541 Statistical Analysis Jobs - Page 20

Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and growing fraud threats? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify? Our mission in Customer Trust and Partner Support (CTPS) is to make Amazon.com the safest place to transact online. CTPS safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, CTPS designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. As a Business Analyst in our Customer Trust & Partner Support (CTPS) division, youll be at the forefront of transforming raw data into actionable intelligence that shapes our organizations future. In this pivotal role, youll spearhead the expansion of our forecasting solutions across Customer Trust operations, working alongside data scientists, business intelligence engineers, and program managers to uncover game-changing insights through advanced statistical analysis and data visualization techniques. Your analytical prowess will be essential in identifying opportunities to enhance operational efficiency and drive business impact. Youll leverage a diverse array of tools, data sources, and analytical methodologies to tackle high-impact business challenges, translating complex findings into clear, actionable recommendations. As a strategic partner to cross-functional teams, youll analyze forecast variances, optimize operational processes, and ensure delivery against ambitious director level organizational goals. Were seeking a dynamic professional who can independently navigate complex problems and communicate sophisticated insights to non-technical audiences with confidence and clarity. Your ability to transform data into compelling narratives will be crucial in driving strategic decision-making across the organization. This high-visibility role offers unprecedented influence and directly impacts our bottom line, making you an essential player in our continued success and growth. If youre passionate about turning data into decisions and challenges into opportunities, join us in revolutionizing our customer trust operations. 3+ years of business or financial analysis experience 3+ years of tax, finance or a related analytical field experience 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel Masters degree in business or analytical discipline Experience with data visualization using Tableau, Quicksight, or similar tools

The purpose of the Research Scientist, Japan Value, Evidence and Outcomes (Japan VEO) is to deliver valuable evidence that addresses health outcomes issues, maximizes product value in Lilly portfolio, and contributes to improvement of people s health by demonstrating scientific leadership in evidence strategy development, planning, HEOR/RWE study development and execution. The research scientist will provide strategic insight/leadership into the health outcomes (HO) evidence needs (eg, health economics, patient reported outcomes, real world evidence) for Lilly s portfolio. The scientist will integrate their knowledge of health outcomes disciplines, therapeutic area knowledge of disease states in the Lilly portfolio, understanding of drug development and commercialization, and local market knowledge in the role to deliver valuable evidence, partnering with global VEO/VEO International as we'll as local functions. Research project ownership and execution is required. The scientist may have duties ranging from developing and articulating product value propositions, patient reported outcomes strategies, real world evidence generation, and differentiation strategies using HO research depending on the individual assignment. Primary Responsibilities: This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. Consult with your supervision regarding your actual job responsibilities and any related duties that may be required for the position. Strategy Develops and oversees local HEOR/RWE strategy for compounds in the Lilly portfolio in Japan in the relevant therapeutic area(s) that is aligned with local product strategy and global/regional HEOR/RWE strategy. Drives sustained integration of HEOR/RWE from early clinical development through commercialization depending on focus of the assigned project or therapeutic area. Formulates and drives Patient Focused Outcome, Real World Evidence, and/or economic value strategies for priority products. Provides strategic direction to address complex health outcomes challenges. Study Development and Execution Leads local HEOR/RWE evidence planning and execution for individual compounds/products across the development and commercialization lifecycle to support drug development, optimize pricing and access, and maximize post-launch product value in collaboration with local cross functional team and/or global VEO/VEO International. Develops and designs HEOR/RWE studies that can address important gaps for the products, is scientifically robust and feasible, and meet relevant quality standards. Applies technical expertise appropriate for the role (eg, scope or depth in statistical analysis, economic modeling, clinical trials, PFO development, observational/ epidemiologic research methodologies) within a therapeutic area. Ensure sustainable delivery of planned evidence in a timely manner. Organizational Leadership and Influence Demonstrate scientific leadership in evidence strategy, planning, study development and execution. Links technical expertise with business acumen and establishes and maintains strategic relationships with key internal and external decision makers. Effectively integrates with and influences key business partners and external stakeholders to achieve goals and outcomes Promote strategic integration into global for both projects and functional activities. Can apply unprecedented innovative approaches with taking a risk to deliver best results. Information Dissemination Effectively communicates HO information to internal business partners, the scientific community, and customers. Drives research dissemination strategies and leads research communication efforts including abstracts, posters, podium presentations, promotional materials, and manuscripts. Plan for, align, and drive application of results/ deliverables to increase the impact of HO work. Actively participates in shared learning opportunities to effectively share knowledge and experience (both positive and negative) of management tools and other learnings with colleagues and peers, locally and internationally. Prioritized capability/experience : Capability/experience to execute observational research (eg, database research), from protocol development to statistical analysis and publication. Basic statistical analysis skill using available RWD database Strongly preferred skill: statistical analysis programming skill (eg R) Target Literature Review Expected types of tasks to be covered/supported by LCCI scientists. Statistical analysis of internally available data using IHD or R program as a part of observational study or to respond to request from internal (to support internal decision making). Support for protocol development and publication (manuscript, disclosure at academic conf). Target literature review to support evidence planning and research planning. Implementation or support of entire observational study execution Environmental Awareness Maintains awareness of significant developments in disease states in the Lilly portfolio and HO field including current HO methodologies and applications, availability in various real world data, relevant regulations, and other issues as appropriate for the position. Anticipates and evaluates future market needs and trends for HO information within pertinent therapeutic area and geography of interest. Monitors and influences internal and external environmental factors that shape and impact generation and use of HEOR/Rwe'research. Maintains a presence and relationship with the research community related to the relevant areas. Project Management Partner with Project Managers in Japan VEO to ensures projects meet timelines, budget, and scope by coordinating research efforts with cross-functional team and external collaborators as appropriate. Minimum Qualification Requirements: An advanced degree, including Ph.D., M.D., or PharmD/masters degree with relevant experience in an appropriate discipline (eg, economics, epidemiology, health administration, health services, medicine, pharmacoeconomics, psychology, statistics, or other relevant sciences) will generally be required, although significant previous training and experience in designing and conducting research and disseminating the results in the areas of health economics, health outcomes, disease management, and/or population health may substitute for the formal degree requirement. Strong comprehension and communication skills including the ability to translate and disseminate complex scientific information in a clear and concise manner Strong business English and Japanese skill Demonstrated ability to influence and collaborate within and across teams The ability to think and act globally with a customer focus and a solution orientation. Other Information/Additional Preferences: Knowledge and experience of health care systems in major countries as appropriate for the position requirements. Understanding of and experience with clinical settings and clinical research. Technical and analytic capabilities in the areas of economic modeling, economic evaluation, burden of disease, epidemiology, statistics, health care policy etc.

Provide remote analytical support to PPL sites, including review of analytical data and preparation of documents such as specifications, test methods, and protocols. Upload documents for review in ENSURE and initiate QMS elements in TrackWise/eDMS. Prepare and review stability protocols and reports, and perform stability data trending and analysis B. Pharm / M. Pharm / M.Sc. Chemistry / B.Sc. Chemistry or equivalent Review of analytical data generated in the analytical lab (QC/AS) including but not limited to Cleaning verification data, IPC , raw materials, intermediates, finished products, cleaning verification/validation, stability, and method validation data according to cGMP, GDP, in a timely manner. Review of reports for accuracy and completeness. Reports may include but not limited to: method validation reports, stability reports, lab equipment and instrumentation Calibration and Preventive Maintenance (PM) Reports, etc Knowledge in analytical data review in Empower/ Chromeleon / Open-Lab / Lab-Notebooks / LIMS / QMS module. Analytical Method Development and Documentation: Create and revise working test methods in compliance with compendia requirements and laboratory practices to support analytical testing. Change Request Forms (CRF) Management: Routinely initiate and manage Change Request Forms via the TrackWise system, including updates to product specifications and Certificates of Analysis (COA). Data Trending and Out-of-Trend (OOT) Analysis: Perform trend analysis of release testing data to identify OOT results. Develop, implement, and maintain procedures for trending and statistical data evaluation. External Data Review: Review analytical data generated by external laboratories to ensure compliance with specifications and quality standards. Share the review deficiencies with site team for further actions. Develop, revise, and review stability protocols and documentation in accordance with ICH guidelines and product-specific requirements, prepare stability summary reports with statistical analysis and trending to evaluate data and ensure regulatory compliance and data integrity . Conduct thorough Compendia reviews of USP (United States Pharmacopeia) monographs and ensure alignment with internal specifications and regulatory expectations. To participate and support site during customer audits and regulatory inspection. Lead and participate any other task assigned by HOD .

We seek a Tableau and Salesforce Analytics Analyst for Senior level who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era. Location - Bangalore/Pune/Indore/ Ahmedabad/ Hyderabad What will help you succeed: CRM Analytics administration Data analysis Salesforce Analytics Query Language (SAQL) Einstein Discovery Statistical analysis.

Unleash your passion for innovation at the forefront of artificial intelligence! We are seeking talented applied scientists who are driven to revolutionize customer experiences through technologies. Join our team and embark on a journey to redefine the boundaries of machine learning, deep learning, reinforcement learning, and large language models (LLMs). At our team, youll have the opportunity to tackle complex challenges across various domains, from optimizing marketing strategies to enhancing delivery time predictions. Whether your expertise lies in teaching machines to learn and adapt, building intelligent systems that interact using human-like language, or creating seamless user experiences, we offer a role that aligns with your skills and ambitions. Our full-time positions span several key areas, including: 1. Machine Learning: Unleash the power of machine learning theory through experimentation and innovation. Leverage techniques such as random forests, Bayesian networks, ensemble learning, and clustering to develop learning systems capable of handling massive datasets and solving previously intractable problems. 2. Reinforcement Learning: Drive advancements in reinforcement learning by developing algorithms that enable systems to make sequential decisions, learn from their environment, and optimize performance in dynamic, complex scenarios. Apply your expertise to create intelligent systems that learn and adapt in real time. 3. Large Language Models (LLMs): Work on state-of-the-art LLMs to push the boundaries of natural language understanding and generation. Develop and deploy models that can comprehend, generate, and interact using human-like language, enabling a wide range of application-oriented solutions. 4. Natural Language Processing and Speech Technologies: Engage with research in natural language processing. We are hiring in all areas of spoken language understanding, including NLP, NLU, ASR, and text-to-speech (TTS), to tackle complex challenges in human-computer interaction. 5. Computer Vision and Robotics: Develop solutions where visual input enhances customer experiences. Work with advanced technology, focusing on highly targeted use cases to launch products that offer innovative and practical solutions to real-world problems. Join us and be part of a team that is redefining the future of artificial intelligence. Embrace the opportunity to invent, design, and implement state-of-the-art technologies that drive impactful outcomes and create unforgettable customer experiences. - Access and work with vast datasets containing billions of images, videos, and other forms of data to build large-scale, high-impact systems. - Analyze and model terabytes of text, images, and various data types to tackle real-world problems, translating business and functional requirements into rapid prototypes or proofs of concept. - Lead the design and development of end-to-end systems, taking ownership of solutions from concept to deployment. - Write technical white papers, develop technical roadmaps, and drive production-level projects that support critical initiatives. - Collaborate closely with business partners to develop innovative solutions and deploy them into production, solving complex business problems. - Engage with diverse teams and cross-functional groups to address and solve complex challenges, driving value and efficiency across the organization. - Your work will push the boundaries of whats possible and deliver technologies that enhance customer experiences worldwide. - Masters degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in designing experiments and statistical analysis of results - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

No of years experience 8 to 10 yrs Detailed job description - Skill Set: 8+ years of experience in Database and Data warehouse tech (Azure Synapse/ADB, ADF/SQL Server/SAP HANA), Experience in ADF, ADB, Azure Synapse Solid knowledge on Python, Spark, SQL Experience with Power Shell Scripting Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making Performs Data mining which provides actionable data in response to changing business requirements. Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Mandatory Skills Must Have Skills Experience in ADF, ADB, Azure Synapse Solid knowledge on Python, PySpark, SQL Experience with Power Shell Scripting

we're looking for a Process Development Engineer to join our team. As a Process Development Engineer, you will be responsible for developing and optimizing manufacturing processes for our medical injectors. Requirements Bachelors or Masters degree in Chemical Engineering or related field 3+ years of experience in process development and optimization Experience with statistical analysis and design of experiments Proficiency in process simulation software (Aspen Plus, COMSOL) Excellent problem-solving skills Excellent communication and collaboration skills

Job Description 1 Review of Study related documents (Protocol, IB, ICD, SAPs, Tables, Listings, Figures (TLFs), medical coding reports, CSR, etc. ) 2 Review of mock and final TFLs, AE/SAE data, clinical study reports 3 Preparation of regulatory briefing books, submission dossiers, etc. 4 Provide/support responses for Site/EC/Regulatory queries for ongoing clinical development products 5 Assessment of protocol deviations, assessment of ongoing safely and efficacy data, evaluation of SAEs, training of the operations team on therapy area and protocol etc. 6 Providing exclusive literature search for products under evaluation for deciding strategies 7 Provide support for literature search/ data required for statistical analysis 8 Provide support for evaluation of 505(b)(2) applications, creating clinical development strategy and plans for FDA, EMA, PMDA etc. 9 Preparing/Providing support for clinical designs in light of current knowledge /strategies 10 Able to mentor team and guide clinical development strategy, medical monitoring and biostatistical activities Work Experience 4-6 years Education Graduation in Medicine or Medicine Post Graduation in Pharmacology or Pharmacology Competencies

Summary: We are seeking a talented Machine Learning Engineer to develop efficient, data-driven AI systems that enhance our predictive automation capabilities. The ideal candidate will be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large datasets. Additionally, the candidate should be proficient in executing tests and optimizing machine learning models and algorithms. Role: As a machine learning engineer, your primary responsibilities include: Develop and implement data-driven ML predictive models to advance intelligent automation and reporting Assess, analyze, and organize large datasets to extract meaningful insights Execute tests to validate machine learning models and algorithms Optimize machine learning models for improved performance and accuracy Collaborate with cross-functional teams to integrate machine learning solutions into existing systems Monitor and maintain machine learning models to ensure ongoing accuracy and efficiency Research and stay updated on the latest advancements in machine learning and ML techniques and applications Document processes, methodologies, and model performance for transparency and reproducibility Troubleshoot and resolve issues related to machine learning model deployment and operation Mentor and provide technical guidance to junior engineers, sharing best practices and fostering a culture of continuous learning Qualifications Requirements: A bachelors degree or masters degree in computer science, data science, or a related field 5+ years of experience in machine learning, data engineering, or software development Strong programming skills and proficiency in languages commonly used for ML and related tasks Big Data skills and be proficiency in data structures, modeling, and visualization Proven background in statistical analysis and data analysis to support model training and evaluation Excellent communication skills for working with stakeholders and translating technical concepts Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn); experience with production-quality code Strong background in statistics, mathematics, and data science Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models at scale is a plus

What does s successful Project Manager Does? A successful Senior Project Manager at Fiserv will be instrumental in driving enterprise automation projects. This role involves developing detailed project plans, mentoring teams, engaging stakeholders, managing resources, and identifying and mitigating risks to ensure that all projects align with strategic objectives. What You Will Do: Project Planning and Management: Develop comprehensive project plans, including timelines, budgets, resources, and milestones. Ensure alignment of all activities with corporate goals and strategies. Continuously monitor project progress and adjust plans as necessary. Team Leadership and Coordination: Lead and mentor project teams, fostering a collaborative environment. Organize regular meetings to address concerns and provide constructive feedback. Clarify roles and responsibilities to ensure cohesive teamwork. Stakeholder Management: Engage with senior stakeholders to provide strategic updates and gather valuable feedback. Identify and mitigate significant risks throughout the project lifecycle. Ensure all deliverables meet Fiserv s rigorous quality standards. Resource Allocation: Secure necessary resources and optimize workflows for enhanced efficiency. Manage project budgets effectively to prevent overspending. Risk Management: Proactively identify potential risks and devise effective mitigation strategies. Implement contingencies to keep projects on track in the face of challenges. What You Will Need to Have: Education: Bachelor s or master s degree in computer science or a related field. Experience: 10+ years of proven experience leading delivery teams, particularly in implementing automation solutions. Technical Skills: Deep understanding of development and test automation technologies. Leadership Skills: Strong leadership and management skills, with experience in guiding cross-functional teams. Communication: Excellent communication skills, with the ability to articulate complex ideas to both technical and non-technical stakeholders. What Would Be Great to Have: Industry Knowledge: Familiarity with the Banking and Payment domain is preferred. This position provides an excellent opportunity for a motivated leader to drive innovation in enterprise automation at Fiserv, while promoting a culture of collaboration and excellence. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Share this Job Email LinkedIn X Facebook

Role Purpose The purpose of the role is to provide timely, accurate and quality MIS reports, dashboards to the external & internal stakeholders of account(s) as per the defined process and standards of security and compliance Do Prepare timely and accurate MIS reports and dashboards as required by the stakeholders Interact and work closely with management, internal stakeholders & clients to understand the business information needs Ensuring all reports & dashboards are prepared as per stakeholder requirements as per the desired frequency (weekly/ monthly/ quarterly) Ensure regular review with the MIS Team Lead for 100% accuracy before populating any customized dashboard or generating any customized report Track and follow up with relevant stakeholder for timely updation and data management of parameters (key SLA metrics such as run-rate etc.) Generate account level reports (billable and non-billable) on forecasting, scheduling (both onshore and offshore) and performance against SLAs, CSAT, Quality etc. Ensure zero non-compliances on process audit on data security and compliance Support and adopt tools and systems for efficient MIS generation and reporting system Continuous support to the manager in rolling out new techniques and initiatives to increase productivity Providing update to the manager on the progress of any new MIS initiatives Perform periodic maintenance and servicing of MIS system to improve operational efficiency Adopt new tools, technology solutions and develop capability through training to improve own productivity. Develop analytical skills and understanding of statistical analysis to suggest improvement in the quality of analysis Deliver No.Performance ParameterMeasure 1.MIS Management and Reporting Quality of Analysis Zero errors in reports Zero non-conformance on timelines with respect to the client/ stakeholder requirements 2.Stakeholder Management Customised dashboards as per client and functional requirements Zero escalations on data reporting Zero non-conformance on security or compliance requirements 3.Team Management Team attrition %, Employee satisfaction score

We are seeking skilled Data Analysts with a minimum of 1 year of experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of Data Analysis experience Strong knowledge of Python, R, or SQL Proficiency in data visualization tools (e. g. , Tableau, Power BI) Statistical analysis expertise. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

We are seeking skilled Data Analysts with a minimum of 1 year of experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of Data Analysis experience Strong knowledge of Python, R, or SQL Proficiency in data visualization tools (eg. Tableau, Power BI) Statistical analysis expertise Flexible hours Remote opportunity Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

ECMS Req # 526548 Role Sr. Consultant Number of Openings 1 Duration of project 6 Months No of years experience 8 to 10 yrs Detailed job description - Skill Set: 8+ years of experience in Database and Data warehouse tech (Azure Synapse/ADB, ADF/SQL Server/SAP HANA), Experience in ADF, ADB, Azure Synapse Solid knowledge on Python, Spark, SQL Experience with Power Shell Scripting Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making Performs Data mining which provides actionable data in response to changing business requirements. Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics

As a Business Analyst of the worldwide Registration Verification team, you will be responsible for driving insights into what makes sellers successful in the global ecosystem, and partnering with the product team to launch features at registration to help sellers be successful. The ideal analyst should have proven experience in business analysis and product development; should be able to work across teams and should be able to lead leadership reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to collaborating with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and adaptability to thrive in a fast-paced, dynamic environment. Key responsibilities: Develop a deep understanding of Registration and Verification teams data sources and know exactly how, when, and which data to use to solve particular business problems using Advanced SQL. Design, build and automate SQL reporting and dashboards to scale and support business needs Work with stakeholders to gather data and metrics requirements and drive analytics projects to help solve complex challenges. Design, implement, and support key datasets that provide structured and timely access to actionable business/product information. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present recommendations that will shape the future of the registration and identity verification Proactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact. Develop performance dashboards that encompass key metrics to be reviewed with senior leadership. Manage numerous requests concurrently and strategically, prioritizing when necessary. About the team Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. - 3+ years of tax, finance or a related analytical field experience - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Experience with Excel - Statistical Analysis, Python

Role: To design and develop drivetrain parts of automotive e-transmission Responsibilities: Layout and packaging of transmission in vehicle Design and development of gear train parts for adapting motor/engine Design of forced lubrication system to meet motor cooling transmission lubrication requirement. Develop proto parts tooled up parts - concurrent engg. with supplier. Countermeasure to failures of driveline parts in testing. Analysis of market problems/NVH Assembly issues pertaining to transmission system (Pump, gear train, thermal system). Competency Requirements Technical/ Functional: CAD proficiency - Uni-graphics (mandatory) CAE Design: Gear Shaft, Bearing selection, Lubrication Cooling circuit Work experience of Gear design software (UG/ Kissoft/ Romax) Tolerance stack-up, GDT, Statistical analysis, BOM Management Understanding of thermal and hydraulic system design Understanding of production processes design for manufacturing Knowledge of problem-solving tools - FTA, DFMEA, QC tools Behavioral Self-motivated, flexible, and team-player Evidence of strong networking skills Good communication and presentation skills an initiator Specific expertise required for functional area Preferably have work experience in an OEM Good driving skills Willingness to travel

Brief: Seeking a skilled Research Analyst responsible for collecting, analyzing, and interpreting qualitative and quantitative data gathered through various research methodologies such as primary research surveys, interviews, focused group discussions, consumer immersions, or secondary research like analyzing documented industry findings, market reports, online publications, etc. Extract actionable insights to drive strategic decision making, optimize business operations, and streamline business processes. Responsibilities: Collecting data from primary and secondary data sources. Conducting research surveys, interviews, focused group discussions, consumer immersions, etc. Extracting relevant data from market reports, industry publications, and online databases. Analyzing the collected data to derive actionable insights to support informed decision-making for achieving organizational goals and objectives. Conducting user testing through visual designs, application prototypes, etc., to gauge user reactions, pain points, and customer feedback to enhance the customer journey and application adoption. Monitoring competitor activities/initiatives, industry trends, and consumer behaviors to support strategic decision-making and anticipate market shifts. Tracking market growth, consumer buying behavior, emerging technologies, and analyzing competitor product activities to identify potential opportunities and gain a competitive advantage. Presenting research insights to management teams and key decision-makers compellingly and engagingly. Contributing to developing strategic business plans, marketing initiatives, and product/service enhancements based on research insights. Requirements and Skills: Analytical Skills: Possess strong analytical skills to collect, interpret, and synthesize data from different sources. Quantitative Skills: Proficiency in statistical analysis tools and techniques to derive insights and make data-driven recommendations. Communication Skills: Excellent written and verbal communication skills for conveying research findings and insights to diverse audiences. Attention to Detail: A keen eye for detail to ensure accuracy and reliability in data collection, analysis, and reporting. Problem-Solving Abilities: Ability to approach complex business challenges logically and systematically to derive meaningful insights from data. Technology Proficiency: Familiarity with research software, statistical tools, and data visualization platforms.

About the Job We are seeking a Full Stack Developer to play a role in the design, development and special projects for the client. The selected candidate will be responsible for ensuring all software solutions and enhancements are fully tested, debugged, and meet product quality standards while being delivered on time and on budget. Additionally, the role requires to perform a continuous review of technologies, industry standards, and industry-related developments, and make recommendations regarding the need for further research and associated changes. As Full Stack Developer, You Will Work alongside a team of developers building tools to improve business operations and the lives of our global workforce Work in a fast-paced agile software development environment Develop applications that are used by thousands of people daily Interact with product stakeholders to show off your work and gain feedback Love technology and finding creative solutions to challenging problems As Full Stack Developer, You Have Must have at least 2 years of Angular specific experience At least 1 year of software development experience and/or recent graduate with a great attitude Experience with user interface design, database structures and statistical analysis is a plus Strong knowledge of web technology stacks Experience with automated testing an asset Creative problem solving skills Ability to meet aggressive deadlines and handle multiple and complex projects Excellent communication skills ,

Requirements and skills : Proven working experience as an Insurance Agent or relevant experience Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc) Basic computer knowledge and statistical analysis Proven ability to work with goals Demonstrated ability to communicate, present, influence and sell effectively Experience in delivering client-focused solutions and in creating long-lasting relationships Graduate Location: Kolkata,Ahmedabad,Nashik,Pune,Bengaluru,Chennai,Baroda, Delhi

Requirements and skills : Proven working experience as an Insurance Agent or relevant experience Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc) Basic computer knowledge and statistical analysis Proven ability to work with goals Demonstrated ability to communicate, present, influence and sell effectively Experience in delivering client-focused solutions and in creating long-lasting relationships Graduate Location- Kolkata,Ahmedabad,Nashik,Pune,Bengaluru,Chennai, Baroda, Delhi

Test Development: Design psychometrically sound assessments for various purposes, including educational and occupational settings. Data Collection and Analysis: Conduct statistical analyses to evaluate the reliability and validity of assessments. Report Generation: Generate reports, provide insights, and suggest recommendations based on test findings to various stakeholders. Research and Development: Stay updated with advances in psychometric theory and assessment methodologies and contribute to enhancing assessment tools and methodologies. Quality Assurance: Ensure the quality and accuracy of assessment materials and procedures. Collaborate with development teams, product managers, and other stakeholders to ensure a clear understanding of project requirements. Advanced degree in psychometrics, statistics, or a related field. Continued education and professional development in psychometrics. Expertise in statistical analysis methods and tools. Ability to interpret and apply statistical results to enhance assessment validity. Familiarity with test construction, validation, and standardization processes. Strong analytical and critical thinking skills to identify and address measurement challenges. Problem-solving ability in refining and improving assessment tools.

Designs, Develops, and Tests Data Models to import data from source systems to meet Project requirements Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making . Performs Data mining which provides actionable data in response to changing business requirements. Understands business requirements and develops dashboards to meet business needs Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality. Owns technical implementation and documentation associated with datasets. Provides updates on project progress, performs root cause analysis on completed projects and works on identified improvement areas (like process, product quality, performance, etc.) Provides post-implementation support and ensures the target project benefits are successfully delivered in a robust and sustainable fashion. Builds relationships and partners effectively with cross-functional teams to ensure available data is accurate, consistent and timely Independently manages expectations from stakeholders, optimally utilizes time for larger initiatives with minimal guidance on prioritization or dependencies Provides mentorship and guidance to peers and junior team members Mandatory Skills required to perform the job: Data Analysis & Statistical Analysis skills, experience in extracting information from databases, Office 365 Solid knowledge on Python. Experience in advanced Statistical techniques. Knowledge of SAP systems (SAP ECC T-Codes & Navigation) Expert in Data Base Development, Troubleshooting & Problem-solving skills (SQL Server, SAP HANA, Azure Synapse) Experience in project requirements gathering and converting business requirements into analytical & technical specs. Excellent verbal and written communication & presentation skills, able to communicate cross-functionally. Expert in Reports & Dashboard development (Power BI) . Desirable Skills: Agile/SCRUM development using any tools. Understanding of enterprise server architecture, cloud platforms Ability to deliver training and presentations in the area of expertise Good understanding of business processes and experience in Manufacturing/Inventory Management domains Data Analyst, Data Warehouse, Azure Synapse

Well known to calibrate the sophisticated Lab Instruments Monitoring the Lab activities on daily basis Familiar with Quality statistical analysis Validation of production Activities Familiar Regulation ( National & International)Of Pet Resins Handling of manpower Familiar with ISO Documentations Report generation Familiar with requirements of Documents of customers requirements Familiar with Pepsi , Cock & Nestle approval Deep Knowledge in PET Resins manufacturing process Familiar with Down Stream production Trouble Shouting of Instruments * B.Sc.-Chemestry/Polymer Science or Diploma-Chemical

2-4 years of experience in designing, developing, and training machine learning models using diverse algorithms and techniques, including deep learning, NLP, computer vision, and time series analysis. Proven ability to optimize model performance through experimentation with architectures, hyperparameter tuning, and evaluation metrics. Hands-on experience in processing large datasets, including preprocessing, feature engineering, and data augmentation. Demonstrated ability to deploy trained AI/ML models to production using frameworks like Kubernetes and cloud-based ML platforms Solid understanding of monitoring and logging for performance tracking. Experience in exploring new AI/ML methodologies and documenting the development and deployment lifecycle, including performance metrics. Familiarity with AWS services, particularly SageMaker, is expected. Excellent communication, presentation, and interpersonal skills are essential. Good to have: Knowledge of GenAI (LangChain, Foundation model tuning, and GPT3) Amazon AWS Certified Machine Learning - Specialty certifications Explore different models and transform data science prototypes for given problem Analyze dataset perform data enrichment, feature engineering and model training Abale to write code using Python, Pandas and Dataframe APIs Develop machine learning applications according to requirements Perform statistical analysis and fine-tuning using test results Collaborate with data engineers & architects to implement and deploy scalable solutions. Encourage continuous innovation and out-of-the-box thinking. Experience applying theoretical models in an applied environment.

We seek a Tableau and Salesforce Analytics Analyst for Senior level who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era. Location - Bangalore/Pune/Indore/ Ahmedabad/Hyderabad What will help you succeed: CRM Analytics administration Data analysis Salesforce Analytics Query Language (SAQL) Einstein Discovery Statistical analysis.