>Create documentation, deliver training, and provide ongoing support for analytics tools and reporting platforms.</li>
</ul><p>Required Qualifications</p>
<ul><li>Bachelor//'s degree in Computer Science, Data Analytics, or a related field.</li>
<li>Minimum 5 years of experience in analytics engineering, data operations, or technical support roles.</li>
<li>Hands-on experience with GA4 and GTM in production environments.</li>
<li>Advanced proficiency in Looker and/or Tableau for building scalable dashboards.</li>
<li>Strong command of Python and SQL for data manipulation and automation.</li>
<li>Proven experience working with AWS services such as S3, EC2, Lambda, and Redshift.</li>
<li>Solid understanding of data governance, tracking architecture, and web analytics best practices.</li>
<li>Exceptional analytical and problem-solving skills.</li>
<li>Strong communication and stakeholder engagement capabilities.</li>
</ul><p>Preferred Skills</p>
<ul><li>Familiarity with cloud data warehouses such as BigQuery or Redshift.</li>
<li>Experience integrating marketing and product analytics platforms.</li>
<li>Working knowledge of APIs and data ingestion frameworks.</li></ul></div>

Senior Analytics Support Engineer

Warner Bros. Discovery

<div><p><b><i>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.</i></b></p><p></p><p><b>
Who We Are&hellip;
</b></p><p>When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the <i>storytellers</i> bringing our characters to life, the<i> creators</i> bringing them to your living rooms and the <i>dreamers</i> creating what&rsquo;s next&hellip;</p><p></p><p>
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.</p><p></p><p>
Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.</p><p></p><p><br>
Who We Are&hellip;</p><p><br>
</p><p>When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what&rsquo;s next&hellip;</p><p></p><p><br>
From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.</p><p></p><p><b><br>
Senior Analytics Engineer - Location.</b></p><p></p><p><i><br>
About Warner Bros. Discovery:</i></p><p></p><p><br>
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media&rsquo;s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.</p><p></p><p><br>
For more information, please visit www.wbd.com.</p><p></p><p><i><br>
Meet our team:</i></p><p></p><p><br>
The Data &amp; Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.</p><p></p><p><i><br>
Roles &amp; Responsibilities:</i></p><p><br>
</p><p>We are seeking a highly motivated Senior Analytics Engineer to design and scale a robust analytics platform that delivers impactful insights across key domains, such as Subscription, Growth, Identity, Retention, Content, and Product Analytics. As a Staff Analytics Engineer, you will lead efforts to transform raw data into meaningful and actionable insights by building and maintaining a reliable and scalable analytics data infrastructure.</p><p></p><p><br>
Your work will directly support analysts, data scientists, and business stakeholders by ensuring data pipelines, models, and metrics are efficient, accurate, and accessible. This role is critical to driving a data-driven culture and enabling teams to make informed decisions.</p><p></p><ul><li><br>
 Architect and manage data pipelines using Databricks notebooks and Apache Spark, focusing on performance and efficiency.</li><li> Troubleshoot and optimize Spark applications for handling large, complex datasets.</li><li> Develop robust data transformations, data integrations, and automation scripts in SQL and Python.</li><li> Implement best practices for code modularity, testing, and deployment within the analytics ecosystem.</li><li> Work closely with Data Engineers, Analysts, and other stakeholders to understand data needs and deliver effective solutions.</li><li> Provide clear documentation and training to ensure best practices are followed across the organization.</li><li> Partner with cross-functional teams to understand evolving data needs and propose innovative solutions.</li><li> Contribute to a culture of continuous improvement by evaluating and implementing emerging technologies and approaches.</li></ul><p></p><p><br>
What to Bring:</p><p></p><ul><li><br>
 Bachelor&rsquo;s degree in computer science, business analytics or similar discipline.</li><li> 5-7+ years of experience in analytics engineering, data engineering, or a related field.</li><li> Proficiency in SQL, Spark and ETL/ELT tools (e.g., dbt, Airflow)</li><li> Strong Python (or similar) scripting skills for automation and data manipulation.</li><li> Hands-on experience with Databricks and Apache Spark, including Spark tuning and cluster management.</li><li> Strong analytical and problem-solving abilities to address complex data challenges.</li><li> Excellent communication skills to work with both technical and non-technical stakeholders.</li></ul><p></p><p><i><br>
How We Get Things Done&hellip;</i></p><p></p><p><br>
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.</p><p></p><p><i><br>
Championing Inclusion at WBD</i></p><p></p><p><br>
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.</p><p>
If you&rsquo;re a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadmin</p><p></p><p><b>
How We Get Things Done&hellip;</b></p><p></p><p>
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.</p><p></p><p><b>
Championing Inclusion at WBD</b></p>
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.<p></p><p>
If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.</p></div><p></p>

Senior Analytics Engineer

Nintendo

<div><p><b>Nintendo Technology Development<br>
</b></p><div></div><div>The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch &trade; system and the Nintendo 3DS &trade; family of portable systems. Since 1983, when it launched the Nintendo Entertainment System &trade; , Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy &trade; , Game Boy Advance, Nintendo DS &trade; family of systems, Super NES &trade; , Nintendo 64 &trade; , Nintendo GameCube &trade; , Wii &trade; and Wii U &trade; systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pok&eacute;mon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies.<br>
</div><div></div><br>
<p><b>Software Engineer Intern Position &ndash; Summer 2026
</b></p><p>We&rsquo;re looking or a highly motivated and self-starting Software Engineer Intern to join the Nintendo Technology Development&rsquo;s (NTD) team for the Summer of 2026.<br>
</p><p></p><p><b>The Opportunity
</b></p><p>This is an excellent opportunity for a candidate with passion for excellence and a desire to grow in a fast-paced, engineering focused environment. Potential tasks may include exploring how to integrate deep learning models into software, particularly in the areas of computer vision and/or large language models.</p></div>
<br><div><p><b>What we&rsquo;re looking for&hellip;
</b></p><p>The ideal candidate is:
</p><ul><li>Rising junior, senior, or post-graduate pursuing a BS or MS in Data Science, Computer Science or Engineering-related field
</li><li>Experience with C++
</li><li>An interest in the integration of deep learning with software
</li><li>Familiarity with the software development lifecycle (SDLC)
</li><li>Knowledge of Python is a plus
</li><li>Self-motivated critical thinker
</li>Good written and communication skills<br>
<li>
</li></ul><div></div><div><br>
This position is onsite in Redmond, WA, and not open to remote status at this time.
 </div><div><div><b>Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role.<br>
</b></div><div></div><p>This contract position has a base pay rate of $40 per hour and is eligible for benefits through the employing agency. Agency benefits include eligibility for medical insurance, employee assistance program, and paid sick leave. All benefits are subject to elections, eligibility requirements, plan and program terms. Benefits offerings will be confirmed at the time of offer by the employing agency, and may differ depending on the employing agency partner.<br>
</p></div><div></div><div>#LI-Onsite</div></div><div></div>

Intern - Software Engineer, Analytics (NTD)

Amadeus

<div><div><div><div><div><div><div><div><p><b>Job Title</b></p></div></div></div></div></div></div></div>
Junior Frontend Support Engineer (Analytics)<p><b>
Amadeus </b>is the leading technology provider to the travel industry and is present in 190+ countries around the world. Our innovative solutions power every part of a traveler&rsquo;s journey, from airlines to search engines, travel agencies to hotels, the world's top travel brands rely on Amadeus to help create exceptional traveler experiences.<br>
<br>
Istanbul is one of our strategic engineering hub locations, hosting business units from across the Amadeus ecosystem and working with multinational teams from around the world to shape and create the future of travel.</p><p></p><p>
As a <b>Junior </b><b>Frontend Support Engineer</b> at Amadeus, you will be responsible for the implementation, management, and optimization of digital analytics solutions across internal systems. You will collaborate with various internal teams, such as marketing, product development, and engineering, to ensure the successful setup and operation of analytics tools, primarily focusing on <b>Google Analytics 4.</b> You will also implement third-party tags as requested by internal stakeholders, ensuring that all tagging adheres to the company&rsquo;s data collection standards.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><b>Collaboration:</b></li></ul><p>
o Work closely with internal teams (marketing, product development, engineering) to address pixel/tag implementation requests efficiently using internal tools like the Keystone Javascript library.</p><p>
o Support the overall web analytics strategy by helping to structure measurement frameworks, define KPIs, and deliver insightful analysis for decision-making.</p><p>
o Translate business needs into technical requirements, providing inputs on testing strategies, configuration, and deployment.</p><p>
o Implement third-party tags (e.g., marketing, social media, affiliates) as requested by internal teams, ensuring that these implementations align with the company&rsquo;s data collection and analytics standards.</p><p>
o Apply and maintain tagging standards by developing and optimizing interactions with tools such as Google Analytics 4 and Google Tag Manager.</p><p>
o Evaluate and recommend the latest data tracking technologies to support business initiatives and maintain leadership in analytics best practices.</p><p></p><ul><li><b>Operations:</b></li></ul><p>
o Identify and troubleshoot data quality issues, working to resolve them and enhance the overall resilience of the analytics infrastructure.</p><p>
o Ensure proper data collection and tracking setups across web and mobile platforms, ensuring high data quality for all stakeholders.</p><p></p><ul><li><b>Innovation:</b></li></ul><p>
o Explore new analytics platforms (e.g., Adobe Analytics, Matomo, Contentsquare, Hotjar, MS Clarity) and propose ways to integrate them into the company&rsquo;s analytics ecosystem to improve product offerings.</p><p>
o Design and build automated reporting dashboards using tools like Google Looker Studio or other data visualization platforms, enabling stakeholders to access actionable insights.</p><p>
o Propose and execute multivariate testing plans, setting up experiments within optimization platforms to improve product performance.</p><p></p><p><b>
Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or a related field, or equivalent practical experience.</p></li><li><p>
Experience in software development or digital analytics, with a focus on web development, analytics design, and implementation.</p></li><li><p>
Hands-on experience with Google Analytics 4; familiarity with Adobe Analytics is a plus.</p></li><li><p>
Experience working with Google Tag Manager; knowledge of other tag management systems such as Adobe Launch or Tealium is beneficial.</p></li><li><p>
Proficiency in HTML, JavaScript, and modern frontend libraries or frameworks; experience with TypeScript, Node.js, or Angular is a plus.</p></li><li><p>
Familiarity with version control systems such as Git (Global Information Tracker) and Agile methodologies like Scrum or Kanban.</p></li><li><p>
Ability to use browser debugging tools (e.g., console, network, storage, cookies) and understanding of traffic acquisition methods (e.g., UTM parameters) and cookie consent mechanisms.</p></li><li><p>
Demonstrated ability to troubleshoot and resolve analytics tracking issues.</p></li><li><p>
Clear communication skills for collaborating with cross-functional teams on technical topics.</p></li><li><p>
Experience with multivariate testing and experimentation to support product optimization.</p></li><li><p>
Experience building and maintaining dashboards using visualization tools such as Google Looker Studio or Qlik.</p></li></ul><p></p><p><b>
What can we offer you?</b></p><p>
 A critical mission and purpose - At Amadeus, you'll power the future of travel with a critical mission and extraordinary purpose.</p><p>
 A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.</p><p>
 Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, from on-the-job training to formal activities, and daily interactions.</p><p>
 A caring environment &ndash; Amadeus fosters a caring environment that supports both professional growth and personal well-being.</p><p>
 A complete rewards offer - Amadeus provides attractive compensation packages, including salary, bonus, caregiving and health benefits and health benefits.</p><p>
 A flexible working model - Embrace our flexible working model, enabling you to excel wherever and however you work best.</p><p>
 A diverse, equitable, and inclusive community &ndash; We are committed to enabling each employee to reach their full potential by fostering a culture of belonging and fair treatment.</p><p>
 A Reliable Company - Trust and reliability are fundamental to shaping our relationships with customers, partners, and employees.</p><p></p><p><b>
Diversity &amp; Inclusion</b></p><p></p><div><p>
Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.</p></div><p></p><div><p>
Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.</p></div></div><p></p>

Junior Frontend Support Engineer (Analytics)

SmartBear

<div><p>At SmartBear, we deliver the complete visibility developers need to make each release better than the last. Our award winning and industry favorite tools<b> </b>TestComplete, Swagger, Cucumber, ReadyAPI, Zephyr<b> </b>are trusted by over 16 million developers, testers, and software engineers at 32,000+ organizations &ndash; including world-renowned innovators like Adobe, JetBlue, FedEx, and Microsoft.</p>
<p><b>
Senior Software Engineer</b></p>
<ul>
<li>Go from 0 to 1 on a new Agentic AI product offering that builds atop the core foundation of SmartBear's domains: API Design and Management, Testing and Observability.</li>
<li>Lead a team of full-stack engineers building back-end services and unique front-end interfaces while remaining committed to a first-class end-user product experience.</li>
<li>Be a leading contributor every day by writing, reviewing and maintaining production code and consistently course-correct to stay aligned to an innovative product strategy.</li>
</ul>
<p><b>Technologies</b></p>
<ul>
<li>Front-end: TS/JS + HTML/CSS</li>
<li>Back-end: REST + TS + Bun + PostgreSQL + S3</li>
<li>Infra: Containers + AWS + GitHub</li>
</ul>
<p><b>Product intro</b></p>
<p>
SmartBear is leading the charge to productionize the use of Generative AI throughout the software development lifecycle in ways that go far beyond the chatbots proliferating in UIs everywhere. Beginning with AI integrations into existing products like Reflect and SwaggerHub, SmartBear has shown its commitment to using AI to fundamentally drive workflows that users previously did themselves. This approach delivers greater value for customers and increases SmartBear's growth velocity.</p>
<p><b>
About the role</b></p>
<p>
As a <b>Senior Software Engineer</b> you will work closely with the VP of AI to define and design our new Agentic AI product, and you will be a leading contributor to the implementation of the system. The platform enables the configuration and execution of AI-native agents that operate on behalf of SmartBear's 32,000 customers in the areas of API design and management, end-to-end testing and runtime observability. The team is 4+ engineers today and growing, and you will be a primary technical contributor leading by example.</p>
<p>
In this role, you are expected to:</p>
<ul>
<li>Build and maintain back-end services to expose Generative AI capabilities to public-facing software products</li>
<li>Rapidly validate the feasibility of new use cases from research ideas</li>
<li>Understand the end-user product experience in a holistic way and use this knowledge to inform system design trade-offs</li>
<li>Perform code reviews across the front-to-back-end stack and ensure a standard of high engineering quality throughout the small, but growing, engineering team</li>
<li>Deliver working code on-time and own the experience post-production</li>
<li>Measure success and iterate on technical designs to improve the overall product experience</li>
</ul>
<p><b>We are looking for you if you have:</b></p>
<ul>
<li>4+ years in software development in a production environment</li>
<li>Built or worked on a customer-facing product that used LLMs</li>
<li>Strong understanding of HTTP, REST and the client/server architecture</li>
<li>Demonstrated ability of completing software projects, individually and as part of a team</li>
<li>Demonstrated ability of taking ambiguous or ill-defined requirements and problem statements, and rapidly converting them into working code, with quality</li>
<li>Outstanding <i>proactive</i> communication skills in English</li>
</ul>
<p>We value intelligence, humility and hard work &ndash; after all, we're solving complex technical problems!</p>
<p><b>
Why you should join the </b><b>SmartBear</b><b> crew</b><b>:</b></p>
<ul>
<li>This role is uniquely high-priority; your contributions will be viewed by the CEO and CTO every week.</li>
<li>We invest in your success as well as the spaces where our teams come together to work, collaborate, and have fun.</li>
<li>We are guided by a People and Culture organization - an important distinction for us. We think about our team holistically &ndash; the whole person. We love celebrating our SmartBears.</li>
<li>We appreciate our differences in experiences, viewpoints, and identities because we know it leads to better outcomes.</li>
</ul>
<p><b>Did you know</b><b>?</b></p>
<ul>
<li>Our main goal at SmartBear is to make our technology-driven world a better place.</li>
<li>SmartBear is committed to ethical corporate practices and social responsibility, promoting good in all the communities we serve.</li>
<li>SmartBear is headquartered in Somerville, MA with offices across the world including Galway Ireland, Bath, UK, Wroclaw, Poland and Bangalore, India.</li>
<li>We've won major industry (product and company) awards including B2B Innovators Award, Content Marketing Association, IntellyX Digital Innovator and BuiltIn Best Places to Work.</li>
</ul>
<p><i>SmartBear is committed to creating an inclusive workplace for employees where all individuals are treated with respect and dignity. We are an equal opportunity employer and make employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex, national origin, age, gender, disability, veteran status, sexual orientation, or any other protected status under applicable laws. We are dedicated to fostering a workplace that reflects a diversity of thought and experience as well as our values of being smart, open, driven, accountable, and curious.</i></p><br>
<p></p>
<p>
#LI-AS1</p>
<p>
#hybrid</p></div>

Senior Software Engineer – AI Services

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 <br/>
 <br/>
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 <br/>
 <br/>
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 <br/>
 <br/>
 Senior Manager &ndash; Analytics
 <br/>
 <br/>
 Location: eBay India Analytics Center (Bangalore)
 <br/>
 <br/>
 Function: Global Analytics Team &ndash; Focus Categories (Fashion, Collectibles, Vehicles Parts &amp; Accessories, Live Commerce)
 <br/>
 <br/>
 eBay&rsquo;s India Analytics Center is a core part of the global analytics organization, with 75+ highly skilled business analysts, data scientists, and ML engineers supporting key functions across finance, category management, seller support, shipping and logistics, and monetization. We are now seeking a Senior Manager &ndash; Analytics to lead analytics and data science initiatives for our Focus Categories, which represent eBay&rsquo;s most strategic bets.
 <br/>
 <br/>
 This leadership role is ideal for a seasoned analytics professional with deep technical expertise, strong business acumen, and proven experience in building and leading high-performing teams in a consumer internet environment.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Leadership &amp; Team Management
  </li>
  <li>
   Lead, mentor, and develop a team of 20+ business analysts and data scientists, fostering a culture of innovation, collaboration, and problem-solving.
  </li>
  <li>
   Drive adoption of best practices in analytics, experimentation, and machine learning deployment.
  </li>
  <li>
   Analytics &amp; Data Science Delivery
  </li>
  <li>
   Design and deliver interactive dashboards, AI-driven data products, and predictive ML models to enable business-critical decision-making.
  </li>
  <li>
   Lead initiatives to predict customer behavior, including purchase patterns, CRM campaign responses, and churn/upsell/cross-sell potential.
  </li>
  <li>
   Oversee product analytics efforts, including experiment design, A/B testing, and statistical validation, to optimize customer experiences and business outcomes.
  </li>
  <li>
   Business Partnership &amp; Stakeholder Management
  </li>
  <li>
   Act as the primary analytics partner to senior business leaders in Focus Categories (Fashion, Collectibles, Vehicle Parts &amp; Accessories, Live Commerce).
  </li>
  <li>
   Translate complex data insights into actionable recommendations, influencing strategic decisions across category management and customer engagement.
  </li>
  <li>
   Represent the India Analytics Center to global stakeholders, building trust and credibility through impactful delivery.
  </li>
  <li>
   Innovation &amp; Thought Leadership
  </li>
  <li>
   Champion the application of advanced ML modeling techniques to business challenges.
  </li>
  <li>
   Identify opportunities to leverage emerging technologies and tools in AI/ML for competitive advantage.
  </li>
  <li>
   Drive continuous improvement in analytics methodologies, data quality, and automation.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience
  </li>
  <li>
   12&ndash;15 years of progressive experience in data analytics and data science, with at least 5+ years in leadership roles.
  </li>
  <li>
   Proven track record of applying analytics in a consumer internet / e-commerce environment highly preferred.
  </li>
  <li>
   Strong people management experience, with demonstrated ability to lead and scale teams of 15+ professionals.
  </li>
  <li>
   Technical Expertise
  </li>
  <li>
   Hands-on background as an analyst/data scientist, with deep proficiency in SQL, R, Python, and standard ML libraries.
  </li>
  <li>
   Exposure to advanced ML techniques (predictive modeling, classification, clustering, recommendation engines, NLP).
  </li>
  <li>
   Expertise in product analytics: experimentation frameworks, A/B testing platforms, and causal inference techniques.
  </li>
  <li>
   Strong understanding of data visualization, BI tools, and dashboard design.
  </li>
  <li>
   Educational Background
  </li>
  <li>
   Degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Economics, or related field. Advanced degree (Master&rsquo;s/PhD) is a plus.
  </li>
  <li>
   Leadership &amp; Soft Skills
  </li>
  <li>
   Excellent stakeholder management skills, with the ability to communicate complex analyses to non-technical audiences and influence at senior levels.
  </li>
  <li>
   Strong problem-solving mindset with a bias for action and an entrepreneurial spirit.
  </li>
  <li>
   Passion for leveraging AI and data science to solve high-impact business problems.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
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 <br/>
 <br/>
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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