15 Anova Jobs

Job description Job Summary We are seeking a skilled In Vitro Statistician with 5 - 10 years of experience to support our research and development teams in statistical analysis of in vitro studies. The ideal candidate will be responsible for designing experiments, analyzing data, and providing statistical insights to support decision-making in pharmaceutical, biotechnology, or life sciences research. Key Responsibilities: Design, develop, and analyze in vitro study experiments, ensuring statistical rigor and accuracy. Apply appropriate statistical models and methodologies for data interpretation. Work closely with scientists, biologists, and researchers to provide statistical guidance in study design and result evaluation. Utilize statistical software (e.g., SAS, R, JMP, or Python) to conduct data analysis, visualization, and reporting. Validate and verify data integrity, ensuring compliance with regulatory guidelines (FDA, ICH, GLP). Develop and review statistical analysis plans (SAPs), study protocols, and technical reports. Support regulatory submissions by preparing statistical documentation and reports. Stay updated with the latest statistical methods and best practices in in vitro research. Required Qualifications & Skills: Masters or Ph.D. in Statistics, Biostatistics, Bioinformatics, or a related field. 5 - 10 years of experience in statistical analysis of in vitro studies, preferably in the pharmaceutical, biotechnology, or life sciences sector. Strong knowledge of experimental design, regression models, ANOVA, DOE, and multivariate analysis. Proficiency in statistical software (SAS, R, JMP, Python, or equivalent). Experience with data visualization, trend analysis, and predictive modeling. Understanding of regulatory requirements and compliance standards (FDA, ICH, GLP). Excellent communication skills to present findings to cross-functional teams. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience in bioassays, pharmacokinetics, biomarker analysis, or toxicology studies. Familiarity with machine learning and AI-based statistical modeling. Knowledge of clinical and preclinical statistical applications.

As a member of the Home team within the Product Analytics and Experimentation organization at Expedia Group, you will have the opportunity to support the Product team by providing valuable insights and measurements to assist in decision-making regarding product features. Your role will involve extracting and integrating data from various sources, designing and recommending experiments, building models, developing data pipelines, collaborating with stakeholders, and delivering clear data stories and visualizations to support decision-making processes. Key Responsibilities: - Extract and integrate data from multiple sources to support model building and analytics. - Design and recommend both simple and complex experiments to address business questions. - Build basic models and select appropriate data structures and formats. - Develop and maintain data pipelines and workflows to support modeling tasks. - Collaborate with stakeholders to refine project scope and requirements. - Apply business knowledge to shape modeling questions and guide decisions. - Deliver clear and concise data stories and visualizations to support decision-making. - Automate recurring reporting and dashboarding tasks across multiple platforms. - Share documentation, code, and project artifacts with relevant audiences. - Communicate project goals, methods, caveats, and insights to technical and non-technical stakeholders. - Collaborate with analytics peers through brainstorming, peer review, and knowledge sharing. - Train and enable stakeholders to use dashboards and self-service tools. - Troubleshoot and resolve data issues and ensure efficient query and pipeline performance. - Uphold best practices for code sharing and documentation using tools like GitHub, IEX, and Confluence. - Continuously seek feedback to improve current and future projects. Experience and Qualifications: - 1-2 years of experience in a data analytics role for Bachelors/Masters graduates, or 2+ years in a comparable professional setting. - Proven track record of delivering data-driven insights that led to business impact. - Intermediate proficiency in R, Python, or SQL for analyzing and visualizing large datasets. - Competent in extracting, transforming, and combining data from multiple sources. - Basic understanding of probability, descriptive statistics, and experimental design. - Strong communication and collaboration skills with the ability to tailor insights to different audiences. - Demonstrated critical thinking, curiosity, and proactive problem-solving skills. - Ability to work iteratively, independently, and adjust based on feedback and findings. Join us at Expedia Group and be a part of shaping the future of travel with our innovative solutions and inclusive culture.,

The Senior Biostatistician plays a pivotal role in the research and development of clinical projects by applying statistical methods and providing insights through data analysis. This position requires expertise in R programming and a deep understanding of statistical techniques such as Analysis of Variance (ANOVA) and Analysis of Covariance (ANCOVA). The Senior Biostatistician will not only collaborate with various teams to ensure compliance with regulatory standards but also contribute to the development of statistical analysis plans and the interpretation of results. Given the importance of accurate statistical evaluations in clinical trials, this role is critical to the decision-making processes that impact patient outcomes and the overall success of pharmaceutical developments. You will lead projects and mentor junior biostatisticians, making your contribution vital to enhancing the organization's capabilities and ensuring the integrity of research findings. Develop and implement statistical analysis plans for clinical studies. Perform statistical analyses using R, focusing on ADaM, ANOVA, and ANCOVA methodologies. Collaborate with clinical research teams to define analysis objectives and timelines. Create and validate datasets to ensure accuracy and compliance with regulatory standards. Generate and interpret statistical results to contribute to clinical study reports. Work closely with data managers to design data collection tools and processes. Conduct exploratory data analyses and prepare visualizations to communicate findings effectively. Participate in protocol development and provide statistical input on study design. Mentor and supervise junior statisticians and biostatisticians. Conduct peer reviews of statistical analyses and reports executed by peers. Stay current with biostatistics trends, methodologies, and regulatory guidance. Present statistical findings to stakeholders and at scientific meetings. Assist in regulatory submissions by preparing statistical sections of FDA submissions and other documents. Participate in interdisciplinary project meetings and collaborate with cross-functional teams. Continuously improve statistical practices and methodologies within the team. Required Qualifications Master's or PhD in Biostatistics, Statistics, or related field. Minimum of 5 years of experience in a biostatistical role within the pharmaceutical or biotechnology industry. Proficiency in R programming for statistical computing and data visualization. Experience with ADaM data standards and regulatory guidelines. Strong knowledge of ANOVA, ANCOVA, and other statistical methodologies. Excellent understanding of clinical trial design and regulatory requirements. Proficiency in other statistical software such as SAS is highly desirable. Exceptional analytical and problem-solving skills. Ability to communicate complex statistical concepts to non-statistical audiences. Experience in leading statistical analyses for multiple clinical projects simultaneously. Strong attention to detail and commitment to data integrity. Demonstrated ability to work collaboratively within a team environment. Experience mentoring or training junior staff members. Published research or contributions to scientific literature is a plus. Excellent organizational and time management skills. Strong interpersonal skills and ability to work in a diverse environment.,

Become part of our team! Team introduction Department of Data and Analytics has its hub at DTICI Bengaluru India catering to data and analytics requirements for Daimler Truck. we are 150+ strong team comprising of Data engineers, Data scientists, AI engineers and Analysts What makes the team/department special Highly energetic and young team that solves business problems that have the potential to define we build our trucks Good Communication & presentation skills. Strong Knowledge of Azure Components Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks Master in Statistics/Machine Learning/Economics/ Big Data analytics (Full -Time) Strong experience in object-oriented programming using Python & PySpark Experience developing, training, and evaluating (supervised/unsupervised) machine learning models such as linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection Familiar with statistical distributions, correlation analysis, descriptive statistics, ROC, F1-Score, etc. Proficiency in Python, Scikit-learn and ML libraries. Strong understanding of statistical modeling and data preprocessing. Should have had at least 2 to 3 use cases where the candidate would have gained the experience of end to end development of Data science solution and deployment Problem definition - white boarding Hypothesis building and testing and Exploratory data analysis Data engineering to curate data for model Training, testing, deployment and MLops Job Title: Data Scientist (Iterative Model Development Traditional ML) Job Summary: We are seeking a Data Scientist with expertise in building and optimizing traditional ML models, specifically within the automobile domain. The ideal candidate will have strong experience in classical ML algorithms, survival models, time series, statistical modelling, and deployment of predictive models. Experience with streaming data and telematics data solutions is highly desirable. Key Responsibilities: Work with Daimler s Businesses and Enabling Areas to support key business functions Contribute to storyboarding our results, support recommendations for an executive-level audience and produce leadership-quality deliverables Develop and optimize traditional ML models (regression, decision trees, SVM, XGBoost, etc.) with strong knowledge on Hypothesis testing. Perform feature engineering and dataset preprocessing for model training. Build scalable machine learning pipelines for real-world applications. Work on time series forecasting, anomaly detection, recommendation systems, etc. Optimize model performance using hyperparameter tuning and cross-validation. Deploy ML models into production using cloud and on-premises solutions. Collaborate with cross-functional teams to integrate ML models into business processes. Analyze and interpret telematics data to derive actionable insights. Develop solutions for streaming data processing and real-time analytics.

The position will be responsible for the consumer testing program and substantiation/defense of big impact, consumer-relevant product claims by interacting in a multidisciplinary business environment, providing a critical link between the R&D, Legal and marketing teams. The candidate will preferably have product research, statistics, sensory, and claims substantiation experience. Understanding cosmetic products benefits, attributes, and key category drivers to make compelling and competitive claims across all personal care verticals. Good knowledge about various instrumental evaluation methodologies for claim substantiation purpose (CK for skin, Diastron for hair) Ability to garner insights and inference out of technical documents like clinical reports and in vitro reports to substantiate claims technically. Conducting gap analysis to identify new unmet consumer needs and key opportunity spaces for spotting new product trends. Support in coordinating consumer studies - qualitative and quantitative research according to best practice guidelines and helping to draw out clear and actionable insights and recommendations Knowledge of advance statistics is a must (eg: ANOVA, T Test), Hands on experience of working on SPSS, Mini Tabs, GraphPad Prism Review historical market, consumer, and sensory data to help identify opportunities for superior products and claims, providing the R&D and marketing teams with clear guidance on how to deliver these. Understanding of communication mix, reviewing of artwork, and technical content for other forms of communication (TVC, print advertisement, etc) Ability to defend queries rose on our product/advertisements by ASCI and international regulatory bodies. Develop the consumer testing, claims support strategy, and claims support dossiers for ASCI and future regulatory requirements. Have the ability to transform product attributes into meaningful visualizations, demos, and claims that make our technologies stand out vs. competit ors

Job Description : Job Title: Senior Executive - Analytical (R&D) About the Function: Our Supply Chain and Manufacturing team are problem-solvers, sourcing, producing, and delivering our much-loved brands to delight customers around the globe. Over half of Diageo s 30,000+ people work in Supply Chain and Manufacturing. It s an intricate and sophisticated operation that s the product of logistical, manufacturing, and technical collaborations. Our teams in 100 sites in over 30 countries cover production facilities, supplier relationships, customer collaborations and third-party agreements. We re committed to realising our Society 2030: Spirit of Progress goals, to protect the environment and support our farmers and suppliers. Whatever your skills and experience, we ll help you to thrive in our inclusive culture. Role Responsibilities: Role Purpose: This role is responsible for supporting analytical R&D projects related to alcoholic beverages. It includes to support and conduct precise chemical and instrumental analysis of raw materials, intermediates, and finished liquids in alignment with defined test methods. The position also to supports senior analysts in innovation and research initiatives. Qualifications & Experience: Education : MSc in Analytical Science / Chemistry / Organic Chemistry Experience : Minimum 1-2 years of experience in chemical and instrumental analysis of food, beverage, alcoholic beverages. Key Technical Responsibilities: Perform chemical analysis on raw materials, intermediates, and finished liquids using validated methods Assist and support in method development, verification, and validation Core Technical Competencies: Instrumental Techniques: Basic understanding of the operation and data interpretation of: GC-FID / GC-ECD/GC-MS - For volatile compounds, congeners, fusel oils HPLC - For organic acids, polyphenols, flavor-active compounds UV-Vis Spectroscopy - For color, % transmittance, phenolic profiling Hands-on experience in general laboratory instrumentation: pH meter, Conductivity meter, Turbidity meter, etc. Classical Wet Chemistry Techniques: Titration for acidity, sulfur content, etc. Alcohol content analysis using pycnometer, hydrometer, or digital density meter Analytical Methodology: Sound knowledge of: Method verification and development Instrument qualification (IQ/OQ/PQ) Calibration and measurement uncertainty Basic application of statistical techniques (e.g., ANOVA, control charts) Data Handling & Reporting: Understanding of data analytics and statistical tools for research applications Clear, structured reporting and presentation of analytical findings Accurate and timely documentation of results as per regulatory and internal standards Leadership & Behavioral Expectations: Organizational Impact : Understands role priorities and delivers as per direction from manager. Supports team-level goals and process improvements. Decision-Making & Problem Solving: Anticipates analytical challenges and recommends practical, data-based solutions. Integrates technical knowledge with insights to improve outcomes. Communication & Collaboration : Clearly articulates scientific findings in verbal and written form. Engages cross-functional teams through knowledge sharing and training initiatives. Self-Management & Ownership : Independently plans workload and seeks guidance when needed. Demonstrates accountability, precision, and curiosity in laboratory work. Flexible Working Statement: Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you re supported from day one. Diversity statement: Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this. We embrace diversity in the broadest possible sense. This means that you ll be welcomed and celebrated for who you are just by being you. You ll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more. Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world. Feel inspired? Then this may be the opportunity for you. If you require a reasonable adjustment, please ensure that you capture this information when you submit your application. Worker Type : Regular Primary Location: Bangalore Technical Centre Additional Locations : 2025-07-01

Job Description : Job Title: Assistant Manager - Research & Development About the Function: Our Supply Chain and Manufacturing team are problem-solvers, sourcing, producing, and delivering our much-loved brands to delight customers around the globe. Over half of Diageo s 30,000+ people work in Supply Chain and Manufacturing. It s an intricate and sophisticated operation that s the product of logistical, manufacturing, and technical collaborations. Our teams in 100 sites in over 30 countries cover production facilities, supplier relationships, customer collaborations and third-party agreements. We re committed to realising our Society 2030: Spirit of Progress goals, to protect the environment and support our farmers and suppliers. Whatever your skills and experience, we ll help you to thrive in our inclusive culture. About the role: This role is responsible for executing and managing analytical R&D projects related to alcoholic beverages. It includes conducting precise chemical and instrumental analysis of raw materials, intermediates, and finished liquids in alignment with defined test methods, Good Laboratory Practices (GLP), and ISO 17025 requirements. The position also supports senior analysts in innovation and research initiatives and contributes to technical capability building across stakeholders through training and knowledge sharing. Role Responsibilities: Key Technical Responsibilities: Conduct and support analytical R&D projects for product and process development Perform chemical analysis on raw materials, intermediates, and finished liquids using validated methods Ensure compliance with GLP and ISO 17025 in all laboratory operations Assist in method development, verification, and validation Train internal teams and stakeholders on analytical techniques and data interpretation Core Technical Competencies: Instrumental Techniques: Proficient operation and data interpretation of: GC-FID / GC-ECD/GC-MS - For volatile compounds, congeners, fusel oils HPLC- For organic acids, polyphenols, flavor-active compounds UV-Vis Spectroscopy - For color, % transmittance, phenolic profiling Strong hands-on experience in general laboratory instrumentation: pH meter, Conductivity meter, Turbidity meter, etc. Classical Wet Chemistry Techniques: Titration for acidity, sulfur content, etc. Alcohol content analysis using pycnometer, hydrometer, or digital density meter Analytical Methodology & Validation: Sound knowledge of: Method development, verification, and validation Instrument qualification (IQ/OQ/PQ) Calibration and measurement uncertainty Determining LOD/LOQ Chemometric tools and application of statistical techniques (e.g., ANOVA, control charts) Data Handling & Reporting: Understanding of data analytics and statistical tools for research applications Clear, structured reporting and presentation of analytical findings Accurate and timely documentation of results as per regulatory and internal standards Leadership & Behavioral Expectations: Organizational Impact: Understands role priorities and delivers as per direction from manager. Supports team-level goals and process improvements. Decision-Making & Problem Solving: Anticipates analytical challenges and recommends practical, data-based solutions. Integrates technical knowledge with insights to improve outcomes. Communication & Collaboration: Clearly articulates scientific findings in verbal and written form. Engages cross-functional teams through knowledge sharing and training initiatives. Self-Management & Ownership: Independently plans workload and seeks guidance when needed. Demonstrates accountability, precision, and curiosity in laboratory work. Experience / skills required: Education: PhD or MSc in Analytical Science / Chemistry / Organic Chemistry Experience: Minimum 5 years of experience in chemical and instrumental analysis in the food and beverage or allied industries

Hi all, We are hiring for the role Data Scientist AI ML Experience: 6 -9 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. Skills Needed: Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection. In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc. Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts. Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack Good to have experience in model deployment to cloud/on-prem. Good Communication & presentation skills. If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Job Summary: We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. This role involves transforming complex business questions into actionable value generation insights and predictive models. Key Responsibilities: Problem Definition: Partner with stakeholders to translate business goals into clear, data-focused questions and define project scope and success metrics. Data Collection and Preparation: Gather, clean, and preprocess data from diverse sources, ensuring quality and consistency, and engineer features to enhance model performance. Exploratory Data Analysis (EDA): Use statistical methods and visualization to uncover trends and validate assumptions, summarizing key insights for business alignment. Model Building and Evaluation: Select, train, and refine models suited to the business problem, evaluating performance with relevant metrics and documenting model assumptions. Deployment and Monitoring: Work with engineering teams to deploy models, establish performance monitoring, retrain as necessary, and incorporate feedback to improve accuracy. Requirements: Bachelor s/Master s in Data Science, Statistics, Computer Science, or related field. Experience in end to end model development to deployment and performance monitoring. Strong communication skills to convey insights to technical and non-technical audiences. Skills Needed: Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection. In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc. Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts. Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack Good to have experience in model deployment to cloud/on-prem. Good Communication & presentation skills.

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. This role is part of the Home team within the Product Analytics and Experimentation organization. The team supports the Product team by providing insights and incrementally measurement to help inform decisions on product features. Our team is looking for an established performer who consistently applies analytical capabilities, principles, and playbooks to solve business problems, with moderate guidance and direction. The role involves regular interaction with stakeholders up to the Senior Manager level. In this role, you will: Extract and integrate data from multiple sources to support model building and analytics. Design and recommend both simple and complex experiments (e.g., A/B, pre/post, causal impact) to address business questions. Build basic models (e.g., linear, logistic, clustering) and select appropriate data structures and formats. Develop and maintain basic data pipelines and workflows that support modeling tasks. Work with stakeholders in an iterative, collaborative process to refine project scope and requirements. Apply business knowledge to shape modeling questions, select features, and guide decisions. Deliver clear and concise data stories and visualizations that support decision-making. Automate recurring reporting and dashboarding tasks across multiple platforms (web, app, geo). Share documentation, code, and project artifacts (e.g., executive summaries, tech docs, visualizations) with relevant audiences. Communicate project goals, methods, caveats, and insights to both technical and non-technical stakeholders. Collaborate openly with analytics peers through brainstorming, peer review, and knowledge sharing. Train and enable stakeholders to use dashboards and self-service tools; promote data literacy. Troubleshoot and resolve data issues and ensure efficient query and pipeline performance. Uphold best practices for code sharing and documentation using tools like GitHub, IEX, and Confluence. Continuously seek feedback and apply it to improve current and future projects. Experience and qualifications: Experience 1-2 years of experience in a data analytics role for Bachelor s/Master s graduates (preferably in Mathematics or a scientific discipline), or 2+ years in a comparable professional setting. Proven track record of delivering data-driven insights and recommendations that led to business impact or performance improvements. Technical Skills Intermediate proficiency in R , Python , or SQL for analyzing, structuring, and visualizing large datasets. Competent in extracting, transforming, and combining data from multiple sources. Able to build basic models (e.g., linear/logistic regression, clustering) and support them with appropriate data formats. Experienced in writing efficient, reusable code and creating basic data pipelines. Familiarity with tools like GitHub, IEX, and Confluence for code sharing and documentation. Working knowledge of query optimization and data quality best practices. Statistical & Analytical Knowledge Basic understanding of probability, descriptive statistics (e.g., ANOVA, regression), and frequentist concepts. Ability to design and interpret experiments (e.g., A/B, pre/post, causal impact). Capable of framing business problems as analytical tasks and selecting suitable methodologies. Business & Domain Knowledge Strong business acumen with the ability to align analytics to strategic objectives. Understanding of key data sources, their business context, and appropriate use in modeling. Ability to identify relevant features and guide model design decisions. Communication & Collaboration Strong communication and influencing skills, with experience tailoring insights to both technical and non-technical audiences. Skilled in creating clear, audience-appropriate data visualizations, with awareness of inclusive design principles. Collaborative team player open to feedback, peer review, and knowledge sharing. Mindset & Problem Solving Demonstrated critical thinking and curiosity with a proactive, solutions-focused approach. Comfortable working iteratively and independently, adjusting based on feedback and findings. Strong skills in information gathering, problem solving, and continuous learning. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Groups family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert , CarRentals.com , and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. . Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

A Day in the Life As a member of GO SC group you will collaborate closely with all the necessary stakeholders on the assigned tasks and projects including your counterparts in the US to ensure timely and successful completion of the same The Prin. Manufacturing Engineer will closely collaborate with cross-functional project teams within MEIC and GOUs. This role involves leading medium to high complexity supplier transfers and optimization projects, focusing on vertical integrations, cost optimizations and supply chain management. The incumbent will be instrumental in fostering business engagements, enhancing value through process improvements, and adopting best practices. A Day in the Life Be a part of the Medtronic Engineering and Innovation center (MEIC) by applying your skills to the growth and development of Supplier Optimization team under Global supply mangement group team within MEIC. As a member of GO SC group you will collaborate closely with all the necessary stakeholders on the assigned tasks and projects including your counterparts in the US to ensure timely and successful completion of the same The Prin. Manufacturing Engineer will closely collaborate with cross-functional project teams within MEIC and GOUs. This role involves leading medium to high complexity supplier transfers and optimization projects, focusing on vertical integrations, cost optimizations and supply chain management. The incumbent will be instrumental in fostering business engagements, enhancing value through process improvements, and adopting best practices. Validation Processes: Conduct Operational Qualification (OQ) and Performance Qualification (PQ) processes. Assist in developing Master Validation Plans, including process flow, OQ, and PQ. Statistical Analysis: Perform CPK (Process Capability Index) and ANOVA (Analysis of Variance) studies. Conduct criticality analysis to ensure process reliability and quality. Measurement System Analysis (MSA): Perform GRR (Gage Repeatability and Reproducibility) studies. Identify and implement appropriate types of MSA. Risk Management: Conduct PFMEA (Process Failure Mode and Effects Analysis) and calculate Risk Priority Numbers (RPN). Documentation: Develop and maintain work instructions, ensuring they are clear and comprehensive Must-Have: Minimum of 15 years of relevant experience. Minitab software Hands-on experience in manufacturing Engineering projects Familiarity with Regulated manufacturing environment Excellent interpersonal, influence management, and conflict resolution skills. Strong written, verbal, and presentation skills. Effective planning and organization skills, including the ability to work against multiple objectives simultaneously. Bachelor of Engineering in Mechanical or related (Electircal, electronics) Engineering field. Nice to Have: Project management skills with a track record of managing projects to schedule, budget, and scope. Masters degree Manufacturing process knowledge GDT Certification Benefits Compensation About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission to alleviate pain, restore health, and extend life unites a global team of 95,000+ passionate people. We are engineers at heart putting ambitious ideas to work to generate real solutions for real people. From the RD lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity here

Data science on GCP ,Generative AI Fundamentals, Machine Learning Solution Design Languages - R/Python Modeling - Statistical Analysis, ANOVA, Time series Analysis, Regression Analysis Libraries - scikit learn, matplotlib, numpy scipy

About OJ Commerce: OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States. As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. Responsibilities: • Develop, validate, and implement advanced statistical models, including mixed effects models, structural equation modelling, generalized additive models (GAMs), Bayesian modelling, and hierarchical models to address complex business challenges. • Analyze large datasets using statistical techniques to extract actionable insights and trends. • Collaborate with stakeholders to understand business needs and translate them into analytical solutions. • Present findings and recommendations clearly to both technical and non-technical audiences. • Stay current with industry trends, statistical methodologies, and best practices in data analysis. • Document methodologies and results, ensuring transparency and reproducibility of models. • Conduct exploratory data analysis to inform model development and improve accuracy. • Participate in continuous improvement initiatives to enhance modelling processes and tools. Qualifications: • Masters degree or above in Statistical Sciences. • Proven experience in statistical modeling, data analysis, and predictive analytics. • Very strong proficiency in statistical software (e.g., R, Python, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI). • Strong understanding of advanced statistical techniques, including regression analysis, time series forecasting, mixed effects models, structural equation modeling, generalized linear models (GLMs), machine learning algorithms (e.g., decision trees, random forests, support vector machines), and Bayesian inference. • Excellent problem-solving skills and attention to detail. • Strong communication skills, with the ability to convey complex statistical concepts to diverse audiences. • Experience with data management and database systems (e.g., SQL) is a plus. What we Offer • Competitive salary • Medical Benefits/Accident Cover • Flexi Office Working Hours • Fast paced start up