SURESCRIPTS-RXHUB
Senior Data Scientist
SURESCRIPTS-RXHUB, Minneapolis, Minnesota, United States, 55400
SURESCRIPTS-RXHUB Senior Data Scientist Minneapolis, Minnesota Apply Now
Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers. Job Summary:
The Senior Data Scientist will play a pivotal role in developing and implementing data-driven solutions across various business functions, collaborating with cross-functional teams to analyze complex data sets, derive actionable insights, and drive strategic decision-making. The Senior Data Scientist is expected to possess expert business, data, and analytics expertise to handle complex advanced analytics initiatives. Responsibilities: Data Exploration:
Explore and preprocess data from various sources, measuring and ensuring data quality and integrity. Advanced Analytics:
Apply statistical and machine learning techniques to collect and analyze large datasets and identify patterns. Model Development:
Design, build, and validate predictive models to solve business problems. Data Visualization:
Create compelling visualizations to communicate findings and insights to stakeholders. Collaboration:
Work closely with business leaders, product managers, data scientists, and engineers to translate business requirements into analytical solutions. Mentorship:
Provide guidance and mentorship to other data scientists, analysts, and engineers within the team. Continuous Learning:
Stay abreast of industry trends, emerging technologies, and best practices in data science. Evangelism:
Promote the capabilities and opportunities that data science and advanced analytics empower towards corporate goals. Qualifications: Basic Requirements: Master's degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent experience. 5+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context. 5 years of experience with large healthcare transactional datasets/reporting. 5 years of experience in healthcare transaction data, including QA, testing and reporting. Expertise in programming languages to facilitate analysis (e.g. R, Python or MATLAB). Expertise with SQL /PLSQL, Relational and NoSQL databases, and Structured and Unstructured data. Analytical background and research experience with large volumes of personal data. Ability to translate statistical analysis into a written and verbal presentation for non-data science audience. Experience in statistical modeling using healthcare data. Experience developing training material and delivering training to user groups of 10 or more. Knowledge of privacy laws and regulations around health data (HIPAA). Experience developing in data science workbench environments (JupyterLab or others) and migrating data science projects to production systems (MLOps). Preferred Qualifications: PhD degree in a quantitative field (e.g., Data Science, Statistics) or MBA. Health IT industry knowledge with a special focus on e-prescribing. Expertise in statistical analysis and rigor, statistical software (e.g., R, SPSS, or SAS). Experience with large language models or natural language processing. Project management experience. Google Cloud environment expertise. Experience with MLOps frameworks such as GCP, DataBricks, or SnowFlake. Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed. Why Wait? Apply Now We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits. At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $155,600 - $190,200 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location. Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance,... For full info follow application link. Equal Employment Opportunity/Affirmative Action Employer - Disabled/Vets
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Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers. Job Summary:
The Senior Data Scientist will play a pivotal role in developing and implementing data-driven solutions across various business functions, collaborating with cross-functional teams to analyze complex data sets, derive actionable insights, and drive strategic decision-making. The Senior Data Scientist is expected to possess expert business, data, and analytics expertise to handle complex advanced analytics initiatives. Responsibilities: Data Exploration:
Explore and preprocess data from various sources, measuring and ensuring data quality and integrity. Advanced Analytics:
Apply statistical and machine learning techniques to collect and analyze large datasets and identify patterns. Model Development:
Design, build, and validate predictive models to solve business problems. Data Visualization:
Create compelling visualizations to communicate findings and insights to stakeholders. Collaboration:
Work closely with business leaders, product managers, data scientists, and engineers to translate business requirements into analytical solutions. Mentorship:
Provide guidance and mentorship to other data scientists, analysts, and engineers within the team. Continuous Learning:
Stay abreast of industry trends, emerging technologies, and best practices in data science. Evangelism:
Promote the capabilities and opportunities that data science and advanced analytics empower towards corporate goals. Qualifications: Basic Requirements: Master's degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent experience. 5+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context. 5 years of experience with large healthcare transactional datasets/reporting. 5 years of experience in healthcare transaction data, including QA, testing and reporting. Expertise in programming languages to facilitate analysis (e.g. R, Python or MATLAB). Expertise with SQL /PLSQL, Relational and NoSQL databases, and Structured and Unstructured data. Analytical background and research experience with large volumes of personal data. Ability to translate statistical analysis into a written and verbal presentation for non-data science audience. Experience in statistical modeling using healthcare data. Experience developing training material and delivering training to user groups of 10 or more. Knowledge of privacy laws and regulations around health data (HIPAA). Experience developing in data science workbench environments (JupyterLab or others) and migrating data science projects to production systems (MLOps). Preferred Qualifications: PhD degree in a quantitative field (e.g., Data Science, Statistics) or MBA. Health IT industry knowledge with a special focus on e-prescribing. Expertise in statistical analysis and rigor, statistical software (e.g., R, SPSS, or SAS). Experience with large language models or natural language processing. Project management experience. Google Cloud environment expertise. Experience with MLOps frameworks such as GCP, DataBricks, or SnowFlake. Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed. Why Wait? Apply Now We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits. At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $155,600 - $190,200 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location. Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance,... For full info follow application link. Equal Employment Opportunity/Affirmative Action Employer - Disabled/Vets
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