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About Tatvic : Tatvic - is a global consulting and solutions provider that specializes in Data & Marketing Analytics. With offices across North America, APAC, and UAE, Tatvic offers end-to-end services and solutions on leading marketing and cloud platforms. They provide comprehensive marketing technology platforms and expertise in website and mobile app analytics, conversion rate optimization, and data activation for marketing. Job description : Responsibilities w.r.t Customer : - Keep the promises made to the customer in terms of deliverables. - Designing solutions using data science platforms. - Bird's eye view of the Platform to create an effective solution - Identify features which would matter and ensure that logic for feature selection is clear to all - Use Auto ML as well as individual algorithms for effective solutions - Display or export the output into a visualization platform - Create an API which can be used to access the model for query - Optimize the model to increase the effectiveness with proper data cleansing and feature engineering - Create a POC for providing data insight for the customer at a short notice Innovation and Asset building Responsibilities : - Design and Build reusable solution which can be used for multiple customers - Create clear documentation on architecture and design concepts used in the project - Provide assistance to other team members to learn cloud platform by training and creating the presentation - Maintain coding standards & Building reusable code and libraries for future use - Stay updated with new innovations in data science. - Explore the usage of data science in various business and web analytics applications Functional Competencies : - Applying Technical knowledge (SQL/no SQL/ML/DL) - Python / Libraries/Packages/ API/Web Services - Data Analysis - Cloud And Infra Services / Monitoring & Debugging/ Orchestration Frameworks - Solution/Architecture Design Seniority Level : Mid-Senior level Industry : Software Development

Ahmedabad

Tatvic Analytics - Senior Data Scientist - Python (3-4 yrs)

Job description : 1. Analyze Client Requirements : - Collect detailed requirements from the given brief requirements &amp; document it (if required) - Assess the detailed requirements &amp; create technical specifications document that includes the solution architecture and test plans 2. Design &amp; Develop Data APIs : - Develop and deploy Data APIs on AWS / GCP platform using managed/self- managed Services - Monitor and Maintains the Data APIs 3. Design &amp; Develop Enterprise Cloud Applications/Solutions : - Plan, set up &amp; configure solution environments to deploy the solutions on Cloud Platform - Develop, construct, test, and maintain architectures for the enterprise Cloud Application - Learn and use Google Cloud/ AWS products to use managed cloud services to develop and deploy enterprise cloud application/solution - Quick development of PoC/MVP for business requirements - Build the (SaaS) Integrations for the solutions - Configure the access &amp; security mechanisms 4. Maintain &amp; Monitor the Cloud Application/Solutions and Data APIs : - Design/Configure Cloud Monitoring Services to monitor the health of the solutions - Configure alerts and Monitoring Dashboards 5. Conduct research to answer industry and business questions 6. Maintain coding standards &amp; Building reusable code and libraries for future use 7. Data security and data protection : - Configure / set up the systems / services to maintain Cloud Application/Solutions securely using managed cloud security services Technical Competencies : - Data Structure &amp; Algorithms - Libraries/Packages : Python Web frameworks or HTTP Request - Python/Node JS - Cloud Technology(AWS/GCP/Azure): GCP (Good to have) - Testing, Code Debugging &amp; Error Logging - API &amp; Web Services - Database- SQL Queries, MongoDB,Cassandra - Version Control System: GitLab/GitHub/Bitbucket

Tatvic Analytics - Cloud Engineer - Data Structure/Algorithm (1-4 yrs)

About Tatvic : Tatvic Analytics is a leading global MarTech and analytics consulting firm, specializing in Google Marketing Platform (GMP) and Google Cloud Platform (GCP) solutions. As a certified Google Partner, we help businesses optimize marketing spend, improve customer engagement, and drive growth through data-driven insights, AI-driven analytics, and advanced marketing technology. Our expertise spans Google Analytics, programmatic campaign management, conversion rate optimization, cloud-based marketing activation, and location-based services. With a strong focus on innovation and technology, we work with leading brands across eCommerce, BFSI, and digital-first industries. At Tatvic, you'll be part of a dynamic team that leverages cutting-edge tools, data science, and automation to solve complex digital challenges and create real business impact. Job description : Responsibilities of a Data Scientist : Responsibilities w.rt Customer : - Keep the promises made to the customer in terms of deliverables. - Designing solutions using data science platforms. - Bird's eye view of the Platform to create an effective solution. - Identify features which would matter and ensure that logic for feature selection is clear to all. - Use Auto ML as well as individual algorithms for effective solutions. - Display or export the output into a visualization platform. - Create an API which can be used to access the model for query. - Optimize the model to increase the effectiveness with proper data cleansing and feature engineering. - Create a POC for providing data insight for the customer at a short notice. Innovation and Asset building Responsibilities : - Design and Build reusable solution which can be used for multiple customers. - Create clear documentation on architecture and design concepts used in the project. - Provide assistance to other team members to learn cloud platform by training and creating the presentation. - Maintain coding standards & Building reusable code and libraries for future use. - Stay updated with new innovations in data science. - Explore the usage of data science in various business and web analytics applications. Technical Skills : - Data Handling : Manage data from diverse sources, including structured tables, unstructured text, images, videos, and streaming/real-time data. - Feature Engineering : Identify and select relevant features with transparent and explainable logic. Model Development : - Select and build models based on problem requirements, using pre-trained models, AutoML, or custom algorithms. - Apply advanced modeling techniques like CNNs for image processing, RCNNs, YOLO for object detection, and RAGs and LLM tuning for text and search-related tasks. - Optimize models with hyperparameter tuning, Bayesian optimization, and appropriate evaluation strategies. Model Evaluation : - Assess model performance using metrics suited for data type and problem type : 1. For categorical data : Precision, Recall, F1 Score, ROC-AUC, and Precision-Recall curves. 2. For numerical data : Metrics like Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Mean Squared Error (MSE), and R-squared (R- ). - Deployment & MLOps : Deploy models for batch or real-time predictions using MLOps frameworks, leveraging tools such as VertexAI and Kubeflow for efficient and scalable deployment pipelines. - Innovation : Stay current with trends in AI and data science, including LLMs, grounding techniques, and innovations in temporal and sequential data modeling. Code Practices & Engineering : - Write clean, maintainable, and scalable code following industry best practices. - Implement error handling, logging, and monitoring to ensure reliability in production systems. - Collaborate with other teams to integrate data science models into broader system architectures. - Performance Optimization : Optimize model and data processing pipelines for computational efficiency and scalability. - Documentation & Reusability : Maintain comprehensive technical documentation for all solutions. Functional Competencies : - Applying Technical knowledge (SQL/no SQL/ML/DL). - Python / Libraries/Packages/ API/Web Services. - Data Analysis. - Cloud And Infra Services / Monitoring & Debugging/ Orchestration Frameworks. - Solution/Architecture Design.

Tatvic Analytics - Senior Data Scientist (7-9 yrs)

About Tatvic : Tatvic Analytics is a leading global MarTech and analytics consulting firm, specializing in Google Marketing Platform (GMP) and Google Cloud Platform (GCP) solutions. As a certified Google Partner, we help businesses optimize marketing spend, improve customer engagement, and drive growth through data-driven insights, AI-driven analytics, and advanced marketing technology. Our expertise spans Google Analytics, programmatic campaign management, conversion rate optimization, cloud-based marketing activation, and location-based services. With a strong focus on innovation and technology, we work with leading brands across eCommerce, BFSI, and digital-first industries. At Tatvic, you'll be part of a dynamic team that leverages cutting-edge tools, data science, and automation to solve complex digital challenges and create real business impact. Role Title : Data Analysis & Insights Lead. Mandatory Skills : Google Analytics/Adobe Analytics(mandatory), Google Cloud Platform Exposure, Big Query [SQL expertise], GAIQ. Years of Experience : 4+ years. In this role : - Develop a digital analytics strategy, specific to your industry and organization KPIs. - Tailor reporting system and dashboards to your business. - Support client team with ongoing business needs and analytics system maintenance. - Setting up the required reporting system, timeframes, performance metrics, and dimensions. - Providing Google Analytics consulting and Marketing Technology strategy. - Develop analysis and dashboards and have to communicate data-driven recommendations to improve customers business. Mandatory Qualifications : - Excellent Time Management & Proactive approach for taking initiative and getting them executed by the team. - At least 3-4 years of experience working with major business verticals [BFSI, E-commerce, OTT, Publisher, Automobile] in servicing Indian, North American and APAC markets. - Exceptional consulting and Advanced & Statistical analysis (segregation analysis, pre-post analysis, feature attribution analysis, Media Campaign Opportunity analysis(using DDA & Markov Chain), Seasonality Analysis, Market Basket Analysis to identify products/channels that drive value, TV data analysis, Clustering, Linear & Logical Regression, Time Series expertise. - A tool-agnostic analytics consultant. - Good to have : Pre-sales Business flavor.

Tatvic Analytics - Data Analytics Lead (5-7 yrs)

Job Description : Backend Development (Primary Focus - Python & Node.js) : - Design, develop, and maintain scalable backend services using Python (Django, FastAPI, Flask) and Node.js. - Implement RESTful and GraphQL APIs for seamless communication between the front end and backend. - Optimize system performance and database interactions using PostgreSQL, MongoDB, or other relevant databases. - Develop and integrate AI-driven solutions using frameworks like LangChain. - Work with LLMs (Large Language Models) and AI tools to enhance application intelligence. Frontend Development (React.js) : - Build responsive and user-friendly web interfaces using React.js. - Ensure cross-browser compatibility, accessibility, and smooth performance. - Collaborate with UI/UX designers to enhance user experience. AI & Machine Learning Integration : - Work with AI models and integrate machine learning solutions into applications. - Use LangChain to develop AI-powered chatbots, recommendation engines, and automation features. Cloud & DevOps (Preferred but Not Mandatory) : - Deploy and manage applications on Google Cloud, AWS, or Azure. - Implement CI/CD pipelines for automated testing and deployment. Security, Testing & Debugging : - Implement security best practices, including authentication, authorization, and data encryption. - Perform unit testing, integration testing, and debugging to ensure application reliability.

Tatvic Analytics - Solution Engineer - Python/Node.js/React.js (3-5 yrs)

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