12 Statistical Models Jobs

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 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. 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. In this role, your responsibilities may include: 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 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients business processes and challenges

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. 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 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. 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. In this role, your responsibilities may include: 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 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools Erwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQL databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications. As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex improvements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Connect with QA and porting engineering as vital to discuss minor changes to product functionality and to ensure quality and consistency across specific products. Duties and tasks are varied and complex needing independent judgment. Fully proficient in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 10 years of software engineering or related experience. Career Level - IC4 Organizations in all industries are under growing pressure to deliver high quality products to market faster and within budget. With products becoming more complex and project teams and suppliers spanning the globe, organizations must introduce mechanisms to efficiently and securely access, view and share information and project documents. The Oracle Applications team is looking for a Principal Developer to deliver software solutions that involve 2D/3D graphics, CAD, and the latest development technologies. The role calls for a technical, passionate, result oriented candidate, with strong leadership skills, and fresh ideas who want to take on new challenges and develop solutions for thousands of customers across many industries including Architecture, Engineering, and Construction, Automotive, Aerospace and Defense, and Electronics. In this role you will need to: . Analyze software requirements based on specifications, collaboration with peers, and background knowledge . Maintain and extend existing software. . Develop, debug, and troubleshoot new components . Lead the preparation and review of Design Documents . Take initiative in identifying, analyzing, and solving problems . Mentor and train peers and other software development staff in areas of domain expertise . Design test plans and scripts. Verify that implementations conform to requirements and standards. . Assist in technical documentation preparation. The ideal candidate will have the following: BS degree or higher in Computer Science, Engineering, Math or Physics. 10+ years proven experience in crafting and building modern enterprise/large-scale applications. 6+ years experience in C/C++, and build systems on both LINUX and WINDOWS 6+ years proven experience in Object oriented design. Experience with Scrum and Agile methodology. Knowledge of 3D/2D Graphics and CAD systems is a plus Knowledge of cad file format structure is a plus. Experience developing mathematical and statistical models to analyze data is a plus.

Job Title: Senior Manager Business Analytics Location: Hybrid, India Company: Miko About Miko: Miko is an advanced consumer robotics company dedicated to transforming the way young learners engage with technology. Our AI-powered robots use playful, conversational learning to educate, entertain, and inspire kids aged 5 and above. With a presence in 140+ countries, including the US, UK, UAE, and India, Miko is shaping the future of interactive learning. To know more about Miko, log onto our website Role Overview: We are looking for a Senior Manager Business Analyst to drive data-driven decision-making across business and product functions. The ideal candidate will be responsible for defining key business metrics, developing reporting frameworks, identifying process inefficiencies, and providing strategic recommendations based on complex data analysis. This role demands strong analytical expertise, business acumen, and a problem-solving mindset to translate raw data into actionable insights that influence company strategy. Key Responsibilities: 1. Data Modeling & Dashboard Development Design and implement data models, reporting infrastructure, and dashboards to support business decision-making. Develop automated reports and visualizations using Power BI, Tableau, or Google Data Studio. Conduct deep-dive analysis on business performance, trends, and key drivers. 2. Business Process Optimization & Decision Support Identify inefficiencies in business processes and drive the adoption of data-driven solutions. Partner with product and business teams to provide insights that optimize operational performance and enhance user experience. Influence new business opportunities and strategies based on internal and external data analysis. 3. Advanced Analytics & Problem-Solving Execute quantitative analysis to identify trends, anomalies, and growth opportunities. Develop statistical models and predictive analytics to improve forecasting and strategic planning. Provide actionable insights that drive user engagement, revenue growth, and operational efficiency. 4. Stakeholder Collaboration & Data-Driven Culture Work closely with cross-functional teams to enable a data-driven approach in decision- making. Present analytical findings to senior leadership, translating complex data into clear business recommendations. Establish best practices for data accuracy, collection, and governance. What You Bring: Required Qualifications & Skills: 5+ years of experience in business analytics, data science, or a similar analytical role. Bachelors degree in Engineering, Computer Science, Mathematics, Statistics, or a related discipline. Expertise in SQL, Excel (Pivot tables, VLOOKUP, HLOOKUP, graphs), and data visualization tools (Power BI, Tableau, QlikView, Google Data Studio, etc.). Strong knowledge of analytics platforms like Mixpanel, Google Analytics, and Clevertap. Experience handling large, multi-dimensional datasets and executing complex data analysis. Ability to synthesize data, identify patterns, and present insights in a compelling manner. Strong critical thinking, problem-solving, and business process optimization skills. Ability to multitask in a fast-paced environment and work on diverse business requirements. Preferred Qualifications: Understanding of statistical tools and machine learning techniques. Prior experience in a consumer tech, robotics, or AI-driven company.

Introduction In this role, youll 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 In this role, youll 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 As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, youll 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, youll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: 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 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Overview Provide advanced analytics support for the EU Sector in the Insights Services Center; a part of the broader Global Capability Center function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for EU to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of EU. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the EU Business Service Service Center Support relationships with the key end-user stakeholders in EU and region offices Qualifications 4 to 7 years of experience in the field of analytics Ability to convert insights into story that answers critical business questions. Hands on in coding in tools like R and Python ( both or at least

Introduction In this role, youll 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 In this role, youll 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 Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. 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 Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Introduction In this role, youll 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. In this role, youll 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 Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. 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 Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science