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<ul>  <li style="">Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks</li>  <li style="">Design and build ETL pipelines using ADF</li>  <li style="">Build and maintain a Lakehouse architecture in ADLS / Databricks.</li>  <li style="">Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc.</li>  <li style="">Work with DevOps team to deploy solutions in production environments.</li>  <li style="">Control data processes and take corrective action when errors are identified. Corrective action may include executing a work around process and then identifying the cause and solution for data errors.</li>  <li style="">Participate as a full member of the global Analytics team, providing solutions for and insights into data related items.</li>  <li style="">Collaborate with your Data Science and Business Intelligence colleagues across the world to share key learnings, leverage ideas and solutions and to propagate best practices.</li>  <li style="">You will lead projects that include other team members and participate in projects led by other team members.</li>  <li style="">Apply change management tools including training, communication and documentation to manage upgrades, changes and data migrations.</li></ul><div style=""><br></div>

Bengaluru

Data Engineer (Databricks)

<div style=""><b style="font-weight: 700">Job Responsibilities:</b></div><div style="">Substantial hands-on experience with data handling.</div><div style="">Capable of managing large volumes of data, extract, clean and comprehend</div><div style="">Experience with advanced statistics and Machine Learning algorithms like: Linear Regression, Logistic Regression, Tree-Based Models</div><div style="">Experience with model deployment</div><div style="">Experience with recommendation models, such as content-based filtering, collaborative filtering, and hybrid models.</div><div style="">Knowledge of visualization tools such as POWER BI, Tableau is a plus.</div><div style="">Hands on knowledge of end to end model development with code modularization.</div><div style="">Hands on knowledge of SQL/PostgreSQL/Snowflake/DBT with understanding of CTEs, Joins, Window Functions, Aggregation</div><div style="">Industry knowledge of Retail/E-commerce/Marketing is a plus.</div><div style="">Developing comprehensible analytical solutions to solve business problems using domain knowledge or statistical procedures depending on the requirements of the project</div><div style="">Comfortable in representing the proceedings and/or findings in a power-point</div><div style="">Comfortable in mentoring junior resources, and creating an environment of learning in the team</div><div style="">Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies</div><div style="">Develop and define an area of expertise and take relevant trainings on the same for the organization</div><div style="">The candidate should be able to work under tight timelines with minimal supervision</div>

Consultant - Data Scientist

<div style=""><b style="font-weight: 700">Role Summary:</b></div><div style="">The ideal candidate will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tolls which will influence both our products and clients. Should be able to deliver results according to project schedules while maintaining quality standards.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Job Responsibilities:</b></div><ul>  <li style="">Substantial hands-on experience with data handling.</li>  <li style="">Capable of managing large volumes of data, extract, clean and comprehend</li>  <li style="">Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and associates on a daily or periodic basis, contingent on the requirements of the project</li>  <li style="">Comfortable with statistical procedures, such as basic distributions, regressions, logistic models</li>  <li style="">Experience with advanced statistics and Machine Learning algorithms is a plus</li>  <li style="">Developing comprehensible analytical solutions to solve business problems using domain knowledge or statistical procedures depending on the requirements of the project</li>  <li style="">Develop and define an area of expertise and take relevant trainings on the same for the organization</li>  <li style="">Understand the work methodology and be an active participant in strengthening the team</li>  <li style="">Liaising with coworkers and clients on several projects</li>  <li style="">Commitment to learning and continuous personal improvement</li>  <li style="">The candidate should be able to work under tight timelines with minimal supervision</li></ul>

Associate - Data Scientist

<div style="">Role Summary:</div><div style=""><br></div><div style="">The ideal candidate will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tolls which will influence both our products and clients. The candidate will also have to collaborate with internal team and clients, to ensure that their approach meets the need of each project. He/she should be able to deliver results according to project schedules while maintaining quality standards. The candidate will also be responsible to contribute towards organizational initiatives.</div>

Senior Associate - Data Scientist

<div style="">Role Summary:</div><div style=""><br></div><div style="">We are looking for an accountable, multitalented candidate to facilitate the operations. The computer vision consultant must be able to develop, implement and deploy ML functions across functions. The candidate should be adept at leading and conducting independent project work using the state-of-the-art deep learning technology, as well as participate in the transfer of knowledge from research to industry. The consultant will also have to collaborate with internal team and clients, to ensure that their approach meets the needs of each project. He/she should be able to deliver results according to project schedules while maintaining quality standards. The candidate will also be responsible to contribute towards organizational initiatives.</div>

<div style=""><b style="font-weight: 700">Role Objective:</b></div><div style=""><br></div><div style="">Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products</div><div style=""><br></div><div style=""><b style="font-weight: 700">Roles &amp; Responsibilities:</b></div><ul>  <li style="">Sound knowledge in Spark architecture and distributed computing and Spark streaming.</li>  <li style="">Proficient in Spark – including RDD and Data frames core functions, troubleshooting and performance tuning.</li>  <li style="">Good understanding in object-oriented concepts and hands on experience on Scala/Java/Kotlin with excellent programming logic and technique.</li>  <li style="">Good in <b style="font-weight: 700">functional programming and </b>OOPS concept on Scala/Java/Kotlin</li>  <li style="">Good experience in SQL – should be able to write complex queries.</li>  <li style="">Managing the team of Associates and Senior Associates and ensuring the utilization is maintained across the project.</li>  <li style="">Able to mentor new members for onboarding to the project.</li>  <li style="">Understand the client requirement and able to design, develop from scratch and deliver.</li>  <li style="">AWS cloud experience would be preferable.</li>  <li style="">Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on cloud (AWS preferred)</li>  <li style="">Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements.</li>  <li style="">Managing project timing, client expectations and meeting deadlines.</li>  <li style="">Should have played project and team management roles.</li>  <li style="">Facilitate meetings within the team on regular basis.</li>  <li style="">Understand business requirement and analyze different approaches and plan deliverables and milestones for the project.</li>  <li style="">Optimization, maintenance, and support of pipelines.</li>  <li style="">Strong analytical and logical skills.</li>  <li style="">Ability to comfortably tackling new challenges and learn</li></ul>

Sr. Associate/Consultant - Sr. Big Data Engineer

<div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Design, develop, and maintain interactive dashboards and reports in <b style="font-weight: 700">Power BI</b>.</li>  <li style="">Utilize <b style="font-weight: 700">Microsoft Fabric</b> (including OneLake, Lakehouse, Dataflows Gen2, and Pipelines) to build scalable data solutions.</li>  <li style="">Integrate data from multiple sources using <b style="font-weight: 700">Fabric Data Factory Pipelines</b>, Synapse Real-Time Analytics, and Power Query.</li>  <li style="">Implement and optimize <b style="font-weight: 700">data models</b>, <b style="font-weight: 700">measures (DAX)</b>, and <b style="font-weight: 700">ETL processes</b>.</li>  <li style="">Collaborate with data engineers, analysts, and stakeholders to understand data needs and deliver actionable insights.</li>  <li style="">Ensure data governance, security, and compliance using Microsoft Purview and Fabric’s built-in governance tools.</li>  <li style="">Perform performance tuning, dataset optimization, and report deployment across workspaces.</li>  <li style="">Document technical solutions and provide user training/support when necessary.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Good to Have:</b></div><ul>  <li style="">Microsoft Certified: Fabric Analytics Engineer or Power BI Data Analyst Associate.</li>  <li style="">Knowledge of <b style="font-weight: 700">Azure Data Services</b> (Data Factory, Synapse, Azure SQL).</li>  <li style="">Experience with <b style="font-weight: 700">Row-Level Security (RLS)</b> and large dataset optimization in Power BI.</li>  <li style="">Familiarity with GitHub or Azure DevOps for version control.</li>  <li style="">Exposure to <b style="font-weight: 700">real-time streaming data</b> and <b style="font-weight: 700">KQL queries</b> (Kusto).</li></ul>

Consultant - Power BI Developer (with Fabric)

<div style=""><b style="font-weight: 700">Primary Responsibilities:</b></div><div style=""><b style="font-weight: 700"><br>Leadership and Team Management</b></div><ul>  <li style="">Lead a team of analysts to manage day-to-day operational reporting requirements, ad hoc analyses, and data visualizations</li>  <li style="">Collaborate closely with the Central Marketing Analytics team to align on holistic campaign measurement, integrating paid media performance into broader evaluations of brand, social, CRM, and go-to-market effectiveness</li>  <li style="">Partner with non-paid analytics stakeholders to ensure unified reporting frameworks and shared insight generation across the full marketing funnel, bridging paid media impact with cross-channel performance narratives</li>  <li style="">Communicate effectively and strategically with stakeholders to inform decision-making and drive alignment</li></ul><div style=""><b style="font-weight: 700">Comprehensive Marketing Analytics</b></div><ul>  <li style="">Design and implement real-time tracking across paid, owned and earned channels that provides a holistic look at our touch points, their impact, and interplay</li>  <li style="">Provide regular reports and insights to the executive team on performance, in-market tests, and near-term implications to spend and channel mix</li>  <li style="">Own reporting and analysis for all media metrics including owned/earned media</li>  <li style="">Tie together disparate business, marketing, and consumer data signals to fully extract paid/owned/earned media value and their contributions to revenue and audience growth</li>  <li style="">Assess how effectively and efficiently digital channels are driving customer purchase funnel objectives and provide data-informed insights to the operations team</li></ul><div style=""><b style="font-weight: 700">Campaign Planning Support</b></div><ul>  <li style="">Partner with Strategy &amp; Activation teams to develop audience-first recommendations by understanding in-game player behaviors, monetization trends, and third-party segment performance</li>  <li style="">Determine the optimal mix and interplay of Blizzard “owned” and paid digital channels to reach our audiences most effectively and efficiently</li>  <li style="">Aid in forecasting performance for multi-channel marketing campaigns and tracking against those goals</li></ul><div style=""><b style="font-weight: 700">Measurement Innovation and Experimentation</b></div><ul>  <li style="">Create marketing mix models that help guide our go-to-market campaigns, ultimately guiding spend and channel weight / importance in all key regions</li>  <li style="">Implement A/B testing and analysis for media and CRM channels that provide stakeholders with an understanding of what is working and what could be improved in the player funnel</li>  <li style="">Drive further personalization by collaborating with data scientists to support and analyze hypothesis’ using best practices for A/B testing, attribution models and media mix optimization</li></ul>

Santa Monica

Director - Digital Marketing Analytics

<div style="">We are looking for a highly skilled <b style="font-weight: 700">API &amp; Pixel Tracking Integration Engineer</b> to lead the development and deployment of server-side tracking and attribution solutions across multiple platforms. The ideal candidate brings deep expertise in <b style="font-weight: 700">CAPI integrations</b> (Meta, Google, and other platforms), secure data handling using cryptographic techniques, and experience working within <b style="font-weight: 700">privacy-first environments like Azure Clean Rooms</b>.</div><div style=""><br></div><div style="">This role requires strong hands-on experience in <b style="font-weight: 700">C# development, Azure cloud services, OCI (Oracle Cloud Infrastructure)</b>, and marketing technology stacks including <b style="font-weight: 700">Adobe Tag Management and Pixel Management</b>. You will work closely with engineering, analytics, and marketing teams to deliver scalable, compliant, and secure data tracking solutions that drive business insights and performance.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Design, implement, and maintain <b style="font-weight: 700">CAPI integrations across Meta, Google, and all major platforms</b>, ensuring real-time and accurate server-side event tracking.</li>  <li style="">Utilize <b style="font-weight: 700">Fabric</b> and OCI environments as needed for data integration and marketing intelligence workflows.</li>  <li style="">Develop and manage <b style="font-weight: 700">custom tracking solutions</b> leveraging <b style="font-weight: 700">Azure Clean Rooms</b>, ensuring user NFAs are respected and privacy-compliant logic is implemented.</li>  <li style="">Implement <b style="font-weight: 700">cryptographic hashing (e.g., SHA-256)</b></li>  <li style="">Use <b style="font-weight: 700">Azure Data Lake Gen1 &amp; Gen2 (ADLS)</b>, <b style="font-weight: 700">Cosmos DB</b>, and <b style="font-weight: 700">Azure Functions</b> to build and host scalable backend systems.</li>  <li style="">Integrate with <b style="font-weight: 700">Azure Key Vaults</b> to securely manage secrets and sensitive credentials.</li>  <li style="">Design and execute <b style="font-weight: 700">data pipelines in Azure Data Factory (ADF)</b> for processing and transforming tracking data.</li>  <li style="">Lead <b style="font-weight: 700">pixel and tag management initiatives</b> using <b style="font-weight: 700">Adobe Tag Manager</b>, including pixel governance and QA across properties.</li>  <li style="">Collaborate with security teams to ensure all data-sharing and processing complies with <b style="font-weight: 700">Azure’s data security standards</b> and enterprise privacy frameworks.</li>  <li style="">Monitor, troubleshoot, and optimize existing integrations using logs, diagnostics, and analytics tools.</li></ul>

Sr. Associate - Data Engineer (with Fabric)

<div style=""><b style="font-weight: 700">About the Role:</b></div><div style="">We are looking for a dynamic and strategic senior leader to join us as the Vice President of Sales &amp; Customer Success in the US, reporting directly to our CEO. As the VP - Sales, you will play a pivotal role in driving strategic growth and go-to-market (GTM) strategies within the US market by acquiring new logos and mining existing client accounts. This position offers a unique opportunity to collaborate closely with the executive team and spearhead revenue growth initiatives for a company that has been a pioneer in the AI and ML landscape for the past 14 years.</div><div style=""><br></div><div style="">With Affine, you will have the opportunity to collaborate with teams making a significant impact across various domains and cutting-edge technologies in AI &amp; ML. This role, based in the US, offers unparalleled exposure to senior management and a chance to shape the company's future success.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Core Responsibilities:</b></div><ul>  <li style="">Collaborate closely with the executive leadership team to shape and execute GTM Sales strategies for both new and existing logos, ensuring sustainable and profitable growth in the US market.</li>  <li style="">Develop and nurture relationships with existing clients, driving new business mining opportunities and securing contract renewals through exceptional client engagement strategies.</li>  <li style="">Lead the entire sales process for the US Sales &amp; Customer Success function, from lead generation to client management, while consistently meeting and exceeding business KPIs.</li>  <li style="">Drive revenue growth by establishing strategic partnerships and alliances within the US market, identifying and pursuing opportunities that contribute to additional revenue streams.</li>  <li style="">Ensure GTM readiness by fostering collaboration across multiple teams, including management, delivery, revenue enablers, and support functions.</li>  <li style="">Develop and implement strategies for sales process excellence, continuously refining approaches to optimize performance.</li>  <li style="">Roll out and oversee key partner programs tailored to the US market, fostering mutually beneficial relationships.</li>  <li style="">Set ambitious targets and develop comprehensive strategies to achieve top and bottom-line growth objectives.</li>  <li style="">Contribute to business growth by frequently traveling within the US to acquire new clients, engage existing clientele and develop strategic partnerships.</li>  <li style="">Embrace a dynamic work style and harness the power of a globally diverse team, collaborating effectively across time zones to achieve shared goals.</li></ul>

San Francisco

Vice President - Sales & Customer Success (US)

<div style="">Affine is a leading global AI and analytics company that has earned the trust of major organizations across industries for transforming businesses through data-driven insights and cutting-edge Generative AI technologies.</div><div style=""><br></div><div style="">Founded in 2011, Affine has become a trusted partner for major organizations across various industries, delivering bespoke data solutions and products. Our team excels in strategic consulting, advanced analytics, data engineering and governance, MLOps, and AI-powered solutions, with a strong emphasis on Generative AI applications that foster ingenuity and pioneer advancements.</div><div style=""><br></div><div style="">We offer comprehensive data visualization and adoption advisory services, ensuring that our clients not only keep pace but lead in their respective fields. For more insights into our Generative AI capabilities and other services, please visit our website <a href="https://.affine.ai/">https://affine.ai</a>.</div><div style=""><br></div><div style="">We offer exciting career opportunities for professionals seeking to make a significant impact. As an Affine employee, you'll be part of a dynamic and inclusive work environment that values collaboration, creativity, and continuous learning. &nbsp;At Affine, we foster a culture of collaboration, you also work alongside some of the brightest minds in the industry, solve complex challenges, and make a lasting impact on the world.</div>