| Data scientist ll San Antonio TX (Day one onsite - Need Local Profiles) at Day, New York, USA |
| Email: [email protected] |
| Iconic Infosys is an IT Development & IT Staffing firm with more than a decade of experience in providing IT Staffing Solutions & Services. Our expertise is in sourcing and deploying highly skilled IT Specialists into mainstream and niche technologies to meet clients Temporary, Permanent & SOW project needs. Role: Data scientist Location :: San Antonio TX (Day one onsite - Need Local Profiles) Duration: Long term RESPONSIBILITIES Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model guidelines and framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Consults with peers for guidance, as needed. Translates business request(s) into specific analytical questions, executing on the analysis and/or modeling, and communicating outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal stakeholders to deploy analytical solutions that are aligned with the customers vision and specifications and consistent with modeling best practices and model risk management standards. Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AI/ML. Collaborate with data governance teams to ensure compliance with regulatory requirements and industry standards related to data quality and privacy. QUALIFICATIONS 10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) , quality assurance and data management roles Bachelor's or Masters degree in Computer Science, Statistics, or a related field (Mathematics, Operational Research, Data Science) Experience in training (Building) and validating statistical, machine learning, and other advanced analytics models. Experience in Time series Forecasting, Classification models, Segmentation, Fraud Detection, NLP, Deep Learning Proficient in Python and Knowledge in R, SAS and Tableau Experience in using ML Libraries. Knowledge in Domino Data Lab, AWS Sagemaker is a plus Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data. Ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. Please provide the below details for submission along with Visa copy & Photo ID copy, I94/Passport# Candidate Details Candidate Full Name (As per SSN) Current location (City and State) Open for relocation to work location (Yes/No) Contact/Phone # E-mail Address Visa Type Visa Validity (Month & Year) /Work Authorization Date of Birth (Month & Year Only) Passport Number Bachelors details (University /College & Passing year) Masters details (University/College & Passing year) Total IT experience (Years) Onsite [USA/Canada] Experience (Years) LinkedIn Profile -- Thanks & Regards, Naren Email:[email protected] -- To post to this group, send email to [email protected]. Keywords: artificial intelligence machine learning rlang information technology Idaho Texas Data scientist ll San Antonio TX (Day one onsite - Need Local Profiles) [email protected] |
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| Thu May 30 19:28:00 UTC 2024 |