27 Turbotax Jobs - Page 2

Category Human Resources Location Bengaluru, India Job ID 2025-69687 Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible. Job Overview As members of the People and Places team, we are stewards of Intuit's greatest strategic asset: Our People. Our mission is to drive a high performing organization in a growth oriented global company. Our vision is to inspire the world’s top talent to innovate and make a difference. Intuit’s Talent Delivery organization is a cutting-edge staffing team that provides innovative, scalable talent delivery solutions to assess and acquire the right talent globally. We are made up of the best in our industry and we thrive in a very fast paced environment with an agile team of recruiting professionals deeply focused on identifying, assessing, hiring and mobilizing talent so that Intuit wins and our employees gain access to invigorating careers. In our dynamic and competitive environment, orchestrating a world class experience for all key stakeholders has its challenges; but, we view the candidate and hiring team’s experiences throughout the acquisition journey as our competitive advantage in the war for talent…and, that is where you come in. You love the end to end orchestration, consultation, and execution it takes to deliver great talent and exceptional experiences. Every day is exciting in this innovative, growth company and there is no doubt you will up your game when you are here, constantly challenged by the world’s best and brightest. Yet, you win with flawless consulting to key stakeholders, serving up best courses of action to all involved, while demonstrating courage to push back on sentiments that could derail ideal outcomes. All along, you demonstrate the highest standards of integrity and transparency with partners and candidates alike. You build world class teams that drive amazing outcomes in service to delighting our customers – an epic result triggered by your deep understanding of the business and the ability to find and assess critical talent. It is about great talent and you are not going to sit idly by while managers screen out great candidates for unrelated elements or permit hiring teams to build consensus instead of building stronger teams. Responsibilities Owning the full lifecycle recruitment for complex and specialized technical roles, particularly within the Tech Ecosystem. Developing and executing proactive sourcing strategies to build robust passive talent pipelines for critical skill areas, including Full Stack, Builder, and AI. Leveraging a research-oriented mindset to identify and engage top talent through various channels. Partnering closely with hiring managers to understand their specific needs and develop effective recruitment strategies for senior-level and niche roles. Contributing to the overall effectiveness of the Talent Acquisition team in Bangalore by sharing best practices and expertise. Actively participate in and support various recruiting programs, including attending networking events, conferences, and open houses to attract passive and active candidates. Track and analyze the effectiveness of these events through conversion rate metrics. Contribute to specialized hiring initiatives such as alternate pipeline channels. The success of this role will be measured by: Successfully filling critical senior-level and specialized technical roles within target timelines. Demonstrating a proactive approach to building passive talent pipelines for key skill areas. Receiving positive feedback from hiring managers on the quality of candidates sourced and the efficiency of the recruitment process. Contributing to a reduction in time-to-fill for specialized technical roles. Enhancing the overall sourcing capabilities and knowledge within the Bangalore Talent Acquisition team. Qualifications 12+ years Proven success in full cycle recruitment utilizing mature account management skills Experience and comfort partnering & consulting at all levels of leadership Desire and capability to work with other Talent Partners to drive recruitment solutions across a wide variety of openings Possess an ability to be flexible and provide the right solution at the right time Success in developing inclusive pipelines Success in guiding, consulting and educating hiring managers on hiring best practices Experience in guiding managers on use of corporate services such as relocation and immigration Stay informed and connected to external factors and market conditions that impact our ability to attract quality hires Develop knowledge and understanding of the Intuit culture, products and industry - Support internal processes/requirements Bachelor’s or equivalent experience, Masters in HR/OD or MBA is a plus. This role will support and grow Intuit’s Product Engineering function.

Category Data Location Bengaluru, India Job ID 2025-69468 Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible. Job Overview Intuit is seeking a Staff Data Scientist to join our Data sciences in Intuit India. The Artificial Intelligence develops game changing technologies and experiments that redefine and disrupt our current product offerings. You’ll be building and prototyping algorithms and applications on top of the collective financial data of 100 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax. You thrive on ambiguity and will enjoy the frequent pivoting that’s part of the exploration. Your team will be very small and team members frequently wear multiple hats. In this position you will have close collaboration with the Intuit’s engineering and design teams, as well as the product and data teams across various business units. Your role will range from research experimentalist to technology innovator to consultative business facilitator. You must be comfortable partnering with those directly involved with big data infrastructure, software, and data warehousing, as well as product management. Responsibilities Perform hands-on data analysis and modeling with huge data sets. Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products. Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL. Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders. Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Work with a cross functional team of data scientists and product managers to develop strategies for our products that serve billions of people and millions of businesses Mentor other data scientists in the team Qualifications Technical pre requisites MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.). At least 8+ years of experience with data science for MS or at least 4+ for PhD. Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn. Efficient in SQL, Hive, or SparkSQL, etc. Application building using LLM’s Comfortable in Linux environment Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining. Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Preferred Additional Experience Apache Spark The Hadoop ecosystem Java HP Vertica TensorFlow, reinforcement learning Ensemble Methods, Deep Learning, and other topics in the Machine Learning community