2920 Statistical Modeling Jobs - Page 32

AI Applications Engineer Join Oracle Applications Labs, where we design, build, and operate Oracles mission-critical AI-based enterprise applications—including systems that automate our AI cloud data centers. Our mission is to showcase Oracle’s AI-driven products and technologies, deploying them internally to support Oracle’s growth as a global AI leader. As part of our global team of data scientists, AI engineers, program managers, and scrum masters, you’ll contribute to transforming Oracle into an industry leader in AI. Key Responsibilities Design, develop, and support AI-based enterprise applications using modern AI tools and technologies (e.g., AI Agents, Retrieval Augmented Generation [...

Role Overview: As a Manager at PwC, you will be responsible for leading and managing AI and data science projects from design to deployment. Your main focus will be on ensuring high-quality and scalable delivery, translating complex business problems into AI-driven solutions, and architecting AI pipelines and data workflows. You will guide project teams on data engineering, model development, validation, and operationalization. Additionally, you will communicate technical solutions effectively to business stakeholders, foster strong client relationships, and align AI solutions with business goals. Mentoring junior team members and promoting a culture of innovation, learning, and collaboratio...

You will be joining the ANALYTICS AND INFORMATION MANAGEMENT (AIM) team at Boundaryless, a global company specializing in digital transformation. AIM was established in 2003 and operates in multiple cities in India including Bengaluru, Chennai, Pune, and Mumbai. The team's primary focus is to objectively connect and analyze information to create actionable intelligence for business leaders, identifying fact-based opportunities for revenue growth in partnership with the businesses. As a Business Analytics Analyst 2 at Boundaryless, your key responsibilities will include: - Creating client-centric analytic solutions to business problems with a holistic view of multiple businesses - Delivering ...

Position: Data Scientist (IOT) Exp: 3-8 Years Summary: Highly skilled Data Scientist with a strong background in Electrical Engineering to analyze electrical telemetry data, derive power flow equations for data center circuits based on connected assets, and develop monitoring logic to identify and predict anomalies within the electrical infrastructure of data centers. Key Responsibilities: Design, deploy, and maintain statistical and machine learning models to analyze real-time telemetry data from critical electrical systems, including Electrical Infrastructure Systems, Mission Critical Systems, Electrical Maintenance, Electrical Safety and Generators. Leverage expertise in electrical system...

In this role as a Spec Analytics Intmd Analyst at Citigroup, you will be a developing professional with the ability to work independently on complex problems. Your role will require you to integrate in-depth specialty area knowledge with industry standards and practices. It is crucial for you to have a solid understanding of how your team and area contribute to the overall objectives of the sub function/job family. Your analytical thinking and knowledge of data analysis tools will be essential in making judgments and recommendations based on factual information. You will be responsible for breaking down information in a systematic and communicable manner, and your communication and diplomacy...

As an experienced AI/ML Engineer/Data Scientist in a Client Management/Consulting organization, your role will involve working at the intersection of Data Science, AI/ML Engineering, and Data Engineering. You should have 10-15 years of deep experience in this field. Key Responsibilities: - Utilize extensive expertise in data science and AI/ML to implement innovative solutions using statistical modeling, machine learning techniques, and Generative AI. - Engage with clients to understand their business challenges and AI solution requirements, ensuring timely project delivery within defined scopes. - Collaborate with cross-functional teams to define solution/product requirements and deliver the...

Join us to advance your data science career and make a meaningful impact on product development at Chase. As a Data Scientist Senior Associate within the Data Analytics Team, you will leverage data science to optimize product development and operational efficiency. You will collaborate across teams to deliver actionable insights that drive business value and continuous improvement. Job responsibilities Collaborates with product managers, engineers, and stakeholders to translate business objectives into data-driven solutions Analyzes large, complex data sets to identify trends, patterns, and opportunities for improvement Develops and implements predictive models and machine learning algorithm...

Company Description Chetty Technologies is a specialized Technology Company providing high-end consulting services in the Banking & Finance, Telecom, Healthcare, and Hospitality domains. With offices in the US and India, we offer solutions in Application Development, AI & Machine Learning, Big Data & Analytics, Business Intelligence, Robotic Process Automation, Cloud, Agile & DevOps, and Quality Assurance. Chetty Technologies focuses on building analytical platforms, designing cloud solutions, optimizing big data strategies, and staff augmentation to help clients achieve their business goals and improve IT management. Role Description This is a contract, hybrid role for a Senior AI Engineer ...

Overview: Inuka is working with a leading renewable energy company to bring on a Senior Data Scientist based in Gurgaon. The role will focus on developing data-driven solutions to improve forecasting, asset performance, and operational efficiency across solar, wind, and energy storage projects. Responsibilities: Develop and implement predictive models, optimization algorithms, and performance analytics for renewable energy assets. Analyze large datasets from solar, wind, and BESS operations to identify trends, improve reliability, and optimize energy output. Collaborate with engineering, operations, and digital teams to turn complex data into actionable insights. Build and maintain dashboard...

Tredence is a global data science and AI solutions provider specializing in providing data-driven solutions to organizations and focused on solving the last-mile problem in AI. Headquartered in San Jose, with offices in Foster City, Chicago, London, Toronto, and Bangalore, Pune, Gurgaon, Chennai, Kolkata. Tredence is 2200-plus employees strong and caters to the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, banking, and industrials as clients. Recognized as one of the fastest-growing private companies in the country for the 7th consecutive year, as per the Inc. 5000, Tredence has twice been named a Market Leader in The Forrester Wave: Customer Analytics Service Provi...

Duties and Responsibilities: Large scale data analysis and data mining to come up with portfolio insights for both Retail and WBG portfolio Statistical modeling (ML / regression models) and segmentation thru decision tree to help solving key business problems Help plan and design business processes and make recommendations for improvement Assist in resolving business issues using systems and data Estimate costs and benefits of multiple actions and/or solutions and provide recommendations Help launch new initiatives, campaigns, analytical solutions, along with robust tracking Help in running standard and analytical dashboard/ MIS Requirement: Experience : 5+ years in analytics industry ( Fina...

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your...

As a portfolio lead you will be driving Data. Tech and AI solutions for Choreograph and drive transformation agenda for some of the leading advertisers of the country. You will translate complex business challenges into actionable data strategies, design cutting-edge AI solutions, and drive their successful implementation. Reporting of the role This role reports to: Head of Data and Tech strategy, Choreograph 3 best things about the job: 1. You will be working in a fast -paced and a collaborative environment and have exposure to some of the latest tools and techniques around data, tech and AI 2.You will be at the forefront of driving the data, tech and AI agenda for some of the top advertise...

RT Global Infosolutions Pvt. Limited. is looking for Lead Data Scientist Healthcare Domain Specialist to join our dynamic team and embark on a rewarding career journey. Lead and manage data science projects and teams. Develop and implement data models and algorithms. Collaborate with cross - functional teams. Monitor and report on project performance. Stay updated on industry trends and advancements. Disclaimer : This job description has been sourced from a public domain and may have been modified by Naukri. com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

As a Manager Customer Facing Effectiveness within our global Go-To-Market-Capabilities (GTMC) Team, youll design, manage, and analyze data-driven incentive plans, support localization by allocating sales targets, manage incentive simulations based on global policies, track performance using KPIs for sales effectiveness, and ensure global alignment of incentive processes within the Customer Facing Hub. Main responsibilities: Design Incentives : Design, manage, and analyze incentive plans and focus on setting data-driven sales targets. Lead customer profiling and segmentation analysis ensuring a robust analysis to define target segments that are aligned with business objectives. Lead resource ...

About the Role As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and expe...

As the Lead AI/ML Engineer/Data Scientist, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions. Key Responsibilities: Lead the design and development of machine learning models and AI solutions to solve business problems. Select appropriate machine learning or deep learning models based on problem context and data availability. Develop, train, t...

Job Summary: As the Lead AI/ML Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions. Key Responsibilities: Lead the design and development of machine learning models and AI solutions to solve business problems. Select appropriate machine learning or deep learning models based on problem context and data availability. Develop, train, tes...

Key Responsibilities: Design, develop, and maintain robust and scalable analytics platforms and data pipelines. Build backend services and APIs to support data access, aggregation, and visualization. Collaborate with product managers, analysts, and data scientists to understand requirements and deliver end-to-end solutions. Optimize data systems for performance, scalability, and cost-efficiency. Implement data quality, security, and governance best practices. Troubleshoot production issues and ensure reliability of analytics systems. We are looking for 4 to 9 years of experience. Relevant Experience in - Advanced analytics, Statistics or Predictive Modelling includingSupervised (Linear Regre...

Position Overview: We are seeking a talented Mid-Level Data Scientist to join our dynamic team. The ideal candidate will have a strong analytical background and the ability to translate complex data into actionable insights. This role involves collaborating with cross-functional teams to enhance our data-driven decision-making processes, particularly within the retail sector . Responsibilities: Analyze large datasets to identify trends, patterns, and insights that drive business strategy. Develop and implement predictive models and statistical analyses to support decision-making. Conduct exploratory data analysis (EDA) to uncover meaningful insights and effectively communicate findings. Coll...

Job Summary: The Data Science Manager will lead teams in designing and implementing advanced analytics and AI solutions for clients across industries. The role involves managing a team of data scientists, collaborating with business and technology stakeholders, and delivering insights that drive strategic decision-making. The candidate will work on data-driven initiatives spanning predictive modeling, machine learning, and AI-enabled solutions. Key Responsibilities: Lead and mentor a team of data scientists, analysts, and ML engineers . Drive end-to-end data science projects including problem definition, data collection, model development, and deployment. Collaborate with clients and interna...

provide solutions using data analytics with python, SQL, pyspark , powerbi. Delivering insights based on complex data analysis, Required Candidate profile risk analytics, marketing analytics, data modeling, python, pyspark, SQL,data analytics, predictive modeling, advance analytics, data exploration & manipulation, data engineering, healthcare analytics

We are seeking a Sr. Research Data Analyst - Latin America at the net-zero industrial policy lab will work with Co-Directors Bentley Allan and Tim Sahay. They will co-author academic publications, policy reports, and briefs. They will lead the lab's Latin America engagement and outreach activities designed to build a network of strategic actors to advance industrial policy. They will work with partners to advance and influence policy development and the formation of clean energy supply chains. They will work with our Lab's core modelling team to identify the top priority opportunities suited to green competitive advantage of key countries in Latin America, especially Mexico. The Sr. Research...

Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business Partnering on the design and implementation of statistical data quality procedures for existing and new data sources Communicating complex data science solutions, concepts, and analyses to team members and business leaders Presenting data insights & recommendations to key stakeholders Establishing links across existing data sources and finding new, interesting data correlations Ensuring testing and validation are components of all analytics solutions Skills : Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, and statistical modeling Proficie...

1. Lead and execute Enterprise and Platform specific analytics 2. Partner with other teams to define and monitor KPIs to evaluate the success of campaigns and optimize 3.Support strategic initiatives and analytic solutions building end-to-end