| Lead Data Scientist :: Remote at Remote, Remote, USA |
| Email: [email protected] |
| Please share resume at [email protected] Role :- Lead Data Scientist Immediate need for a Lead Data Scientist to support our customer, a Federal Healthcare Insurance organization. The selected candidate will be responsible for identifying and solving business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, AI, operations research, and data mining. The selected candidate will use advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Acting as a liaison and interface between analytics, business units and other departments. Each of our clients data scientists owns their own high-impact projects, whether it is a new modeling technique delivering better predictions, a new analysis and visualization highlighting weak spots in our pipelines, or a new tool that can help the team-s workflow. We-re looking for a Data Scientist who can leverage their prior experience and take on and lead large data science projects, from inception to completion. In addition to contributing technically throughout the project, you will also responsible for: working with product to refine product requirements, managing/coordinating the efforts of other data scientists contributing to the project, and interfacing with stakeholders throughout the company. This position is a remote opportunity with rare onsite requests in the DC Metro area. We are seeking candidates that reside in the EST time zone. Required Skills Requirements: - 2+ years as a LEAD Data Scientist providing lead coordination support to other Data Scientist is required - 8+ years as a Data Scientist. Degree'ed professionals are preferred (4 additional years of experience could replace degree) - Python and SQL are required. Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling, machine learning and ETL processes. Intermediate to advanced ability to create data visualizations using Python. - AWS Cloud knowledge (AWS migration considered big plus). Must have solid knowledge in one or more AWS Service (SageMaker is REQUIRED, open to AWS Glue, Athena, Lambda etc..) - Ability to write production-ready code including documentation and unit tests. - Experience with machine learning methods like k-nearest neighbors, random forests, ensemble methods and more = Required - Knowledge in Artificial Intelligence (AI) = Required - Proficiency in data science modeling - Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling and Clustering. - Strong background in machine learning using unsupervised and supervised methods. - Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems - Fluency in SQL and other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.) - Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work. - Proven experience of using Python Machine Learning & Data Pre-processing Libraries. (Scikit Learn, Numpy, Pandas) - Ability to initiate and drive projects to completion with minimal guidance - The ability to communicate the results of analyses in a clear and effective manner - Ability to transform concepts into practical solutions. Experience with data science/ML techniques - Machine Learning experience -- Successful implementation of ML solutions - Communication Ability -- Experience/comfort in presenting abstract concepts Preferred, not required: - Preferred experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc. - Proficiency with healthcare analytics and data structures is preferred. - Desired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and simulation. - Experience with large data sets and distributed computing (Hive/Hadoop) a plus. - Leading data science projects or teams (as the most technically advanced team member) or working independently on data science projects. Thanks and Regards!! Akashika Pandey Technical Resource Specialist Ace Technologies Inc 2375 Zanker Road, Suite 250, San Jose, CA 95131 Phone: 1-408-617-7200 | Extn 4286 | Email ID/Hangout : [email protected] ------------------------------------------------------------------------------------------------------- Reporting Manager: Manish Sharma| Email ID : manish @acetechnologies.com | Phone: 1-408-617-7200 Ext 4298 Escalations : [email protected] Note: We respect your Online Privacy. This is not an unsolicited mail. Under Bills.1618 Title III passed by the 105th U.S. Congress this mail cannot be considered unsolicited as long as we include Contact information and a method to be removed from our mailing list. If you are not interested in receiving our e-mails then please reply with a "REMOVE" in the subject line to [email protected] and mention all the e-mail addresses to be removed with any e-mail addresses, which might be diverting the e-mails to you. We are sorry for the inconvenience -- Keywords: artificial intelligence machine learning rlang information technology California Idaho Lead Data Scientist :: Remote [email protected] |
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| Tue Jul 23 20:46:00 UTC 2024 |