401 Data Cleaning Jobs - Page 15

We are Brainlabs, the High-Performance media agency, on a mission to become the world's biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. Our formula for success lies in our Superteams of Brainlabbers, fueled by data and enabled by technology. At Brainlabs, we prioritize our culture above all else. Our shared principles, philosophies, and values, as documented in The Brainlabs Handbook, have shaped our unique culture from the agency's inception. To further enhance and evolve our culture, The Brainlabs Handbook has been refined into The Brainlabs Culture Code. The Brainlabs Culture Code comprises 12 codes that define what ...

Insurance Domain Expert - Data Migration || 7+ years || Noida Years of exp: 7+ years Work mode: Hybrid Overview : Seeking an experienced Insurance Domain Expert to lead data migration projects within the organization. The ideal candidate will have a deep understanding of the insurance industry, data management principles, and hands-on experience in executing successful data migration initiatives. Key Responsibilities: 1. Industry Expertise: - Provide insights into best practices within the insurance domain to ensure compliance and enhance data quality. - Stay updated on regulatory changes affecting the insurance industry that may impact data processing and migration. 2. Data Migration Leader...

As a senior analyst in the Data Processing team, you will be responsible for managing quantitative data processing tasks to ensure the successful completion of global market research studies. Your primary duties will involve executing programming, data management, cleaning, coding, and validation processes with a focus on achieving high accuracy and compliance with both internal and regulatory standards. It will be essential for you to handle multiple projects simultaneously, working closely with team leads and research teams to meet deadlines while upholding data quality standards. Your responsibilities will include managing all aspects of data processing for complex global market research ...

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropr...

AI / Machine Learning / Data Science part time Work from Home (Any where in world) Warm Greetings from Excel Online Classes, We are a team of industry professionals running an institute that provides comprehensive online IT training, technical support, and development services. We are currently seeking AI / Machine Learning / Data Science Experts who are passionate about technology and can collaborate with us in their free time. If you're enthusiastic, committed, and ready to share your expertise, we would love to work with you! Were hiring for the following services: Online Training Online Development Online Technical Support Conducting Online Interviews Corporate Training Proof of Concept ...

Key Responsibilities Develop and maintain backend systems using Django and Django Rest Framework (DRF) Write clean, modular, and scalable code for APIs, forms, and admin panels Collaborate with frontend developers to integrate REST APIs with responsive UI Work with file upload systems, data cleaning (Pandas), and scheduled jobs (APScheduler/Celery) Handle database modeling, migrations, and optimization Assist in deploying applications on Linux/Ubuntu servers (DigitalOcean or similar) Write unit tests and participate in peer code reviews Debug production issues and optimize system performance Maintain documentation and contribute to agile sprint planning Must-Have Skills Strong hands-on exper...

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement mod...

Seeking a Junior Analyst with strong Excel skills, data analysis expertise, and attention to detail to create reports and support business insights. Were hiring a Junior Analyst with 1-2 years of experience and strong Excel skills to create reports, analyze data, and support business decisions. Attention to detail and a proactive mindset are key. Apply now to be part of a data-driven team!

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Machine Learning, NumPy, Data Cleaning, Python, Model evaluation, pandas, Statistics We are seeking a talented Data Scientist II to join our team. The ideal candidate will have 2-5 years of experience in data science and possess expertise in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. ** Duties and Responsibilities: Develop and implement machine learning models to extract insights from large datasets. Utilize deep learning techniques to enhance data analysis and predictive modeling. Write efficient Python code to manipulate and analyze dat...

About the Role Minimum 6+ years of experience as Data Platform Engineer Cloud data platform engineer who designs, builds, and manages data storage and workflows in cloud environments. They ensure that data is secure, accessible, and processed efficiently. Data Platform Management and Optimization - designs, builds, and manages data storage and workflows/compute in cloud environments. Roles & Responsibilities: Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. Professional &...

Communicating with various service providers like Custodian, Fund Accountant, R&T Agent for day to day Back-Office operations. Also, with Trustee and Auditors for various report submissions. Key Responsibilities: 1. Day-to-Day Operations Assist in managing daily operational tasks including data entry, reporting, and tracking. Coordinate with internal teams such as sales, HR, accounts, and logistics to ensure timely task execution. Handle documentation and maintain organized records of transactions and internal communications. 2. Process Coordination Help develop and enforce efficient internal workflows. Coordinate with vendors, service providers, and internal stakeholders to ensure timely de...

Overview Provide advanced analytics support for the LATAM Sector in the Insights Services Center; a part of the broader Global Business Services function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for LATAM to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related ass...

Qualification & Experience: Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies. Technical Responsibilities Excellent proficiency in Python, with a strong focus on developing advanced skills. Extensive exposure to NLP and image processing concepts. Proficient in version control systems like Git. In-depth understanding of Azure deployments. Expertise in OCR, ML model training, and transfer learning. Experience working with unstructured data formats such as PDFs, DOCX, and images. O Strong familiarity with data science best practices and the ML lifecycle. Strong experience with data pipeline development,...

We are seeking a highly motivated and detail-oriented Data Analyst to join our growing team. The ideal candidate will be passionate about transforming raw data into actionable insights, helping us make informed strategic decisions. You will play a crucial role in collecting, processing, and performing statistical analyses on large datasets, translating complex findings into clear, concise reports and visualizations for various stakeholders. Key Responsibilities: -Data Collection & Cleaning: Source, collect, and clean data from various internal and external databases, ensuring data accuracy, completeness, and consistency. -Data Analysis & Modeling: Perform in-depth statistical analysis, ident...

About the job: Key responsibilities: 1. Enter and manage day-to-day financial transactions using Tally software 2. Maintain accurate records of purchases, sales, receipts, and payments 3. Reconcile bank statements and ensure timely entries of all financial transactions 4. Generate invoices, GST reports, and other statutory filings as required 5. Assist in preparation of monthly, quarterly, and annual financial statements 6. Maintain general ledger and supporting schedules 7. Coordinate with external auditors and provide required documentation 8. Ensure compliance with accounting standards and company policies 9. Assist in inventory and asset management where applicable Who can apply: Only th...

REF69967Q_2025151745 - Deputy Manager - Operations - Data science Roles & Responsibilities: Data Analysis: Analyse large datasets to extract meaningful insights and trends Model Development: Develop and implement predictive models and machine learning algorithms to solve business problems Data Cleaning: Ensure data quality by cleaning and pre-processing data Visualization: Create visualizations to present data insights using tools like Power BI or Python libraries (eg, Matplotlib, Seaborn) Collaboration: Work closely with data engineers, software developers, and business stakeholders to understand requirements and deliver solutions Reporting: Generate automated reports and dashboards to prov...

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement mo...

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement mo...

What lands you in this role Prepare and transform datasets through thorough data wrangling, cleansing, and preprocessing to enable high-quality analysis. Build and maintain efficient data ingestion pipelines to seamlessly integrate data from multiple sources. Conduct deep exploratory data analysis (EDA) to identify trends, patterns, and actionable insights. Leverage Python and SQL extensively for data manipulation, querying, and deploying analytical models. Use Excel and BI tools (Tableau, Power BI etc) for dashboards and data analysis. Translate complex model outputs into clear, actionable insights for both technical and business stakeholders. Partner closely with data engineers, analysts, ...

Job Title: Data Analyst Location: Bangalore Experience: 6+ years Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metric...

Job Requirements Education: Bachelors degree (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Masters degree preferred (MBA/MS/M.Tech in Computer Science or related field) Experience: 5–7 years in a Data Science/Advanced Analytics role Behavioral Skills: Delivery Excellence Business Orientation Social Intelligence Innovation and Agility Knowledge & Technical Skills: Functional analytics experience (Supply Chain, Marketing, Customer Analytics, etc.) Statistical modeling using tools such as R, Python, KNIME Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Experience building and evaluating machine learning models MLOps too...

1.Research skills development Proposal Writing: Follow the pre-requisites for the proposal - Need for study, objective of study, decide the research approach and methodology, research design elements, sample plans, etc Draft the proposal adhering as per the project brief Preparation of 1st draft Research Instruments like Questionnaires, exploratory notes, researchstimulus materials, secondary market information. Field Work Material Preparation Should be able to preparerobust and errorfree material for launch of field work. This Includes- Brief note, budgets, show cards etc Questionnaire preparation Learn the basicsof questionnaire design,flow, filters, routing, different kinds of scales, imp...

RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). data wrangling, data cleaning, data preprocessing, and data

About the job: Key responsibilities: 1. Outbound calls to potential customers using provided scripts 2. Generate leads through references or social media 3. Maintain accurate records in our CRM system Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 3,80,000 - 5,00,000 /year Experience: 1 year(s) Deadline: 2025-06-22 23:59:59 Other perks: 5 days a week Skills required: Data Cleaning and Customer Acquisition Other Requirements: 1. International Outbound call experience is a must (Preferably Australia) 2. Candidates preferring to work from home also can apply (Only Laptop with headset & strong internet connection is sufficient About Company: Into...

Coordinating with different business analysts, Importing, cleaning, transforming, validating or modeling data with the aim of understanding or making conclusions from the data for decision making purposes, Extracting company information from different sources as per the requirements, Finding relevant information using Search-Engines like Google, Conducting research on executive profiles from respective company sites, Analyzing companies financial reports, Collecting data from different sources, data management, validations & final structuring using MS Excel, MS Word, MS Access and Internet. Sound knowledge of MS Excel, Access, Word & Internet