1416 Matplotlib Jobs - Page 11

Role & responsibilities - Strong knowledge in OOPs and creating custom python packages for serverless applications. Strong Knowledge in SQL querying. Hands on experience in AWS services like Lambda, EC2, EMR, S3 and Athena, Batch, Textract and Comprehend. Strong Expertise in extracting text, tables, logos from low quality scanned multipage pdfs (80 - 150 dpi) and Images. Good Understanding in Probability and Statistics concepts and ability to find hidden patterns, relevant insights from the data. Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical Comprehend for Clinical Named Entity Recognition (NER). Strong Leadership Skills. Deployment of custom trained and prebuilt NER models using AWS Sagemaker. Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2. Should have Intellectual curiosity to learn new things. ISMS responsibilities should be followed as per company policy. Preferred candidate profile - 3+ years Hands on in Python and data science like tools pandas, NumPy, SciPy, matplotlib and strong exposure in regular expressions. 3+ years Hands on experience in Machine learning algorithms like SVM, CART, Bagging and Boosting algorithms, NLP based ML algorithms and Text mining. Hands on expertise to integrate multiple data sources in a streamlined pipeline.

Main Responsibilities Participating in the design and development of end-to-end data science analytics solutions using associated technologies Independent development of the problem solution steps and coding functionalities and its implementation by analysis of input and desired output Perform data preprocessing, harmonization, and feature engineering to prepare modeling datasets Job Requirement Bachelors or Masters degree in Computer Science, Data science, Data Analytics or a similar fields 2-4 years of working experience Advance knowledge in Python programming and experiences in data science using Python (familiar with the libraries Pandas, Scikit-learn, Streamlit, SpaCy, Gensim, NLTK, re, Plotly, Matplotlib, huggingface, transformer, openai, Langchain) Professional experience in the development of web applications such as WebApps and REST APIs with JavaScript frameoworks and with Python Experience with PowerApps and PowerAutomate Experience with data visualization techniques such as PowerBI etc Experience in Machine Learning especially in the field of supervised machine learning and classification (create, train, apply classifier and evaluate results) Experience in regular expressions and natural language processing creating preprocessing pipelines) Familiar with and comfortable using the latest technological tools, including ChatGPT Working experience with LLMs (incorporate LLMs in WebApps to solve business tasks) and creating prompts for various tasks utilizing Langchain Primary location BASF Innovation campus at Turbhe, Navi Mumbai Job Information technology/Service

Location: Ahmedabad, Gujarat, India (Work From Office ONLY) Experience: 2 - 4 years Salary: ₹35,000 - ₹40,000 per month + Performance Incentives About the Role: As a key member of our US Client/Student Development team, you'll be instrumental in empowering the next generation of data science professionals. Your primary focus will be on: Content Creation: Designing and developing comprehensive and engaging training materials, modules, and exercises covering various aspects of data science. Live Session Delivery: Conducting interactive live online sessions, workshops, and webinars, demonstrating complex data science concepts and practical applications. Mentorship: Providing guidance, support, and constructive feedback to students/clients on their data science projects, helping them understand challenges, refine models, and build practical skills. Curriculum Development: Collaborating with the team to continuously refine and update data science course curricula based on industry trends, new research, and student feedback. Key Responsibilities: Design and develop high-quality data science course content covering statistical modeling, machine learning algorithms, deep learning fundamentals, and data analysis techniques. Prepare and deliver engaging live sessions on topics such as predictive modeling, natural language processing (NLP), computer vision, time series analysis, and experiment design. Guide and mentor students through real-world data science projects, helping them with data collection, cleaning, feature engineering, model building, evaluation, and interpretation. Simplify complex algorithms and theoretical concepts into easily understandable and actionable insights for a diverse audience. Create practical assignments, case studies, and capstone projects that reinforce learning and develop problem-solving skills. Stay updated with the latest advancements in data science, machine learning, and AI to ensure content relevance. Required Skills & Experience: Experience: 2 to 4 years of hands-on industry experience as a Data Scientist or in a similar analytical role. Communication: Excellent and compulsory English communication skills (both written and verbal) – ability to articulate complex technical concepts clearly and concisely to diverse audiences is paramount. Passion for Teaching: A strong desire and aptitude for training, mentoring, and guiding aspiring data science professionals. Analytical Skills: Strong problem-solving abilities, critical thinking, and a structured approach to breaking down complex data problems. Work Ethic: Highly motivated, proactive, and able to work independently as well as collaboratively in a fast-paced environment. Location Commitment: Must be willing to work from our Ahmedabad office full-time . Required Technical Skills: Proficiency in Python (Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn) and/or R for data manipulation, analysis, and visualization. Strong understanding of Machine Learning algorithms (Regression, Classification, Clustering, Ensemble methods) and their applications. Experience with deep learning frameworks (TensorFlow, Keras, or PyTorch) is a significant plus. Solid SQL skills for data extraction and querying from relational databases. Experience with data visualization tools (e.g., Tableau, Power BI, Looker) or libraries (Matplotlib, Seaborn). Familiarity with cloud platforms (AWS, Azure, GCP) for data science services is a plus. Knowledge of statistical concepts and hypothesis testing. What We Offer: A competitive salary and attractive performance-based incentives . The unique opportunity to directly impact the careers of aspiring tech professionals. A collaborative, innovative, and supportive work environment. Continuous learning and professional growth opportunities in a niche domain. Be a part of a rapidly growing team focused on global client engagement.

Ciklum is looking for an Expert Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As an Expert Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to the Unit activities and community building, participate in conferences, and provide excellence in exercise and best practices Support marketing & sales activities, customer meetings and digital services through direct support for sales opportunities & providing thought leadership & content creation for the service Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! General technical requirements: BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions Hands-on experience with various machine learning techniques, including but not limited to: Regression Classification Clustering Dimensionality reduction Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively Specific technical requirements: Proficiency in SQL for data processing, data manipulation, sampling, and reporting Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML) Domain experience: Experience with analyzing medical signals and images Expertise in building predictive models for patient outcomes, disease progression, readmissions, and population health risks Experience in extracting insights from clinical notes, medical literature, and patient-reported data using NLP and text mining techniques Familiarity with survival or time-to-event analysis Expertise in designing and analyzing data from clinical trials or research studies Experience in identifying causal relationships between treatments and outcomes, such as propensity score matching or instrumental variable techniques Understanding of healthcare regulations and standards like HIPAA, GDPR (for healthcare data), and FDA regulations for medical devices and AI in healthcare Expertise in handling sensitive healthcare data in a secure, compliant way, understanding the complexities of patient consent, de-identification, and data sharing Familiarity with decentralized data models such as federated learning to build models without transferring patient data across institutions Knowledge of interoperability standards such as HL7, SNOMED, FHIR, or DICOM Ability to work with clinicians, researchers, health administrators, and policy makers to understand problems and translate data into actionable healthcare insights Good to have skills: Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e.g., Kubernetes) Experience in deep learning development using TensorFlow or PyTorch libraries Experience with Large Language Models (LLMs) and Generative AI applications Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL Familiarity with platforms like Databricks and Snowflake for data engineering and analytics Experience working with Big Data technologies (e.g., Hadoop, Apache Spark) Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j) Business-related requirements: Proven experience in developing data science solutions that drive measurable business impact, with a strong track record of end-to-end project execution Ability to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methods Excellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levels Desirable: Research experience with peer-reviewed publications Recognized achievements in data science competitions, such as Kaggle Certifications in cloud-based machine learning services (AWS, Azure, GCP) What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy licence, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Flexibility: hybrid work mode at Chennai or Pune Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Want to learn more about us? Follow us on Instagram , Facebook , LinkedIn . Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Company Description I Vision Infotech is a full-fledged IT company delivering high-quality, cost-effective, and reliable web and e-commerce solutions. Founded in 2011 and located in India, we serve both domestic and international clients, including those from the USA, Malaysia, Australia, Canada, and the United Kingdom. We offer a wide range of services in web design, development, e-commerce, and mobile app development across various platforms such as Android, iOS, Windows, and Blackberry. Role Description This is a full-time on-site role for a Python Developer – Data Science & Django, located in Ahmedabad. The Python Developer will be responsible for developing back-end web applications, writing efficient and maintainable code, and collaborating with cross-functional teams to integrate user-facing elements with server-side logic. Day-to-day tasks include designing, developing, and maintaining software applications and databases, ensuring high performance and responsiveness. The role involves object-oriented programming, software development, and working closely with data science teams to implement and optimize data-driven solutions. Key Responsibilities Write clean and efficient Python code Develop web applications using Django Work on data collection, processing, and visualization using Pandas/Numpy/Matplotlib Build REST APIs using Django REST Framework Collaborate with the team for real-world project deployments Required Skills Strong knowledge of Python programming Basic understanding of data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn) Hands-on experience with Django or Django REST Framework Understanding of HTML, CSS, JavaScript (Basic level) Knowledge of Git is a plus B.E/B.tech/BCA/MCA/BSc/MSc (CS/IT) or equivalent Perks And Benefits Real-time project exposure Internship/Training certificate Flexible working hours Skills:- Python

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audience Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities An AI Data Scientist at IBM is not just a job title – it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred Technical And Professional Experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Role Description Lead the design, development, and ongoing maintenance of software systems using Python, ensuring adherence to best practices, high code quality, and scalable architecture. Drive database design and optimization, leveraging SQL to create efficient, high-performance queries and structures. Apply object-oriented design principles to build robust, maintainable, and scalable solutions. Collaborate with cross-functional teams to define project requirements, analyze business needs, and develop high-impact technical solutions. Design and implement machine learning models, pipelines, and data workflows to support predictive analytics and intelligent decision-making. Work with large datasets to preprocess, clean, and engineer features for AI/ML models. Evaluate model performance using appropriate metrics and iterate to improve accuracy and robustness. Mentor and guide junior developers, providing support in troubleshooting, debugging, and resolving software issues to maintain high-quality deliverables. Produce clean, efficient, and testable code, ensuring alignment with project goals and timelines. Lead troubleshooting and debugging efforts to identify and resolve defects, ensuring smooth functionality Technical Skills Expertise in Python programming and its application to solve complex problems. Solid grasp of SQL, with experience in designing, optimizing, and querying databases effectively. In-depth knowledge of object-oriented programming (OOP) principles and design patterns to create clean, scalable systems. Strong background in software development best practices and adherence to coding standards to ensure high-quality deliverables. Proven experience in system design, including architecture planning, scalability, and performance considerations. Excellent analytical and problem-solving skills, with the ability to approach challenges strategically and effectively. Ability to lead projects independently while fostering collaboration and mentorship within the team. Clear and concise communication skills, capable of conveying technical concepts to both technical and non-technical stakeholders. Hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, or PyTorch). Experience in building, training, and deploying supervised/unsupervised ML models. Understanding of evaluation metrics like precision, recall, F1-score, confusion matrix, ROC-AUC, etc. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, or Plotly). Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Job Title: Data Scientist / MLOps Engineer (Python, PostgreSQL, MSSQL) Location: Kolkata (Must) Employment Type: Full-Time Experience Level: 1–3 Years About Us: We are seeking a highly motivated and technically strong Data Scientist / MLOps Engineer to join our growing AI & ML team. This role involves the design, development, and deployment of scalable machine learning solutions, with a strong focus on operational excellence, data engineering, and GenAI integration. Key Responsibilities: Build and maintain scalable machine learning pipelines using Python. Deploy and monitor models using MLFlow and MLOps stacks. Design and implement data workflows using standard python libraries such as PySpark. Leverage standard data science libraries (scikit-learn, pandas, numpy, matplotlib, etc.) for model development and evaluation. Work with GenAI technologies, including Azure OpenAI and other open source models, for innovative ML applications. Collaborate closely with cross-functional teams to meet business objectives. Handle multiple ML projects simultaneously with robust branching expertise. Must-Have Qualifications: Expertise in Python for data science and backend development. Solid experience with PostgreSQL and MSSQL databases. Hands-on experience with standard data science packages such as Scikit-Learn, Pandas, Numpy, Matplotlib. Experience working with Databricks , MLFlow , and Azure . Strong understanding of MLOps frameworks and deployment automation. Prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI is a big plus. Preferred Qualifications: Experience in the Finance, Legal or Regulatory domain. Working knowledge of clustering algorithms and forecasting techniques. Previous experience in developing reusable AI frameworks or productized ML solutions. Education: B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. Why Join Us? Work on cutting-edge ML and GenAI projects. Be part of a collaborative and forward-thinking team. Opportunity for rapid growth and technical leadership. Job Type: Full-time Pay: ₹344,590.33 - ₹1,050,111.38 per year Benefits: Leave encashment Paid sick time Paid time off Provident Fund Work from home Education: Bachelor's (Required) Experience: Python: 3 years (Required) ML: 2 years (Required) Location: Kolkata, West Bengal (Required) Work Location: In person Application Deadline: 02/08/2025 Expected Start Date: 04/08/2025

Job Summary Synechron is seeking a detail-oriented Data Analyst to leverage advanced data analysis, visualization, and insights to support our business objectives. The ideal candidate will have a strong background in creating interactive dashboards, performing complex data manipulations using SQL and Python, and automating workflows to drive efficiency. Familiarity with cloud platforms such as AWS is a plus, enabling optimization of data storage and processing solutions. This role will enable data-driven decision-making across teams, contributing to strategic growth and operational excellence. Software Requirements Required: PowerBI (or equivalent visualization tools like Streamlit, Dash) SQL (for data extraction, manipulation, and querying) Python (for scripting, automation, and advanced analysis) Data management tools compatible with cloud platforms (e.g., AWS S3, Redshift, or similar) Preferred: Cloud platform familiarity, especially AWS services related to data storage and processing Knowledge of other visualization platforms (Tableau, Looker) Familiarity with source control systems (e.g., Git) Overall Responsibilities Develop, redesign, and maintain interactive dashboards and visualization tools to provide actionable insights. Perform complex data analysis, transformations, and validation using SQL and Python. Automate data workflows, reporting, and visualizations to streamline processes. Collaborate with business teams to understand data needs and translate them into effective visual and analytical solutions. Support data extraction, cleaning, and validation from various sources, ensuring data accuracy. Maintain and enhance understanding of cloud environments, especially AWS, to optimize data storage, processing pipelines, and scalability. Document technical procedures and contribute to best practices for data management and reporting. Performance Outcomes: Timely, accurate, and insightful dashboards and reports. Increased automation reducing manual effort. Clear communication of insights and data-driven recommendations to stakeholders. Technical Skills (By Category) Programming Languages: Essential: SQL, Python Preferred: R, additional scripting languages Databases/Data Management: Essential: Relational databases (SQL Server, MySQL, Oracle) Preferred: NoSQL databases like MongoDB, cloud data warehouses (AWS Redshift, Snowflake) Cloud Technologies: Essential: Basic understanding of AWS cloud services (S3, EC2, RDS) Preferred: Experience with cloud-native data solutions and deployment Frameworks and Libraries: Python: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Streamlit, Dash Visualization: PowerBI, Tableau (preferred) Development Tools and Methodologies: Version control: Git Automation tools for workflows and reporting Familiarity with Agile methodologies Security Protocols: Awareness of data security best practices and compliance standards in cloud environments Experience Requirements 3-5 years of experience in data analysis, visualization, or related data roles. Proven ability to deliver insightful dashboards, reports, and analysis. Experience working across teams and communicating complex insights clearly. Knowledge of cloud environments like AWS or other cloud providers is desirable. Experience in a business environment, not necessarily as a full-time developer, but as an analytical influencer. Day-to-Day Activities Collaborate with stakeholders to gather requirements and define data visualization strategies. Design and maintain dashboards using PowerBI, Streamlit, Dash, or similar tools. Extract, transform, and analyze data using SQL and Python scripts. Automate recurring workflows and report generation to improve operational efficiencies. Troubleshoot data issues and derive insights to support decision-making. Monitor and optimize cloud data storage and processing pipelines. Present findings to business units, translating technical outputs into actionable recommendations. Qualifications Bachelors degree in Computer Science, Data Science, Statistics, or related field. Masters degree is a plus. Relevant certifications (e.g., PowerBI, AWS Data Analytics) are advantageous. Demonstrated experience with data visualization and scripting tools. Continuous learning mindset to stay updated on new data analysis trends and cloud innovations. Professional Competencies Strong analytical and problem-solving skills. Effective communication, with the ability to explain complex insights clearly. Collaborative team player with stakeholder management skills. Adaptability to rapidly changing data or project environments. Innovative mindset to suggest and implement data-driven solutions. Organized, self-motivated, and capable of managing multiple priorities efficiently.

About the Role We are looking for a passionate Data Science fresher who has completed at least 6 months of practical training, internship, or project experience in the data science field. This is an exciting opportunity to apply your analytical and problem-solving skills to real-world datasets while working closely with experienced data scientists and engineers. Key Responsibilities Assist in data collection, cleaning, and preprocessing from various sources. Support the team in building, evaluating, and optimizing ML models . Perform exploratory data analysis (EDA) to derive insights and patterns. Work on data visualization dashboards and reports using tools like Power BI, Tableau, or Matplotlib/Seaborn. Collaborate with senior data scientists and domain experts on ongoing projects. Document findings, code, and models in a structured manner. Continuously learn and adopt new techniques, tools, and frameworks. Required Skills & Qualifications Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. Experience: Minimum 6 months internship/training in data science, analytics, or machine learning. Technical Skills: Proficiency in Python (Pandas, NumPy, Scikit-learn, etc.). Understanding of machine learning algorithms (supervised/unsupervised). Knowledge of SQL and database concepts. Familiarity with data visualization tools/libraries. Basic understanding of statistics and probability. Soft Skills: Strong analytical thinking and problem-solving ability. Good communication and teamwork skills. Eagerness to learn and grow in a dynamic environment. Good to Have (Optional) Exposure to cloud platforms (AWS, GCP, Azure). Experience with big data tools (Spark, Hadoop). Knowledge of deep learning frameworks (TensorFlow, PyTorch). What We Offer Opportunity to work on real-world data science projects . Mentorship from experienced professionals in the field. A collaborative, innovative, and supportive work environment. Growth path to become a full-time Data Scientist with us. Job Types: Full-time, Permanent, Fresher Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Health insurance Schedule: Day shift Fixed shift Monday to Friday Application Question(s): have you done your 6 month training ? Education: Bachelor's (Preferred) Language: English (Preferred) Work Location: In person

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML : 1 year (Required) Data science: 1 year (Required) Work Location: In person

Strong proficiency in Python, with deep understanding of object-oriented programming (OOP) principles. Experience designing and implementing modular, reusable, and scalable architectures Experience using Version control systems like GIT and Git Workflows. Familiarity with UML and architectural modeling tools. Expertise in design patterns (e.g., Factory, Singleton, Observer) Experience with Python Packages : NumPy, Pandas, Matplotlib, PyTest, black, flake8 Solid grasp of software development lifecycle (SDLC) and Agile methodologies Knowledge of unit testing frameworks (e.g., pytest) and mocking Interpretation of VBA macros. Performing Code quality checks. Ability to understand Engineering workflows , requirements and communicate with Stakeholders Nice to have: Knowledge on stress engineering tools like ISAMI Fluent in written and spoken English for global collaboration Produces high-quality documentation, reports, and presentations Confident in leading discussions and negotiations in English Skilled in writing clear and concise emails, user stories, and technical specs Comfortable presenting to international stakeholders and executive audiences

This role is for one of Weekday's clients Min Experience: 6 years Location: Bengaluru JobType: full-time Requirements We are seeking a highly skilled and experienced Data Scientist - Market Mix Modeling (MMM) to join our analytics team. This role is ideal for someone who thrives on solving complex business problems through data, modeling, and statistical insights. You will be responsible for designing, developing, and deploying robust MMM solutions to help our clients or internal stakeholders optimize marketing spend, improve ROI, and enhance performance forecasting. The ideal candidate will have strong command over statistical modeling, a deep understanding of the marketing ecosystem, and the technical acumen to build both short-term and long-term models using Python and SQL. Key Responsibilities: MMM Model Development: Build and maintain robust short-term and long-term Market Mix Models to analyze the impact of marketing activities across various media channels and drive strategic marketing decisions. Data Processing & Exploration: Collect, clean, and analyze large datasets using Python and SQL to ensure the accuracy and quality of the data pipeline and inputs to the models. Statistical Modeling & Analysis: Apply advanced statistical techniques (e.g., regression analysis, time series analysis, hierarchical models) to identify key drivers of performance and quantify the effectiveness of marketing investments. Budget & Media Optimization: Utilize optimization techniques to simulate various marketing scenarios and recommend optimal media spend allocation strategies across channels, based on business KPIs. Model Diagnostics & Reporting: Perform thorough model diagnostics, validate assumptions, and interpret model outputs to generate actionable and meaningful insights. Present findings clearly to both technical and non-technical stakeholders. Cross-Functional Collaboration: Work closely with marketing, finance, media planning, and leadership teams to align on goals, KPIs, and ensure model insights are implemented in strategic planning processes. Continuous Improvement: Stay current on emerging MMM methodologies, marketing analytics trends, and statistical best practices to continuously evolve the modeling framework and tools. Key Skills & Requirements: 6-8 years of hands-on experience in Market Mix Modeling (MMM). Strong expertise in Python for data manipulation, modeling, and visualization. Proficiency in SQL for querying and data integration. Solid understanding of statistical modeling techniques, including regression, time series, and multicollinearity diagnostics. Experience building both short-term and long-term MMM models. Practical experience in media mix optimization and marketing budget planning. Familiarity with various media channels (TV, digital, print, etc.), campaign planning processes, and how marketing tactics translate to business outcomes. Strong communication skills with the ability to translate data findings into strategic recommendations. Detail-oriented mindset with excellent problem-solving and analytical skills. Nice to Have: Experience working with marketing teams or in advertising/media agencies. Knowledge of machine learning techniques and data visualization libraries like Matplotlib, Seaborn, Plotly, etc. Familiarity with BI tools like Tableau or Power BI

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML : 1 year (Required) Data science: 1 year (Required) Work Location: In person

Skills: Python, PyTorch, aws, Data Visualization, Machine Learning, ETL, Experience: 2 4 Years Location: Bangalore (In-office) Employment Type: Full-Time About The Role We are hiring a Junior Data Scientist to join our growing data team in Bangalore. Youll work alongside experienced data professionals to build models, generate insights, and support analytical solutions that solve real business problems. Responsibilities Assist in data cleaning, transformation, and exploratory data analysis (EDA). Develop and test predictive models under guidance from senior team members. Build dashboards and reports to communicate insights to stakeholders. Work with cross-functional teams to implement data-driven initiatives. Stay updated with modern data tools, algorithms, and techniques. Requirements 2 4 years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and key data libraries (Pandas, NumPy, Scikit-learn). Experience with data visualization tools (Matplotlib, Seaborn, Tableau, Power BI). Basic understanding of machine learning algorithms and model evaluation. Strong problem-solving ability and eagerness to learn. Good communication and teamwork skills.

Job Description Report this job Job Title: Ecommerce SME Analyst Summary We are seeking an experienced and driven Ecommerce SME Analyst with 8 years of expertise in digital analytics and ecommerce data. In this role, you will analyze clickstream and user behavior data to uncover actionable insights that enhance user experience, optimize conversion funnels, and inform strategic product decisions. You will work extensively with Adobe Analytics, Python, SQL, and BigQuery, and collaborate with cross-functional teams to drive data-informed growth across our ecommerce platform. Key Responsibilities Clickstream %2526 Ecommerce AnalysisAnalyze ecommerce clickstream data using Adobe Analytics to understand user journeys, identify drop-off points, and recommend optimizations for improved engagement and conversion. User Behavior InsightsSegment and analyze user behavior to uncover patterns, preferences, and opportunities for personalization and targeting. Data Extraction %2526 TransformationUse SQL and Python to query, clean, and transform large datasets from BigQuery and other data sources. Visualization %2526 ReportingBuild dashboards and reports using visualization tools (e.g., Tableau, Looker, Power BI) to communicate insights clearly to stakeholders. Product Strategy SupportPartner with product and analytics teams to translate data insights into actionable recommendations that shape the product roadmap. KPI Definition %2526 TrackingDefine and monitor key performance indicators (KPIs) to evaluate the impact of product features and site changes. A/B Testing AnalysisDesign and analyze A/B tests to assess the effectiveness of new features and user experience improvements. Cross-Functional CollaborationWork closely with product managers, marketers, and engineers to understand data needs and deliver timely, relevant insights. Data Quality AssuranceEnsure data accuracy and integrity through validation checks and collaboration with data engineering teams. Continuous LearningStay current with industry trends, tools, and best practices in ecommerce analytics and data science. Required Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Minimum 2 years of experience in ecommerce analytics. Strong hands-on experience with Adobe Analytics for tracking and analyzing user behavior. Proficiency in SQL and Python (including libraries like Pandas, NumPy, Matplotlib, Seaborn). Experience working with Google BigQuery or similar cloud-based data warehouses. Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI). Strong analytical and problem-solving skills. Excellent communication skills to present findings to technical and non-technical audiences. Ability to work independently and collaboratively in a fast-paced environment. Key Skills Adobe Analytics Python (Pandas, NumPy, Matplotlib, Seaborn) SQL Google BigQuery Ecommerce Analytics Clickstream %2526 User Behavior Analysis Data Visualization %2526 Reporting A/B Testing Product Strategy %2526 KPI Tracking Communication %2526 Collaboration Data Quality %2526 Validation Key Details Job Function: IT Software : Software Products & Services Industry: IT-Software Specialization:Information Systems Employment Type: Full Time Key Skills Mandatory Skills : Adobe Analytics Python SQL bigquery ecommerce domain About Company Company:LTIMindtree Job Posted by Company LTIMindtree Ltd. LTIMindtree is a global technology consulting and digital solutions company that enables enterprises... More across the industries to reimagine business models, As a digital transformation partner to more than 750 clients, brings extensive domain and technology expertise to help drive superior competitive world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - A Larsen & Toubro Group company - combines the industry - acclaimed strengths or erstwhile Larsen and Toubro Infotech and MindTree in solving the most complex business challenges and delivering transformation at scale. Less Job Id: 71587467

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 5+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Collaborate with teams to understand business needs, design and implement AI solutions, conduct thorough testing, optimize algorithms, stay updated with AI advancements, integrate technologies, and mentor team for innovation.

Roles & Responsibilities Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworks Required Skills & Qualifications Proficient in Python, with hands-on experience in key ML libraries: TensorFlow, PyTorch, Scikit-learn, and HuggingFace Transformers Strong understanding of machine learning fundamentals, deep learning architectures (CNNs, RNNs, transformers), and statistical modeling Practical experience working with and fine-tuning LLMs and foundation models Deep understanding of vector search, embeddings, and semantic retrieval techniques. Expertise in predictive modeling, including regression, classification, time series, clustering, and anomaly detection Comfortable working with large-scale datasets using Pandas, NumPy, SciPy etc. Experience with cloud platforms (AWS, GCP, or Azure) for training and deployment is a plus Preferred Qualifications Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or related technical discipline. Experience with MLOps tools and workflows (e.g., Docker, Kubernetes, MLflow, SageMaker, Vertex AI). Ability to build and expose APIs for models using FastAPI, Flask, or similar frameworks. Familiarity with data visualization (Matplotlib, Seaborn) and dashboarding (Plotly) tools or equivalent Working knowledge of version control, experiment tracking, and team collaboration Experience 8-11 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): TensorFlow, NLP, Pytorch, Large Language Models (LLM) About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

You have a solid working experience in Python-based Django and Flask frameworks, along with expertise in developing microservices based design and architecture. Your strong programming knowledge extends to Javascript, HTML5, Python, Restful API, and gRPC API. You have hands-on experience with object-oriented concepts in Python and are familiar with libraries like Numpy, Pandas, Ppen3D, OpenCV, and Matplotlib. Additionally, you possess knowledge of MySQL, Postgres, and MSSQL databases, as well as 3D geometry. Your expertise also includes familiarity with SSO/OpenID Connect/OAuth authentication protocols, version control systems like GitHub/BitBucket/GitLab, and continuous integration and continuous deployment (CI/CD) pipelines. You have a basic understanding of image processing, data analysis, and data science, coupled with strong communication skills and analytical thinking capabilities from various perspectives. As a proactive team player, you are inclined towards providing new ideas, suggestions, solutions, and constructive analysis of your team members" ideas. You thrive in a fast-paced, Agile software development environment and have a good-to-have knowledge of other programming languages like C, C++, basics of machine learning, exposure to NoSQL databases, and cloud platforms like GCP/AWS/Azure. In the area of Software Engineering, you apply scientific methods to analyze and solve software engineering problems, develop and apply software engineering practices and knowledge, and exercise original thought and judgement. You are responsible for supervising the technical and administrative work of other software engineers, enhancing your skills and expertise within the software engineering discipline. Working collaboratively with other software engineers and stakeholders, you contribute positively to project performance and make informed decisions based on situational understanding. With more than a year of relevant work experience, you possess a solid understanding of programming concepts, software design, and software development principles. You consistently deliver accurate and reliable results with minimal supervision, work on various tasks and problems, and demonstrate the application of your skills and knowledge effectively. By organizing your time efficiently to meet task deadlines, collaborating with team members to achieve common goals, and making decisions based on understanding rather than just rules, you have a direct and positive impact on project performance.,

As a Data Analyst at our organization, you will play a vital role in analyzing our ecommerce clickstream and user behavior data to uncover actionable insights that drive business growth and inform our product roadmap. Leveraging your expertise in tools such as Adobe Analytics, GCP BigQuery, SQL, and Python, you will extract, analyze, and visualize complex datasets. Working closely with our Senior Data Analyst/Architect, you will contribute to the strategic direction of our product development efforts. Your responsibilities will include analyzing ecommerce clickstream data to understand user journeys and optimize website performance, investigating user behavior patterns to enhance customer interactions, and utilizing SQL and Python to extract and manipulate large datasets from our data warehouse. Additionally, you will create insightful dashboards and reports using data visualization tools to effectively communicate findings to stakeholders across different teams. Collaborating with the Senior Data Analyst/Architect, you will translate data-driven insights into actionable recommendations that contribute to the development and prioritization of our product roadmap. You will define and track key performance indicators (KPIs), conduct AB testing analysis, and collaborate with cross-functional teams to provide relevant insights. Ensuring data quality and integrity, staying updated on industry trends, and continuously learning best practices in ecommerce analytics will also be key aspects of your role. To qualify for this position, you should have a Bachelor's degree in a quantitative field and at least 2 years of experience as a Data Analyst, preferably with a focus on ecommerce analytics. Hands-on experience with Adobe Analytics, strong proficiency in SQL, and solid programming skills in Python are essential. Experience with cloudbased data warehouses, data visualization tools, and strong analytical and problemsolving skills are also required. Excellent communication and presentation skills, the ability to work independently and collaboratively in a fast-paced environment, and a passion for data science and ecommerce are important attributes for success in this role. Key Skills: Adobe Analytics, GCP BigQuery, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Ecommerce Analytics, User Behavior Analysis, Clickstream Data Analysis, Data Visualization, Data Reporting, AB Testing Analysis, Product Roadmap Contribution, Statistical Analysis, Data Mining, Communication (Written, Verbal), Problem-Solving, Teamwork Mandatory Skills: Data Science, E-commerce,

Job Description GalaxEye is a Space-Tech startup at the forefront of innovation, we are pioneering the World's First Multi-Sensor Earth Observation Satellite and aiming to build a constellation of indigenous micro-satellites with advanced data fusion capabilities. Our upcoming satellite Mission Drishti slated for launch in 2025, will set a global benchmark as the “World's First Multi-Sensor Satellite” integrating both SAR (Synthetic Aperture Radar) & MSI (Multi-Spectral Imaging) sensors on a single platform. A member of the Image Processing team, you will research, design, implement, optimize and deploy image processing algorithms to evolve our AI ecosystem continuously. The usual day-to-day tasks include developing the optical processing pipeline for various platforms, implementing new image processing algorithms, calibration of the sensors, fine-tuning them on our data, reviewing performance metrics, integrating and optimising the algorithms to run efficiently in our platform while continuously iterating and improving based on real-world performance. Responsibilities Select, test, implement and optimize image processing and image analysis using both classical and deep learning methods to extract relevant signals from imaging data Design and implement algorithms to carry out image processing including filtering, alignment, segmentation, and feature extraction efficiently across multi-terabyte sized datasets Research and fine-tune the latest image processing algorithms on our dataset to run efficiently while optimising based on real-time performance Write robust, well-documented, and well-tested code libraries that adhere to community standards and best practices Image Processing Engineer to Develop CI/CD pipeline patterns and best practices Collaborating with a team of data scientists, DevOps, Data engineers, and ML engineers Requirements Strong Foundation in Mathematical Statistics. Logical Thinking & Ability to Comprehend key facts. Background in basic image processing or basic signal processing will be preferred Experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment. Proficiency in Python and C++ Programming is a must. Preferred Experience in remote sensing or related fields. Ability to collaborate effectively across the team A detail-oriented team member who can consistently meet deadlines. Benefits Be a part of India’s leading space-tech satellite technology company. Work closely with new age leaders and gain hands-on experience in strategy and operations. Thrive in a collaborative and growth-oriented startup culture. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">