256 Data Cleaning Jobs - Page 3

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production

The role involves training and encouraging staff to maintain complete databases for subsequent analysis. This includes gathering raw data from relevant individuals in each department, collating the data for interpretation, and ensuring data accuracy by replacing erroneous values. Analyzing data with consideration for missing information, outliers, and variables. Reporting insights to inform business strategies, consulting on uncertainties, and updating data sets to align with business needs. This is a full-time, permanent position suitable for fresher candidates. The benefits include Provident Fund and a yearly bonus. The work schedule may vary between day shift, morning shift, and rotational shifts. The work location is in-person.,

Arcadis is a global leader in providing sustainable design, engineering, and consultancy solutions for natural and built assets. With a workforce of over 36,000 individuals spanning across 70 countries, our mission is to enhance the quality of life for all. Each member of our team plays a crucial role in addressing the most challenging issues globally and achieving substantial impact collectively. As a part of the Digital Advisory team, we are dedicated to expanding our expertise in digital transformation. Our focus lies in leveraging digital technologies and data analytics to drive competitive advantages for our clients. By combining lean principles, design thinking, advanced analytics, and domain knowledge, we aim to deliver disruptive business outcomes through a methodology known as Digital Transformation. We bring value to our clients through innovative digital solutions and intelligent operations that optimize and enhance their business processes. This role is situated within our Resilience global business area, where we strive to safeguard our natural environment and water resources while ensuring sustainable energy for future generations. In the face of challenges like climate change, rapid urbanization, and loss of biodiversity, we are committed to protecting our environment and resources to create a better world for the future. Key Responsibilities: - Extracting data from various sources like PDFs, images, and databases. - Assisting in optical character recognition for data digitization from images. - Utilizing natural language processing to comprehend data. - Developing statistical models to aid business decisions and monitoring their efficacy. - Collaborating with domain experts to identify business value drivers. - Documenting model design, algorithm choices, and dependencies. - Engaging effectively in cross-functional teams within the CoE and the organization. - Proactively seeking opportunities to contribute beyond assigned tasks. Qualifications & Experience: We are seeking fresh graduates or candidates with 0-1 year of experience as a Python Developer/Data Scientist. Key technical responsibilities include proficiency in Python, exposure to NLP and image processing, familiarity with Git, basic knowledge of Azure deployments, aptitude for OCR and ML model training, and willingness to work with unstructured data formats. Candidates should also possess familiarity with data science best practices, visualization tools like Power BI and KNIME, and programming languages such as Python and R. Data mining, cleaning, engineering, visualization, data analysis, and software development form essential components of this role. Why Arcadis At Arcadis, we value the unique contributions of every individual and believe in empowering our employees to excel. By adopting a skills-based approach, we encourage our team members to leverage their expertise and experience to shape their career paths and drive impactful outcomes collectively. Join us in delivering sustainable solutions for a prosperous planet and leave a lasting legacy that shapes the world around you. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging,

As a Clinical Data Manager I at Avance Clinical, you will be responsible for performing activities associated with the Data Cleaning activities of Clinical trials to ensure that the trials are conducted in accordance with the protocol, company Standard Operating Procedures (SOPs), ICH GCP guidelines, and other applicable regulatory requirements. Your core responsibilities will include autonomously developing study-related documents or plans, leading the Data management team as the Lead CDM, raising data queries in the EDC, ensuring accurate and timely filing as per SOP requirements, maintaining effective communication across the study team, participating in study-specific or vendor audits, and ensuring Serious Adverse Events are reported as per protocol requirements. In addition to your role-specific responsibilities, you will also be expected to foster a healthy team culture, maintain effective communication with other members of the department, proactively identify risks related to departmental service provision, participate in internal Quality Assurance activities, and embrace the core values of Avance Clinical. To qualify for this role, you should have a Bachelors level degree in life sciences, pharmacy, nursing, or equivalent field, at least 2 years of previous experience as a CDM in a Contract Research Organization (CRO) or Pharma company, formal ICH GCP training, a working knowledge of ICH GCP Guidelines and other applicable regulatory requirements, effective communication skills, ability to take initiative in problem-solving, and willingness to work in a positive and dynamic team culture. Avance Clinical offers a stimulating work environment, project diversity, an intellectual challenge, an agile & flexible workplace, opportunities for progression, stability, a sense of community, a leadership team that works together on a common goal, flexible work options, and great tools/tech to support you in your role. If you are a likeminded individual looking to join a growing business like ours, we invite you to submit your CV & cover letter as one Microsoft Word document to be considered for this exciting opportunity at Avance Clinical.,

You are a Junior Data Analyst with expertise in Python and Pandas, sought by EY to contribute to the Tax Technology Transformation team. Your responsibilities include hands-on data manipulation using Python/Pandas, writing efficient scripts for data cleaning and reconciliation, building data pipelines, applying data analysis techniques, performing reconciliations, creating data visualizations, and participating in team meetings. Your role requires a Bachelor's or Master's degree in accounting, information technology, business analytics, or a related field. You should have at least 1 year of practical Python coding experience and be able to showcase this through portfolio projects involving real data manipulation with Pandas. Proficiency in DataFrame operations, merging datasets, groupby aggregations, and data cleaning techniques using Pandas is essential. Additionally, you should have a working knowledge of SQL queries, relational database concepts, accounting principles, and financial data structures. Strong communication skills in French and English, both written and verbal, are necessary for this role. Proficiency in Microsoft Office suite, particularly Excel, is also required. EY values diversity and considers all applications equally, including those from individuals with disabilities. If you are looking to be part of a team that offers a variety of experiences, opportunities to explore different sectors, and engaging encounters, then consider joining EY in building a better working world. Embrace the EY experience and become a part of our team!,

As a qualified candidate for this role, you have a minimum of 5 years of experience in Apache Spark along with proficiency in Scala/Java/Kotlin. It is essential that you possess expertise in Scala language with spark, Hadoop, Hive, and SQL. Your educational background includes a 4-year degree in Quantitative disciplines or equivalent experience, or an MS in Computer Science, Applied Mathematics, Statistics, Physics, or relevant industry experience. With at least 6 years of experience in end-to-end application development, data exploration, data pipelining, API design, and model latency optimization, you are well-versed in deploying Machine Learning algorithms into production environments. Your programming skills in Java/Scala and/or Python are highly proficient, and you have a solid understanding of Big Data technologies such as Hadoop, Kafka, and Spark. You should also have a strong grasp of data analysis techniques, including data cleaning, preprocessing, and visualization. Your ability to collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into scalable machine learning solutions is crucial. Excellent communication skills are necessary for effectively conveying data-driven stories through visualizations, graphs, and narratives. Being self-driven and results-oriented, you excel in meeting tight deadlines. As a motivated team player, you can collaborate efficiently across global teams to achieve common goals.,

As a Research Associate for the AI Health Project in India, you will have the opportunity to work closely with Professors Pascaline Dupas, Duncan Webb, and Patrick Agte at J-PAL South Asia at IFMR. The project aims to utilize Artificial Intelligence (AI) to enhance healthcare in India by addressing challenges related to information frictions and capacity constraints. The use of AI technology in primary care settings has the potential to revolutionize patient data collection, provision of personalized health information, and optimization of healthcare services. Your primary role as a Research Associate will involve collaborating with academic researchers and field staff to conduct a randomized controlled trial (RCT) evaluating the impact of AI-generated health information on healthcare utilization and quality of care. The project will deploy an AI chatbot to collect patient symptoms, provide key information, and offer context-sensitive recommendations to patients, community health workers, and doctors. By randomizing villages into different arms, the study aims to identify the mechanisms driving changes in care-seeking behavior, resource allocation, and quality of diagnoses and treatments. During the initial phase of the project, you will focus on piloting through qualitative interviews and testing of the chatbot to inform the research design for the subsequent phases. Your responsibilities will include designing survey questionnaires, conducting qualitative and quantitative research, obtaining necessary approvals for surveys, overseeing implementation of activities on the ground, supervising data collection and entry, assisting with data cleaning and preliminary analysis, and preparing documents for dissemination. To qualify for this position, you should hold a Bachelors or Masters degree in Economics or related fields, possess fluency in English and Hindi, have experience in conducting qualitative interviews, and ideally have experience working in a developing country and conducting surveys in Rajasthan. Strong management, organizational, quantitative, and qualitative skills are essential, along with proficiency in STATA or R, familiarity with impact evaluations and randomized controlled trials, and the ability to give and receive feedback constructively. The position requires a commitment period of 6 months with the potential for extension. You should be flexible, self-motivated, efficient at multitasking, and willing to live in rural or peri-urban areas and travel extensively to study locations. Join us in leveraging AI to improve healthcare delivery and outcomes in India.,

Job Description: As a Data Analyst in the chemical manufacturing industry based in Ahmedabad, you will be crucial in supporting data-driven decision-making processes. Your primary responsibilities will include analyzing various data sets related to production, raw materials, quality, and energy usage. Through the use of tools like Power BI, Excel, and SQL, you will develop insightful dashboards and reports to monitor key performance indicators and identify areas for process optimization. Your role will also involve conducting root cause analysis on process deviations, working with SCADA/DCS and ERP data to extract actionable insights, and collaborating with cross-functional teams to enhance operational efficiency. It is essential to have a strong background in Excel (including VBA and Power Query), SQL, and Power BI/Tableau, along with knowledge of manufacturing systems such as SCADA/DCS. In addition to technical skills, you should possess expertise in data cleaning, process control, and managing large datasets. An analytical mindset, coupled with a deep understanding of chemical processes, will be instrumental in fulfilling the requirements of this role. Effective communication skills and a keen attention to detail are also key attributes for success in this position. To qualify for this role, you should hold a Bachelor's degree in Chemical Engineering, Data Science, Statistics, or a related field. The ideal candidate for this position would be a male candidate with at least 4-6 years of relevant experience in data analysis within the chemical manufacturing industry. If you are passionate about harnessing data for process optimization and driving efficiency in a dynamic manufacturing environment, we invite you to consider joining our team. This is a full-time, permanent position reporting to the Managing Director. With Regards, Himani(HR),

As a Consultant, you will collaborate in the fulfillment of consulting projects with a special focus on global markets. This will involve working closely with other consultants and project managers located in any of our global offices. Your responsibilities will include conducting primary research with healthcare professionals, industry players, industry associations, and national agencies. You will also be required to conduct secondary research on large data sets from various sources. Furthermore, you will collaborate in the analysis of quantitative and qualitative data for the development of financial models (e.g., eNPV), market models, economic impact models, health-economic models, as well as product adoption and acceptance models. Cleaning, transforming, and standardizing complex datasets from multiple sources will be essential to ensure consistency and reliability in analysis. You will be expected to design and develop interactive dashboards and reports using Excel and visualization tools such as Power BI and Tableau to communicate actionable insights to cross-functional teams. Additionally, developing market landscape presentations, market entry strategies, product positioning strategies, and other related tasks will be part of your role. Your work will involve solving complex business problems and participating in meetings and presentations to clients worldwide. Engaging in regular global training modules and required Pharmacovigilance training, both internally and client-specific, will also be a part of your responsibilities. Qualifications: - Minimum of 2-3 years of demonstrable experience within the healthcare industry in roles related to market insights/analytics, product management, strategy consulting, or related fields - Education: Masters degree in Biotechnology, Pharmacy (MPharm), Bioengineering/Biomedical Engineering, Business Administration, or a related field - Marketing, management consulting, market research, and reimbursement/pricing expertise are advantageous - Flexibility to work within a multicultural interdisciplinary team across various time zones - Fluent in English and preferably speak other foreign languages - Self-motivated with exceptional organizational skills - Advanced degree (PhD) is considered a plus,