99 Job openings found

We are hiring for the profile- Data Scientist  Skills Required Skills:Data Science, Machine Learning, Deep Learning, Python, NLP Desired Skills: Computer Vision Roles and responsibilities Experience in Data Modelling, R, Python, SQL, Data Science, Machine Learning, Deep Learning,NLP, Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data ...

Experience 2 years to 5 years of experience as Analytics / Business Intelligence / Data Science mandatory Experience in Recommendation Engine for optimizing time spent on the platform. Experience with Big Data querying tools, such as Hive, Pig, and Impala Experience in Spark ML ( Spark Machine Learning) Age 25 - 36 yrs Others Looking for the candidates notice ...

Job Role : Data Scientist Exp : 4+ Years Location: Singapore ( onsite) Qualifications: Experience with ML models is a must Proven experience as a Data Scientist, Data Analyst, or similar role, specifically in the Telecom domain or with/for a Telecom company involved in OPEX analysis. Strong knowledge of statistical analysis, data modeling, machine ...

Job Role : Data Scientist Location: Tokyo, Japan ( onsite) Exp: 4+ Years Experience with ML models is a must Proven experience as a Data Scientist, Data Analyst, or similar role, specifically in the Telecom domain or with/for a Telecom company involved in OPEX analysis. Strong knowledge of statistical analysis, data modeling, machine ...

Required SkillsThe ideal candidate willHave the ability to handle structured /unstructured data like Text, Image and have prior experience in loading, validating and cleaning various types of data.Have very good understanding of data structures and algorithms. Have excellent coding skills in one or more of the following languages: Python, Java, ...

Data Scientist – Banking and Risk Management Role Summary: The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions. Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...

Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...

  Job Description – Data Modeler Architect Requirements:• 5+ years of experience implementing large data and analytics platforms.• Data Platform: Experience working in Data warehouse, Data Lake, and Spark Lakehouse environments to supportlarge-scale analytic applications.• Data Modeling: Extensive experience in designing Star and Snowflake schema models. Proficient in logisticsindustry operations.• ETL: Understanding ...

Key Responsibilities: Design, architect, and engineer big data solutions Develop a modern data analytics lake house Propose and standardize ELT, BI, AI, governance, and analytics Publish enterprise ingress, development, transform, egress, consumption guidelines Instrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes. Implement continuous integration, continuous deployment, DevOPs practice Create, ...

Job Summary Hands-on experience with writing Spark or Map-Reduce jobs and proficient understanding of distributed computing principles. Proficient in more than one of Python, Java, Scala & Shell-Scripting. Job Responsibilities: Understand & provide innovative solutions to business and product requirements using Big Data Architecture Take ownership of end-to-end data-pipeline including system design and integrating ...