Data Scientist Algorithms Community Support Salary India in India

About the company: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Job Description: As an Account Manager you will be responsible for ensuring customer success and growth in Fortune 1000 companies working with Sigmoid. A maverick self-starter, you understand brand building, how to sell innovation, drive deals forward and compress decision cycles. You will play a key role in driving our business to great heights, and drive our revenue growth in parallel. We're looking for a passionate farming growth hacker with a track record of proven success in Data Solutions selling in Fortune 1000. Prior experience in Analytics, Data Science & Big Data will be an added advantage. Job Responsibilities: As an Account Manager, you will have the opportunity to work on major business initiatives that contribute to Sigmoid’s growth and productivity objectives. In this role, you will have the responsibility of managing multiple account management strategy implementation assignments supporting the Account Management function & will work directly with the business, IT and strategy teams in catering to the end-to-end business needs. Essential Responsibilities: Manage account management strategy implementation and validation Effective communication and presentation Ability to work as in a team as well as contributing as an individual Lead and provide a road map for the team of account Able to establish priorities and co

About the Company: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions by building modern data architecture using cloud and open-source technologies. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Offices: New York | Dallas | San Francisco | Lima | Bengaluru. The role below is for our Bengaluru office. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle complex business problems and convert them into straightforward data solutions. You will work in a fast-paced, high-impact environment and help shape data, analytics, and AI-led transformation for leading global insurance enterprises. About the Role: Sigmoid is looking to board a Leader for our Insurance Consulting Practice who can bridge the gap between high-level strategy and granular operational reality. A true expert in the insurance space must understand the interconnectedness of insurance products, claims ecosystems, underwriting dynamics, customer journeys, regulatory requirements, and operational processes. In this role, you will drive strategic initiatives, foster innovation, and provide visionary direction to our insurance practice with a strong focus on insurance analytics and AI-led transformation. The role requires a strong portfolio leader responsible for managing strategic accounts across new business development and account growth, while partnering with senior client stakeholders to define analytics use cases across Data Engineering, Data Science, Product Engineering, and Consulting. Roles and Responsibilities: Strong understanding of Insurance sub sectors operating model, value drivers and underlying mechanics Insurance Operations - Ability to

Lead - Physical Security will oversee security projects in data centres, develop and implement strategies to address risks and ensure compliance with industry standards. This role involves collaborating with cross-functional teams, conducting security assessments, and offering expert guidance on security matters. Source: Adani Group | Job ID: 58545

The Lead - Cybersecurity is responsible for safeguarding AdaniConneX's operational data center infrastructure by establishing and managing a robust cybersecurity framework covering IT and Operational Technology (OT) environments. The role will lead cybersecurity governance, cyber risk management, incident response, network and endpoint security, cyber resilience, regulatory compliance, and third-party cybersecurity assurance across multiple operational data centers. The incumbent will drive a proactive security culture, ensure adherence to cybersecurity policies and standards, strengthen cyber resilience, and support business continuity while enabling safe, secure, sustainable, and compliant data center operations. Source: Adani Group | Job ID: 57528

Lead Projects - Mechanical manages all mechanical aspects of data centre projects, including planning, procurement, and technical guidance. This role ensures project alignment with goals, compliance with standards, and continuous improvement while mentoring junior team members. Source: Adani Group | Job ID: 48436

AI/ML Dev - Chatbots • 8+ years of experience in Data/AI Projects • Understanding of end-to-end architecture for Generative AI solutions aligned with business goals. • Experience in Azure OpenAI integration (GPT models, embeddings) with prompt engineering and model tuning. • Programming experience in Python for AI project is a must • Designs scalable RAG systems using Azure AI Search, vector databases, and secure data pipelines. • Knowledge of MLOps and CI/CD workflows using Azure DevOps and automated testing frameworks. • Establishes Python coding standards, reviews code, and mentors development teams. • Knowledge of deployment and governance of AI applications across Azure infrastructure. • Work with cross function teams (IT/ Non IT) to help the development teams build the solutions faster and more efficiently.

Fresher Jobs in Hyderabad 9989612735 We are offering: Data Analytics Data Visualization Cybersecurity Full stack Software Testing UI/UX Devops AWS Java python Testing etc Job Location Hyderabad Note: This is paid service Charges apply Backdoor Process 9989612735

About the Role As a member of the Data team within the Go-to-Market organization, you will help build a data-driven culture, improve decision-making, and advance strategic initiatives through analytics. This is a full-stack data role spanning data modeling, metric definition, visualization, analysis, and self-service tooling. You will build trusted, scalable data sources and products that give the business reliable, actionable insights. The work calls for judgment: you will choose the tool, approach, and level of investment that best fit each problem, from a focused analysis to a durable production data product. As a core partner to the GTM organization, you will address both foundational and ad hoc analytics needs. You will turn complex data into clear narratives that help technical and non-technical audiences understand what is happening, why it matters, and what they should do next. In this role, you will: Partner closely with GTM teams to proactively identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions. Define, source, validate, and operationalize the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions. Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains. Build scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets. Create dashboards, reports, analytical tools, and other data products that enable stakeholders to answer questions independently. Own the lifecycle of metrics, analytical models, and data products from initial exploration and prototyping through production and ongoing maintenance. Choose the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on the audience, urgency, complexity, and expected

Position Overview We are seeking a highly analytical and data-driven Payment Reconciliation Specialist / Analyst to oversee our end-to-end financial reconciliation processes. In this role, you will be responsible for managing high-volume transaction datasets, tracking payment lifecycles, and ensuring absolute financial accuracy across internal systems, payment gateways, and banking partners. The ideal candidate bridges the gap between finance and technology—possessing strong core accounting fundamentals alongside advanced technical skills in SQL and Python to drive automation, eliminate manual workflows, and optimize payment processing costs. Key Responsibilities 1. Core Payment & Financial Reconciliation End-to-End Auditing: Validate transaction records across internal systems, payment gateways (PGs), banking partners, settlement files, and merchant reports. High-Volume Data Analysis: Analyze massive transaction datasets to promptly identify mismatches, pending settlements, duplicate transactions, and financial exceptions. Chargeback Management: Monitor disputed transactions, track the complete chargeback lifecycle, validate reversal entries, and ensure accurate accounting adjustments/recovery. Finance & Accounting Support: Validate transaction postings, track pending receivables, manage refund accounting, handle merchant payout reconciliation, and assist with balance sheet reconciliation. 2. Cost Optimization & Reporting PG Cost Analysis: Monitor and analyze Payment Gateway costs (MDR charges, transaction processing fees, bank charges, gateway settlement fees) to identify cost-optimization opportunities. MIS & Dashboards: Prepare daily, weekly, and monthly MIS reports and design reconciliation dashboards for leadership, finance, and operations teams to support audit readiness. 3. Data Engineering & Process Automation SQL Data Extraction: Write complex SQL queries for reconciliation checks, exception reporting, and data validation across large transactional da

About the Role: We are looking for a highly analytical and data-driven Business Analyst who can derive actionable insights to support business growth, product strategy, and operational efficiency. The ideal candidate should have strong problem-solving abilities, hands-on experience with SQL and Power BI, and the ability to work closely with cross-functional teams to drive data-backed decision making. Key Responsibilities: ● Analyze large datasets to identify trends, business opportunities, and performance gaps. ● Build and maintain dashboards, MIS reports, and business performance trackers using Power BI. ● Write complex SQL queries for data extraction, validation, and analysis. ● Partner with business, product, marketing, and operations teams to support strategic initiatives. ● Monitor key business metrics and provide actionable recommendations to stakeholders. ● Automate recurring reports and improve reporting efficiency. ● Present insights and findings to leadership teams in a clear and structured manner. Requirements: ● 2–5 years of experience in Business Analytics / Data Analytics. ● Strong proficiency in SQL and Power BI is mandatory. ● Good understanding of data visualization, reporting, and dashboarding. ● Strong analytical thinking and problem-solving skills. ● Experience working with large datasets and deriving business insights. ● Excellent communication and stakeholder management skills. ● Prior experience in fintech, consumer internet, or digital businesses will be preferred. Preferred Skills: ● Knowledge of Excel, Python, or other analytics tools is a plus. ● Exposure to product analytics, customer lifecycle analysis, or performance marketing analytics would be an advantage.

Associate Lead - Projects Electrical supports planning and execution of electrical projects in data centres. Responsibilities include supervising teams, integrating systems with cross-functional teams, and ensuring equipment installation, testing, and compliance with codes and regulations. Source: Adani Group | Job ID: 52280

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. What you’ll do: Manage end-to-end release cadences for both DataHub Core (OSS) and our Managed Cloud Coordinate cross-functional teams including engineering, product, QA, DevOps, documentation, and customer success Define Quality Gates: Establish the "Go/No-Go" criteria that ensure every release is rock-solid Build Automation: Design the dashboards and runbooks that turn manual release chaos into a streamlined machine Risk Mitigation: Identify breaking changes and dependency conflicts before they hit production Serve as the central point of contact for all release-related questions and updates Facilitate release retrospectives and drive continuous improvement initiatives Required Qualifications 5+ years of experience in technical program management or release management roles Proven track record of managing complex software releases in fast-paced startup environments Deep understanding of software development lifecycles, CI/CD practices, and DevOps principles Experience with both open-source and enterprise software release models is a strong plus Strong technical background with ability to understand architecture, dependencies, and technical trade-offs Excellent project management skills with proficiency in tools like Jira, Linear, or similar Outstanding commun

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. About the Role We're seeking an experienced DevOps/ Site Reliability Engineering (SRE) Engineer to join DataHub and drive the reliability, scalability, and operational excellence of our platform offerings. In this role, you'll work on technical initiatives across DataHub Cloud and our emerging enterprise deployment solution, which provides customers with enhanced control and flexibility for running DataHub in their preferred environments. Key Responsibilities Enterprise Platform Development: Partner with product and engineering teams to influence the development of advanced deployment capabilities. Collaborate with cross-functional teams to help build systems for seamless installation, upgrade, and rollback processes across various environments. Influence the design and help implement comprehensive monitoring and health check systems for distributed deployments. Partner with engineering teams to help develop self-healing and automated remediation capabilities. Platform Reliability and Operations: Establish and maintain SLAs/SLOs for both cloud and enterprise offerings. Lead incident response and post-mortem processes to drive continuous improvement. Optimise system performance, capacity planning, and cost efficiency. Work closely with product, engineerin

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. About the job DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides an in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. In this role, you will Build core capabilities for our SaaS Platform across multiple clouds Drive development of functional enhancements for Data Discovery, Observability & Governance for both OSS and SaaS offering Lead efforts around non functional aspects like performance, scalability, reliability Lead and mentor junior engineers Work closely with PM, Customers and OSS community Requirements Over 8+ years of experience building and scaling backend systems, preferably in cloud-first or SaaS environments. Solve complex tech

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are seeking a highly skilled and proactive Data Analyst to be a critical hands-on contributor to our client reporting and analytics initiatives within WPP Open. Reporting directly to the Data Analytics Lead, you will be responsible for translating complex business questions into robust analytical solutions, going beyond descriptive reporting to identify patterns, drive predictive insights, and deliver actionable intelligence to our client teams. This role is for an expert practitioner who thrives on diving deep into data, possesses exceptional SQL skills, and has a proven track record of delivering impactful analytical products. You will play a key role in executing the data strategy defined by the Lead, ensuring data accuracy, and championing innovative analytical approaches. What you'll be doing: Advanced Data Analysis & Insight Generation: Perform complex, hands-on data analysis to identify key trends, patterns, and anomalies in client usage data from the WPP Open platform. Go beyond standard reporting by conducting in-depth investigations, root ca