3337 Flask Jobs - Page 23

Roles and Responsibilities Design, develop, test, and deploy scalable and maintainable Python applications using Django or Flask frameworks. Collaborate with cross-functional teams to identify requirements and implement solutions that meet business needs. Develop high-quality REST APIs services using Python's built-in libraries such as requests and responses. Ensure code quality by writing unit tests, integrating with CI/CD pipelines, and following best practices for coding standards. Participate in Agile development methodologies to deliver projects on time. Desired Candidate Profile 4-8 years of experience in software development with a focus on Python programming language. Strong understanding of object-oriented programming concepts and design patterns. Proficiency in building web applications using Django or Flask frameworks. Experience working with databases (SQL) for data storage and retrieval.

ECMS# * 529575 Number of openings 3 Job Title* Python Developer Work Location (with ZIP code for US) Bagmane Constellation Business Park, Ferns City, Doddanekkundi, Bengaluru, Karnataka 560048 Vendor Rate* 8500 INR per day Contract duration (in months)* 6 - 12 months Job Description Mandatory Skill: 5+ years development experience in Python Good knowledge in software development & Testing Ready to work from Google Bangalore office Python development Experience 5+ Years

Core Python Skills API Development Frameworks Database Integration - Proficiency in writing efficient SQL queries Testing for APIs - Proficiency in writing unit tests and integration tests for APIs Cloud Platforms Amazon Web Services (AWS) Required Candidate profile Data Serialization and Validation Proficiency in working with JSON, XML, and YAML data validation libraries (e.g., Marshmallow, Pydantic) Proficiency in MS Excel Proficiency in MS PowerPoint

Job Description: We are seeking a experienced AWS Fullstack Developer with a strong focus on backend development using Python. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications and services on the AWS platform. Responsibilities: • Develop and maintain backend services and APIs using Python and related frameworks (e.g., Django, Flask). • Develop and maintain front-end components using modern JavaScript frameworks (e.g., React, Angular, Vue.js). • Ensure responsive design and cross-browser compatibility of web applications. • Design and implement serverless applications using AWS services such as Lambda, API Gateway, and Step Functions. • Collaborate with front-end developers to integrate user-facing elements with server-side logic. • Manage and optimize databases (e.g., DynamoDB, RDS) and ensure data integrity and security. • Implement and maintain CI/CD pipelines using GitHub actions and terraform. • Monitor and troubleshoot application performance and security issues. • Write clean, maintainable, and testable code following best practices and coding standards. • Stay updated with the latest industry trends and AWS services to continuously improve the application architecture.

Designation: Computer Vision Engineer Location: Gurgaon Salary: Upto 35 LPA Working: 5 Days Experience: 5+ Years Key Responsibilities: -Design and fine-tune deep learning models for Text2SQL, TTS, and image generation tasks -Build and optimize Generative AI models using GPT, BERT, T5, Claude, and similar LLMs -Work with GANs (e.g., Wav2Lip, LipSync) for audio-visual synthesis -Leverage NVIDIA frameworks like Triton and Omniverse -Integrate AI models into scalable applications with optimal performance -Fine-tune models for domain-specific use cases with a focus on accuracy -Research advancements in NLP and diffusion models for fashion-based image generation -Deploy and maintain AI solutions in production environments -Build Retrieval-Augmented Generation (RAG) systems for better knowledge retrieval -Use and manage vector/graph databases to support AI implementations -Apply basic computer vision and image processing in real-world projects -Benchmark AI model performance using standard metrics and datasets -Develop custom object detection pipelines (YOLOv8, Faster R-CNN, SSD) -Work closely with engineers, scientists, and stakeholders to meet business needs Required Skills & Qualification: -5+ years in AI/ML with a focus on Generative AI and LLMs -Expert in Python, C++, and JavaScript -Strong with PyTorch, TensorFlow, and Keras -Experience in NLP, transformer models, and deep learning -Knowledge of ML Ops tools is a plus -Familiar with AWS, GCP, or Azure for cloud deployments -Experience with RAG systems, vector (e.g., Faiss, Pinecone) & graph databases (e.g., Neo4j) -Strong foundation in computer vision, CNNs, and object detection -Familiar with OpenCV, PIL, and Agentic AI tools (LangGraph, CrewAI, AutoGen) -Proficient in Flask, FastAPI, and WebSocket for serving AI models -Strong grasp of benchmarking standards like GLUE, ImageNet, BLEU, ROUGE, COCO

Design, develop, and maintain scalable and performant frontend and backend systems. Build responsive and dynamic UI components using React and TypeScript Develop APIs and backend logic using Python and PHP(Laravel/WordPress/custom frameworks) Required Candidate profile Proficiency in React with TypeScript. Strong backend development experience with Python and PHP. Good understanding of modern software development practices (Agile/Kanban).

As a Watson AI Deveoper, you woud be responsibe for deveoping and depoying chaenging AI /Chatbot soutions using IBM Watson suite of products with fair knowedge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversationa use cases. Work for smooth deivery of assigned projects Research and impement appropriate Watson AI agorithms and toos Design and soutioning of new requirements Deveop machine earning appications according to requirements Abiity to work independenty and as part of a team in a fast-paced, dynamic deveopment environment. Mentor / ead team in the engagements Be a hands-on person and deiver. Wi be invoved in product instaation/ configurations, troubeshooting (performance, 3rd party integrations, security) Based on customer requirements, deiver the depoyment Work across timezones based on customer requirements Required education Bacheor's Degree Preferred education Bacheor's Degree Required technica and professiona expertise 10+ years’ experience of overa experience 4+ years Experience in AI and ML technoogy Knowedge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Sou Machines Digita Avatar Integrations Any courses on Coud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, wiingness to earn, hardworking and expore/pick-up the skis on their own. Working knowedge on Linux (RHEL, CoreOS, Ubuntu) Depoying software’s on top of Linux and troubeshoot inux reated issues. Good hands-on She scripting, Python, Ansibe, Java Working knowedge with Git, ecipse, docker/podman, kubernets, Jenkins. Knowedge on Dev/ops & Monitoring. Preferred technica and professiona experience NA

Job Title: Full Stack Developer Experience: 4–5 Years Location: Kolkata (Hybrid) Employment Type: Full-Time Job Summary: We're looking for a Full Stack Developer to design, build, and maintain modern web applications using both frontend and backend technologies. Key Responsibilities: Build responsive UIs with React. Develop RESTful APIs and backend logic using Node.js/Java/Python. Integrate databases (MongoDB, MySQL, PostgreSQL). Collaborate in Agile teams and participate in code reviews. Optimize performance, security, and scalability of applications. Requirements: 4–5 years in full stack development. Strong in JavaScript, HTML, CSS, React,Nodejs, Springboot, Flask or Django and modern frameworks . Experience with backend development and API integration. Familiar with Git, Docker, CI/CD workflows. Nice to Have: Cloud experience Azure. DevOps or automation knowledge. Job Types: Full-time, Permanent Pay: ₹636,796.27 - ₹713,924.77 per year Experience: React: 4 years (Preferred) Location: Kolkata, West Bengal (Preferred) Work Location: In person

Position: : Senior Python Developer Location: Kochi, Kerala Job Type: Full-time (Hybrid) Experience: 5+ Years We are looking for an experienced Senior Python Developer with a solid foundation in mathematics to join our innovative team. In this role, you will tackle complex challenges, design robust algorithms, and build scalable software solutions that drive impactful results. We value a commitment to clean code, mathematical precision, and efficient system architecture. Key Responsibilities: • Design, develop, and maintain scalable, high-performance Python applications. • Collaborate with cross-functional teams, including global stakeholders, data scientists, analysts, and engineers. • Analyze large datasets to derive meaningful insights and enhance system functionality. • Mentor junior developers and foster skill development within the team. Must-Have Skills: • Proficient in Python with strong experience in frameworks like Django or Flask. • Hands-on experience with cloud platforms such as AWS, Azure, or GCP. • Proficiency with both SQL and NoSQL databases. • Expertise in numerical and scientific computing libraries (Numpy, Scipy, Sympy), Pandas and PySpark. Nice-to-Have Skills: • Familiarity with machine learning frameworks such as TensorFlow or PyTorch. Join us to work on challenging projects and contribute to building innovative solutions in a dynamic and collaborative environment!

Naresh IT KPHB branch is hiring for an experienced trainer for offline FS Python.Candidate should be strong in Core & Advanced Python along with DJango and should have rich experience in giving classroom training.Mandatory to have training experience

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. This position requires expertise in designing, developing, debugging, and maintaining AI-powered applications and data engineering workflows for both local and cloud environments. The role involves working on large-scale projects, optimizing AI/ML pipelines, and ensuring scalable data infrastructure. As a PMTS, you will be responsible for integrating Generative AI (GenAI) capabilities, building data pipelines for AI model training, and deploying scalable AI-powered microservices. You will collaborate with AI/ML, Data Engineering, DevOps, and Product teams to deliver impactful solutions that enhance our products and services. Additionally, it would be desirable if the candidate has experience in retrieval-augmented generation (RAG), fine-tuning pre-trained LLMs, AI model evaluation, data pipeline automation, and optimizing cloud-based AI deployments. Responsibilities AI-Powered Software Development & API Integration Develop AI-driven applications, microservices, and automation workflows using FastAPI, Flask, or Django, ensuring cloud-native deployment and performance optimization. Integrate OpenAI APIs (GPT models, Embeddings, Function Calling) and Retrieval-Augmented Generation (RAG) techniques to enhance AI-powered document retrieval, classification, and decision-making. Data Engineering & AI Model Performance Optimization Design, build, and optimize scalable data pipelines for AI/ML workflows using Pandas, PySpark, and Dask, integrating data sources such as Kafka, AWS S3, Azure Data Lake, and Snowflake. Enhance AI model inference efficiency by implementing vector retrieval using FAISS, Pinecone, or ChromaDB, and optimize API latency with tuning techniques (temperature, top-k sampling, max tokens settings). Microservices, APIs & Security Develop scalable RESTful APIs for AI models and data services, ensuring integration with internal and external systems while securing API endpoints using OAuth, JWT, and API Key Authentication. Implement AI-powered logging, observability, and monitoring to track data pipelines, model drift, and inference accuracy, ensuring compliance with AI governance and security best practices. AI & Data Engineering Collaboration Work with AI/ML, Data Engineering, and DevOps teams to optimize AI model deployments, data pipelines, and real-time/batch processing for AI-driven solutions. Engage in Agile ceremonies, backlog refinement, and collaborative problem-solving to scale AI-powered workflows in areas like fraud detection, claims processing, and intelligent automation. Cross-Functional Coordination and Communication Collaborate with Product, UX, and Compliance teams to align AI-powered features with user needs, security policies, and regulatory frameworks (HIPAA, GDPR, SOC2). Ensure seamless integration of structured and unstructured data sources (SQL, NoSQL, vector databases) to improve AI model accuracy and retrieval efficiency. Mentorship & Knowledge Sharing Mentor junior engineers on AI model integration, API development, and scalable data engineering best practices, and conduct knowledge-sharing sessions. Education & Experience Required 12-18 years of experience in software engineering or AI/ML development, preferably in AI-driven solutions. Hands-on experience with Agile development, SDLC, CI/CD pipelines, and AI model deployment lifecycles. Bachelor’s Degree or equivalent in Computer Science, Engineering, Data Science, or a related field. Proficiency in full-stack development with expertise in Python (preferred for AI), Java Experience with structured & unstructured data: SQL (PostgreSQL, MySQL, SQL Server) NoSQL (OpenSearch, Redis, Elasticsearch) Vector Databases (FAISS, Pinecone, ChromaDB) Cloud & AI Infrastructure AWS: Lambda, SageMaker, ECS, S3 Azure: Azure OpenAI, ML Studio GenAI Frameworks & Tools: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, AutoGPT, CrewAI. Experience in LLM deployment, retrieval-augmented generation (RAG), and AI search optimization. Proficiency in AI model evaluation (BLEU, ROUGE, BERT Score, cosine similarity) and responsible AI deployment. Strong problem-solving skills, AI ethics awareness, and the ability to collaborate across AI, DevOps, and data engineering teams. Curiosity and eagerness to explore new AI models, tools, and best practices for scalable GenAI adoption. About Athenahealth Here’s our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. What’s unique about our locations? From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India — plus numerous remote employees — all work to modernize the healthcare experience, together. Our Company Culture Might Be Our Best Feature. We don't take ourselves too seriously. But our work? That’s another story. athenahealth develops and implements products and services that support US healthcare: It’s our chance to create healthier futures for ourselves, for our family and friends, for everyone. Our vibrant and talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work. Our size makes a difference, too: We are small enough that your individual contributions will stand out — but large enough to grow your career with our resources and established business stability. Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth’s Corporate Social Responsibility (CSR) program, we’ve selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement. What can we do for you? Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And we provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.

Location: Vadodara Type: Full-time / Internship Duration (for interns): Minimum 3 months Stipend/CTC: Based on experience and role About Gururo Gururo is an industry leader in practical, career-transforming education. With a mission to empower professionals and students through real-world skills, we specialize in project management, leadership development, and emerging technologies. Join our fast-paced, mission-driven team and help build scalable, intelligent platforms that impact thousands globally. Who Can Apply? Interns: Passionate learners currently pursuing or recently completed a degree in Computer Science or related fields. Freshers: 0–1 years of experience with project/internship exposure to full stack development. Experienced Developers: 1+ years of professional experience in full stack development with a proven portfolio. Key Responsibilities Develop, test, and maintain responsive front-end applications using React.js, Next.js, or Vue.js Build and maintain RESTful APIs using Node.js, Express.js, or Python (Django/Flask) Work with relational or NoSQL databases like MongoDB, MySQL, or PostgreSQL Collaborate with the design, product, and marketing teams to roll out scalable features Optimize applications for performance, scalability, and usability Integrate 3rd-party tools and APIs (e.g., payment gateways, analytics, email systems) Participate in code reviews, testing, and deployment cycles Write clean, maintainable code and follow best practices (Git, CI/CD, testing) ✅ Must-Have Skills Proficient in HTML, CSS, JavaScript Strong understanding of React.js, Node.js, or equivalent frameworks Familiarity with Git, REST APIs, and basic DevOps Experience with any database (MongoDB, MySQL, PostgreSQL, etc.) Understanding of web security and performance best practices A strong problem-solving mindset 🌟 Good to Have (Optional) Experience with WordPress, Shopify, or LMS platforms Knowledge of TypeScript, Next.js, or GraphQL Hands-on with cloud platforms like AWS, Firebase, or DigitalOcean Experience with Agile/Scrum development 📈 What You’ll Gain Opportunity to work with an experienced team on real-world EdTech products Certificate of Internship/Experience & Letter of Recommendation (for interns) Fast growth opportunities and leadership responsibilities for strong performers Flexible work hours and performance-based benefits Exposure to full product lifecycle from ideation to deployment

E2M is not your regular digital marketing firm. We're an equal opportunity provider, founded on strong business ethics and driven by more than 300 experienced professionals. Our client base is made of digital agencies that need help with solving their bandwidth problems, cutting overheads, and increasing profitability. We need diligent professionals like you to help us help them. If you're someone who dreams big and has the gumption to make them come true, E2M has a place for you. Job Overview We are looking for a Python Developer to contribute to building automation and AI tools that enhance operational efficiency. You will focus on developing backend systems that support data analysis, automation workflows, and AI model integration. Key Responsibilities Backend Development: Independently build and maintain scalable backend applications using Python. AI Integration: Work with AI/ML engineers to integrate machine learning models. Automation: Develop scripts and tools to automate workflows and processes. Database Management: Design and manage databases to support applications. Optimization: Ensure high performance and responsiveness of applications. Collaboration: Coordinate with cross-functional teams for seamless integration. Specific Technologies And Tools Frameworks: Django, Flask, FastAPI. Databases: PostgreSQL, MySQL, MongoDB. Cloud Platforms: AWS (Lambda, EC2), Azure, or GCP. Containerization: Docker. Testing Tools: PyTest, Unittest. APIs: RESTful services, GraphQL. Methodologies And Best Practices Agile Development: Experience with Scrum methodologies. CI/CD: Familiarity with Jenkins, GitLab CI/CD. Code Quality: Use of linters and adherence to PEP 8 standards. Documentation: Strong documentation practices. Soft Skills Problem-Solving: Excellent analytical skills for troubleshooting. Independence: Ability to work autonomously with minimal supervision. Communication: Clear and effective communicator. Learning Mindset: Eagerness to stay updated with the latest Python technologies. Team Player: Willingness to collaborate and share knowledge. Qualifications Proficiency in Python and associated frameworks like Flask or Django. Experience with AI/ML libraries and tools is a plus. Knowledge of databases, cloud services, and scalable architectures. Interest in AI and automation solutions. Experience Required 4+ years of experience in Python development. Proven ability to independently manage backend development, particularly in automation. Experience with cloud services (AWS/Azure) and scalable architectures. Strong knowledge of AI/ML libraries is a plus, along with an interest in automation tools.

Company Description SOPEONOW is a healthcare technology company focused on enabling healthcare providers to utilise real-time data to enhance patient care, service, and safety. Our mission is to harness the power of data and machine intelligence to achieve the highest standards in healthcare delivery. We provide consolidated and readily available real-time information to leaders in the healthcare industry, empowering them to make informed decisions and improve every patient experience. About the Role We’re hiring a passionate Python Developer to design, develop, and optimise high-performance applications. Whether it’s backend systems, data pipelines, automation, or APIs, you’ll play a key role in shaping our technical landscape. Key Responsibilities · Application Development: Build, test, and maintain Python-based applications, scripts, and tools. · Backend Services: Develop RESTful APIs and microservices using frameworks like Django, Flask, or FastAPI. · Data Processing: Implement solutions for data analysis, ETL pipelines, or machine learning integration (Pandas, NumPy, etc.). · Automation: Create scripts to streamline workflows, deployments, or system tasks. · Database Integration: Work with SQL (Postgresql, Mysql) or Nosql (Mongodb) databases and ORM libraries. · Code Quality: Write clean, modular code with unit tests (pytest, unittest) and documentation. · Collaboration: Partner with cross-functional teams (frontend, DevOps, data scientists) to deliver end-to-end solutions. · Performance Tuning: Optimise applications for speed, scalability, and resource efficiency. · Security: Apply best practices for secure coding and data protection. · Deployment: Use Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure) for deployment. Requirements Technical Skills: 2+ years of professional Python development experience. Proficiency in Python frameworks (Django, Flask, FastAPI) and libraries. Experience with relational/non-relational databases. Familiarity with RESTful API design and integration. Version control (Git) and CI/CD pipelines. Basic understanding of front-end technologies (HTML, CSS, JavaScript). Soft Skills: An analytical thinking and problem-solving mindset. Strong communication and teamwork abilities. Education: Bachelor’s in Computer Science, Engineering, or equivalent experience. Preferred Qualifications Experience with data science libraries (Pandas, NumPy, SciPy). Knowledge of machine learning frameworks (TensorFlow, PyTorch). DevOps skills (Docker, Kubernetes, Jenkins). Familiarity with asynchronous programming (asyncio, Celery). Experience with cloud-native development (AWS Lambda, serverless). Contributions to open-source Python projects or a strong GitHub portfolio. Equal Opportunity Employer: SOPEONOW celebrates diversity and is committed to creating an inclusive environment for all employees.

Title: Senior Back-End Engineer (Python) Location: Bangalore Azuga is a telematics IoT company building hardware and software to power the future of mobility. We are part of the innovation arm of Bridgestone, the world's largest tire manufacturer. Our SafetyIQ team is building a telematics data platform for extracting business-critical insightsfrom large-scale, complex IoT data. We are an agile and fast-moving team looking for a product-minded senior backend engineer who is passionate about building out ideas from concept toproduction-grade software. Minimum Qualifications: Bachelor's or Master's Degree in Computer Science(or related fields). Strong problem-solving abilities and communication skills 4+ years of experience working in Django/Flask. Proficiency in RDS(Postgres/MySQL) . Serverless technologies like AWS Lambda/ AWS StateMachines Preferred Qualifications: Familiarity with search engines like Elasticsearch. Experience with asynchronous systems like Celery/SQS . Experience with pub-sub systems like Kafka/Kinesis . Experience with caching mechanisms( Redis/Memcached ). Ability to learn other coding languages/technologies as needed. Experience in building scalable and distributed backend systems. Responsibilities: Translate business ideas/user stories into technical problems to solve. Architecting and implementing the back-end APIs for our services, creating and implementing database schemas that represent and support our business processes. Design systems for high accuracy, efficiency, and scalability. Contribute to production deployments, including documentation of technical estimates, and prioritization.ase notes. Communicate effectively with team members to facilitate understanding of deliverables, estimates, and prioritization. Reverse engineer for debugging errors in code and ensuring quality control in the process. Mentoring and guiding the team members.

About Bristol Myers Squibb: At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology, and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference. Position: Full Stack Developer II Location : Hyderabad, India At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology, and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference. Position Summary: At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology. We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care. If you want an exciting and rewarding career that is meaningful, consider joining our diverse team! As a Full Stack Developer II based out of our BMS Hyderabad you are part of the GDD Business Insights & Technology team that delivers data and analytics capabilities for RWD, Portfolio & Trial Operations functions. The ideal candidate will have a strong background in building, designing and improving the user experience of data products, platforms and services. The role involves a combination of creative and analytical skills, as well as an understanding of user behavior, and technology. Key Responsibilities: The Full Stack Developer II will be responsible for creating user and web applications using Python, SQL and React JS Write clean, efficient, and maintainable code while following best practices. Develop project and portfolio user interfaces like report visualizations and dashboards as a key capability and value driver User research: Conducting user research to understand user needs, behaviors, and pain points. This may involve surveys, interviews, and usability testing. Accountability and involvement in wireframing, prototyping, and creating high-fidelity designs to enhance user experience. Collaboration with stakeholders: Collaborating with product managers, Senior Data Visualization Engineer, Data Engineers, and other stakeholders to ensure that the user experience aligns with business objectives and technical requirements. Accessibility: Ensuring that digital products and services are accessible to users with disabilities and comply with accessibility guidelines. Help analyze data multiple sources of spectrum-related information, recommend and develop reports Staying up-to-date with industry trends: Keeping up-to-date with the latest trends and advancements in Engineering, UX design and technology, and applying this knowledge to enhance the organization's data pipeline and UX design capabilities. Serves as the Subject Matter Expert on Data pipelines and BI reporting Comfortable working in a fast-paced environment with minimal oversight Prior experience working in an Agile/Product based environment. Provides strategic feedback to vendors on service delivery and balances workload with vendor teams. Qualifications & Experience: Degree in Computer Science, Design & Engineering, Biotechnology, or a related field 3-5 years proven working experience of front-end and back-end technologies, including - Python, flask, SQL alchemy, sql, React.js, HTML, CSS, JavaScript, and RESTful APIs. Hands on experience on AWS Glue, Azure and Tableau is desired Experience with rapid wireframing, prototyping and storyboarding tools like Miro boards, and Adobe Creative Cloud Data Visualization Engineer tool set Knowledgeable in designing for both responsive and fixed size applications. Ability to wireframe, prototype, apply Design thinking principles and validate data products. At least 3 years technical expertise in product design and development, data visualization techniques Familiarity with database and ETL processes from Information management and consumption standpoint is needed is a plus Strong analytical and problem-solving skills Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus. Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site. Initiates challenging opportunities that build strong capabilities for self and team. Why You Should Apply: Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion, and integrity bring out the highest potential of each of our colleagues. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

Highlight of engagement opportunity: Nature of role: : Full time Number of years of experience expected: 2– 4 years Areas of past experience preferred: System deployment, DevOps engineer, Production analysis, System administration, SIEM tools Educational qualification expected: Graduate Additional qualifications/ certifications required: Microsoft SQL, RedHat, Linux, Redis, Azure, Docker Preferable additional certifications: None Application experience : Python (preferably Flask/Django knowledge), linux console, web servers (eg: nginx, gunicorn), azure, aws, microsoft sql Preferred geography of previous work experience: India/ Europe /APAC/ US Language requirements: Ability to write and speak fluently in English Key responsibility areas: Experience working in a production environment of significant scale. Experience working in a production environment of significant scale. Manage and monitor all installed systems and infrastructure Linux/Unix System Administration Knowledge of best practices and IT operations to maintain highly available cloud-native services. Deploy applications to client environment along with web server setups. Maintaining effective version control of applications across different deployments. Liaising with client teams for technical architecture availability and adherence to requirements Respond to issues raised by system users and liaise with necessary team members for resolution. Assist users in queries with respect to operational execution on the application. Connect with third-party application APIs for usage from Acies applications. Enhancement of technical capabilities of application to improve user functionality, computation speeds and security standards. Staying informed of latest developments in web applications and programming languages. Key performance metrics: Adherence to delivery timelines Quality of delivery – number of successful deployments, number of technical bugs fixed Adherence to the firm’s standards for processes and quality Effective communication with project stakeholders including status updates Client feedback Feedback from counselor and other team members Other important information: Work permit requirements: Either Indian Citizen or having valid work permit to work in India Period of engagement: Full-time Position Probation period: 6 months Compensation: Compensation varies depending on the skill, fitment and role played by the person. Compensation discussions will take place post the selection process. Performance incentives: Typically, all roles at Acies have a performance incentive. Specific aspects will be discussed during the compensation discussion Leave: 22 working days a year. Additional leaves for national holidays, sick leaves, maternity and paternity, bereavement and studies vary based on the city and country of engagement. Other benefits: Other employment benefits including medical insurance will be informed during the compensation discussion. Career growth for full-time roles: Acies believes in a transparent and data-based performance evaluation system. You are encouraged to clarify any questions you have with respect to career growth with Acies personnel you interact with during the selection process. Career opportunities for part-time roles: Conversion of part-time roles to full-time roles depends on both performance of the individual and business needs. You are encouraged to ask about the prospects as you interact with Acies personnel during the selection process. Global mobility: Acies encourages mobility across our offices. Such mobility is, however, subject to business needs and regulations governing immigration and employment in various countries. Selection process: We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows: Interview: There are expected to be at least 2 rounds of interviews. The number of interview rounds may increase depending on the criticality and seniority of the role involved. Final discussion on career and compensation: Post final selection, a separate discussion will be set up to discuss compensation and career growth. You are encouraged to seek any clarifications you have during this discussion. Preparation required: It is recommended that you prepare on the following aspects before the selection process: Understanding of python-based web application development framework Understanding of python-based libraries for parallel processing Demonstrate proficiency in use of back-end server-side languages like Python Demonstrate proficiency in database technology such as MSSQL For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at https://www.acies.consulting/contact-us.php or e-mail us at careers@acies.consulting. How to reach us: Should you wish to apply for this job, please reach out to us directly through LinkedIn or apply on our website career page - https://www.acies.consulting/careers.php

Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief introduction - Role Summary/Purpose: The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities: Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications: Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications: Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167665 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief introduction - Role Summary/Purpose: The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities : Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications : BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications : Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167670 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Data Scientist, Global Data Science Brief introduction - Role Summary/Purpose (3-4 sentences max.): The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities (4-6 bullet points): Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications (3-5 bullet points): BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications (3-5 bullet points): Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167666 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief introduction - Role Summary/Purpose: The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities: Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications: BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications: Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167667 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief introduction - Role Summary/Purpose: The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities: Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications: BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications: Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167669 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Data Scientist, Global Data Science Brief introduction - Role Summary/Purpose (3-4 sentences max.): The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities (4-6 bullet points): Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications (3-5 bullet points): BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications (3-5 bullet points): Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Job Title: Full-Stack Developer – React & Python Location: Remote Experience Required: 4+ Years Employment Type: Contract Job Overview We are seeking a talented and experienced Full-Stack Developer with a strong command of React (frontend) and Python (backend) to join our engineering team. The ideal candidate will have proven experience in building high-performance web applications, scalable backend systems, and cloud-deployed solutions. You’ll work closely with product managers, designers, and DevOps teams to build modern, end-to-end applications using best-in-class technologies. Key Responsibilities Design and develop responsive and dynamic web applications using React.js. Build robust and scalable RESTful and GraphQL APIs using Python (preferably Django or Flask). Architect and implement backend services and database models to support new and existing features. Ensure high performance and responsiveness across both frontend and backend. Integrate third-party services and APIs to enhance functionality. Collaborate with DevOps to define and maintain CI/CD pipelines and automate deployments. Optimize application performance and scalability, both in local and cloud environments. Participate in code reviews, design discussions, and technical planning. Write clean, maintainable, and testable code following industry best practices. Required Skills & Qualifications 4+ years of full-stack development experience. Strong frontend experience with React.js, including state management libraries (Redux, Context API, etc.). Proficient in Python, with experience in frameworks like Django or Flask. Solid understanding of REST APIs and GraphQL, including schema design and client integration. Familiarity with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB). Hands-on experience with CI/CD pipelines, Git-based workflows, and DevOps best practices. Experience deploying applications on cloud platforms such as AWS, Azure, or GCP. Knowledge of containerization (Docker) and orchestration tools (Kubernetes is a plus). Strong problem-solving and debugging skills. Good communication skills and the ability to work in a fast-paced, collaborative environment. Nice To Have Experience with serverless architectures. Familiarity with TypeScript and modern React features (Hooks, Suspense, etc.). Exposure to testing frameworks (Jest, PyTest, etc.). Prior experience in Agile/Scrum environments. Skills: nosql,flask,postgresql,ci/cd pipelines,context api,skills,react,kubernetes,graphql,react.js,docker,cloud,gcp,redux,cd,aws,mongodb,azure,python,pytest,sql,devops,rest apis,ci,typescript,git,jest,django

We are looking for a software Engineer who will be responsible for working on projects that are currently being developed in our company. You will also work closely with clients and cross-functional departments to communicate project status. Location: Gurgaon Salary: As per industry standards Experience: 2-5 years Job Description Responsible for developing, designing, writing, modifying, and debugging software based on specific requirements. Core Programming Language: Languages can evolve programming languages, including C++, C #, Java, Perl, Python, and Good knowledge of Linux. Hands-on experience with professional software engineering practices & software development life cycle, including coding standards, code reviews, source control management, and build processes. Analyzing data to effectively coordinate the installation of new systems or the modification of existing systems. Writing Issues, Epics, and tasks to enable effective software development under an agile methodology Developing code and creating a pull request (Git) Reviewing, commenting, and supporting other developers with the team Skills and Qualifications Automation of processes from continuous development. Ready to solve complex architectural challenges. Designing and coding Strong knowledge of web frameworks (Flask, Django, Fast API) Fixing bugs and overseeing the development of documents. Must have worked on developing an IVR system Hands-on experience in Perl, Python, Rest API, Mysqul, Redis, MongoDB, Shell, Linux, Docker, Git Excellent communication skills, both written and verbal Educational Requirements: 🎓 UG: B.Tech (CS & IT) - Computers, Other Specialization 🎓 PG: M.Tech - Computers, MCA - Computers, MS If you're passionate about software engineering, thrive in a collaborative environment, and have experience with Dialer system development, we want to hear from you! Show more Show less