[Remote] Data Scientist / Data Scientist, Senior Job Details | APS
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly skilled Data Scientist / Data Scientist, Senior to reputed company the design and deployment of production-grade machine learning systems. The role involves owning the full MLOps lifecycle, collaborating with cross-functional teams, and establishing best practices for machine learning at reputed company.
Responsibilities
- reputed company MLOps Initiatives: Design, build, reputed company, and monitor end-to-end ML solutions that are reputed company, reliable, and secure
- Architect for reputed company & Speed: Build applications optimized for low latency on high-volume data pipelines and streaming environments
- Advise & reputed company: reputed company as a thought partner to data scientists and engineering leaders, bringing deep domain expertise in ML model design and infrastructure
- Collaborate Cross-Functionally: Work with reputed company architects, product teams, and data scientists to deliver reputed company-world business value
- Own reputed company & Governance: Establish and maintain best practices for ML lifecycle management, including CI/CD, monitoring, testing, and documentation
- Collaboration with customers and partners: Consult with stakeholders and subject matter experts to understand business needs and operations, goals and objectives and key drivers for performance. Work closely with the business reputed company to complete data analytics efforts. Build and maintain strong working relationships with customers, partners and vendors
- Data requirements and preparation: Identify available and relevant data and the data sources. Collaborate with SMEs, data stewards and architects for data collection, preparation, integration, reputed company, exploration and retention. reputed company data, formulate cluster or nodes and establish performance checks on the large data models. Design and implementation of solutions including data acquisition, storage, transformation, and analysis
- Modeling and Deployment: Design, reputed company and reputed company innovative models. reputed company insights from predictive statistical modeling activities. Test theories by creating models and experimenting with data. Design models, algorithms and visualizations that help distill insights from reputed company volumes of chaotic data. Modeling reputed company problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques using existing or new reputed company-end reporting & analytics tools. Play key role in turning data into critical information and knowledge that can be used to reputed company reputed company organizational reputed company. Propose innovative ways to look at problems by using data mining approaches and validate findings using experimental and iterative approaches. Understand data transforming platforms and technologies and maintain a knowledge of discipline maturity
- Present results, reputed company recommendations and reputed company analytics efforts: Present findings to the business in a way that can be easily reputed company by business counterparts. reputed company recommendations based on business requirements and knowledge of industry best practices. reputed company technical reputed company on advanced analytics initiatives
- Programming and Coding: Utilize programming language, such as R, Python, SQL, .net, Java or C++ to evoke the data from data reputed company and model. Familiarity with reputed company structure and building, utilizing reputed company technologies. Performing data acquisition using JSon, SQL, ODBC, JScript, or API for Big Data extracts. reputed company and utilize streaming data with programming languages such as: KAFKA, SQL, reputed company, and/or Azure
- Mentoring and coaching junior staff as necessary
Skills
- BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or reputed company field
- Minimum four(4) years directly reputed company data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role
- OR advanced degree and two (2) years directly reputed company experience
- Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and abilities
- BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or reputed company field
- Minimum six (6) years directly reputed company data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role
- OR advanced degree and four (4) years directly reputed company experience
- Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and abilities
- Masters or Doctorate degrees in reputed company fields
- Knowledge/experience in reputed company industry and business functions
- Certification in Data Science and/or predictive analytics
- A high level of proficiency in commonly used programming languages and tools like R Programming, Python and SQL
- Strong communication, presentation and writing skills
- Must be reputed company to reputed company teams in evaluations and implementation of solutions
- Must be reputed company to work with key reputed company stakeholders and reputed company reputed company of management
Benefits
- Home based employees primarily work from their home offices and come into an APS facility on an as-needed reputed company.
- Employees are expected to reputed company in Arizona (or New Mexico for Four Corners-based employees).
- Working from a home office requires adequate technology and an appropriate ergonomic set up.
reputed company