10 Visualization Technologies Jobs

As a Senior Data Scientist, you will apply your expertise in statistics, machine learning, and data analysis to extract valuable insights from structured and unstructured data. You will work closely with cross-functional teams to develop predictive models, improve business processes, and contribute to data-driven decision-making across the organization. Required Skills (Must have) Tech: Advanced programming knowledge in Python and SQL. Advanced knowledge in Probability and Statistics, including hypothesis testing. Advanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them. Advanced knowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib. Experienced in modern development tools and writing code collaboratively. Intermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms. Experienced in modern development tools, writing code collaboratively and developing solutions on cloud platforms. Non Tech : Ability to recognize and pursue pragmatic alternatives vis--vis a perfect solution, balancing priorities of time with potential business impact. Plan projects, break them down across individual data scientists in the team, track their performance and manage risks. Ability to storyboard an entire presentation to a non-technical audience. Ability to work independently to develop data science solutions, while also being able to work as part of a team to communicate findings and collaborate on solutions. Strong written skills. This is required for submitting technical papers, whitepapers, and developing project documentations. Technical leadership and mentorship to the community of data scientists in the organization. Required Skills (Good to have) Tech: Advanced knowledge in one or more areas besides Machine Learning – Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale. Reinforcement Learning, Graph Machine Learning, Explainable Machine learning. Advanced understanding of Cloud technologies and experience of deploying applications on cloud. Non Tech: Ability to solution critical business problems into its component parts and match each such part with an appropriate technical approach. Roles and Responsibilities As Senior Data Scientist, you will be responsible for a wide range of engagements listed below: Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it. Applies business acumen in analyses to extract meaningful and actionable information. Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience. Leverages various analytical techniques, appropriate to solving the business problem at hand. Performs research for solutions and solves problems efficiently to overcome data analytics challenges. Engages in the collection, integration, analysis, and presentation of data for various business contexts Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them. Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like. Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team. Does peer reviews of codes and approaches of fellow members of the data science team. Provides mentorship to junior data scientists in the team. Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. 4 to 6 years experience is mandatory

-Design, conceptualize prepare presentations and schematic planning -Coordinating and working along with Sr. interior designers -3D and 2D design development -Material selections, mood board presentations and client meetings -Site supervision

Role & responsibilities As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes Analyze complex data using statistical and machine learning models to derive actionable insights Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding Ensure model robustness, model generalization, accuracy, testability, and efficiency Write product or system development code Design and maintain data pipelines and workflows within Azure Databricks for optimal performance and scalability. Communicate findings and insights effectively to stakeholders reports and visualizations. Preferred candidate profile A Master's degree in Data Science, Statistics, Computer Science, or a related field. Over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context. Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn. Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms. Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail. Superior communication skills, enabling the clear and concise presentation of complex findings. Extensive experience in Azure Databricks for data processing, model training, and deployment. Proficiency with Azure Data Lake and Azure SQL Database for data storage and management. Experience with Azure Machine Learning for model deployment and monitoring. In-depth understanding of Azure services and tools for data integration and orchestration.

Dear Candidate, We are seeking a skilled BI & Data Visualization Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining business intelligence solutions, dashboards, and reports to help drive data-driven decision-making. Role & Responsibilities: Develop, maintain, and optimize interactive dashboards and reports . Design and implement data visualization solutions that provide business insights. Extract, transform, and load (ETL) data from multiple sources into BI platforms. Ensure data accuracy, consistency, and reliability across reports and dashboards. Work closely with business stakeholders to understand reporting needs and translate them into technical solutions. Optimize query performance for large datasets. Ensure security and governance of BI data and reports. Stay updated with the latest BI tools and trends . Required Skills & Qualifications: Proficiency in BI tools such as Power BI, Tableau, or Looker. Strong knowledge of SQL and data modeling . Experience with ETL processes and data integration. Familiarity with cloud data platforms (AWS, Azure, GCP). Understanding of data warehousing concepts and best practices. Strong problem-solving and analytical skills . Experience with Python or R for data analysis is a plus. Ability to work collaboratively with cross-functional teams . Excellent communication and presentation skills . Soft Skills: Strong problem-solving and analytical skills. Excellent communication skills to work with cross-functional teams. Ability to work independently and as part of a team. Detail-oriented with a focus on delivering high-quality solutions Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of the HR from my team will contact you as soon as possible. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Role & responsibilities Design, develop, and maintain interactive dashboards and reports in Tableau. Connect Tableau to various data sources and ensure data accuracy. Analyze and interpret data to create meaningful visualizations. Optimize performance of Tableau dashboards for better user experience. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Provide training and support to end-users for effective use of Tableau tools. Preferred candidate profile Proficiency in Tableau and other business intelligence tools. Strong analytical and problem-solving skills. Knowledge of SQL and data integration techniques. Ability to work with large datasets and ensure data quality. Excellent communication and collaboration skills.

Social Media Strategist for Byculla Mumbai Develop and execute social media content strategies aligned with brand goals. Conceptualize and create engaging content tailored for Facebook, Instagram,

Job Title: Demand Planner - Inventory Link to apply: Please find the below link to apply, Copy paste the link in your browser. https://jobs.exxonmobil.com/job-invite/79755/ What role you will play in our team: Job Responsibilities : Coordinate, communicate, and align Drive consistent execution processes for supply planning activities related to turnaround planning regionally and across business units. Critically assess and analyze data (demand plans, inventory reports, supply plans, consumption plans, lead time) and understand implications recognize deviations from the normal and make connections to correct. Liaise between EMTech, EMPS, Upstream, Procurement and Supply Chain. Lead the execution process based upon the demand plan Align on changes to demand/supply plan, understand lead time implications to demand plan Executes Security of Supply mitigation plan for materials Places all orders (requisitions/reservations) in order to fulfil supply plan, liaises with Suppliers and Procurement on performance of ordering and delivery process, liaises with site representatives (including third parties) to ensure orders are delivered per schedule, stored and consumed. Manages the return of any contingency material Recommends changes to the supply planning process based upon execution experiences About You: Skills & Qualifications: Strong background in engineering, supply chain, statistics and/or analytics. Bachelor's degree in Engineering or Supply Chain (or related fields such as Applied Mathematics/Statistics) Minimum 3 years relevant work experience in supply chain demand planning Experience supporting supply chain activities for large scale operations preferred (particularly in Oil & Gas) 3 years or more of experience post-secondary school graduation Experience supporting supply chain activities for large scale operations Experience do you have supporting supply chain activities for large scale operations within the Oil & Gas industry Experienced in conducting analyses and providing data-driven recommendations for S&OP processes Proficiency with extracting information from ERP systems (such as SAP or Oracle) and utilize MS Excel to generate data insights Strong background in analytics Strong and effective interpersonal skills Function effectively in a team environment, including virtual environments is critical Strong analytical and problem solving skills, including conceptual capabilities Strong judgment, including ability to make quality decisions Strong communication skills / influence without direct authority Ability to work independently and without direct supervision Customer oriented mindset and focus Effectively interface with internal functions Understand Supply Chain Fundamentals and Supply & Demand Principles Proficient in SAP Systems and MS Excel knowledge is critical Experience in demand planning roles in Chemical, FMCG, Manufacturing, E -Commerce preferred Experienced in conducting analyses and providing recommendations using SAP IBP/APO, Tableau and/or Power Bl for visualization, Power Query, Excel

About GSPANN : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. GSPANN is looking for a Data Architect. As we march ahead on a tremendous growth trajectory, we seek passionate and talented professionals to join our growing family. Job Position (Title)- BEAT Engineer Experience Required- 5 + Years Location- Hyderabad/Gurgaon/Pune Technical Skills set- Data Visualization, Python, NodeJS/ReactJS, SQL Job Description: Bachelor's degree in Computer Science or Engineering, or equivalent experience 5+ years of experience as a Python Developer with a strong portfolio of Product development projects. Expertise in one or more cloud platforms such as AWS, Azure or GCP and its compute, storage, IAM, API & SQL services Proficient knowledge of object-oriented programming combined with software development experience: Python, Pyspark & SQL. Experience with popular Python frameworks such as Django, Flask or Pyramid. Data engineering experience, throughout its lifecycle (Design, Engineering, Testing, Deployment) Expertise in data pipeline scheduling software such as Apache Airflow or Databrick workflow. Good understanding of Data Modelling and Data warehousing concepts Expertise with any of the databases such as Snowflake, Teradata or Oracle Strong expertise in SQL including stored procedures & events. Experience with tools like Jenkins 2.0 Knowledgeable with GitHub (version control systems) and Jira (issue tracking) Good to know Apache Spark, Hadoop, Hive, Databricks Good to have a working knowledge of NodeJS/Python with React.js and its core principles. Experience in writing unit tests to validate the code based on functional / Technical specs. Roles & Responsibilities: Work closely with cross-functional teams including designers, product managers, and other developers to create high-quality software solutions. Participate in code reviews and provide constructive feedback to peers. Analyze requirements, identify areas for improvement, and devise innovative solutions to technical challenges. Troubleshoot and debug applications to resolve issues and improve performance. Develop and manage database schemas, write optimized SQL queries, and ensure efficient data storage and retrieval. Work with database technologies like PostgreSQL, MySQL, or NoSQL databases Stay updated with the latest industry trends, technologies, and best practices in Python development. Continuously improve and optimize codebase for performance and scalability.

About GSPANN : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. GSPANN is looking for a Data Architect. As we march ahead on a tremendous growth trajectory, we seek passionate and talented professionals to join our growing family. Job Position (Title)- BEAT Engineer Experience Required- 5 + Years Location- Hyderabad/Gurgaon/Pune Technical Skills set- Data Visualization, Python, NodeJS/ReactJS, SQL Job Description: Bachelor's degree in Computer Science or Engineering, or equivalent experience 5+ years of experience as a Python Developer with a strong portfolio of Product development projects. Expertise in one or more cloud platforms such as AWS, Azure or GCP and its compute, storage, IAM, API & SQL services Proficient knowledge of object-oriented programming combined with software development experience: Python, Pyspark & SQL. Experience with popular Python frameworks such as Django, Flask or Pyramid. Data engineering experience, throughout its lifecycle (Design, Engineering, Testing, Deployment) Expertise in data pipeline scheduling software such as Apache Airflow or Databrick workflow. Good understanding of Data Modelling and Data warehousing concepts Expertise with any of the databases such as Snowflake, Teradata or Oracle Strong expertise in SQL including stored procedures & events. Experience with tools like Jenkins 2.0 Knowledgeable with GitHub (version control systems) and Jira (issue tracking) Good to know Apache Spark, Hadoop, Hive, Databricks Good to have a working knowledge of NodeJS/Python with React.js and its core principles. Experience in writing unit tests to validate the code based on functional / Technical specs. Roles & Responsibilities: Work closely with cross-functional teams including designers, product managers, and other developers to create high-quality software solutions. Participate in code reviews and provide constructive feedback to peers. Analyze requirements, identify areas for improvement, and devise innovative solutions to technical challenges. Troubleshoot and debug applications to resolve issues and improve performance. Develop and manage database schemas, write optimized SQL queries, and ensure efficient data storage and retrieval. Work with database technologies like PostgreSQL, MySQL, or NoSQL databases Stay updated with the latest industry trends, technologies, and best practices in Python development. Continuously improve and optimize codebase for performance and scalability.

Function: Risk 1. Monitoring the entire MFI portfolio in terms of delinquencies, industry analysis , peer to peer comparison , external calamities etc. 2. Gathering, analysing, and presenting the data (reporting) relating to area surveys, negative areas and other credit risk parameters and support the business in decision making 3. Monitoring the loan portfolio in the negative areas and review the status. 4. Maintaining files and databases relating to Credit Bureau reports. 5. Administering credit processes and action plans. 6. Develop and implement appropriate mechanisms for the effective monitoring and control of Companys loan book. 7. Reviewing monthly/quarterly delinquency of the customers loans 8. Reviewing Credit profile of the Region/customers to reassess the risk rating/any credit risk exception. 9. Create reports and use visualisation tools to facilitate monitoring of credits across SMFL. 10. Fixing and monitoring of credit limits for district, Region etc and reporting of breaches in the limit. Minimum Qualifications a) Education Graduate/Post Graduate, CA( Inter), PG(Finance) etc. b) Strong analytical skills and the ability to understand process details and how they link to the organizations strategy and objectives. c) Preparation of reports, dashboards and visualisation. d) Detail oriented with the ability to communicate the appropriate level of detail, depending on Target audience e) Excellent communication skills in English.