--- title: 'Data Science Architect at 66degrees' canonical: 'https://feeny.ai/job/data-science-architect-66degrees-india-rt725e3tf5n5' type: 'job' last_seen: '2026-09-12' --- # Data Science Architect at 66degrees - **Company:** 66degrees - **Location:** India - **Posted:** 2026-08-26 - **Last confirmed live:** 2026-09-12 - **Apply:** https://job-boards.greenhouse.io/66degrees/jobs/6163441004 ## Job description ## Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. ## Overview of Role As the ideal ML Architect, you are someone who can do a deep technical dive and communicate effectively with others. You love wrangling messy data into an elegant solution, and helping others understand the power of their data. This role is a chance to have a huge impact on how businesses operate and make decisions on a daily basis. ## Responsibilities - Dive deep into a wide range of data (tabular, text, image, etc.) to identify pain-points and deliver data-driven insights to our clients. - Utilize analytical techniques to determine areas of opportunities to help meet business goals. - Leverage GCP services to train and deploy off-the-shelf (Vertex AI/AutoML/BQML) or custom models to address a client’s business problem. - Be a thought leader for your team on projects and contribute to key practice initiatives. - Act as subject matter expert on pre-sales calls and requests for proposals. - Drive successful delivery of analytics solutions. - Create reports and presentations that showcase the value of your solution to our clients. - Work with other members of the data science team to establish a center of excellence and create standard operating procedures, accelerators, and sales assets. - Lead the design of technical solutions to meet the business needs of customers and clients. This includes working with stakeholders to understand their requirements, developing high-level and detailed solution designs, and ensuring that the solutions are technically feasible and cost-effective. - Provide technical leadership to customer and client engagements, including working with the sales team to develop and deliver technical presentations and proposals, and working with the delivery team to implement and support the technical solutions. - Mentor and train junior team members and help them to develop their technical skills and knowledge. This includes providing feedback, coaching, and guidance. ## Qualifications - 8+ years of experience with data science and 3+ years of relevant architectural experience. - Python programming, R is a plus. - SQL Experience. - GenAI experience in one or all of Prompt Engineering, RAG, Fine-tuning is a must to have, Agentic AI is a plus to have. - Knowledge of Data Warehouses (Snowflake, BigQuery, Redshift, Synapse). - Experience with version control systems, such as Git/Github. - Big Data processing framework experience (eg Spark/Pyspark, Dask, Hive). - Experience developing Machine Learning models and using Deep Learning frameworks like Tensorflow, Keras, PyTorch. - Ability to communicate complex, technical processes to non-technical business stakeholders. - Experience developing and maintaining solution design standards and best practices. - Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets. - Bachelor’s degree in Data Science, Computer Science or similar. - Experience with Google Cloud Platform is a plus. - A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required. Please note, we cannot sponsor or transfer any visas, of any kind, at this time. 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class. AI Transparency & Disclosure As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights. These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team. ## About 66degrees ## Company Overview - **One-liner**: 66degrees is an enterprise AI transformation and Google Cloud partner that helps organizations build intelligent, agentic systems by modernizing data, applications, and infrastructure. - **Entity Type**: Private (acquired by The Marketing Junction in February 2026) - **Headquarters**: Chicago, Illinois, United States - **Founded**: 2009 - **Founders**: Not publicly available (the company was formed through the merger of Cloudbakers and Qwinix) ## Core Business - **Primary industries**: Enterprise AI/ML services, Google Cloud consulting and implementation, data analytics, application modernization - **Target customers**: Large enterprises across retail, healthcare & life sciences, financial services, travel & hospitality, supply chain, manufacturing, and energy/utilities (B2B, Enterprise) - **Mission or purpose statement**: “To guide enterprises through the age of AI and shape the future of work” – helping clients turn complexity into clarity by building the Agentic Enterprise. ## Products & Services - **Agentic AI**: Design and deploy custom AI agents that orchestrate complex business workflows, automate customer touchpoints, and improve employee productivity. - **Data & Analytics**: Data strategy, governance, predictive analytics, and AI-ready platform modernization (leveraging BigQuery, Vertex AI, etc.). - **Application Modernization**: Develop cloud-native apps on Google Cloud integrated with AI/ML services for agility and scalability. - **Customer Engagement Suite**: AI-driven customer experiences using Google Cloud’s contact center tools (e.g., Gemini) to enhance satisfaction and reduce costs. - **Gemini Enterprise**: Enterprise adoption of Google’s Gemini models for productivity and innovation. - **Infrastructure**: Migration and modernization of legacy infrastructure to a unified, AI-ready cloud platform. - **Managed Services & MLOps/LLMOps**: Ongoing performance monitoring, cost management, and governance for AI models in production. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total Funding – Not publicly available (no public funding rounds; growth has been organic and through acquisitions) - **Notable Investors/Partners**: - **Google Cloud** – Diamond Partner, multi-year Partner of the Year for AI and North American expansion - **The Marketing Junction** – acquirer (February 2026) - **Growth Signals**: - Opened a Chicago Global Headquarters and Client Innovation Center in 2025 - Added offices in Pune, India (3rd global office) and expanded Bengaluru Indian HQ - 2025 Google Cloud Partner of the Year for Artificial Intelligence - Claims 90% automation of customer touchpoints for a travel & hospitality leader and $10M annual savings for a Fortune 250 client - Grew AI/ML practice significantly year-over-year in 2024 ## Competitive Advantages - **Deep Google Cloud Specialization**: Only a handful of firms hold Diamond Partner status across AI, Data & Analytics, and Infrastructure competencies. - **Proven Client ROI**: Demonstrates quantifiable results (e.g., $10M savings, 70% automation, 4x improvements in call center quality). - **Agentic AI Lifecycle Management**: End-to-end capabilities from strategy to deployment to ongoing governance (MLOps/LLMOps). - **Combined Expertise**: Convergence of top-tier firms (Cloudbakers, Qwinix, Pandera Systems) creating a dedicated, cohesive practice focused solely on Google Cloud and AI. ## Strategic Focus - **Agentic Enterprise**: Helping clients move beyond AI pilots to production-ready agentic systems that transform business workflows. - **Data Modernization**: Building unified, AI-ready data platforms from fragmented legacy systems. - **Global Scale**: Expanding delivery footprint across North America, India, and Europe to serve enterprise clients. - **Continuous AI Governance**: Ensuring AI investments are predictable, secure, and cost-efficient through managed services. ## Why Work Here - **Cutting-Edge Technology**: Work with Google Cloud’s latest AI/ML tools (Vertex AI, Gemini, BigQuery) before they become mainstream. - **Impact at Scale**: Deliver measurable outcomes for global brands – e.g., saving millions in costs or automating majority of customer interactions. - **Growth and Learning**: Multi-year Partner of the Year recognition indicates strong career development opportunities and access to elite training. - **Culture**: Described as a “convergence of world-class engineers, architects, and strategists” with shared purpose and passion. - **Work Model**: Offices in Chicago (HQ), Bengaluru, and Pune; remote/hybrid policy not explicitly stated – likely flexible given global team structure. - **Benefits**: Focus on driving quantifiable impact, innovation, and working on “the most ambitious and complex challenges.” ## Sources 1. [66degrees.com](https://www.66degrees.com/) 2. [About Us – 66degrees](https://www.66degrees.com/about-us) 3. [Careers – 66degrees](https://www.66degrees.com/careers) 4. [CBInsights – 66degrees](https://www.cbinsights.com/company/66degrees) 5. 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