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3000 Merative US L.P.
Ann Arbor, MI | Full Time
$111k-137k (estimate)
1 Week Ago
Data Scientist
$111k-137k (estimate)
Full Time 1 Week Ago
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3000 Merative US L.P. is Hiring a Remote Data Scientist

Join a team dedicated to supporting the crucial mission of improving health outcomes. At Merative, you can apply your skills – and grow new ones – with colleagues who have deep expertise in health and technology. Merative provides data, analytics and software for the health industry. Our clients include providers, health plans, employers, life sciences companies and governments around the world. With industry-leading products and focused innovation, we help customers improve decision-making and performance so that together, we drive real progress in health. Learn more at merative.com Data Scientist, Merative US LP, Ann Arbor, MI and various unanticipated client sites throughout the US (100% telecommuting permitted): Develop healthcare models using state-of-the-art machine learning algorithms, including libraries such as scikit-learn, SHapley Additive exPlanations (SHAP), TensorFlow or MLlib. Collect and analyze information such as medical records or billing information to extract useful and actionable insights to inform clients of problems. Create documents as needed to support and perform communications with internal and external clients, including dashboards, presentations, or methodology documentation. Explain the findings to non-experts so they can understand and use the high-level methodologies. Provide input to stakeholders based on business use cases to make decisions when multiple approaches are possible. Work on planning, designing, implementation, testing, deployment, and day-to-day operation of entire research and software development cycle. Design, write, test, debug, and deploy high-quality software to implement the statistical methodologies and machine learning models for various healthcare datasets. Perform adjustments to the standard technique so that refinements and new methodologies are developed with results compared to traditional approaches. Develop expertise with existing methodologies to architect, design and implement new functionality and product enhancements. Develop algorithms and production level code with scalable software systems that run on cloud platforms as well as on-prem solutions. Utilize: Python, PySpark, Statistical Analysis System (SAS), Machine Learning (scikitlearn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Required: Master’s degree or equivalent in Computer Science, Engineering, Information Technology, Mathematics, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist or related. One (1) year of experience must include utilizing Python, Pyspark, Statistical Analysis System (SAS), Machine Learning (scikit-learn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. $180,686.00 per year. Full time. D143. Skills and Abilities: The following skills are necessary for this job. Each skill has been assigned a requested proficiency level by hiring manager. The level ranges from 1-5 (low to high). Description: Python Pyspark Statistical Analysis System (SAS) Machine Learning (scikit-learn, SHAP, MLlib) Deep Learning (TensorFlow) MapReduce Hadoop Hive GitHub Jira Education/Experience Degree: Master’s degree or equivalent Field of Study: Computer Science, Engineering, Information Technology, Mathematics, Statistics or related Experience: One (1) year of experience as a Data Scientist or related. Employer will accept a bachelor's degree plus five (5) years of progressive experience in lieu of a master’s degree. This notice is being provided as a result of the filing of a permanent alien labor certification application for this job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer of the Department of Labor at: Certifying Officer U.S. Department of Labor Employment and Training Administration Office of Foreign Labor Certification 200 Constitution Avenue, NW Room N-5311 Washington, DC 20210 #LI-DNI #LI-DNP It is the policy of Merative to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Merative will provide reasonable accommodations for qualified individuals with disabilities. Merative participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees Merative is a place to grow. We offer opportunities to apply your skills — and develop new ones — with colleagues who have deep expertise in health and technology. At Merative we’re driven and professional, but treat each other with compassion and respect. Roles at Merative include product design and development, technology innovation, product and account management, sales and consulting, communications and marketing, management, operations and more. Don't see the role you are looking for? Complete your contact information and upload your resume and we will reach out to you should we find a match!

Job Summary

JOB TYPE

Full Time

SALARY

$111k-137k (estimate)

POST DATE

04/25/2024

EXPIRATION DATE

06/23/2024

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The job skills required for Data Scientist include Machine Learning, Python, Insight, Algorithms, Computer Science, Presentation, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

02/16/2022: Lansing, MI

Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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