11 Inferential Statistics Jobs

Don't miss this opportunity to be part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) coming up at Gurgaon, India- to transform the UOP LST Connected Solutions. It is a time to put your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from Customers live operating data. The work done in assembling and developing technical insights will help define the UOP Customer Experience and be the next critical milestone for your career. You will be an integrated network of technical professionals working together to provide outstanding technical insights. Customer Value is the GSC's key result to ensure we generate relevant insights from the extracted data for improved outcomes. Be agile, innovating, and customer focused. Review operations with customers and assisting with defining and quantifying customer benefits. Monitoring different UOP technologies process and identifying areas for improvement/optimization and assets requiring enhanced focus. Provide readily available technical solutions/ work to get the solution to our customers. Initial triage of technical issues with the escalation process to TS. Proactively communicate insights from trends, establish patterns, diagnostic investigations, and solutions to prevent future issues. Ensure upkeep of all solutions by troubleshooting the PM/PTA/PRA/POA/Benchmarking/Future Solutions on time to ensure high on-screen availability of the running solutions. Apply data mining to handle unstructured data to derive technical insights. Perform descriptive and inferential statistics to summarize datasets. Derive problem statement from ambiguous data, create a hypothesis, use analytics technology and tools to test hypothesis and form conclusions. Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, applying automated predictive analytics. The focus is to support product, system, and solution through designing and developing pipelines. Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based/Artificial Intelligence/Machine Learning) and build an operation dashboard for the GSC's sustainability & efficient operation. Align with the Intention of the LST Business and ensure collective commitment for the GSC's Key results. Part of 24*7 Operation of GSCCC Digital Insight. Working in 24*7 Shift is an integral part of this role. Work with GSCCC Operation leader closely to make GSC as Center of Excellence. Additional Candidate Qualifications: Passion for visualizing hidden relationships in technical data with ProSight. Excellent verbal, written, interpersonal communication & effective presentation skills. English language (oral and written). Ability to multi-task. Be flexible to come in shift as a replacement in short notice. Effective presentation, and communication skills. Continuous learning and research-oriented mindset. Ability to think out of the box: Ability to come up with bright ideas and always looking at the next big thing in technology. Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements. Knowledge of DataScience Open Source is added plus. Proficiency in computer applications with emphasis on Data Analytics & Data Science is desirable. Creative approach to process development and customer-centric behavior. Comprehensive analytical, troubleshooting & problems solving skills. Ability to work independently and in a team environment, focusing strongly on delivering SMART data results and identifying alternative solutions when challenges arise from unstructured data. Ability to define the problem with limited information. This role may require global customer-facing and internal/external travel, up to 10% of the time.,

Biostatistician I Job Description: We are seeking a skilled and detail-oriented Statistician to support statistical analyses for clinical research studies. This role involves designing and executing statistical components of protocols, generating randomization codes, and preparing annotated shell data displays. The Statistician will contribute to the development of statistical analysis plans and ensure the accuracy and compliance of data displays with regulatory standards. Statisticians report to the Biostatistics Manager and collaborate closely with cross-functional teams in a clinical research environment. Key Responsibilities: Conduct statistical analyses as outlined in statistical analysis plans , including generating statistical graphics and verifying randomization codes. Prepare statistical sections of clinical study protocols , including sample size calculations . Annotate shell data displays and provide specifications for the structure, content, and algorithms of status and analysis datasets. Perform and supervise quality control (QC) of data displays and inferential statistics. Design, plan, and execute biostatistical components of clinical studies using sound statistical methodology. Develop statistical analysis plans (SAPs) and reporting specifications. Review and validate tables, listings, and figures (TFLs) , tabulation datasets, and derived datasets. Analyze and interpret results from clinical studies independently or under guidance. Maintain project documentation and contribute to cross-functional interactions. Utilize advanced computer skills for documentation and reporting using MS Word, Excel, PowerPoint , and project management tools. Primary Skills: Statistical Analysis: Sample size estimation, inferential statistics, protocol development Programming: Proficiency in SAS and clinical data analysis software Data Standards: Familiarity with CDISC , SDTM , and ADaM Documentation: Annotated CRFs, SAPs, shell displays, and QC records Communication: Effective verbal and written communication in English Secondary Skills: Clinical Research: Understanding of clinical trial methodology and regulatory requirements Quality Assurance: QC of datasets and statistical outputs Collaboration: Cross-functional teamwork and stakeholder engagement Project Organization: File management and audit readiness Mentorship: Support and guidance for junior team members Preferred Qualifications: Master's degree in Statistics or related field Minimum 3 years of experience as a Statistician for Senior level minimum 1 year or EDETEK training and supervisory approval for non-Senior level Proficiency in SAS and similar clinical data analysis tools Experience in preparing statistical components of protocols and SAPs Strong analytical and organizational skill Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role As a Delivery Excellence professional will be responsible for driving the continuous improvement initiatives / projects and implementing QMS for the assigned engagements which includes Creating a continuous improvement culture across the global BPO by fostering the Lean, digital transformation methodologies. Ensure the Continuous Improvement approach across Engagements and Centers Responsible for mentoring Lean six sigma projects using digital transformation & robotic process automation Responsible for ensuring improvement in organization DNA (Training on Lean & Six Sigma) Supports process alignment based on best in class processes Fosters the global sharing of innovation, new methodologies and benchmarking Support Big Data analytics and Cloud Computing services In this role you will play a key role in: Creating a continuous improvement culture across the global BPO by fostering the Lean, digital transformation methodologies. Ensure the Continuous Improvement approach across Engagements and Centers Responsible for mentoring Lean six sigma projects using digital transformation & robotic process automation Responsible for ensuring improvement in organization DNA (Training on Lean & Six Sigma) Supports process alignment based on best in class processes Fosters the global sharing of innovation, new methodologies and benchmarking Support Big Data analytics and Cloud Computing services YOUR PROFILE LSS Blackbelt (internal or external) Blackbelt project experience (only certification will not be sufficient) at least 1 BB project experience- high impact projects FTE savings, additional revenue savings, high savings in terms dollars (DMAIC), along with 4-5 other projects. Should have worked in those projects in the capacity of a project leader, not like he/she only assisted a Blackbelt in the project Data Analysis skill - inferential statistics and basic statistics (BB certified candidates will understand what it means) Delivery excellence : experience and capability in conducting process assessment, identifying improvement opportunities, ideation to implementation cycle, etc. One should definitely have knowledge about RPA technologies (Uipath, Blueprism, AA, AI) WHAT YOU'LL LOVE ABOUT WORKING HERE You can shape your with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. We're committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can . Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal , yoga challenges, or marathons. At Capgemini, you can work on in tech and engineering with industry leaders or create to overcome societal and environmental challenges. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Biostatistician II statistical analyses for clinical research studies as outlined in statistical analysis plans, including creating statistical graphics and verifying randomization codes. They prepare statistical sections of protocols, including sample size calculations, annotate shell data displays, and provide specifications for the structure, content, and algorithms of status and analysis datasets. They perform and oversee quality control (QC) of data displays with inferential statistics. Statisticians report to the Biostatistics Manager. QUALIFICATIONS FOR ESSENTIAL FUNCTIONS Develop, validate, and maintain SAS programs to create analysis datasets, tables, listings, and figures (TLFs) as specified in statistical analysis plans. Design and verify randomization codes to support clinical trial integrity. Prepare statistical sections of protocols, including sample size calculations, and annotate shell data displays. Provide specifications for the structure, content, and algorithms of status and analysis datasets. Perform and oversee quality control (QC) of data displays and analysis datasets to ensure accuracy and compliance with CDISC standards (SDTM, ADaM). Conduct independent validation of datasets created by other programmers or statisticians. Maintain project administration files, including protocols, annotated CRFs, statistical analysis plans, and programming/QC documentation. Manage electronic project directories to ensure organization and accessibility of deliverables. Mentor and guide junior programmers, providing training on SAS programming and clinical data standard Location - Hyderabad and Mumbai EDUCATION AND EXPERIENCE REQUIRED Master&aposs degree in Statistics or equivalent combination of Education and Experience (e.g. a bachelors degree and at least 5 years of industry experience as a biostatistician) required A minimum of 5 years of experience as a statistician is required for the Senior Statistician position. Proficient in SAS and similar clinical data analysis software Show more Show less

Don't miss the opportunity to be part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) located in Gurgaon, India, dedicated to transforming the UOP LST Connected Solutions. This is your chance to leverage your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from live operating data of customers. The insights you develop will play a crucial role in defining the UOP Customer Experience and serve as a significant milestone in your career. As a part of an integrated network of technical professionals, you will collaborate to deliver outstanding technical insights with a focus on generating relevant insights for improved outcomes as the key result of GSC. Your responsibilities will include being agile, innovative, and customer-focused. You will review operations with customers to define and quantify customer benefits, monitor UOP technologies processes for areas of improvement, and provide technical solutions to customers. Additionally, you will proactively communicate insights, ensure the upkeep of solutions, and apply data mining and statistical analysis to derive technical insights from unstructured data. You will work on analyzing historical data, creating hypotheses, testing them using analytics tools, and developing pipelines to support products, systems, and solutions. Collaboration with the team to innovate next-generation BIG DATA monitoring tools and building operational dashboards will be part of your role. Moreover, you will align with the Intention of the LST Business and contribute to the collective commitment of GSC's Key results. Qualifications: Basic Candidate Qualification: - BS degree in Chemical Engineering Additional Candidate Qualifications: - Passion for visualizing hidden relationships in technical data with ProSight - Excellent verbal, written, interpersonal communication & effective presentation skills - Proficiency in English language (oral and written) - Ability to multi-task and be flexible to work in shifts at short notice - Continuous learning and research-oriented mindset with strong analytical skills - Knowledge of DataScience Open Source is a plus - Proficiency in computer applications with emphasis on Data Analytics & Data Science - Creative approach to process development and customer-centric behavior - Comprehensive analytical, troubleshooting & problem-solving skills - Ability to work independently and in a team environment This role may involve global customer-facing and internal/external travel, up to 10% of the time. Join Honeywell, a company dedicated to helping organizations solve complex challenges in automation, aviation, and energy transition. Through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments powered by Honeywell Forge software, we aim to make the world smarter, safer, and more sustainable.,

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy, and that hasn't happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target's global team and has more than 4,000 team members supporting the company's global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win. The People Analytics team's mission is to empower a data-driven approach to HR and people decisions regarding our global workforce. We are uniquely positioned to provide unbiased insights to unlock value and drive outcomes and to enable and influence HR and business strategy. The People Analytics team integrates into the business as strategic HR analytics partners and anticipates and uncovers stated or unstated needs. They use analytics expertise to test, measure, analyze, understand, and answer various business questions. The team provides reporting to help inform on the current state of the business and help facilitate processes at scale. They connect understanding across business and HR to deliver data-driven products and solutions, providing meaningful insights and recommendations. About the role: Our Data Analysts are expected to explore data, technologies, and the application of mathematical techniques to enable business insights. Data analysts accomplish this through a wide variety of skills including data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, and the presentation of recommendations and insight. Analysts work within an agile environment, which requires active participation in ceremonies to accomplish the team's goals. They also develop domain knowledge as they learn about their business area and support applying key data management principles like metadata management, data profiling, and documenting data lineage. Key Responsibilities: - Actively explore data for specific use cases. - Develop expertise in business domain and processes. - Create measurable insights from the data to be shared. - Develop metrics, measurement strategy, reports, and statistics. - Document calculations, code, and adhere to data management principles. - Validate and test data assets of others in the form of peer review. - Explore statistical analysis that could be applied to the data. - Perform descriptive statistics including mean, variance, median, correlation. - Apply insights and testing in partnership with business users. - Be an active participant in team meetings. - Lead agile ceremonies. - Ability to work independently to turn business problems into data solutions. - Serve as a thought leader and mentor on business domain and analytical techniques to elevate team performance. Qualifications: - BA/BS or equivalent experience. - 9+ years" work experience in data analysis or master's level education in business analytics, data science, etc. - Demonstrated leader in knowledge and application of data, reporting, and analytics. - Proficient with various programming languages - SQL, R, Python. - Proficient with relational and non-relational databases. - Strong domain-specific knowledge in Human Resources data and processes. - Prior experience in human resources or talent/people analytics industry. - Strong mathematical and statistical skills. - Excellent communication skills with the ability to speak to both business and technical teams. - Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models, and analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics, and/or equivalent technologies.,

The Global Solution Engineer - Advanced Chemical Engineer - Operations role offers you the opportunity to be a part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) in Gurgaon, India. You will play a crucial role in transforming the UOP LST Connected Solutions by leveraging your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from live operating data of customers. Your work in developing technical insights will define the UOP Customer Experience and mark a significant milestone in your career. As a Global Solution Engineer, you will collaborate with a network of technical professionals to deliver exceptional technical insights that drive Customer Value. Your responsibilities will include reviewing operations with customers, identifying areas for improvement and optimization in UOP technologies processes, and providing technical solutions promptly. You will proactively communicate insights, troubleshoot solutions, and apply data mining techniques to derive technical insights from unstructured data. Moreover, you will be involved in performing descriptive and inferential statistics, analyzing historical data, and designing and developing pipelines to support products, systems, and solutions. Innovation will be a key aspect of your role as you work on next-generation BIG DATA monitoring tools and operation dashboards using Analytics, Artificial Intelligence, and Machine Learning. Aligning with the Intention of the LST Business and ensuring collective commitment to the GSC's Key results will be essential. This position requires you to have experience in designing/operating UOP Technology units, effective communication skills, and a passion for visualizing hidden relationships in technical data. A BS degree in Chemical Engineering is a basic qualification for this role. Additionally, being flexible to work in a 24*7 shift, having strong analytical skills, and a continuous learning mindset are crucial attributes for success in this role. Join us in this exciting opportunity to contribute to the success of the GSCCC Digital Insight operations and work towards making GSC a Center of Excellence.,

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis and exploration are key skills required for this role. You should be adept at developing code that enables reproducible data analysis. Familiarity with AWS services like Sagemaker, Lambda, Glue, Step Functions, and EC2 is expected. Knowledge of data science code development and deployment IDEs such as Databricks, Anaconda distribution, and similar tools is essential. You should also possess expertise in ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis. Your skills should include proficiency in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. Experience with end-to-end model deployment and production for at least 1 year is required. Familiarity with Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker is preferred. Basic knowledge of deep learning algorithms like MaskedCNN, YOLO, and visualization and analytics/reporting tools such as Power BI, Tableau, Alteryx would be advantageous for this role.,

As a Colleague Experience Survey Analyst, you will have a significant impact on enhancing employee engagement and experience through data-driven insights and strategic planning. Your role will involve collaborating across various functions to create, implement, and analyze feedback mechanisms that drive organizational transformation and cultivate a culture of excellence. Your responsibilities will include leading the entire survey research process, from developing questionnaires to analyzing data and generating reports. By applying statistical techniques like inferential statistics, correlations, and regression analysis, you will extract valuable insights that guide actionable steps based on employee feedback. Additionally, your expertise will be instrumental in supporting HR digital transformation initiatives and aligning resources to meet organizational needs effectively. The ideal candidate for this role should possess a strong background in survey analytics, with hands-on experience using platforms like Glint, PeakOn, or Qualtrics. Proficiency in SQL, Python, or similar data querying tools is essential, along with skills in benefits tracking, change management, and continuous improvement methodologies. Excellent problem-solving abilities, decision-making skills, and presentation capabilities are crucial for success in this position. Furthermore, candidates with experience in agile team environments and a proactive work approach will stand out. Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint, is highly desirable. Business acumen and the ability to translate data into strategic insights and recommendations will be key assets in this role. In terms of qualifications, a Bachelor's degree is required, while a Master's degree in any discipline is preferred. Critical capabilities such as risk and controls, strategic thinking, change and transformation, digital & technology acumen, and role-specific technical competencies may be assessed as part of the evaluation process.,

You will be responsible for contributing to the reliability, scientific quality, and optimization of project support throughout the entire process from target identification to process development. This will involve performing statistical analyses of data generated in the laboratories using R and potentially other programming languages to generate statistical reports. Additionally, you will play a key role in the development and maintenance of statistical end-user tools. Your expertise will be utilized in representing statistics within various scientific or technology working groups and cross-functional initiatives. To excel in this role, you should possess a strong background in non-clinical statistics as applied to biopharmaceutical development. Your proven experience in industrial statistics, including descriptive and inferential statistics, statistical process control, design of experiments, multivariate data analysis (such as PCA, PLS, and related methods), and statistical modeling and simulation will be crucial. A sound understanding of statistical concepts and techniques, such as predictive modeling and repeated measure ANOVA, is essential. Additionally, familiarity with pharmaceutical research and development, particularly in in-vitro testing, is desirable. Knowledge of CMC regulatory guidelines from organizations such as EMA, FDA, and ICH Quality, as well as QbD principles, will be valuable in this role. Your ability to prepare statistical analyses for regulatory dossiers and ensure compliance with relevant guidelines will be pivotal to the success of the projects you are involved in.,

As a Senior Data Scientist with 5+ years of experience, you will be responsible for designing and implementing models, mining data for insights, and interpreting complex data structures to drive business decision-making. Your expertise in machine learning, including areas such as NLP, Machine vision, and Time series, will be essential in this role. You will be expected to have strong skills in Model Tuning, Model Validation, Supervised and Unsupervised Learning, and hands-on experience with model development, data preparation, training, and inference-ready deployment of models. Your proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis will help in developing code for reproducible analysis of data. Experience with AWS services like Sagemaker, Lambda, Glue, Step functions, and EC2 is necessary, along with knowledge of Databricks, Anaconda distribution, and similar data science code development and deployment IDEs. Your familiarity with ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis will be highly valued. You should have expertise in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. End-to-end model deployment and production experience of at least 1 year is required, along with a good understanding of Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker. Basic knowledge of deep learning algorithms such as MaskedCNN, YOLO, and familiarity with Visualization and analytics/Reporting Tools like Power BI, Tableau, and Alteryx will be considered advantageous for this role.,