34 Job openings found

      Roles and responsibilities ·        Enable the power of data analytics in the medical/healthcare domain. ·        Enable the power of data science in the Marketing/customer analytics domain. ·        Work with multiple business units to develop solutions and accelerators for high-performance and scalable AI.  ·        Discover customer and patient findings/potential insights using advanced analytics techniques such as NLP, statistical analysis, ...

SKILL TITLEData Scientist KEY SKILLS ( MANDATORY)Machine Learning, Data Science, Scikit - learn , Python, tensor flow, pyspark . Hands on exp mandatory on python and tensor flow as mandatory JOB DESCRIPTION (DETAILED)Machine Learning, Data Science, Scikit - learn , Python, tensor flow, pyspark . Hands on exp mandatory on python and ...

  Job description 19.11.24   HPS/2024/712 BSC/MSC Fresher Male 1 0 to 1 BSC/MSC Roles and Responsibilities     BSC or MSC degree can vary depending on the field, but may include: Regulatory department Preparing certificates of analysis, technical data sheets, and stability data      Purchase department Researching company needs, building relationships with suppliers, and negotiating pricing      Quality assurance Supervising and checking the quality of production, and performing chemical testing      Android ...

Role Overview In this role, you will leverage your strong data analysis and modeling skills to build dataproducts that offer our clients valuable insights into their performance and the competitivelandscape. You will work with diverse 1st and 3rd party data sources-including email receiptdata, clickstream data, web scraped data, and more-to develop ...

Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 3.5 - 7 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product ...

Requirements: Overall 6+ years of work experience in relevant hands on experience handling data driven decisions Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments Must have strong of programming experience in R/Python Experience in machine learning techniques and algorithms, such as like-Classification, ...

Qualification Bachelor?s degree in Computer Science, Data Science,Mathematics, or related technical field.  Master/ PhD degree in Computer Science, Software Engineering, Mathematics, or related field.   Responsibilities   Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and ...

Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions.   Research and stay abreast of state-of-the-art machine learning technologies.   Follow code standards and best practices.  ...

Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions. Research and stay abreast of state-of-the-art machine learning technologies. Follow code standards and best practices. 7-8 years’ experience in ...

- 5-7 years of professional experience in data science, with a proven track record ofdelivering impactful solutions in a business setting.- Strong proficiency in machine learning techniques and algorithms, including supervisedand unsupervised learning, deep learning, and reinforcement learning.- Extensive experience in natural language processing (NLP) techniques and frameworks,such as NLTK, ...