7896 Mathematics Jobs - Page 50

Job Role: Online Business Manager/Virtual Assistant (Admin, Operations & Support Role) **PLEASE NOTE THIS POSITION IS FOR ONLINE BUSINESS MANAGER/VIRTUAL ASSISTANT. WE POSTED IT AS CUSTOMER SERVICE EXECUTIVE FOR THOSE WHO WOULD LIKE TO TRY WORKING IN A MORE DIVERSE ROLE*** It's a simple 5 stage process you'll have to go through to join Wishup as an Online Business Manager: 1) You can start by filling out the basic details here: https://bit.ly/3zzTtHk 2) Once all the details are filled in, you will encounter 2 online tests, the Aptitude test (25 minutes duration) & the English writing test (15 minutes duration) on the same link. 3) Research Assignment 4) Hiring manager interview 5) Offer Call What is Wishup? Wishup is India’s largest remote work platform (since 2017), connecting global businesses with top remote professionals in roles such as Virtual Assistants, Operations/Admin Managers, Executive Assistants, Project Managers, Bookkeepers, and Accountants. With a stringent 0.1% acceptance rate, each professional is upskilled and managed via our AI-based remote work tool. Backed by marquee investors (Orios Ventures, Inflection Point Ventures, 500 Startups, and Tracxn Labs), Wishup’s leadership team includes alumni from premier institutes like IIT Madras, IIM Ahmedabad, IIT Kanpur, and DCE. Job Profile: - An Online Business Manager/Virtual Assistant at Wishup is a remote full-time employee that works for and is trained by Wishup, and is deployed to engage with one or more US-based clients. - The role is remote and full-time (not a freelancing assignment) - The role would require working in the US time zone What’s in it for you? - International exposure: You’ll get to interact and build relationships with the smartest global founders and CXOs working on cutting-edge ideas - No hassle of US visa application; since it’s remote working - Constant upskilling to maintain market relevance: We provide up to 4 weeks of training during onboarding in all the latest industry tools and practices - Stable full-time remote job in a company that has been fully remote for over 5 years: work from home (or anywhere), forever! - Scope of rapid growth in salary based on bi-annual appraisals - A healthy work-life balance Roles & Responsibilities: As an Online Business Manager, you will work closely with one or more clients on either one or all of the following tasks : - Ecommerce Assistance (Amazon Seller/Shopify) - Project Management - Advanced Excel and MIS Reporting - CRM and Lead Management - Online Research - Lead Generation - Executive Assistance (Itinerary Planning, Calendar Management, Inbox Management, etc.) You're a great fit if you have: - At least 2 years of full-time corporate experience - A stable career employment track record - Impeccable written and spoken English - An aptitude for mathematics and logic - A solid experience in resolving work-conflict situations - An ability to be constantly self-driven and organized - An ability to work in US time zones Job Prerequisites: - Distraction-free workspace with zero external interference - Smartphone with email capabilities - A fast and reliable internet connection with a minimum speed of 70 mbps - Laptop with an integrated camera and in-home office setup, including a minimum of 8GB RAM for Windows and 2GB RAM for Mac (including webcam); with a minimum of an Intel Core i5 8th Generation processor or above for Windows and equivalent for Mac. The system must run Windows 10/11 or macOS (latest version), and have the most recent version of MS Office installed (all programs: Word, Excel, Outlook, PowerPoint). - A pair of headphones Work Shift (either of the following may be allocated): Mon-Fri, 6:30 p.m. - 3:30 a.m. IST Mon-Fri, 9:30 p.m. - 6:30 a.m. IST Salary: Up to 30% hike (max salary offered is 85k/month) Company Reviews: https://www.glassdoor.co.in/Reviews/Wishup-Reviews-E1511572.htm?filter.iso3Language=eNg Social Media Links: LinkedIn - https://www.linkedin.com/company/wishup-services/ Facebook - https://www.facebook.com/wishupnow/ Twitter - https://twitter.com/wishupnow Instagram - https://www.instagram.com/wishupnow/ Training at Wishup: https://www.youtube.com/watch?v=6Uolgas0Uj4 Life at Wishup: https://www.youtube.com/watch?v=qHPMod_jzmA For more info, drop an email to apply@wishup.co ***All job offers will be contingent upon the successful completion of the professional reference check Show more Show less

Job Name : Online Business Manager/Virtual Assistant (Admin, Operations & Support Role) It's a simple 5 stage process you'll have to go through to join Wishup as an Online Business Manager: 1) You can start by filling out the basic details here: https://bit.ly/3zPmTOV 2) Once all the details are filled in, you will encounter 2 online tests, the Aptitude test (25 minutes duration) & the English writing test (15 minutes duration) on the same link. 3) Assignment 4) Video interview 5) Offer discussion What is Wishup? Wishup is India’s largest remote work platform (since 2017), connecting global businesses with top remote professionals in roles such as Virtual Assistants, Operations/Admin Managers, Executive Assistants, Project Managers, Bookkeepers, and Accountants. With a stringent 0.1% acceptance rate, each professional is upskilled and managed via our AI-based remote work tool. Backed by marquee investors (Orios Ventures, Inflection Point Ventures, 500 Startups, and Tracxn Labs), Wishup’s leadership team includes alumni from premier institutes like IIT Madras, IIM Ahmedabad, IIT Kanpur, and DCE. Job Profile: - An Online Business Manager/Virtual Assistant at Wishup is a remote full-time employee that works for and is trained by Wishup, and is deployed to engage with one or more US-based clients. - The role is remote and full-time (not a freelancing assignment) - The role would require working in the US time zone What’s in it for you? - International exposure: You’ll get to interact and build relationships with the smartest global founders and CXOs working on cutting-edge ideas - No hassle of US visa application; since it’s remote working - Constant upskilling to maintain market relevance: We provide up to 6 weeks of training during onboarding in all the latest industry tools and practices - Stable full-time remote job in a company that has been fully remote for over 5 years: work from home (or anywhere), forever! - Scope of rapid growth in salary based on annual appraisals - A healthy work-life balance Roles & Responsibilities: As an Online Business Manager, you will work closely with one or more clients on either one or all of the following tasks: - Ecommerce Assistance (Amazon Seller/Shopify) - Project Management - Advanced Excel and MIS Reporting - CRM and Lead Management - Online Research - Lead Generation - Executive Assistance (Itinerary Planning, Calendar Management, Inbox Management, etc.) You're a great fit if you have: - At least 2 years of full-time corporate experience - A stable career employment track record - Impeccable written and spoken English - An aptitude for mathematics and logic - A solid experience in resolving work-conflict situations - An ability to be constantly self-driven and organized - An ability to work in US time zones Job Prerequisites: - Distraction-free workspace with zero external interference - Smartphone with email capabilities - A fast and reliable internet connection with a minimum speed of 70 mbps - Laptop with an integrated camera and in-home office setup, including a minimum of 8GB RAM for Windows and 2GB RAM for Mac (including webcam); with a minimum of an Intel Core i5 8th Generation processor or above for Windows and equivalent for Mac. The system must run Windows 10/11 or macOS (latest version), and have the most recent version of MS Office installed (all programs: Word, Excel, Outlook, PowerPoint). - A pair of headphones Work Shift (either of the following may be allocated): Mon-Fri, 6:30 p.m. - 3:30 a.m. IST Mon-Fri, 9:30 p.m. - 6:30 a.m. IST Salary: Up to 30% hike (max salary offered is 85k/month) Company Reviews: https://www.glassdoor.co.in/Reviews/Wishup-Reviews-E1511572.htm?filter.iso3Language=eNg Social Media Links: LinkedIn - https://www.linkedin.com/company/wishup-services/ Facebook - https://www.facebook.com/wishupnow/ Twitter - https://twitter.com/wishupnow Instagram - https://www.instagram.com/wishupnow/ Training at Wishup: https://www.youtube.com/watch?v=6Uolgas0Uj4 Life at Wishup: https://www.youtube.com/watch?v=qHPMod_jzmA For more info, drop an email to apply@wishup.co ***All job offers will be contingent upon the successful completion of the professional reference check. Show more Show less

Job Name: Online Business Manager/Virtual Assistant (Admin, Operations & Support Role) It's a simple 5 stage process you'll have to go through to join Wishup as an Online Business Manager: 1) You can start by filling out the basic details here: https://bit.ly/3Hi7aeX 2) Once all the details are filled in, you will encounter 2 online tests, the Aptitude test (25 minutes duration) & the English writing test (15 minutes duration) on the same link. 3) Assignment 4) Hiring manager interview 5) Offer discussion What is Wishup? Wishup is India’s largest remote work platform (since 2017), connecting global businesses with top remote professionals in roles such as Virtual Assistants, Operations/Admin Managers, Executive Assistants, Project Managers, Bookkeepers, and Accountants. With a stringent 0.1% acceptance rate, each professional is upskilled and managed via our AI-based remote work tool. Backed by marquee investors (Orios Ventures, Inflection Point Ventures, 500 Startups, and Tracxn Labs), Wishup’s leadership team includes alumni from premier institutes like IIT Madras, IIM Ahmedabad, IIT Kanpur, and DCE. Job Profile: - An Online Business Manager/Virtual Assistant at Wishup is a remote full-time employee that works for and is trained by Wishup, and is deployed to engage with one or more US-based clients. - The role is remote and full-time (not a freelancing assignment) - The role would require working in the US time zone What’s in it for you? - International exposure: You’ll get to interact and build relationships with the smartest global founders and CXOs working on cutting-edge ideas - No hassle of US visa application; since it’s remote working - Constant upskilling to maintain market relevance: We provide up to 6 weeks of training during onboarding in all the latest industry tools and practices - Stable full-time remote job in a company that has been fully remote for over 5 years: work from home (or anywhere), forever! - Scope of rapid growth in salary based on annual appraisals - A healthy work-life balance Roles & Responsibilities: As an Online Business Manager, you will work closely with one or more clients on either one or all of the following tasks: - Ecommerce Assistance (Amazon Seller/Shopify) - Project Management - Advanced Excel and MIS Reporting - CRM and Lead Management - Online Research - Lead Generation - Executive Assistance (Itinerary Planning, Calendar Management, Inbox Management, etc.) You're a great fit if you have: - At least 2 years of full-time corporate experience - A stable career employment track record - Impeccable written and spoken English - An aptitude for mathematics and logic - A solid experience in resolving work-conflict situations - An ability to be constantly self-driven and organized - An ability to work in US time zones Job Prerequisites: - Distraction-free workspace with zero external interference - Smartphone with email capabilities - A fast and reliable internet connection with a minimum speed of 70 mbps - Laptop with an integrated camera and in-home office setup, including a minimum of 8GB RAM for Windows and 2GB RAM for Mac (including webcam); with a minimum of an Intel Core i5 8th Generation processor or above for Windows and equivalent for Mac. The system must run Windows 10/11 or macOS (latest version), and have the most recent version of MS Office installed (all programs: Word, Excel, Outlook, PowerPoint). - A pair of headphones Work Shift (either of the following may be allocated): Mon-Fri, 6:30 p.m. - 3:30 a.m. IST Mon-Fri, 9:30 p.m. - 6:30 a.m. IST Salary: Up to 30% hike (max salary offered is 85k/month) Company Reviews: https://www.glassdoor.co.in/Reviews/Wishup-Reviews-E1511572.htm?filter.iso3Language=eNg Social Media Links: LinkedIn - https://www.linkedin.com/company/wishup-services/ Facebook - https://www.facebook.com/wishupnow/ Twitter - https://twitter.com/wishupnow Instagram - https://www.instagram.com/wishupnow/ Training at Wishup: https://www.youtube.com/watch?v=6Uolgas0Uj4 Life at Wishup: https://www.youtube.com/watch?v=qHPMod_jzmA For more info, drop an email to apply@wishup.co ***All job offers will be contingent upon the successful completion of the professional reference check ****The average Onboarding time on the platform after getting selected is around 3 months which may vary depending on the demand on the client's side Show more Show less

Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience in either system design or reading code (e.g., Java, C++, Python, etc.). 3 years of experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Experience with Data/SQL and web technologies. Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 5 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc). About The Job gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. As a Measurement Specialist within the gTech Ads Solution Team, our mission is to empower Large Customer Sales (LCS) clients to achieve business outcomes through data-driven measurement. In this team, we partner with clients, agencies, and internal gTech/Sales teams, providing support to build measurement readiness. This includes assessing and preparing clients to implement infrastructure, identify data gaps, enhance data collection, and accurately track performance against key indicators. Our ultimate goal is to enable clients to maximize value from Google's products and shape the future of measurement. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video . Responsibilities Identify product gaps and issues from user feedback or metrics and communicate them to internal teams like Product Management, Business Development, Engineering. Contribute to Product Requirement Documents (PRDs) to record product specifications, validate PRDs to ensure customer/partner and internal needs are met, with guidance. Assist in scaling existing or creating repeatable solutions (e.g., best practices recommendations, tutorials, blog articles, sample code) and ensuring effective documentation of repeatable solutions with guidance. Assist in writing solution code in collaboration with internal or external developers/users/partners/clients/stakeholders as required. Maintain relationships with key stakeholders in customer and partner organizations to deliver or manage quality technical solutions and services. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Job Purpose Assist Cross-Sell Credit in achieving superior portfolio quality through a range of initiatives. Key Responsibilities Functional Responsibilities PL Eligibility Base preparation (SQL) Portfolio Risk segmentation through Decision Trees and other ML (Python) PL Portfolio quality improvement through specific Credit Actions Process Quality (end-to-end customer journey) documentation, deviations tracking, change implementation PL Portfolio review and MIS Job Requirement Qualifications MS Data Science, Mathematics, Statistics, Economics Experience 4+ years of experience Functional Competencies Strong Analytics background (Tableau dashboards, ML modeling) Very Strong with data tools: SQL, python, XL Good understanding of lending, credit risk Exposure to MIS, performance tracking , Report automation in Tableau Willingness to learn Show more Show less

Company Description ClinFocus empowers life sciences organizations to accelerate clinical trials through technology-driven solutions. Our services include EDC Development, Systems Integration, AI Deployment & Enablement, Clinical Data Science, Project Management, and Development of Integrated Dashboards. As an ISO-certified organization and partner of Medidata Rave, we are committed to excellence and trust in clinical research. We are seeking a highly motivated and skilled Clinical Statistical Programmer to join our dynamic Biometrics team. In this role, you will be instrumental in the development, validation, and maintenance of programs used for the analysis and reporting of clinical trial data. You will work closely with biostatisticians, data managers, and clinical scientists to ensure the accurate and timely delivery of high-quality statistical outputs. Responsibilities: Develop, validate, and maintain SAS programs for the creation of SDTM and ADaM datasets, tables, listings, and figures (TLFs) according to statistical analysis plans (SAPs) and programming specifications. Ability to contribute to the development and implementation of Statistical Analyses Plan Perform quality control (QC) of programs and outputs generated by other statistical programmers to ensure accuracy, consistency, and adherence to company standards and regulatory guidelines. Collaborate with biostatisticians to clarify programming requirements, resolve data issues, and ensure the accurate implementation of statistical methodologies. Contribute to the development and review of programming specifications, mock TLFs, and other study-related documentation. Ensure compliance with regulatory requirements (e.g., FDA, EMA, ICH-GCP) and internal Standard Operating Procedures (SOPs). Participate in team meetings and contribute to discussions regarding study design, data analysis, and reporting strategies. Proactively identify and implement process improvements to enhance efficiency and quality of programming deliverables. Maintain comprehensive documentation of programming activities and version control. May contribute to the development and maintenance of programming standards and macros. Qualifications: Bachelor's or Master's degree in Statistics, Biostatistics, Computer Science, Mathematics, or a related scientific field. Minimum of3] years of experience in clinical statistical programming within the pharmaceutical, biotechnology, or CRO industry. Proficiency in SAS programming (Base SAS, SAS/STAT, SAS/GRAPH, SAS Macro Language). Strong understanding of CDISC standards, including SDTM and ADaM. Experience with regulatory submissions (e.g., NDA, BLA) is highly desirable. Solid understanding of clinical trial processes, ICH-GCP guidelines, and relevant regulatory requirements. Excellent attention to detail and strong problem-solving skills. Ability to work independently and as part of a collaborative team. Strong written and verbal communication skills. Experience with other programming languages (e.g., R, Python) is a plus. Knowledge of industry best practices for statistical programming. What We Offer: Opportunity to work on innovative clinical trials across diverse therapeutic areas. A collaborative and supportive work environment. Opportunities for professional growth and development. Competitive salary and benefits package. Show more Show less

Responsibilities Establish scalable, efficient, automated processes for data analysis, data model development, validation, and implementation. Work closely with analysts/data scientists to understand impact to the downstream data models. Write efficient and well-organized software to ship products in an iterative, continual release environment. Contribute to and promote good software engineering practices across the team Communicate clearly and effectively to technical and non-technical audiences. Minimum Qualifications University or advanced degree in engineering, computer science, mathematics, or a related field Strong hands-on experience in Databricks using PySpark and Spark SQL (Unity Catalog, workflows, Optimization techniques) Experience with at least one cloud provider solution (GCP preferred) Strong experience working with relational SQL databases. Strong experience with object-oriented/object function scripting language : Python. Working knowledge in any transformation tools, DBT preferred. Ability to work with Linux platform. Strong knowledge of data pipeline and workflow management tools (Airflow) Working knowledge of Git hub /Git Toolkit Expertise in standard software engineering methodology, e.g. unit testing, code reviews, design documentation Experience creating Data pipelines that prepare data for ingestion & consumption appropriately. Experience in maintaining and optimizing databases/filesystems for production usage in reporting, analytics. Working in a collaborative environment and interacting effectively with technical and non-technical team members equally well. Good verbal and written communication skill (ref:hirist.tech) Show more Show less

About Arcgate is a dynamic and rapidly growing team of 2500+ professionals passionate about data and technology. We deliver cutting-edge solutions to some of the worlds most innovative startups to market leaders across application development, quality engineering, AI data preparation, data enrichment, search relevance, and content : Design, build, and optimize Python based data pipelines that handle large, complex, and messy datasets efficiently. Develop and manage scalable data infrastructures, including databases and data warehouses such as Snowflake, Azure Data Factory etc. ensuring reliability and performance. Build, maintain, and optimize CDC processes that integrate data from multiple sources into the data warehouse. Collaborate closely with data scientists, analysts, and operations teams to gather requirements and deliver high-quality data solutions. Perform data quality checks, validation, and verification to ensure data integrity and consistency. Support and optimize data flows, ingestion, transformation, and publishing across various systems. Work with AWS infrastructure (ECS, RDS, S3), manage deployments using Docker, and package services into containers. Use tools like Prefect, Dagster and dbt to orchestrate and transform data workflows. Implement CI/CD pipelines using Harness and GitHub Actions. Monitor system health and performance using DataDog. Manage infrastructure orchestration with Terraform and Terragrunt. Stay current with industry trends, emerging tools, and best practices in data engineering. Coach and mentor junior team members, promoting best practices and skill development. Contribute across diverse projects, demonstrating flexibility and : Bachelors degree in Computer Science, Engineering, Mathematics, Physics, or a related field. 5+ years of demonstrable experience building reliable, scalable data pipelines in production environments. Strong experience with Python, SQL programming, and data architecture. Hands-on experience with data modeling in Data Lake or Data Warehouse environments (Snowflake preferred). Familiarity with Prefect, Dagster, dbt, and ETL/ELT pipeline frameworks. Experience with AWS services (ECS, RDS, S3) and containerization using Docker. Knowledge of TypeScript, React, Node.js is a plus for collaborating on the application platform. Strong command of GitHub for source control and Jira for change management. Strong analytical and problem-solving skills, with a hands-on mindset for wrangling data and solving complex challenges. Excellent communication and collaboration skills; ability to work effectively with cross- functional teams. A proactive, start-up mindset, adaptable, ambitious, responsible, and ready to contribute wherever needed. Passion for delivering high-quality solutions with meticulous attention to detail. Enjoy working in an inclusive, respectful, and highly collaborative environment where every voice matters. Benefits Competitive salary package. Opportunities for growth, learning, and professional development. Dynamic, collaborative, and innovation-driven work culture. Work with cutting-edge technologies and leading-edge startups. (ref:hirist.tech) Show more Show less

About The Job Ajackus is your trusted tech partner working diligently to drive results by solving business challenges through talent, ideas, and technology. Since then, we have touched millions of lives, worked with multiple billion-dollar growth-stage startups, and helped our clients upgrade in fintech, lead the change in health tech, transcend geographies with advancements in travel tech, and bring infrastructure to the fingertips through prop-tech. Vision : To empower global organizations with world-class teams emerging from India. Values : Empathy, Inclusivity, Adaptiveness, Diligence, Trust, Progress, Confidence & Curiosity. Locations : India (HQ), USA, and UAE. At Ajackus, we are more than just a technology company - we're your strategic partner in turning visionary ideas into reality. The Role We are in search of a proactive Senior Data Analyst who is passionate about harnessing data to fuel business growth, optimize operational processes, and drive organizational excellence. The Ideal Candidate Will Possess Advanced Analytical Capabilities, Extensive Experience In Looker And DBT (Data Build Tool), And a Proven Track Record Of Transforming Raw Data Into Sophisticated Visualizations And Data Models That Drive Tangible Business Analysis And Visualization Leverage advanced features of Looker and dbt to develop sophisticated and dynamic charts, dashboards, and predictive models that provide deep insights into key business metrics and trends. Identify and analyze complex data patterns and anomalies to uncover actionable insights and strategic opportunities for business optimization and growth. Partner closely with cross-functional teams to understand their unique data requirements and deliver tailored data solutions that meet their evolving needs. Data Management And Modeling Lead efforts in collecting, cleansing, and transforming data from diverse sources using dbt to ensure data accuracy, consistency, and reliability for advanced analytics and modeling purposes. Develop and maintain robust data models and schemas in dbt that serve as the foundation for comprehensive data analysis and reporting across the organization. Collaboration And Communication Collaborate closely with stakeholders at all levels of the organization to understand their analytical needs, provide expert guidance on data-related matters, and drive data-driven decision-making processes. Effectively communicate complex analytical findings, data-driven recommendations, and strategic insights to technical and non-technical audiences through compelling presentations, reports, and interactive data visualizations. Continuous Learning And Innovation Stay abreast of the latest advancements and best practices in Looker, dbt, and data analytics methodologies, and proactively incorporate emerging trends and technologies into our analytical practices. Solicit and incorporate feedback from peers and stakeholders to continually enhance the quality, efficiency, and impact of our data analytics Profile : Qualifications Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; Master's degree preferred. Minimum of 3 years of experience in data analysis and visualization, with a strong emphasis on utilizing Looker, LookML and dbt to deliver advanced analytics solutions. Expertise in SQL and proficiency in working with relational databases; experience with cloud-based data warehouses (i.e., BigQuery, Snowflake) is highly desirable. Demonstrated ability to think strategically, solve complex problems, and drive business outcomes through data-driven insights and recommendations. Exceptional communication, collaboration, and stakeholder management skills, with a proven ability to distill complex technical concepts into clear and actionable insights for diverse audiences. Experience with other BI tools such as Tableau, Power BI, or Mode Analytics is a on Offer? Flexible working options Remote work (ref:hirist.tech) Show more Show less

Salary - 10 to 25 LPA Title : Sr. Data Scientist/ML Engineer (4+ years & above) Required Technical Skillset Language : Python, PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques : Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies : A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech) Show more Show less

Selected Intern's Day-to-day Responsibilities Include Connect with the prospective students and parents via calls, providing detailed information on our test preparation programs and services. Understand student needs and assist in selecting the most appropriate courses or study plans based on their goals and requirements. Maintain a detailed record of interactions with prospective students and update our CRM system with accurate information. Provide follow-up communication via phone, email, or text to ensure students have the necessary information and feel confident about their test preparation journey. Assist in scheduling and rescheduling consultations, classes, and workshops. Work closely with the sales and counseling team to ensure a seamless and positive experience for prospective students. Collect feedback from students to help improve the services and offerings. Participate in training sessions to stay updated on test prep content, sales techniques, and customer service best practices. About Company: Founded in 2013-14 by Jatin Rajpal, our institute initially focused on delivering exceptional economics classes. Over the years, we have significantly expanded our offerings to include comprehensive courses in commerce-related subjects such as economics, business studies, mathematics, and accountancy. In addition to these core subjects, we also provide specialized preparation for entrance exams like CUET, IIM, and NLU, catering to students aspiring to attend prestigious institutions. With two offline centers, AC Centre and DC Centre, along with a robust online platform, we ensure accessible, high-quality education for all our students. Show more Show less

Job Description And Responsibilities Automate manual data processes to enhance efficiency and reduce errors. Integrate data from multiple sources to enable real-time updates and minimize manual work. Collect, clean, validate and maintain data to ensure accuracy and consistency. Analyze large datasets to identify trends, patterns, and opportunities for growth. Create and maintain dashboards and reports for internal stakeholders. Translate complex data into clear, actionable insights for business decision-making. Collaborate with cross-functional teams (Product, Marketing, Finance, Operations) to meet analytical needs. Deliver ad-hoc reports and insights to support operational and strategic initiatives. Partner with stakeholders to understand requirements and provide meaningful data solutions. Required Qualifications Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or related field. Strong knowledge of statistical techniques and data mining. Proven experience (2+ years) as a Data Analyst or in a similar Skills : Dashboards creation & maintenance. Strong proficiency in SQL, Excel, and Google Sheets for data analysis and manipulation. Expertise in Python, including generating reports and automating data tasks. Skilled in creating and maintaining interactive dashboards using data visualization tools (e.g., Tableau, Power BI, or similar). Excellent analytical and problem-solving abilities with a keen eye for detail. Ability to work both independently and collaboratively in a team Skills : Basic understanding of deployment & server - good to have. Ability to Effective communicator with strong presentation skills, capable of conveying complex data insights clearly. Excellent communication and presentation skills. (ref:hirist.tech) Show more Show less

Designation : Engineer/Developer. Department : R & D Software. Experience : 02 to 03 years. Location : Gandhinagar, Gujarat (On-Site). Edu Qualification : B./B.Tech ( EC / Computer / IT). Key Responsibilities Design, code and debug applications using the latest version of Visual Studio. Develop and maintain graphical user interfaces (GUI) for software applications using C++ and VC++/MFC. Implement GUI features, including layout design, event handling and integration with backend systems. Demonstrate strong analytical and problem-solving skills to tackle challenging software development tasks. Work closely with 3D graphics, mathematics and image processing components to integrate and display data effectively. Participate in code reviews and provide constructive feedback to team members. Document software designs, specifications and implementation details. Requirements/Skillsets Proficiency in C++ and VC++/MFC programming languages. Excellent knowledge of mathematical, Image processing and 3D geometrical algorithms. Strong analytical and problem-solving skills. Familiarity with the latest version of Visual Studio and its development tools. Excellent communication and teamwork abilities. (ref:hirist.tech) Show more Show less

Job Description We are looking for a passionate and curious AI/ML Engineer with an interest in Generative AI to join our innovative team. In this role, you will work on developing, fine-tuning, and deploying intelligent models and systems that solve real-world problems using the latest in artificial intelligence, machine learning, and large language models (LLMs). This is an excellent opportunity for early-career professionals to grow in the exciting field of AI/ML and generative AI technologies. Key Responsibilities Assist in the development, training, and evaluation of machine learning and deep learning models. Fine-tune pre-trained Large Language Models (LLMs) like GPT, BERT, LLaMA, etc., for specific use cases. Work with datasets: collection, preprocessing, augmentation, and analysis. Participate in model optimization, deployment (e.g., via APIs), and performance monitoring. Taking responsibility for driving all aspects of implementation, quality assurance, continuous integration and deployment, and application monitoring. Required Skills Strong understanding of machine learning, deep learning, and generative AI concepts. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Exposure to NLP techniques and transformer models (e.g., GPT, BERT). Basic understanding of model training, evaluation metrics, and deployment pipelines. Knowledge of data preprocessing, cleaning, and visualization techniques. Strong hands-on experience in working with SQL databases. Good To Have Hands-on experience with Generative AI models (e.g., GPT, DALL-E, etc.). Familiarity with LangChain, LlamaIndex, or other LLM frameworks. Experience working with Hugging Face, OpenAI, or similar APIs. Understanding of prompt engineering and fine-tuning strategies. Exposure to MLOps tools (e.g., MLflow, Weights & Biases, DVC). Participation in AI/ML competitions (e.g., Kaggle) or contribution to open-source projects. Qualification Education : B.Tech M.Tech or MCA 1-2 years of professional or academic project experience in AI/ML. Preferably should have done some certification / courses / Formal training Solid understanding of mathematics related to data science probability, statistics, linear algebra, etc. Experience in building end-to-end ML and/or AI and/or Generative AI projects. Excellent Communication skills oral and written Should have the mindset to work in a startup culture. (ref:hirist.tech) Show more Show less

Skills: Mathematics, Curriculum Development, Academic Writing, Lecture Delivery, Learning Management Systems, Classroom Management, Research, Student Advising, Responsibilities Teach undergraduate and/or graduate mathematics courses. Engage in scholarly research and publish in peer-reviewed journals Seek external funding to support research and/or educational initiatives Supervise undergraduate and graduate student research Participate in curriculum development and departmental activities Provide academic advising and mentorship to students Serve on departmental, college, and university committees Show more Show less

About Emperen Technologies Emperen Technologies is a consulting company founded in 2010, focusing on delivering real results for clients. With a client-centered, values-driven approach, we have successfully implemented the visions of Fortune 500, non-profit, and startup companies. Our scalable delivery model provides the flexibility needed to navigate the ever-changing technological landscape, attracting top talent to our team. Role Description This is a contract hybrid role for a Quantitative Developer. The Quantitative Developer will be responsible for tasks related to Trading, Quantitative Analytics, Quantitative Finance, Mathematics, and Statistics. Responsibilities Develop, implement, and maintain quantitative models and algorithms for trading, risk management, and financial analysis. Design and build high-performance systems for trading and financial applications. Collaborate with quantitative analysts, traders, and other stakeholders to understand business requirements and translate them into technical solutions. Write efficient, robust, and well-documented code in C++ and/or C#. Optimize existing code and systems for performance and scalability. Conduct thorough testing and validation of models and systems. Contribute to the development of software development best practices. Support the integration of new algorithms into existing trading infrastructure. Conduct code reviews, assist in troubleshooting, and debug issues in production systems. Participate in the documentation of processes and systems. Qualifications Experience in Trading, Quantitative Analytics, and Quantitative Finance. Proficiency in programming languages such as C++ and C# (Must-have). Experience in financial markets and derivatives. Required Skills And Qualifications Minimum 3 years of professional programming experience in C# or C++. Strong expertise in implementing complex algorithms and high-performance systems. Solid understanding of efficient coding practices and optimization techniques. 3+ years of experience developing and supporting critical applications within financial institutions or extensive experience in similarly complex industries. Good understanding of financial domain concepts, systems, and tools. Experience with version control systems (e.g., Git). Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Key Skills C#, C++ Algorithms, High-Performance Computing Financial Applications System Optimization, Fintech, Hybrid Development Teams, Domain Collaboration. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Statistics, Financial Engineering, or a related quantitative field. Experience with scripting languages such as Python. Knowledge of database systems (SQL, NoSQL). Familiarity with cloud computing platforms (e.g., AWS, Azure). Experience with Agile development methodologies. (ref:hirist.tech) Show more Show less

Basic Qualifications Post-Graduate degree in engineering, computer science, or mathematics, and 5+ years of related experience. Deep theoretical knowledge and hands-on experiences in computer vision, image processing and machine learning including scale invariant descriptors, high-dimension classifiers, Deep learning methods. Experience with OCR and document lifecycle management Ability to rapidly prototype and evaluate algorithms Ability to develop practical solutions to complex problems Strong technical expertise in C++ Understanding of Multi-threading, concurrency, parallelism and synchronization Experience with code and memory profiling tools and practices Experience with build and configuration tools Experience in Distributed computing platforms will be a plus Excellent written and verbal technical communication. Able to explain complex solutions in easy-to-understand terms Resourceful, collaborative, creative, results driven and adaptable team player. Preferred Qualifications PhD / MTech in computer vision, machine learning, or related discipline, with at least 2 years of industry experience Experience in Distributed computing platforms Experience in developing small foot print vision algorithms on Mobile platforms Ram Mobile : +91 98 1845 4080 / 98 6860 9864 (ref:hirist.tech) Show more Show less

GCP Data Engineer We are looking for a GCP Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. You will work on building and optimizing data workflows, implementing robust data solutions using Google Cloud Platform (GCP) technologies, and collaborating closely with cross-functional teams to deliver high-impact, data-driven insights. This role requires a deep understanding of data architecture, GCP ecosystem, ETL/ELT processes, and the ability to lead, mentor, and execute with precision. Key Responsibilities Design, build, and maintain robust data extraction, transformation, and loading (ETL/ELT) pipelines across both on-premises and cloud platforms. Develop and support data products, pipelines, and analytical platforms leveraging GCP services. Perform application impact assessments, requirement reviews, and provide accurate work estimates. Create test strategies and implement site reliability engineering (SRE) measures for data systems. Participate in agile development sprints and contribute to solution design reviews. Mentor and guide junior Data Engineers on best practices and design patterns. Lead root cause analysis and resolution of critical data operations and post-implementation issues. Conduct technical data stewardship activities, including metadata management, data security, and privacy-by-design principles. Use Python and GCP technologies to automate data workflows and transformations. Work with SQL for data modeling, transformations, and analytical queries. Automate job scheduling and orchestration using Control-M, Apache Airflow, or Prefect. Write Unix shell scripts to support automation and monitoring of data operations. Support BI/analytics teams with structured and well-modeled data. Use Infrastructure as Code (IaC) tools like Terraform, Ansible, or Puppet for automated deployments and configuration management. Required Skills & Technologies Strong experience with Python, SQL, and Unix/Linux scripting. Proficient in GCP Data Services. Experience in designing and managing ETL/ELT pipelines across hybrid environments. Working knowledge of orchestration tools: Apache Airflow, Control-M, or Prefect. Understanding of modern data warehousing and cloud-based analytics architecture. Familiarity with Infrastructure-as-Code using Terraform, Puppet, or Ansible. Strong debugging and problem-solving abilities in complex data environments. Ability to work in Agile teams and deliver in short sprint cycles. Qualifications Bachelors degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field. 4+ years of hands-on experience in data engineering. 2+ years of experience in data architecture and solution design. GCP Certified Data Engineer certification is preferred. Excellent communication skills and the ability to collaborate with cross-functional teams. (ref:hirist.tech) Show more Show less

Job Title : Mid-Level Data Analyst Location : Hyderabad, Telangana Job Type : On-Site Must be an immediate joiner Job Overview We are seeking a Mid-Level Data Analyst with strong SQL skills and proven analytical abilities to join our growing team. The ideal candidate will have a deep understanding of data manipulation and be skilled in providing actionable insights through data analysis. You will play a key role in transforming complex data into meaningful reports, dashboards, and visualizations that drive strategic decision-making. You will collaborate closely with cross-functional teams to identify business needs and contribute to optimizing operational efficiency. Key Responsibilities Data Analysis & Reporting : Analyze large datasets using SQL and other tools to identify trends, patterns, and insights that support business decision-making. SQL Querying : Write complex SQL queries to extract, manipulate, and summarize data from multiple databases. Optimize queries for performance and scalability. Cross-Functional Collaboration : Work closely with business units to understand their data needs and provide relevant insights for data-driven decisions. Education : Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Business, or a related field. Experience : 2-4 years of experience in data analysis, data manipulation, or related fields. Technical Skills SQL : Strong proficiency in SQL for querying large datasets, including writing complex joins, subqueries, and aggregations. Analytical Skills : Strong problem-solving abilities focusing on identifying insights from data that drive business outcomes. Communication : Excellent written and verbal communication skills, with the ability to translate complex data findings into actionable insights for non-technical stakeholders. (ref:hirist.tech) Show more Show less

Job Description Primary Responsibilities Support in establishing frameworks to standardize, productize and scale existing and new capabilities / analytical solutions Implement the vision, roadmap, and best practices for the Data Science Center of Excellence (CoE) to align with business goals Support establishing governance frameworks to measure the value of products, standardize data science methodologies, coding practices, and project workflows Work with senior CoE members in development and maintenance of best practices for model and algorithm development and design, deployment, and monitoring across the enterprise functions Collaborate with product team on product development incorporating Agile framework and latest industry best practices and norms Support in development of MLOps and ModelOps frameworks to streamline the development-to-deployment product pipeline Drive innovation by identifying, evaluating, and implementing cutting-edge data science methodologies based on latest published literature Qualifications Education & Work Experience Requiremen ts Master’s degree (relevant field like Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience. Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience Prior experience in research publications in reputed journal is a plus Skillset Candidates must have - Strong programming skills in languages such as Python or R, and SQL with experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, stats models) Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, propensity score matching etc. Exposure to product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements Strong problem solving, business analysis and quantitative skills Ability to effectively communicate proposals to key stakeholders Candidates are desired but not mandatory to have - Experience and familiarity with underlying concepts such as Patient analytics, MMx etc. Understanding of Pharma commercial landscape will be a plus Experience working with healthcare, financial, or enterprise SaaS products Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/12/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R341750 Show more Show less

Key Responsibilities Developing engaging and interactive lesson plans that cater to students of all learning styles Providing one-on-one support to students who may be struggling with mathematical concepts Assessing student progress and adjusting teaching methods accordingly Incorporating real-world applications of mathematics to make learning more relevant and interesting Collaborating with colleagues to share best practices and improve overall teaching strategies Communicating effectively with parents and guardians to provide updates on student progress Staying current with the latest educational trends and technologies to enhance the learning experience for students About Company: We provide technology-driven integrated solutions that enable our clients to monitor and administrate educational institutions through current technologies, keeping parents updated on students' school activities. We ensure there is no miscommunication between parents and educational institutions. The combination of a thorough process, comprehensive experience, and expansive creative vision enables us to create solutions that are innovative, usable, reliable, and beneficial for both parents and educational institutions. Show more Show less

📢 We’re Hiring: Maths Teacher Location: [Kattalguda] Job Type: [Full-time] Institution: [School] Salary: [upto 35k] --- 🧮 Job Description: We are looking for a passionate and experienced Maths Teacher to join our academic team. The ideal candidate should have strong subject knowledge and the ability to engage students in creative and effective learning methods. --- ✅ Key Responsibilities: Teach Mathematics to students of [Mention Grade Level: e.g., 6th–10th or 11th–12th] Prepare lesson plans and assessments Track student progress and provide feedback Foster a positive learning environment --- 📘 Requirements: Bachelor’s or Master’s degree in Mathematics or related field B.Ed. preferred (if school-based) Prior teaching experience is an advantage Good communication and classroom management skills --- 🕘 Working Hours: [8.45am to 4.30pm] --- 📞 How to Apply: Send your resume to [WhatsApp number 9848126449] or contact us at [9848126449] for more details.

All work related to accounts , Tally and Busy software knowledge , Mathematics calculation should come

Company: Big Imports & Gifts Big Imports and Gifts, also known as BigImpex, is a leading corporate gift supplier established in Mumbai in 2003. With 150+ team members across BigImpex, Gokaldas Packaging, and Zexcel Medical Communications, we aim for excellence in every partnership. We specialize in creating innovative and custom-designed products to serve our clients’ unique needs with the goal of helping our clients build stronger brands through high-quality corporate gifts. LOCATION: Bandra/ MumbaiOrder Co-Ordinator Role Definition As an Order management/Operations person you are responsible for all aspects of order processing. This includes everything from entering new orders to inspecting shipments to managing customer satisfaction and more. You must also work with other departments as needed and direct warehouse personnel to get shipments out. Responsibility Deliverable 1. Developing & Executing Order Management Strategies 2. Data Management 3. Developing skills & business knowledge Tasks and Activities 1. Developing & Executing Order Management Strategies: Coordinating with Internal Team/Clients/Suppliers & Vendors for Order processing, Maintaining good relationships with all Stakeholders (Internal Team, Clients/Suppliers/Vendors, etc.) Review order Terms & conditions with customers to comply company policy, Negotiate with suppliers, vendors, and other representatives to procure best prices and quickest service for equipment & supplies, Tracking Purchase orders with suppliers & Orders in process (Sales), Monitoring and Navigating the Logistic system/Transporters for Dispatching details 2. Data Management Maintain and verify appropriate paper work and carry out specified requests, Keep track of Inventory and supplies before completing customer orders, Maintaining Invoice & Performa Records and Uploading the same on company portals or handing it over to the respective Teams, 3. Developing skills & business knowledge Supporting the Senior Manager Operations in delivering agreed activities, Attending internal meetings not only for better understanding of the company but also to improve further planning for Order Management. Measurement Metrics 98% of orders should go on time No of complaints/rejection No of orders handled on time No of delayed orders Skills Required: Good Spoken and Written English Good Communication and Interpersonal Skills Proficient in Ms. Office Excel Strong Multi-tasking ability Efficient Time Management Good knowledge of Mathematics Documentation and Data Management Skills

📋 Key Responsibilities:Collect, clean, and validate data from various sources Perform basic data analysis using Excel, SQL, or Python Create dashboards and reports using Power BI/Tableau Assist in identifying trends, patterns, and insights Present findings to team members or stakeholders Maintain documentation for data sources, methodologies, and processes 💡 Skills Required:Strong Excel and Google Sheets skills Basic knowledge of SQL (queries, joins, filters) Familiarity with Python or R for data analysis (basic level) Exposure to data visualization tools (Power BI/Tableau preferred) Good communication and problem-solving skills Attention to detail and willingness to learn 🎓 Educational Qualification:Bachelor's degree in Computer Science, Statistics, Mathematics, BBA, BCA, or related field Additional certifications in Data Analytics or Excel are a plus 🚀 Growth Opportunities:Hands-on experience with live data and tools Exposure to industry-standard data projects Fast-tracked learning through mentorship and training