| Data scientist role ll San Antonio TX(ONSITE)ONLY LOCALS ||10+ YEARS ||Dont share the profiles who submitted to HCL in past 3 months at San Antonio, Texas, USA |
| Email: [email protected] |
| Greetings from Shrive Technologies LLC!! Shrive Technologies LLC 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 role Location : San Antonio TX (Onsite) ONLY LOCALS Duration: Long term JD: 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. SKILLS: Required skills Ratings Out of 5 # of years used Candidate writeup (must be detailed filled by applicant) Exp as Data scientist Exp in working with Python Exp in working with machine learning technologies. Exp with R, SAS and Tableau Exp in Time series Forecasting, Classification models, Segmentation, Fraud Detection, NLP, Deep Learning Exp in banking/ financial domain Thanks & Regards, Sr. Recruiter Jeshwini (Jessy) Email: [email protected] linkedin.com/in/jeshwini-u-1ab7311b6 Shrive Technologies LLC 1300 West Walnut Hill Lane 155-H, Irving, Texas 75038, United States www.shrivetechnologies.com -- Keywords: artificial intelligence machine learning rlang information technology Texas Data scientist role ll San Antonio TX(ONSITE)ONLY LOCALS ||10+ YEARS ||Dont share the profiles who submitted to HCL in past 3 months [email protected] |
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| Thu May 30 01:02:00 UTC 2024 |