256 Data Cleaning Jobs - Page 6

You will play a crucial role as part of a team of scientists collaborating closely with external clients to develop efficient predictive models, analyze and validate production model behavior, and ensure optimal model performance. This role will provide opportunities to support the internal technology team in model development and engage in sales activities pertaining to the assessment of models for various client environments. Your contributions will involve building and assessing predictive and decision models for deployment in production systems or research. This encompasses analyzing extensive historical data, determining suitability for modeling, data cleanup and filtering, pattern identification, variable creation, selection of sampling criteria, defining and generating performance metrics, conducting experiments with diverse algorithms and models, and assessing performance to determine the most effective algorithms for implementation. You will assist in the deployment of models into production by conducting production data validations and analyzing score distributions of models in production. Additionally, you will apply data mining techniques to thoroughly analyze model behavior and provide support for customer meetings, model construction, and pre-sales activities. Managing projects within time and resource constraints, collaborating with other teams within FICO, and providing high-quality support to facilitate the integration and deployment of analytics software and solutions will also be part of your responsibilities. You may also participate in post-implementation support. The ideal candidate will possess an MS degree in a statistics, engineering, mathematics, computer science, physics, or operations research field. A PhD is preferred. Some relevant industry experience in predictive modeling and data mining or a PhD without related experience is desirable. Proficiency in Perl/Python, C, C++, or Java, along with familiarity with basic software design principles, coding standards, and best practices, is required. Experience in analyzing large datasets, applying data-cleaning techniques, and conducting statistical analyses to comprehend dataset structures is essential. Knowledge of Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, and SVM is preferred. We offer an inclusive culture that embodies our core values: Acting Like an Owner, Delighting Our Customers, and Earning the Respect of Others. You will have the opportunity to create an impact and enhance your professional growth by leveraging your unique strengths and engaging in valuable learning experiences. We provide highly competitive compensation, benefits, and rewards programs that encourage you to deliver your best every day and be acknowledged for your efforts. Our engaging, people-first work environment promotes work-life balance, offers employee resource groups, and hosts social events to foster interaction and camaraderie.,

You will be responsible for gathering data from different departments and putting it in a format that is easy to read. You will analyze the data based on the provided briefing and align it with the goals of the analysis. It is crucial to present the data to the management in a language that they understand. Additionally, you will be preparing monthly reports on sales, inventory, market share, etc. To excel in this role, you must have a strong proficiency in Microsoft Excel, including a good understanding of Macros and other tools. Handling multiple projects simultaneously and using various data handling tools efficiently is essential. You should be comfortable working with large datasets and have the ability to clean data, especially when it is in multiple formats. Experience in live projects lasting at least one year is preferred. Familiarity with Tableau, Power BI, and machine learning libraries like Pandas will be advantageous. In this position, you will be expected to develop mini dashboards for management as per their specific requirements. Having a clear understanding of what the final output should look like and the ability to interpret and correct Excel sheets prepared by other team members are crucial skills. You should also be adept at identifying errors in Excel sheets and rectifying them effectively.,

Arrk Group India is a technology company with over 23 years of industry experience, specializing in developing scalable platforms to meet the needs of customers and enabling organizations to implement disruptive technologies for business transformation. The focus is on helping both public and private sector customers globally transition to digital environments. As a Senior AI Engineer at Arrk Group India, you will be responsible for AI Engineering System Architecture and Development. This includes understanding generative AI, large language models, and other foundation models for various business applications. You should possess demonstrable knowledge and practical experience in using models programmatically via APIs and have a strong understanding of AI engineering solutions architectures such as RAG. Your practical AI skills should include evaluating models for specific use cases, knowledge of databases like SQL, Postgres, and vector databases like pgvector and ChromaDB. You will explore, analyze, and visualize data at scale to identify differences in data distribution that could impact model performance. Additionally, you will need to verify data quality, clean data, establish ground truth, synthesize data, and organize data for fine-tuning. Proficiency in deploying large language models to production, training models, tuning hyperparameters, and selecting hardware for running ML models with the required latency is essential. You should also be able to analyze machine learning algorithms for problem-solving and rank them based on success probability. Knowledge of OpenCV and familiarity with deep learning frameworks like TensorFlow, PyTorch, or similar is desired, along with experience in AWS Cloud and Sagemaker. In addition to technical skills, you should be comfortable with rapid prototyping, possess strong problem-solving and analytical skills, and have familiarity with version control systems like Git. Proficiency in Python and basic ML libraries, understanding of NLP frameworks such as Spacy, and familiarity with REST APIs are necessary. Knowledge of crawling frameworks like Scrapy, Linux OS, and excellent communication skills are also required. If you meet the specified criteria and are interested in joining a dynamic team working on cutting-edge AI solutions, please share your updated CV to kajal.uklekar@arrkgroup.com. We are looking forward to connecting with talented AI professionals who can contribute to our innovative projects. Thank you, Kajal Uklekar Senior Talent Manager,

As a valuable member of our team, your responsibilities will include supporting data collection from both lab and field validation tests. This will involve performing data cleaning, validation, and basic statistical analysis to ensure the accuracy and integrity of the data gathered. You will also play a key role in preparing structured reports and dashboards for internal review, contributing to the overall efficiency and effectiveness of our processes. Collaboration with test engineers will be essential in your role, as you work together to guarantee data accuracy and consistency across all testing procedures. Your contributions to data-driven insights will be crucial for root cause analysis and identifying areas for performance improvement. By leveraging your analytical skills and attention to detail, you will play a vital part in driving our continuous improvement efforts and ensuring the quality of our testing processes.,

As a Data Engineer, your primary responsibility will be to build and manage systems that collect, store, clean, and deliver data for various teams within the company, such as analysts, data scientists, and business users. Working with large datasets, you will focus on improving data quality, optimizing performance, and ensuring others can access the necessary data reliably and securely. Your key responsibilities will include building and maintaining data pipelines to pull data from diverse sources, processing it, and storing it for easy access. You will assemble large, complex datasets that align with both business and technical requirements, automate and optimize processes to enhance efficiency, and create tools to assist data teams in uncovering valuable insights like customer behavior and performance metrics. Collaboration with different teams, including product, design, and executive teams, will be essential to address data-related challenges, while ensuring the security and protection of sensitive data. Supporting data scientists by developing tools and systems to streamline their work processes is also part of your role, along with continuously seeking improvements in how data is utilized within the business. To excel in this role, you must possess expertise in data architecture and modeling to design scalable systems for easy analysis, proficiency in building and managing data pipelines, and ensuring data cleanliness for usability. Strong collaboration skills, the ability to document processes clearly, and basic knowledge of machine learning concepts are crucial. Proficiency in technical tools such as Python for writing clean, reusable code, Spark (PySpark and SparkSQL), SQL for data querying and manipulation, as well as familiarity with Git, GitHub, and JIRA for version control and task tracking is essential. Effective communication skills are necessary to convey data concepts to non-technical individuals. Additionally, having experience with Azure Cloud tools like Databricks or Synapse Analytics, familiarity with Azure Data Management tools such as Azure SQL Data Warehouse or Cosmos DB, and hands-on experience in deploying machine learning models in real-world applications are considered advantageous for this role.,

As an Intern at Digital Web Bytes, your responsibilities will include filling out forms on various websites with accuracy, entering and updating data in Excel spreadsheets, cleaning, validating, and organizing data as needed, maintaining records, ensuring proper file naming, reporting task progress, and flagging any data issues. It is essential to follow data entry guidelines and confidentiality protocols to maintain the integrity and security of the information. Digital Web Bytes is an SEO agency based in Lucknow, India, specializing in providing SEO services and website design services. As a startup company, we leverage our creative energies to develop innovative strategies that help small businesses grow organically through internet marketing. Our focus is on achieving sustainable rankings through SEO and generating leads through PPC campaigns. In the dynamic world of digital business, Digital Web Bytes is committed to guiding and supporting our clients every step of the way.,

The selected intern will be responsible for collecting and extracting data from primary and secondary sources using automated tools, databases, APIs, or web scraping techniques. They will assist in cleaning, preprocessing, and organizing data for analysis and reporting purposes. The intern will support the identification of patterns, trends, and anomalies in structured and unstructured datasets. Utilizing tools such as Python, Excel, SQL, or R, they will process large volumes of data. Collaborating with analysts, the intern will contribute to building and maintaining data dashboards, visualizations, and reports. Additionally, they will assist in applying data mining techniques such as classification, clustering, regression, and association rule mining. The intern will also help maintain documentation and data integrity standards to ensure accurate results. Furthermore, they will conduct competitor or market intelligence research using data scraping and public databases (if applicable) and stay updated on data privacy regulations to ensure ethical handling of sensitive data. LogicizeIP is devoted to helping individual entrepreneurs and inventors, institutions, universities, and companies secure their IP rights for their ideas, inventions, and designs at an affordable cost worldwide. The company's mission is to make IP services easier for both new and existing users to protect their creations conveniently and hassle-free. LogicizeIP ensures that your idea always belongs to you and is completely protected, aiming to encourage inventiveness and shield it.,

As a Specialist, Research at WorldatWork, you will play a crucial role in supporting our research efforts by managing surveys, conducting data analysis, and contributing to various research projects. With a strong technical skill set and the ability to work independently, you will help translate data into valuable insights that inform business decisions and advance the Total Rewards profession. Your primary responsibilities will include independently programming and managing surveys using platforms like Qualtrics or Voxco, ensuring accurate data collection, and resolving technical issues that may arise during fieldwork. You will also be responsible for data cleaning and preparation, performing basic data analysis, and conducting market research studies by analyzing both primary and secondary data sources. Collaboration is key in this role, as you will work closely with the research team to develop reports, presentations, and dashboards. You will contribute to narrative development, create data visualizations, and ensure the accuracy and quality of research outputs before submitting them for review by senior team members. To excel in this role, you should hold a Bachelor's or Master's degree in a related field such as Industrial/Organizational Psychology, Social Psychology, Statistics, Business Analytics, Market Research, or another quantitative social science field. Additionally, you should have at least 2 years of professional-level experience in research, data analytics, or market research, with a strong background in survey programming, data analysis, and market research methodologies. Your proficiency in survey programming tools, data analysis software, and market research techniques will be essential in this role. Strong organizational skills, effective communication, and the ability to work both independently and collaboratively with cross-functional teams will also be critical to your success. If you have experience in data visualization, dashboard creation, SQL database queries, or qualitative data analysis, it will be considered a plus. Familiarity with Total Rewards programs, workplace research, human resources topics, and user experience research principles will also be beneficial in this role. Join us at WorldatWork and be part of a dynamic team that is dedicated to advancing the field of Total Rewards through research, data analysis, and market insights.,

You will be responsible for assisting in the development and implementation of machine learning models and algorithms. Your role will involve writing clean, efficient, and reusable Python code for data processing, modeling, and deployment. Additionally, you will work on datasets including data cleaning, preprocessing, feature engineering, and visualization. Collaboration with senior data scientists and developers to build scalable ML solutions is a key aspect of this role. You will also be required to conduct literature reviews and stay updated on the latest ML/AI research to contribute effectively to the team. Furthermore, your responsibilities will include contributing to model deployment and integration with APIs or web applications, with a basic knowledge being sufficient for this aspect of the role.,

You will be joining our team as a Junior Data Scraping Specialist at one of the leading IT product companies. In this role, you will receive training and mentorship to support in collecting, cleaning, and transforming data from various online sources. This position offers an excellent opportunity to initiate your career in data engineering and web scraping. Your responsibilities will include assisting in data collection by scraping information from websites using basic scraping tools and techniques. You will learn to utilize popular web scraping libraries and tools, clean and organize raw data into structured formats like CSV, JSON, or Excel files, and support in automating data scraping tasks through simple scripts and tools guided by senior team members. Additionally, you will conduct research to identify potential data sources, test scraping scripts, and collaborate closely with data analysts and developers to gather data for reports or analysis. To excel in this role, you should have basic knowledge of HTML, CSS, and web structures, problem-solving abilities to troubleshoot data extraction issues, attention to detail to ensure data accuracy, eagerness to learn new skills related to web scraping and data processing, and excellent communication skills for effective collaboration within the team. This position requires 0-1 year of experience, making it an ideal opportunity for individuals looking to kick-start their career in the field of data engineering and web scraping.,

Appinventiv is a global product development and digital transformation agency that leverages cutting-edge technologies like Artificial Intelligence, Blockchain, Cloud, and Data Analytics to create AI-powered digital products and solutions. With a team of over 1,600 innovators across six global centers, Appinventiv has launched more than 3,000 products, transforming industries and enhancing user experiences. This is a full-time on-site role for a Junior Analyst located in Noida. You will be responsible for data analysis, preparing reports, and providing insights to support decision-making processes. Your day-to-day tasks will include collecting and analyzing large datasets, identifying trends and patterns, creating visualizations, and collaborating with various departments to ensure data accuracy and consistency. This role requires strong analytical skills and attention to detail to contribute effectively to the company's projects and objectives. To excel in this role, you should have proficiency in Data Analysis and Data Visualization tools, along with 1-3 years of experience in the field. Experience with Data Collection, Data Cleaning, and Data Preparation is essential, as well as strong skills in Statistical Analysis and Trend Analysis. Knowledge of Excel and SQL is necessary for this position. Additionally, excellent problem-solving and critical-thinking skills, strong written and verbal communication skills, and the ability to work collaboratively in a team environment are important qualities for this role. A Bachelor's degree in Data Science, Statistics, Economics, or a related field is required. Experience in the technology sector would be a plus for this position. If you meet the qualifications and are looking to join a dynamic team focused on leveraging technology to drive digital innovation, this role as a Junior Analyst at Appinventiv could be the next step in your career.,

As a valuable member of our team, you will be responsible for supporting data collection activities from laboratory and field validation tests. This will involve assisting in the process of gathering raw data, ensuring its accuracy, and organizing it effectively for further analysis. In addition, you will play a crucial role in performing data cleaning, validation, and basic statistical analysis to derive meaningful insights from the collected data. Your contribution in preparing structured reports and dashboards for internal review will be essential in communicating key findings to stakeholders. Collaboration with test engineers will be a key aspect of your role to ensure data accuracy and consistency throughout the testing process. By working closely with the team, you will contribute to data-driven insights that can be used for root cause analysis and performance improvement initiatives. Overall, this position offers a great opportunity to be involved in the end-to-end data management process and to make a significant impact on the quality and effectiveness of our testing procedures.,

As an ML Engineer, you will play a crucial role in developing and implementing various Machine Learning models that contribute to the growth of the company. Your primary focus will be on creating ML workflows tailored for the legal industry to enhance the efficiencies of in-house teams at Draft n Craft. This position offers you the opportunity to enhance your ML/Data Engineering skills while actively participating in the creation of valuable products. Your responsibilities will include developing data ingestion and preprocessing pipelines to extract actionable insights from legal data, ensuring accurate and consistent data cleaning for ML models, and experimenting with different ML models and architectures suitable for the legal industry. You will also be responsible for deploying ML models in production environments, analyzing model performance metrics, and improving model efficiencies. Additionally, you will document data preprocessing steps, model development processes, and optimization techniques. Collaboration with software engineers within the company will be essential, requiring an understanding of software development terminologies. Integration of ML models into existing software solutions and employee workflows will also be part of your role. The ideal candidate holds a degree in Computer Science Engineering, Data Science, or related fields. A minimum of 2 years of experience as an ML Engineer or Data Scientist is required, along with strong programming skills in Python and familiarity with libraries such as Tensorflow, PyTorch, and Pandas. Proficiency in SQL/NoSQL for database querying, working with data extraction and ETL pipelines, and experience in NLP, Neural Networks, and Gen AI technologies are essential. Familiarity with transfer learning on LLM models and deploying ML models to cloud services like AWS/Azure is preferred. Some experience in software development will be advantageous. This is a full-time position with a preferred total work experience of 6 years. The work location is in person.,

As a Data Analysis Faculty at URBX Knowledge Park, you will play a crucial role in guiding students to master essential tools such as MS Excel, CRM, Power BI, and other data management applications. Your primary responsibility will be to combine industry knowledge with effective teaching methods to make data concepts clear, practical, and career-oriented for the students. The ideal candidate for this position should possess a minimum of 2+ years of teaching experience and at least 1 year of industry experience in data analysis or business intelligence roles, amounting to around 3 years of total experience. Your key responsibilities will include delivering engaging classes on advanced features of MS Excel, CRM systems, Power BI, and other data analysis tools. You will also teach data handling, visualization, reporting, and interpretation using real-world examples, ensuring active student participation through interactive teaching methods. In addition, you will be responsible for developing high-quality study materials, hands-on exercises, and case studies based on real industry scenarios. You will create and evaluate tests, projects, and assignments to track student progress, while regularly updating content to align with the latest trends and technologies in data analysis. As a mentor, you will guide students in building practical projects and portfolios that showcase their data skills. Providing personalized feedback and support to help students enhance their technical abilities will be a key aspect of your role. You will also motivate students to apply analytical thinking to solve business problems effectively. To excel in this role, you should stay updated with evolving data tools, analytics trends, and business intelligence practices. Sharing practical insights and experiences to prepare students for real-world job roles will be crucial in ensuring the relevance of the curriculum. Qualifications for this position include a minimum of 2+ years of teaching experience in data analysis, business intelligence, or related fields, along with at least 1 year of industry experience working with tools like Excel, Power BI, CRM systems, or equivalent platforms. Proficiency in data cleaning, visualization, dashboards, and reporting techniques, as well as strong communication and presentation skills, are essential. Your ability to break down complex data concepts into easy-to-understand lessons, coupled with a genuine passion for mentoring students and preparing them for careers in data analysis and business intelligence, will make you a valuable asset to our team. If you are a data professional eager to inspire and prepare the next generation of data analysts and business intelligence experts, this is a great opportunity for you to join us at URBX Knowledge Park. Together, we can shape the future of data-driven professionals. Note: This is a full-time, permanent position with a day shift schedule, requiring in-person work at URBX Knowledge Park.,

As a LLM Engineer at HuggingFace, you will play a crucial role in bridging the gap between advanced language models and real-world applications. Your primary focus will be on fine-tuning, evaluating, and deploying LLMs using frameworks such as HuggingFace and Ollama. You will be responsible for developing React-based applications with seamless LLM integrations through REST, WebSockets, and APIs. Additionally, you will work on building scalable pipelines for data extraction, cleaning, and transformation, as well as creating and managing ETL workflows for training data and RAG pipelines. Your role will also involve driving full-stack LLM feature development from prototype to production. To excel in this position, you should have at least 2 years of professional experience in ML engineering, AI tooling, or full-stack development. Strong hands-on experience with HuggingFace Transformers and LLM fine-tuning is essential. Proficiency in React, TypeScript/JavaScript, and back-end integration is required, along with comfort working with data engineering tools such as Python, SQL, and Pandas. Familiarity with vector databases, embeddings, and LLM orchestration frameworks is a plus. Candidates with experience in Ollama, LangChain, or LlamaIndex will be given bonus points. Exposure to real-time LLM applications like chatbots, copilots, or internal assistants, as well as prior work with enterprise or SaaS AI integrations, are highly valued. This role offers a remote-friendly environment with flexible working hours and a high-ownership opportunity. Join our small, fast-moving team at HuggingFace and be part of building the next generation of intelligent systems. If you are passionate about working on impactful AI products and have the drive to grow in this field, we would love to hear from you.,

Position Overview: As a Data Analyst Intern, you will play a crucial role in supporting data collection, analysis, and reporting activities for the team. This internship offers an excellent opportunity for students with strong SQL skills to apply their technical expertise to real-world data challenges and gain valuable experience. Key Responsibilities: Data Extraction & Cleaning: Extract, clean, and prepare data from various sources using SQL, ensuring consistency and accuracy across datasets. Reporting: Assist in creating ad-hoc and standard reports based on business requirements. Data Analysis: Conduct analysis to identify trends, patterns, and key insights, providing actionable recommendations. Collaboration with Stakeholders: Work closely with business teams to understand data needs and provide valuable insights. Dashboards & Visualization: Develop and maintain dashboards and data visualizations using tools like Excel or Power BI. Automation: Use Excel Macros to automate repetitive tasks, enhancing data workflows. Data Quality Assurance: Support data validation processes to ensure high data quality across systems. Statistical Analysis: Perform basic statistical analysis and summarize findings in a clear and concise manner. Presentation Preparation: Assist in preparing presentations and reports for internal teams and stakeholders. Skills & Qualifications: Currently pursuing or recently completed a B. Tech degree in Computer Science, Information Technology, or a related field. Hands-on experience with SQL for querying, manipulating, and analyzing large datasets. Proficiency in Microsoft Excel, including experience with Macros for data analysis and task automation. Strong analytical and problem-solving skills with a keen eye for detail. Basic knowledge of data visualization tools like Power BI, Tableau, or Excel (preferred). Ability to work independently and as part of a team in a fast-paced environment. Strong communication skills for conveying data insights effectively. Quick learner with the ability to adapt to new tools and technologies. Additional Preferred Skills: Experience with Excel Macros to streamline and automate data tasks (highly desirable). Familiarity with data processing tools or scripting languages like Python is a plus. What You Will Gain: Practical experience working with real-world datasets and databases. Exposure to data analysis and reporting processes in a professional setting. Opportunities to develop skills in SQL, Excel, and data visualization tools. Mentorship and guidance from experienced data professionals. A chance to work on impactful projects that contribute to the companys data driven goals.

You are invited to join the dynamic team at HCL Software, a Product Development Division of HCL Tech, where we deliver cutting-edge software solutions catering to the transformative needs of clients worldwide. Our portfolio includes award-winning products in AI, Automation, Data & Analytics, Security, and Cloud domains. One of our flagship products is the HCL Unica+ Marketing Platform, which empowers our clients to execute precise and high-performance marketing campaigns across diverse channels such as social media, AdTech platforms, mobile applications, and websites. The Unica+ Marketing Platform stands out as a Data and AI first platform, enabling our customers to create hyper-personalized offers and messages for customer acquisition, product awareness, and retention. If you have a passion for leveraging Data Science and Machine Learning technologies to drive AI-driven Marketing Campaigns, we are looking for a skilled Sr. & Lead Python Developer with over 6 years of experience in this field to join our team. Qualifications & Skills: - A minimum of 6-12 years of Python Development Experience, with at least 4 years focused on data science and machine learning. - Proficiency with Customer Data Platforms (CDP) such as Treasure Data, Epsilon, Tealium, Adobe, and Salesforce is considered advantageous. - Experience with AWS SageMaker is a plus. - Familiarity with Lang Chain, RAG for Generative AI, Integration tools, and frameworks like Postman, Swagger, and API Gateways. - Strong knowledge of REST, JSON, XML, and SOAP. - Ability to collaborate effectively within an agile team setup. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT is required. Responsibilities: - Proficient in Python programming, utilizing libraries like Pandas, NumPy, and Matplotlib/Seaborn for data manipulation, numerical operations, and data visualization. - Strong understanding of statistical concepts and modeling techniques, including hypothesis testing, regression analysis, and time series analysis. - Expertise in data cleaning, preprocessing, and feature engineering to handle real-world data effectively. - Proficient in SQL for database management and querying relational databases. - Skilled in exploratory data analysis to identify patterns and relationships within datasets. - Hands-on experience with various machine learning algorithms and deep learning frameworks like TensorFlow or PyTorch. - Ability to evaluate models, optimize performance, and deploy machine learning solutions in production environments. This role may involve approximately 30% travel, and the preferred location is India, with Pune being the preferred choice. If you are ready to contribute to innovative projects and be rewarded with a competitive base salary and bonus structure, we look forward to meeting you for a face-to-face interview on 2nd August in Hinjewadi, Pune.,

As an AWS Architect, you will be responsible for owning the architectural design, development, delivery, and maintenance of AI-based solutions. Your primary role will involve leading a team to build innovative solutions on the AWS platform. To excel in this position, you must have hands-on experience in AWS architectural development and a strong understanding of various AWS services such as Analytics, Big data, Databases, Security, Containerization, Application deployment, and CI/CD. Additionally, you should possess basic knowledge of Data analysis and Machine Learning, including data preprocessing, cleaning, modeling, and deployment experience. Requirements engineering and problem-solving skills are essential for this role, along with an AWS Solutions Architect certification. Good communication and presentation skills in English are necessary to effectively interact with stakeholders. A continuous learning attitude is crucial in keeping up with the latest technologies and trends in the field. Experience in automotive data analysis and working with international clients would be beneficial for this position. If you meet these requirements and are passionate about designing cutting-edge solutions on the AWS platform, we encourage you to apply for this exciting opportunity.,

As an LLM Engineer, your primary responsibility will be to develop, fine-tune, and deploy large-scale natural language models such as GPT, BERT, and similar transformer-based architectures. You will collaborate closely with data scientists, AI researchers, and software engineers to create cutting-edge language models that drive innovative solutions across various applications like chatbots, summarization, translation, and more. Your key responsibilities will include building and fine-tuning large language models to address specific business challenges, ensuring they meet performance standards. You will also be involved in curating, preprocessing, and augmenting datasets to enhance model training and generalization. Furthermore, deploying and managing LLMs in production environments using tools like Docker, Kubernetes, or cloud platforms will be part of your role. Post-deployment, you will continuously monitor model performance, striving to enhance accuracy, diminish bias, and optimize latency. It is imperative to stay updated with the latest NLP and transformer advancements, implementing state-of-the-art techniques to elevate model efficiency. Collaboration is crucial as you will work closely with cross-functional teams, including data engineers, front-end developers, and product managers, to deliver robust AI solutions. Developing mechanisms to make model outputs comprehensible to non-technical stakeholders is essential. You will also optimize large-scale models for efficient inference and scalability across distributed systems. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proficiency in Python, familiarity with libraries like TensorFlow, PyTorch, Hugging Face Transformers, and other NLP frameworks is essential. Hands-on experience with large-scale language models, NLP expertise, and proficiency in cloud environments are crucial. Additionally, strong communication skills, teamwork, and the ability to work in collaborative, fast-paced environments are vital for success. Preferred skills include knowledge of transformer-based models, LLM scaling strategies, contributions to the NLP research community, familiarity with prompt engineering, and an understanding of reinforcement learning techniques for enhancing LLM interaction quality.,

As a Senior Data Quality Analyst at TriNet, you will play a crucial role in ensuring the accuracy, consistency, and integrity of data within the organization. Your responsibilities will include analyzing and validating data to maintain high quality standards, conducting thorough assessments of data quality across various sources, and collaborating with data governance teams to establish and enforce data quality standards and policies. You will be expected to develop and implement data quality standards and processes, continuously monitor data quality metrics, and work closely with IT, data management, and business teams to design and implement data strategies and models. Root cause analysis of data quality issues, recommending corrective actions, and providing training and support to data stewards and team members on data quality best practices will also be part of your role. A Bachelor's Degree in Computer Science, Information Technology, Statistics, or a related field is required for this position, along with a minimum of 5 years of experience in data quality analysis or a related field. Proficiency in SQL and data analysis tools, strong analytical and problem-solving skills, excellent attention to detail, and the ability to work collaboratively with cross-functional teams are essential for success in this role. Additionally, strong communication and presentation skills, proficiency in Microsoft Office Suite, and experience working with domain structures are desired qualifications. This is an on-site position based in India with minimal travel requirements. The work environment is clean, pleasant, and comfortable, enabling you to focus on performing the essential functions of the job effectively. TriNet is committed to building a diverse, inclusive, and authentic workplace, and encourages candidates who are excited about the role to apply even if their past experience does not align perfectly with every single qualification in the job description. In summary, as a Senior Data Quality Analyst at TriNet, you will have the opportunity to contribute to the success of the organization by ensuring high data quality standards and processes are maintained, collaborating with various teams to address data-related issues, and continuously improving data quality processes and tools. If you are passionate about data quality and eager to make an impact in a dynamic and innovative environment, we invite you to apply for this exciting opportunity.,

The role of a Data Analyst is crucial in utilizing data to drive business decisions and strategies. You are responsible for collecting, processing, and analyzing data to provide actionable insights that can help improve organizational processes, products, and services. You play a pivotal role in aiding businesses to make informed decisions by interpreting complex data sets and identifying trends. Key responsibilities include collecting and interpreting data from various sources, cleaning and transforming data for analysis, identifying patterns and trends in data sets, developing and maintaining databases, creating visualizations and reports to communicate findings, conducting statistical analysis to support business decisions, collaborating with cross-functional teams to understand data needs, using statistical and data analysis tools to interpret data, developing and implementing data analysis strategies, identifying and recommending process improvements based on data insights, presenting findings to stakeholders and business leaders, ensuring data accuracy and integrity, keeping abreast of industry best practices and technological advancements, assisting in the development of data-driven strategies, and supporting data-driven decision-making processes. Required Qualifications: - Bachelors or Masters degree in Computer Science, Statistics, Economics, Mathematics, or related field - Proven experience as a Data Analyst or related role - Proficiency in SQL for querying and data manipulation - Strong knowledge of data analysis and visualization tools such as Python, R, Tableau, or Power BI - Ability to interpret and analyze complex data from multiple sources - Solid understanding of statistical methods and their applications - Experience in data cleaning and transformation techniques - Excellent analytical and problem-solving skills - Ability to communicate complex findings in a clear and understandable manner - Knowledge of data warehousing and database management systems - Experience in conducting root cause analysis and process improvement - Proven track record of delivering actionable insights from data - Ability to work independently and in cross-functional teams - Strong attention to detail and accuracy - Certifications in data analysis or related fields is a plus Skills required for this role include python, tableau, communication, problem-solving, data cleaning, root cause analysis, data analysis, statistics, SQL, R, data transformation, Power BI, database management, data warehousing, statistical analysis, and data visualization.,

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. Your primary responsibility in this role is to effectively manage and analyze large volumes of data, aiming to extract valuable insights. You should possess exceptional analytical skills and the ability to manipulate and interpret complex datasets using various technologies, including programming languages. Additionally, you should be able to build strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. Key Requirements: - **Data Analysis:** Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. - **Data Validation, Cleaning and Preprocessing:** Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity. - **Data Visualization:** Present findings clearly through charts, graphs, and visualizations. Enable users to understand and interpret data effectively through visual representations. - **Ad-hoc Data Analysis:** Conduct ad-hoc data analysis to provide actionable recommendations. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. - **Collaboration:** Work closely with cross-functional teams, including business analysts, data engineers, and data scientists. Understand their requirements and provide data-driven solutions, fostering effective teamwork and communication. - **Storytelling:** Generate insights from data and communicate them to key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on processes, products, or business. - **Documentation:** Develop and maintain documentation related to data analysis processes. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. - **Continuous Improvement:** Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, aligning with industry best practices. Essential Requirements: - Strong analytical skills with the ability to manipulate and interpret large datasets, knowledge of statistical techniques and data mining algorithms. - Proficiency in programming languages (e.g., Python) and strong SQL with an aptitude for learning other analytics tools. - Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. - Effective communication skills to present findings to both technical and non-technical stakeholders. Desirable Requirements: - 5+ years of extensive experience in Data and/or Business Analytics, candidates with a background in Financial Data Analytics will be an added advantage. - Bachelor's or Master's degree in a relevant field such as mathematics, statistics, economics, or computer science. - Strong written and verbal communication skills. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,

As a skilled candidate for this position, you should possess a minimum of 8 to 10 years of experience in Java, REST API, and Spring Boot. Additionally, you must have hands-on experience with AngularJS, ReactJS, or VueJS. A bachelor's degree or higher in computer science, data science, or a related field is required. Your role will involve working with data cleaning, visualization, and reporting, requiring practical experience in these areas. Previous exposure to an agile environment is essential for success in this position. Your excellent analytical and problem-solving skills will be key assets in meeting the job requirements. In addition to the mandatory qualifications, familiarity with the Hadoop ecosystem and experience with AWS (EMR) would be advantageous. Ideally, you should have a minimum of 2 years of experience with real-time data stream platforms like Kafka and Spark Streaming. Your ability to navigate and utilize the context menu efficiently will also be beneficial in this role. Excellent communication and interpersonal skills will be necessary for effective collaboration within the team and with stakeholders.,

At Kisah, we believe that data drives decisions, and decisions drive success. We are in the process of building a dynamic and data-first organization where accurate and actionable insights power our growth. As a Business Intelligence Analyst, you will have a significant role in shaping our understanding of business performance by managing, transforming, and presenting data in meaningful ways. Role Overview: We are looking for a data-obsessed Business Intelligence Analyst who will be tasked with managing ETL (Extract, Transform, Load) processes and developing critical dashboards across the organization. This position requires an individual who is passionate about consuming and making sense of complex datasets from various sources, cleaning and reconciling data, and presenting it in an accurate, consumable, and visually compelling manner. You will serve as the backbone of our data ecosystem, creating dashboards that support decision-making in key areas such as sales, supply chain, and operations, all while ensuring data accuracy and storytelling for our teams. Key Responsibilities: ETL Processes: - Extract, clean, and transform large datasets from diverse sources, ensuring accuracy and usability. - Automate ETL workflows to enhance data processing efficiency. Dashboard Development & Management: - Develop and maintain dashboards for critical business functions, including sales, supply chain, inventory planning, and operations metrics. - Ensure dashboards convey a story through clean, consumable visuals that enable actionable insights. Data Integration: - Reconcile sales data from multiple marketplaces with financial data (e.g., Statement of Accounts). - Merge datasets from disparate sources to create unified views for strategic decision-making. Cross-Functional Collaboration: - Collaborate closely with teams across sales, operations, finance, and supply chain to understand data needs and deliver tailored solutions. - Support data-driven decision-making across the organization by providing timely and accurate insights. Data Accuracy & Consistency: - Monitor data pipelines and reports to ensure accuracy and proactively identify discrepancies. - Maintain a focus on cleaning and validating data for accuracy and reliability. Data Storytelling: - Present complex data insights in a manner that is easy to understand, actionable, and visually appealing. Qualifications & Skills: Technical Proficiency: - Advanced skills in Excel, Power Query, and Power BI. - Strong experience in managing ETL workflows and working with large datasets. - Familiarity with SQL, data cleaning, and data reconciliation techniques. Education & Experience: - 2+ years of experience in a similar data-driven role, preferably in e-commerce, retail, or a fast-paced environment. - Bachelor's degree in Business Analytics, Data Science, Computer Science, or a related field. About Us: Kisah Apparels Private Limited is a fast fashion mens ethnic-wear brand known for its innovative products, edgy designs, and premium-quality appealing to young consumers who look for affordable high fashion. Since its inception, Kisah has been growing 50% YoY and has demonstrated market leadership in fashion e-commerce. Kisah is backed by marquee investors and is now aiming to grow exponentially across multiple channels within and outside India. With this significant growth in the pipeline and a commitment to deliver exceptional customer experiences, we are continuously evolving our finance and operations to meet the demands of our expanding customer base.,

The Data Processing Manager will be a key member of the newly formed India-based DMD Hub, supporting quantitative healthcare market research projects across global markets. This role is responsible for the accurate and timely production of tabulations, both interim and final, and requires close collaboration with research, project management, and scripting teams. You will be running and validating interim and final tabulations for quantitative research studies using relevant software such as Q, Quantum, SPSS, Excel-based platforms, or proprietary tools. It is crucial to ensure all tabulations meet internal and client-specific formatting, logic, and output requirements. You will be responsible for checking tabulated data for accuracy, completeness, and consistency before delivery. Additionally, you will support QA processes and documentation to maintain high data standards across projects. Your role will involve assisting in preparing raw datasets for processing, including basic cleaning, formatting, and consistency checks. You will work with coded and uncoded datasets, ensuring proper integration into final tabulation outputs. Collaboration with the scripting/programming team is essential to ensure accurate data structure for tabulation. It is important to work closely with the research and project management teams to understand project requirements, timelines, and deliverables. Your input and feedback to internal stakeholders will be valuable in optimizing processes and outputs. Managing assigned tasks within deadlines and proactively flagging any delays or data issues to the manager and wider team will be part of your responsibilities. Maintaining clear documentation of tabulation processes and version control is necessary. You will support in updating project logs and workflow tracking systems. Continuous improvement of knowledge of data processing tools, tabulation best practices, and healthcare market research processes is expected. Furthermore, you will provide training, mentorship, and professional development to the DP team. Skills and Experience: - More than 8 years of experience in data processing within a market research agency, preferably in healthcare but other market research sectors will also be considered. - Strong proficiency in data tabulation software, preferably Q, but experience with Quantum or similar tools will be recognized. - Exposure to or understanding of survey scripting tools and survey data structures is advantageous. - Knowledge of data cleaning, validation, coding (open-ends), and cross-tabulation methodologies. - Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management. - Understanding of quantitative research methodologies, questionnaire structures, and healthcare market research best practices. - Experience with data mapping, data transformations, and structuring for reporting purposes. - Problem-solving skills, particularly in situations requiring analytical judgment and establishing best practice solutions. - Skilled in handling complex datasets, multiple data sources, and large volumes of data efficiently. - Strong communication skills, particularly in explaining technical points to non-technical individuals in an international environment. - Ability to identify process improvement opportunities and implement SOPs for efficiency. - High attention to detail with a strong focus on data accuracy and consistency. - Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data. - Ability to interpret tabulation specifications and apply them accurately. Our company values diversity and inclusivity. If you are excited about this role but do not meet every job requirement, we encourage you to apply. Your unique experience and perspective may make you the perfect fit for this position or other opportunities within our organization.,