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Data Scientist (MLOPs Engineer) ML Ops - Data Science R&D

Company: Highmark Health
Location: Salem
Posted on: September 22, 2022

Job Description:

**Company :**Highmark Health**Job Description :****JOB SUMMARY*******Entirely Remote Work From Anywhere Role!*****MLOps team at Highmark Health manages the operation of enterprise ML platforms and infrastructure used by data scientist, focuses on the development, support, best practices, policies, procedures and governance of ML models, model lifecycle management, and builds associated engineering processes designed to deploy ML and AI models efficiently and reliably in production on cloud and on prem. As a member of the MLOps team, your key responsibilities include enabling data scientists deploy models to cloud based systems, maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud, building processes to monitor production ML systems, including setting up low latency and high throughput feature stores for real time scoring pipelines. Duties will include owning CI/CD application deployment pipelines for ML models, developing MLOps processes for model monitoring, model drift, evaluation of new ML tools and data science methods, and their selection and introduction to the wider organization, education and onboarding of Data Science teams to new technologies, participation in model and data code review, and horizon scanning to help maintain Highmark Health Advanced Analytics at the forefront of capability.**ESSENTIAL RESPONSIBILITIES**+ Work directly with the business to understand their questions, business processes, programs and/ or initiatives, then identifying how analytical solutions could help deliver value for them (e.g., more effective and/ or efficient processes). This would include being accountable for, outlining new use cases, creating high level impact estimates, and identifying the necessary data elements (including proxies) to deliver the analytical solution to complex business problems. Assemble data sets using knowledge of where the required data exists within the Organization's source data system, derived production sets or publicly available sources. Includes securing appropriate access and documenting objectives, assumptions and processes.+ Select and apply the appropriate advanced modeling/machine learning techniques to these data sets to deliver business insight, ensuring that the final analysis is well researched, accurate, and documented. This requires technical flexibility, in-depth knowledge and delivery of advanced analytical approaches, for example regression models, tree-based learning, neural networks, clustering techniques, natural language processing.+ Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and take action on. This will be include written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications, the analyses performed, and how the results link directly back to business objectives. It requires the incumbent to demonstrate their depth of understanding of many areas of the business, the data and the analytical methods through ongoing engagement with a range of audiences.+ Plan, prepare and deliver/coordinate all elements of the analysis in such a way that it is delivered on time, to a high standard and ready to implement on a production basis (including dissemination through the Organization's user systems). This includes identifying the best route to implementation (developing the analytical solution accordingly).+ Research self- directed new analytical skills and approaches, building relationships internally and externally to transfer knowledge and maintain their position as subject matter experts, consult with follow data scientists and analysts to guide analysis and deliver larger projects.+ Other duties as assigned.**EDUCATION****Required**+ Master's Degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering or related field**Substitutions**+ Bachelor's Degree in Analytics, Mathematics, Physics, Computer and Information Science or Engineering, or related field with 3 years of relevant experience**Preferred**+ Doctorate degree in Analytics, Mathematics, Physics, Computer and Information Science, or Engineering**EXPERIENCE****Required**+ 1 - 3 years in Data Analytics+ 1 - 3 years using Large Data-sets+ 1 - 3 years utilizing Statistical Software+ 1 - 3 years in Data Visualization+ 1 - 3 years in Predictive Modeling+ Academic research and/or work experience accepted**Preferred**+ 1-2 years in Software Engineering with strong proficiency in Python programming+ 1 year in DevOps and CI/CD application deployment pipelines to cloud including serverless, container orchestration, and cloud-based virtual machines+ Experience with at least one of the major cloud platforms: Google Cloud Platform, Amazon Web Services, and/or Microsoft Azure+ Understanding of end-to-end DS model development and deployment lifecycle+ Strong comfort with Linux/Unix shell+ High level of comfort working with Git+ Knowledge of Terraform, Docker and Kubernetes, workflow orchestration tools like Kubeflow, Airflow, Vertex Pipelines**LICENSES AND CERTIFICATIONS****Required**+ None**Preferred**+ GCP Professional Cloud Developer or GCP Professional Data Engineer or GCP Professional Machine Learning Engineer or GCP Professional Cloud Devops Engineer or equivalent+ AWS Certified Developer Associate or AWS Certified Machine Learning Specialty or AWS Certified DevOps engineer or equivalent+ Microsoft Certified: Azure Data Scientist Associate or Microsoft Certified: Azure AI Engineer Associate or equivalent**SKILLS**+ Analysis of business problems/needs+ Analytical and Logical Reasoning/Thinking+ Collaborative Problem Solving+ Data Analysis+ SAS+ SQL+ Statistical Analysis+ Written & Oral Presentation Skills+ At least one of the following automation tools and techniques: Auto IT, Selenium, and/or Python/Java automation libraries+ Knowledge of Python, Java, R, and/or Scala+ Proficiency with big data tools such as Hadoop, SparkMap Reduce, Pig, Solr+ Basic proto-typing/front end skills such as RShiny, Flask, Django+ Data analytics, including the development of data-driven predictive models+ Proficient operating in a Linux environment and with basic shell scripting+ Proficient command of SQL+ Demonstrated knowledge of concepts of power analysis, hypothesis testing, inference**Language (other than English)**None**Travel Requirement**0% - 25%**PHYSICAL, MENTAL DEMANDS AND WORKING CONDITIONS****Position Type**RemoteTeaches / trains others regularlyOccasionallyTravel regularly from the office to various work sites or from site-to-siteOccasionallyWorks primarily out-of-the office selling products/services (sales employees)NeverPhysical work site requiredYesLifting: up to 10 poundsNeverLifting: 10 to 25 poundsNeverLifting: 25 to 50 poundsNever**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._**_Compliance Requirement:_** _This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.__As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy.__Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability.Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability.EEO is The LawEqual Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity ( _https://www.eeoc.gov/sites/default/files/migrated\_files/employers/poster\_screen\_reader\_optimized.pdf_ )We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact number below.For accommodation requests, please contact HR Services Online at HRServices@highmarkhealth.orgCalifornia Consumer Privacy Act Employees, Contractors, and Applicants NoticeReq ID: J211744

Keywords: Highmark Health, Salem , Data Scientist (MLOPs Engineer) ML Ops - Data Science R&D, Engineering , Salem, Oregon

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