1023 Statistical Analysis Jobs - Page 32

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Role Summary: Data and Analytics Services, the Lead Analytics Consultant is responsible for developing innovativ...

The Machine Learning Engineer role focuses on enhancing interactions across user gaming experiences and systems by designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems efficiently. You will have the opportunity to create exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Immersion in cutting-edge ML technologies, tools, and processes is a key aspect, contributing to the advancement of technical objectives and architectural initiatives. As an ML Engineer, your responsibilities include designing and developing machine learning models and algorithms tailored to var...

We are looking for a skilled R Shiny programmer to create interactive reports that transform clinical trial data into actionable clinical insights. As an R Shiny programmer, your role will involve designing, developing, deploying, and optimizing user-friendly web applications for analyzing and visualizing clinical data. Your responsibilities will include designing, developing, testing, and deploying interactive R Shiny web applications. You will collaborate with data scientists, bioinformatics programmers, analysts, and stakeholders to understand application requirements and translate them into intuitive R Shiny applications. Additionally, you will be responsible for translating complex data...

Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, weve been doing just thatour technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital, WD, WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-g...

Key Skills Required For The Data Modeler Role Data Modeling Expertise Ability to analyze and translate business needs into long-term data models. Metadata Management Strong knowledge of metadata management and related tools. Machine Learning Experience 5-8+ years of experience in machine learning in production. Statistical Analysis Knowledge of mathematical foundations and statistical methods. Database Systems Evaluating and optimizing existing data systems. Data Flow Design Creating conceptual data models and data flows. Coding Best Practices Developing best practices for data coding to ensure consistency. System Optimization Updating and troubleshooting data systems for efficiency. Collabo...

As a Market Research Analyst in the jewelry industry, you will play a crucial role in conducting comprehensive market research to analyze trends and provide actionable insights to support manufacturing and sales strategies. You will gather and analyze market data from various sources, including industry reports, financial statements, consumer surveys, and competitor analysis. Your responsibilities will include identifying emerging trends, consumer preferences, and market opportunities in the jewelry sector, as well as compiling and interpreting data using statistical techniques and data visualization tools. Collaboration with cross-functional teams to develop and implement research projects ...

About PSA BDP: PSA BDP, a member of the PSA Group, is a leading provider of globally integrated and port-centric supply chain, transportation, and logistics solutions. The company is headquartered in Philadelphia, PA, and employs more than 5,500 people worldwide. We are a team that celebrates our unique diversity and close-knit community atmosphere. Our core values begin at the very top and span the broad reach of our global community. We offer dynamic careers for those individuals looking to be a part of something bigger and provide unequivocal opportunities for growth within the organization. PSA BDP serves over 5,000 customers, including some of the world's leading multinational companies...

As a Senior Model Developer at Barclays, you will play a crucial role in leading the evolution of the digital landscape, driving innovation and excellence within the organization. Your primary responsibility will be to utilize cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Quantitative Analytics (QA) is a global organization comprising highly specialized quantitative modellers and developers, led by Olaf Springer, a member of Risk Exco. In this role, you will be involved in developing, testing, implementing, and supporting quantitative models for various aspects of risk management and valuation across Barclays. Key responsibilities of ...

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience translating product and business questions...

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). About the job H...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in an applied research setting (e.g., product or academic), or similar. Experience with research methods (e.g., usability, studies, contextual inquires, 1:1 interviews, unmoderated research studies). Preferred qualifications: Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field. 3 years of experience working with executive leadership (e.g., Director level and above). 2 years of experience conducting UX research on products, managing projects, and working in a large organization. Experience in running user research pro...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 2 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 3 years of experience in abuse analytics, Trust and Safety, policy, cybersecurity, or related fields. Experience using statistical analysis and hypothesis testing. Experience analyzing machine learning (ML) models performance or working on LLMs. Excellent problem-solving and critical thinking skills with attention to detail in an ever-chan...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 1 year of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 2 years of experience in the Payments industry, working on risk or fraud management and in one or more of the following areas: statistical analysis and machine learning libraries (e.g., R, Scikit-learn,Tensorflow), programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI. Experience in innovation, technology...

Minimum qualifications: Bachelor's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 5 years of experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.). Experience in articulating product questions, pulling data from datasets (e.g., SQL), and using statistics. Preferred qualifications: 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL). Experience working with multiple datasets/data warehouses, with the ability to pull from data sets using tools and coding. Experience in ...

Designation: Data AnalystThe Business Analyst role is one of the most crucial roles in any organization and so is it in Gameskraft. This role offers taking initiatives, dealing with challenging problems, building data science models, finding insights from existing data and presenting it through power of data visualization.This role is in the Fairplay (FPV) team which leads development and implementation of effectivefraud detection and prevention strategies to mitigate losses while ensuring an appropriatebalance between risk and customer experience.What you will do : You ll work with large, complex data sets to solve high-impact business problems which will have a direct impact on the growth ...

Job Description WHAT YOU LL DO Are you passionate about transforming data into insights that drive real business decisions? Join our team as a Data Analyst and help shape the future of fashion through data-driven innovation. As a Data Analyst, your primary focus is developing high-quality analyses that meet our business needs and technological standards. You possess a solid technical foundation, problem-solving aptitude, and a passion for contributing to a collaborative team environment. Responsibilities Main focus is the data analyst scope of the product/program/team where you are expected to contribute to the short- and long-term agenda. Data discovery, building data products, testing and ...

Business Function The Data Chapter is a strategic partner to the business, leveraging cutting-edge AI and ML technologies to drive data-led initiatives that mitigate risk, generate revenue, and improve operational efficiency. We ensure data integrity and governance, providing high-quality analysis, insights, and automation to empower data-driven decision-making across DBS. Our collaborative approach ensures timely and actionable solutions that support the organizations strategic objectives Responsibilities Develop and implement advanced data science models and algorithms to drive business insights and decision-making Collaborate with cross-functional teams to identify and solve complex busin...

Position Overview Here at ShyftLabs, we are searching for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution Job Responsibilities: Research, design, and develop innovative generative AI models and applications. Collaborate with cross-functional teams to identify opportunities for AI-driven solutions. Train and fine-tune AI models on large datasets to achieve optimal performance. Optimize AI models for deployment in production environments. Stay up-to-date with the latest advancements in AI and machine learning. Collaborate wit...

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, youll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. Youll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You ll wo...

About Bharat Banking Bharat Banking is a new Department which has been set up to drive different business that the Bank does in Semi Urban and rural markets. The department is expected to drive business outcomes by focusing on partnerships, new products, innovation, reimagining customer journeys and driving / creating new channel. About the Role The Relationship Manager will be responsible for nurturing client relationships through continuous client engagements and risk profiling. The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements. The center of all client engagements will be to ensure superior customer exper...

Associate Breeder - Rice Collection, cataloguing and conservation of germplasm Development of superior lines with traits of commercial importance Work closely with the Technology Deployment Team for Trait Introgression for commercially important traits using Marker Assisted Selections ( MAS) Development of superior hybrids suitable for different market segments Coordinate with testing teams for conduct of different stage trials in the targeted environments Data management for LDB program and trials Statistical analysis for decision making for product advancements Coordinate with all stakeholders for commercialization of hybrids Seed chain management for commercial and pre-commercial hybrids ...

What youll be doing in your new job: 1. Become an expert in Kvantum marketing analytics platform to perform statistical analysis and modeling as well as engage with Kvantum data science, marketing science & product dev teams to deliver end to end MMM ( Marketing Mix Modeling ) engagements. 2. Leverage understanding of statistical techniques and hypothesis development to design tests/ experiments, analyze data, draw conclusions with actionable recommendations to help Yum! its Brands & Franchisees, and external Fortune 100 companies with data driven decision making. 3. Understand the outcomes of complex MMM and attribution models (AI/machine learning) to support Yum! And external stakeholders ...

Overview: As a Data Analyst on our Marketplace Team, you will provide actionable insights and drive data-driven decisions within our product teams. You will work closely with product managers and stakeholders to analyze product performance, user behavior, and market trends, influencing product strategy and roadmap prioritization. This role bridges data analytics and product management to foster innovation and optimization across our product offerings. Responsibilities : Analyze Data: Lead analysis of user engagement metrics, conversion rates, and retention statistics to uncover insights and improvement opportunities. Conduct deep-dive analysis and A/B testing to evaluate product changes and ...

Responsibilities: Experiment Design: Collaborate with cross-functional teams to identify opportunities for A/B testing and develop clear hypotheses. Design well-structured experiments that isolate variables and yield statistically significant results. Implementation and Execution: Configure and implement A/B tests using appropriate testing platforms and tools. Ensure proper tracking and data collection for accurate analysis. Data Analysis and Insights: Analyze test results using statistical methods to identify winning variations and understand the impact of changes. Communicate findings clearly to stakeholders, highlighting actionable insights and recommendations. Continuous Optimization: Mo...

Job Title: Data Scientist Location: Hyderabad (Hybrid, Remote) Job Type: Full-time Experience Level: 3-6 Years Responsibilities: Data Analysis and Modelling: Utilize statistical and machine learning techniques to analyse large datasets and derive actionable insights. Develop predictive models and algorithms to address business challenges and improve decision-making processes. Feature Engineering and Data Preprocessing: Work with raw data to perform data cleaning, transformation, and feature engineering to prepare datasets for analysis. Collaborate with cross-functional teams to gather and understand data requirements. Model Deployment and Monitoring: Implement and deploy machine learning mod...