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data scientist-advanced analytics Jobs in Bangalore

data scientist-advanced analytics

data scientist-artificial intelligence Jobs in Bangalore

data scientist-artificial intelligence

data scientist

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
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 Work with broader team to build, analyze and improve the AI solutions.
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 You will also work with our software developers in consuming different enterprise applications.
 
 
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 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
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 Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
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 Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy
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 Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
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 Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models.
 
 
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 Preferred Technical And Professional Experience
 
 
 
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 Experience with conversation analytics. Experience with cloud technologies
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 Experience with data exploration tools such as Tableu
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 </ul>
</div>

Data Scientist-Artificial Intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
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 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
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 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
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 In this role, your responsibilities may include:
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 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
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 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
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 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
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 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
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 Document solution architectures, design decisions, implementation details, and lessons learned.
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 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
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 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
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 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
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 Experience and working knowledge in COBOL &amp; JAVA would be preferred
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 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
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 Demonstrate a growth mindset to understand clients' business processes and challenges
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</div>

Data Scientist-Advanced Analytics

NTT DATA North America

<div>
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Data Analyst to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 Experience: 3 to 6 Years
 
 
 Keywords: Statistical analysis, Data Visualization, Dashboards, Data pipelines, Data Gathering, Root Cause Analysis
 
 
 Description: A data analyst who can fetch required data from field vehicle data tables and analyze as per the use cases by using various data visualization techniques. Build tools.
 
 
 Responsibilities:
 
 
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 Analysis of field car data
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 Usage of different data pipelines and get required data
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 Collaboration with data pipeline owners and data engineers
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 Data cleaning and plausibility checks
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 Creating gold and silver layers of data for analytics
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 Statistical analysis as per the requirement
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 Build and maintain dashboards
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 Building suitable tools for scaling data analytics methods
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 Collaborating with Global stakeholders and Product owners
 
 
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 </ul>
 Skills/Qualifications/Experience:
 
 
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 Bachler&rsquo;s or Master&rsquo;s degree in any STEM disciplines
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 Microsoft Azure
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 Databricks
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 Python
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 SQL
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 Optional skills (good to have) &ndash; Power BI, Automotive Powertrain domain knowledge
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 Soft Skills: Excellent written and verbal communication skills, Flexible, Self-driven, Team Player
 
 
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 About NTT DATA
 
 
 
 NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world&rsquo;s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&amp;D.
</div>

Data Analyst

Google DeepMind

<div>
 Snapshot
 
 
 We are seeking highly motivated and innovative Research Scientists to join our team in Bengaluru, focused on advancing the state-of-the-art in multilingual, multicultural, and multimodal large language models (LLMs). You will conduct cutting-edge research on Gemini, particularly in the multilingual, multicultural, and multimodal domain (speech, vision, and text), with a direct path to impacting billions of users through Google products. This role offers a unique opportunity to contribute to foundational research in multilingual and multimodal LLMs, with a special emphasis on unique challenges in the Asia-Pacific (APAC) region, while collaborating with a world-class team at Google DeepMind around the world. If you are passionate about shaping the future of human-computer interaction through multilingual and multimodal LLMs and are eager to make a significant impact on users in the APAC region and beyond, we encourage you to apply.
 
 
 
 About Us
 
 
 
 Artificial Intelligence could be one of humanity&rsquo;s most useful inventions. At Google DeepMind, we&rsquo;re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
 
 
 This position is based in the Languages group at Google DeepMind India. The group works on all aspects of LLM development (e.g., pretraining, posttraining, evaluations, etc) and have made impactful contributions to improve Gemini&rsquo;s multilingual performance. The group&rsquo;s work has also enhanced various Google products such as Gemini App, Assistant, Search, etc, including foundational contributions to Google Translate's largest expansion of 110 languages representing more than 600 million speakers.
 
 
 The role
 
 
 As a Research Scientist at Google DeepMind, you will:
 
 
 Key responsibilities
 
 
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 Develop and evaluate multilingual, multicultural, and multimodal LLMs: Design, implement, and evaluate multilingual, multicultural, and multimodal capabilities in Gemini and other frontier models at Google
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 Collaborate with a world-class team: Work closely with other research scientists, engineers, and product teams across Google DeepMind, fostering a collaborative and intellectually stimulating environment.
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 Contribute to real-world impact: See your work contribute to Gemini and other frontier models at Google, with applications across various domains, directly influencing the future of Google products and services.
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 Contribute to the research community: Contribute to the research community by sharing insights and participating in external academic workshops and conferences.
 
 
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 About You
 
 
 
 You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact. You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI.
 
 
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 Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field.
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 Strong publication record in top-tier AI conferences or journals.
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 Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.
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 Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
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 Excellent communication and collaboration skills.
 
 
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 In addition, the following would be an advantage:
 
 
 
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 Experience with multilingual, multicultural, and/or multimodal learning in LLMs.
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 Experience with pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations.
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 Familiarity with large-scale model training and deployment.
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 Strong programming skills in Python or similar languages.
 
 
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 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
</div>

Research Scientist, Languages and Multimodality

Acko

<div>
 
 
 We are seeking a talented MIS Analyst (Sr. Associate) with a strong background in data analytics to join our team. The ideal candidate will ensure our data reporting accuracy, timeliness, and effectiveness. In this role, you will regularly coordinate with finance, product, business, and other key stakeholders to monitor key performance indicators (KPIs) and ensure that targets are met. You will manage ad-hoc requests from various departments, discuss daily, weekly, and monthly performance with stakeholders, and efficiently handle outage scenarios.
 
 
 
 
 
 Responsibilities
 
 
 
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 Coordinate with finance, product, business, and and other stakeholders regularly.
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 Monitor and analyze KPIs to ensure they meet targets and identify areas for improvement.
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 Manage ad-hoc data and reporting requests from Finance and other functions.
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 Responsible for daily/weekly/monthly reports.
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 Effectively manage outage scenarios and ensure continuity in reporting processes.
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 Maintain data integrity and take ownership of the MIS delivery process.
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 Ensure accurate and timely reporting across all business functions.
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 Design, develop, and maintain automated standard reports.
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 Collaborate with IT teams to enhance data governance, ensuring data security and privacy.
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 Document and maintain data processes, ensuring proper documentation of reporting procedures.
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 Stay updated on industry trends in data analytics and MIS, recommending best practices.
 
 
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 Requirements
 
 
 
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 Any Degree with 1-4 years of relevant experience in data analytics or MIS.
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 Proficiency in SQL and strong MS Excel skills.
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 Familiarity with BI tools such as Tableau.
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 Self-motivated, with a strong sense of personal accountability.
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 Ability to work independently and as part of a team in a fast-paced environment.
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 Strong communication skills to effectively interact with stakeholders at all levels.
 
 
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 What We Offer
 
 
 
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 A dynamic team of colleagues who are passionate about innovating and disrupting the insurance industry in India.
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 Opportunity to be part of an early stage high potential start up
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 Independence and ownership in both design and execution where conceptualisation to execution cycle is in weeks and not in months
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 Platform to work with senior stakeholders to drive multiple strategic initiatives
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</div>

Associate/Sr. Associate - MIS

JumpCloud

<div>
 
 
 All roles at JumpCloud are Remote unless otherwise specified in the Job Description.
 
 
 
 
 
 About JumpCloud
 
 
 JumpCloud&reg; delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud is IT Simplified.
 
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 Our Enterprise Data Analytics function is the strategic engine that fuels data-driven decision-making across the entire organization. We move beyond simply making data visible to defining what data matters and how it is used to achieve critical business outcomes, strategic alignment, and operational excellence globally. The Director will lead the global strategy for analytics, ensuring data insights drive impactful results for all business units, particularly within the fast-paced SaaS and Cybersecurity landscape.
 
 
 
 
 
 
 
 Reporting to the Chief Business Officer, this role will leverage their significant experience in business operations, software engineering, vendor management and integration and exceptional team building to generate an execution machine.&nbsp; This role requires an in-depth knowledge of business operations and processes along with SaaS product development and integration needs in order to create a technology strategy that underpins JumpCloud&rsquo;s data products, PLG, SLP and Partner sales motions, customer lifecycle and G&amp;A motions.&nbsp;
 
 
 
 
 
 
 
 
 
 
 What You'll Be Doing:
 
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 Define and Champion the Global Data Strategy: Own, develop, and execute the 3-5 year roadmap for Enterprise Data Analytics, ensuring alignment with the overall company and product strategy.
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 This includes identifying key opportunities for leveraging data to drive revenue, efficiency, and customer experience
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 Executive Stakeholder Management &amp; Influence: Act as the primary strategic partner to C-level executives (CFO, COO, CTO, CMO) and senior leadership across Engineering and GTM.&nbsp;
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 Proactively present complex data narratives and actionable insights that drive significant organizational investment and policy change
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 Lead and Scale the Analytics Function: Provide inspirational leadership and mentorship to the Manager-level reports and the broader team. Be accountable for the organizational structure, talent development, succession planning, and performance management of the entire data analytics domain
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 Drive Data Governance and Quality: Establish and enforce global data governance policies, quality standards, and compliance frameworks relevant to a SaaS organization (e.g., security, privacy, international standards). Be the ultimate owner of data integrity and reliability across the enterprise
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 Operational and Financial Oversight: Own and manage the departmental budget, technology stack investments (e.g., tools, platforms, data infrastructure), and vendor relationships. Ensure maximum ROI on all data-related initiatives
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 Accelerate Organizational Efficiency: Systematically identify, prioritize, and eliminate enterprise-level data silos and highly inefficient systems/processes across departments (Sales, Marketing, Product, Finance, etc.), using data insight to compel necessary transformation
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 Cultivate a Data-Driven Culture: Champion the adoption of analytics best practices and data literacy across all functions. Shift the organization's mindset from reporting what happened to predicting what will happen and prescribing action
 
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 </ul>
 
 
 
 
 We're Looking for (Leadership &amp; Influence Competencies):
 
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 Strategic Visionary and Transformation Agent: A proven leader who can look beyond the immediate data request to define the foundational capabilities needed for future success. Must demonstrate the ability to drive large-scale, enterprise-wide change initiatives through data
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 Master of Cross-Organizational Influence: Exceptional ability to build and maintain strong, transparent relationships with senior leaders, using data and influence to drive outcomes in highly matrixed environments, especially across international geographies (EMEA/APAC)
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 High Accountability and Ownership: Holds ultimate accountability for the success and failure of the Enterprise Data Analytics function. Exemplifies ownership, transparency, and a high bar for team performance and ethical data usage
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 Servant Leadership Philosophy: Dedicated to the success and career growth of direct and extended team members while balancing strategic objectives. Values humility and shared success while demonstrating decisiveness when accountability is required
 
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 </ul>
 
 
 
 
 Required Qualifications:
 
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 Extensive Domain Expertise: Deep, comprehensive knowledge of enterprise data analytics, Visualization ,&nbsp; data warehousing, BI strategy, and predictive modeling within a high-growth SaaS or technology environment
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 Leadership Experience: Proven experience leading a functional domain or department, including managing Managers and being fully accountable for resource allocation, strategy, and personnel decisions
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 Strategic Financial Impact: Demonstrated experience in departmental budgeting, leading significant strategic planning efforts, and driving procedural/technological change that has measurable financial and operational impact
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 Education and Experience: Typically requires a Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics) and at least 10+ years of progressive experience, with a minimum of 3-5 years in a senior leadership or Director-level capacity
 
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 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 Where you&rsquo;ll be working/Location:
 
 
 JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.
 
 
 
 
 
 
 
 You must be located in and authorized to work in the country noted in the job description to be considered for this role.&nbsp;
 
 
 
 
 
 Please note: There is an expectation that our engineers participate in on-call shifts. You will be expected commit to being ready and able to respond during your assigned shift, so that alerts don't go unaddressed.
 
 
 
 
 
 
 
 Language:
 
 
 JumpCloud has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud, you will be required to speak and write in English fluently.&nbsp; Any additional language requirements will be included in the details of the job description.
 
 
 
 
 
 
 
 Why JumpCloud?
 
 &nbsp;
 
 
 
 If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud is an incredible place to share and grow your expertise! You&rsquo;ll work with amazing talent across each department who are passionate about our mission. We&rsquo;re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You&rsquo;ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.&nbsp;&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 One of JumpCloud's three core values is to &ldquo;Build Connections.&rdquo; To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO
 
 
 
 
 &nbsp;
 
 
 
 
 Please submit your r&eacute;sum&eacute; and brief explanation about yourself and why you would be a good fit for JumpCloud.&nbsp; Please note JumpCloud is not accepting third party resumes at this time.&nbsp; &nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 JumpCloud is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 
 
 
 
 
 
 
 
 Scam Notice:
 
 
 
 
 
 Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.
 
 
 
 
 
 
 
 All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice"&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 #BI-Remote
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

Director of Enterprise Data Analytics - India

Yubi

<div>
 
 We are looking for a Conversational Analyst with 2-3 years of experience in designing and enhancing chat and voice user experiences. This role requires a deep understanding of user context, a strong focus on quality assurance, and a passion for creating impactful conversational solutions. The ideal candidate will play a critical role in identifying problems, testing conversational flows, and ensuring a seamless user journey before deployment.
 
 
 Over time, the selected candidate will gain exposure to advanced technologies, including Large Language Models (LLMs), Bhasa Infrastructure, Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) systems.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Context Analysis and Problem Solving:
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 Understand user needs, identify issues in existing conversational flows, and propose enhancements to improve the overall user experience.
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 Testing and Validation:
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 Rigorously test chat and voice user experiences for functionality, usability, and contextual accuracy before they are deployed to production.
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 Collaboration with Data Scientists:
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 Work closely with data scientists to analyze conversational data, identify patterns, and improve conversational AI models and flows.
 </li>
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 Conversation Flow Optimization:
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 Analyze and refine conversational designs to ensure natural and seamless interactions for both chat and voice-based systems.
 </li>
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 Data Analysis and Reporting:
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 Use analytics tools to monitor and report on user behavior and feedback, offering actionable insights to improve conversation designs.
 </li>
 <li>
 Learning and Development:
 </li>
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 Gradually build expertise in advanced conversational AI technologies, including LLMs, ASR, TTS, and the Bhasa infrastructure.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 
 Key Skills and Qualifications
 
 
 <ul>
 <li>
 2-3 years of experience working in conversational design, chatbot/voice assistant testing, or a related field.
 </li>
 <li>
 Strong understanding of chat and voice UX principles and best practices.
 </li>
 <li>
 Hands-on experience in testing conversational flows and troubleshooting user interaction issues.
 </li>
 <li>
 Analytical mindset with the ability to interpret user behavior and provide actionable insights.
 </li>
 <li>
 Excellent communication and collaboration skills to work effectively with data scientists and technical teams.
 </li>
 <li>
 Knowledge or exposure to conversational AI tools and platforms (e.g., Dialogflow, Rasa, or similar).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with Large Language Models (LLMs) and their applications.
 </li>
 <li>
 Exposure to technologies such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS).
 </li>
 <li>
 Understanding of the Bhasa infrastructure or similar conversational AI ecosystems.
 </li>
 <li>
 Basic programming or scripting knowledge for prototyping/testing purposes.
 </li>
 </ul>
 
 
</div>

AI Product Analyst

Explore 39+ Data scientist in Bangalore this January. Find roles across top companies and apply now to boost your career.