| Reply Requested: Senior Data Science | San Antonio TX (Onsite) | Long Term at San Antonio, Texas, USA |
| Email: [email protected] |
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Hi , Role : Senior Data Science Location : San Antonio TX (Onsite) Duration: Long Term The candidate should have 1. Strong expertise and experience in Feature Engineering Must have handled millions of records and thousands of columns of data and has done Feature Reduction, Feature Selection, Sample Selection, Feature Creation etc 2. Must have extensive experience in Prediction Models specifically XGBoost Models 3. Having knowledge in Graph DB and Graph Analytics is a plus AWS Neptune is preferred 4. Should be strong in python and ML libraries and packages for model development. 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. Build various ML Models within the Model guidelines and framework. Consults with peers for guidance, as needed. Translates business requirements into specific analytical questions, build ML Models and present model outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal stakeholders to deploy analytical solutions Skills & 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) roles Masters degree in computer science, Statistics, or a related field (Mathematics, Operational Research, Data Science) Must have extensive experience in Feature Engineering Data Wrangling, Feature Reduction, Feature Selection and Feature Creations Experience in Building and validating statistical, machine learning, and other advanced analytics models. Experience in Regression (multiple, Logistic etc), Classification (Decision Tree, Random Forest, XGBoost etc) and Time series Forecasting models (ARIMA), Segmentation, NLP, Deep Learning and Graph Analytics (AWS Neptune). Experience in Data Mining, Python, SQL, and familiarity with ML technologies Experience in using ML Libraries. Working Experience in Domino Data Lab, AWS Sagemaker, Snowflake are a plus Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) 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). Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. Thanks & Regards, Andy Saibber [email protected] T: 717-610-1199 Extn 431 ............................................................ The information contained in this e-mail and any attached documents may be privileged, confidential, and protected from disclosure. If you are not the intended recipient you may not read, copy, distribute, or use this information. If you have received this communication in error, please notify the sender immediately by replying to this message and then delete it from your system. WARNING: Computer viruses can be transmitted via email. The recipient should check this email and any attachments for the presence of viruses. The company accepts no liability for any damage caused by any virus transmitted by this email. www.Saibber108.com -- Keywords: machine learning database rlang information technology California Texas Reply Requested: Senior Data Science | San Antonio TX (Onsite) | Long Term [email protected] |
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| 12:57 AM 13-Feb-25 |